CN110119904A - A kind of Warships Equipment Maintenance Evaluation in Support Ability method and system - Google Patents
A kind of Warships Equipment Maintenance Evaluation in Support Ability method and system Download PDFInfo
- Publication number
- CN110119904A CN110119904A CN201910430148.1A CN201910430148A CN110119904A CN 110119904 A CN110119904 A CN 110119904A CN 201910430148 A CN201910430148 A CN 201910430148A CN 110119904 A CN110119904 A CN 110119904A
- Authority
- CN
- China
- Prior art keywords
- index
- evaluation
- warships
- assessment
- equipment maintenance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 229
- 238000011156 evaluation Methods 0.000 title claims abstract description 123
- 238000012423 maintenance Methods 0.000 title claims abstract description 120
- 238000005303 weighing Methods 0.000 claims abstract description 16
- 239000011159 matrix material Substances 0.000 claims description 59
- 230000000694 effects Effects 0.000 claims description 46
- 230000008569 process Effects 0.000 claims description 35
- 230000010354 integration Effects 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 13
- 238000013210 evaluation model Methods 0.000 claims description 10
- 230000008520 organization Effects 0.000 claims description 9
- 239000013598 vector Substances 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 5
- 238000012795 verification Methods 0.000 claims description 5
- 238000013480 data collection Methods 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 description 29
- 238000007726 management method Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 10
- 230000008901 benefit Effects 0.000 description 9
- 238000010276 construction Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 7
- 239000000203 mixture Substances 0.000 description 7
- 238000013459 approach Methods 0.000 description 6
- 238000011160 research Methods 0.000 description 6
- 230000015572 biosynthetic process Effects 0.000 description 5
- 238000002405 diagnostic procedure Methods 0.000 description 5
- 238000003786 synthesis reaction Methods 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000009472 formulation Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 238000006116 polymerization reaction Methods 0.000 description 4
- 238000012512 characterization method Methods 0.000 description 3
- 230000000875 corresponding effect Effects 0.000 description 3
- 238000011835 investigation Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000000750 progressive effect Effects 0.000 description 3
- 238000011002 quantification Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000005314 correlation function Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 230000009885 systemic effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000010304 firing Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003012 network analysis Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000004335 scaling law Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
- 230000004304 visual acuity Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to the technical fields of Warships Equipment Maintenance guarantee, and in particular to a kind of Warships Equipment Maintenance Evaluation in Support Ability method and system.The method determines assessment object first;Then the index system that assessment is established according to Warships Equipment Maintenance supportability influence factor determines assessment object, evaluation index and requirement;Warships Equipment Maintenance Evaluation in Support Ability model is constructed finally by index assignment method, weighing computation method or index comprehensive method.Method and system of the invention improves naval vessel Evaluation in Support Ability in the applicability of different occasions;The comprehensive extensive of data collection is realized by different index systems, more comprehensive, assessment result more objective and fair, applicability are more extensive according to different index calculating method realization evaluation indexes.
Description
Technical field
The present invention relates to the technical fields of Warships Equipment Maintenance guarantee, and in particular to a kind of Warships Equipment Maintenance supportability
Appraisal procedure and system.
Background technique
Maintenance of the vessel is that a content is extensive, involves a wide range of knowledge, the industry of technology complexity.In national economy and scientific and technical day
The today opened up increasingly, status and effect of the maintenance of the vessel in social development and national defense construction become more and more important.For warship
Ship equipment, even more being constantly progressive with modern science and technology, the complexity and technology content of weaponry are continuously improved so that
Maintenance for Equipment has become the important component of combat effectiveness of the troops, occupy status of equal importance with the operational performance of equipment.
In the prior art, different construction R & D Enterprises are proposed for Warships Equipment Maintenance Evaluation in Support Ability for certainly
The Evaluation in Support Ability method of body actual demand, but the above method is only suitable only for the Warships Equipment Maintenance guarantor of the individual models of small range
Hinder capability evaluation, data source is single, assessment models building modes are single, is not suitable for the popularization of large area.Therefore, need
It is proposed a kind of comprehensive strong, data collection more comprehensively extensively, evaluation index it is more sound, assessment result more objective and fair
Warship equipment capability assessment method, to adapt to the needs of warship equipment informationization, My Perspective On The Co-building.
Summary of the invention
Aiming at the above defects or improvement requirements of the prior art, the present invention provides a kind of Warships Equipment Maintenance supportability and comments
Estimate method and system.
By the invention it is possible to establish different types of assessment according to Warships Equipment Maintenance supportability influence factor difference
Index system, and then the Warships Equipment Maintenance Evaluation in Support Ability model that building meets actual demand is constructed, improve naval vessel guarantor
Hinder capability evaluation in the applicability of different occasions.
The present invention to solve above-mentioned technical problem used by technical solution are as follows:
A kind of Warships Equipment Maintenance Evaluation in Support Ability method, comprising:
S1 determines assessment object;
S2 establishes the index system of assessment according to Warships Equipment Maintenance supportability influence factor, determines assessment object, comments
Estimate index and requires;
S3 constructs Warships Equipment Maintenance guarantee by index assignment method, weighing computation method or index comprehensive method
Capability assessment model.
As a preferred embodiment, the Warships Equipment Maintenance supportability influence factor includes:
People, object, organization and administration and guarantee actual implementation.
As a preferred embodiment, the index system for establishing assessment includes:
The index system of assessment is established according to the establishment principle of index system and the method for building up of index system.
As a preferred embodiment, the establishment principle of the index system includes: scientific principle, systematicness original
Then, Perfect principle, alternative principle and feasibility principle;
The method for building up of the index system includes: Delphi consultation methods, analytic hierarchy process (AHP) and ADC method.
As a preferred embodiment, constructing Warships Equipment Maintenance by index assignment method in the step S3
Evaluation in Support Ability model, specifically includes:
By have access to inquiry, have an informal discussion understandings, questionnaire survey, now check, verification of sample, theory examine, skill examination or
Person's troop exercises come obtain index qualitative evaluation or be quantitatively evaluated result;
To the index qualitative evaluation or be quantitatively evaluated result using two-stage system, level Four system, hundred-mark system, income class or at
This class method carries out assignment to index.
As a preferred embodiment, constructing Warships Equipment Maintenance by weighing computation method in the step S3
Evaluation in Support Ability model, specifically includes:
Warships Equipment Maintenance Evaluation in Support Ability mould is constructed by subjective weighting method, objective weighted model or Evaluation formula
Type.
As a preferred embodiment,
The subjective weighting method includes: analytic hierarchy process (AHP), analytic network process, AHP-GEM integration algorithm, is based on assigning power
Equation, the target weight method based on variable weight principle;
The objective weighted model includes: information Entropy Method, maximizing deviation method, the independence weight for calculating information content weight
Correlation matrix diagnostic method;
The Evaluation formula includes: Evaluation formula based on the principle of least square and based on the logarithm principle of least square
Evaluation formula.
As a preferred embodiment, the weighing computation method specifically includes:
Using analytic hierarchy process (AHP), same first class index is compared by expert two-by-two, constructs weight judgment matrix;
Consistency check is carried out to the weight judgment matrix;
Weight judgment matrix by examining is calculated using matrix characteristic vector normalization the weight of each index
Value.
As a preferred embodiment, further including establishing people respectively according to Maintenance Support Capability Assessment index system
Member Manpower Estimate model, management ability assessment models, ensures that actual effect assesses mould at physical resources Evaluation in Support Ability model
Type, maintenance ability Integrated Evaluation Model;
Maintenance ability Integrated Evaluation Model is established according to the weight coefficient calculation method of index.
In addition, the Warships Equipment Maintenance is protected the present invention also provides a kind of Warships Equipment Maintenance Evaluation in Support Ability system
Hindering capability evaluation system includes following module:
Object determining module is assessed, for determining assessment object;
Evaluation index system establishes module, for establishing the finger of assessment according to Warships Equipment Maintenance supportability influence factor
Mark system determines assessment object, evaluation index and requirement;
Assessment models establish module, for passing through index assignment method, weighing computation method or index comprehensive method structure
Build Warships Equipment Maintenance Evaluation in Support Ability model.
As a preferred embodiment, the Warships Equipment Maintenance supportability influence factor includes:
People, object, organization and administration and guarantee actual implementation.
As a preferred embodiment, the index system for establishing assessment includes:
The index system of assessment is established according to the establishment principle of index system and the method for building up of index system.
As a preferred embodiment, the establishment principle of the index system includes: scientific principle, systematicness original
Then, Perfect principle, alternative principle and feasibility principle;
The method for building up of the index system includes: Delphi consultation methods, analytic hierarchy process (AHP) and ADC method.
As a preferred embodiment, the assessment models are established in module, warship is constructed by index assignment method
Ship Maintenance for Equipment capability assessment model, specifically includes:
By have access to inquiry, have an informal discussion understandings, questionnaire survey, now check, verification of sample, theory examine, skill examination or
Person's troop exercises come obtain index qualitative evaluation or be quantitatively evaluated result;
To the index qualitative evaluation or be quantitatively evaluated result using two-stage system, level Four system, hundred-mark system, income class or at
This class method carries out assignment to index.
As a preferred embodiment, the assessment models are established in module, warship is constructed by weighing computation method
Ship Maintenance for Equipment capability assessment model, specifically includes:
Warships Equipment Maintenance Evaluation in Support Ability mould is constructed by subjective weighting method, objective weighted model or Evaluation formula
Type.
As a preferred embodiment,
The subjective weighting method includes: analytic hierarchy process (AHP), analytic network process, AHP-GEM integration algorithm, is based on assigning power
Equation, the target weight method based on variable weight principle;
The objective weighted model includes: information Entropy Method, maximizing deviation method, the independence weight for calculating information content weight
Correlation matrix diagnostic method;
The Evaluation formula includes: Evaluation formula based on the principle of least square and based on the logarithm principle of least square
Evaluation formula.
As a preferred embodiment, the weighing computation method specifically includes:
Using analytic hierarchy process (AHP), same first class index is compared by expert two-by-two, constructs weight judgment matrix;
Consistency check is carried out to the weight judgment matrix;
Weight judgment matrix by examining is calculated using matrix characteristic vector normalization the weight of each index
Value.
As a preferred embodiment, further including establishing people respectively according to Maintenance Support Capability Assessment index system
Member Manpower Estimate model, management ability assessment models, ensures that actual effect assesses mould at physical resources Evaluation in Support Ability model
Type, maintenance ability Integrated Evaluation Model;
Maintenance ability Integrated Evaluation Model is established according to the weight coefficient calculation method of index.
Through the invention, different types of evaluation index is established according to Warships Equipment Maintenance supportability influence factor difference
System, and then the Warships Equipment Maintenance Evaluation in Support Ability model for meeting actual demand is constructed, it improves naval vessel supportability and comments
Estimate the applicability in different occasions;The comprehensive extensive of data collection is realized by different index systems, according to different fingers
Mark calculation method realize evaluation index more comprehensively, assessment result more objective and fair, applicability is more extensive.
Detailed description of the invention
Fig. 1 is Warships Equipment Maintenance Evaluation in Support Ability method and step schematic diagram of the invention.
Fig. 2 is Delphi consultation methods step schematic diagram of the invention.
Fig. 3 is the recursive hierarchy structure schematic diagram of index system of the invention.
Fig. 4 is ANP structural schematic diagram of the invention.
Fig. 5 is manpower human assessment's model schematic of the invention.
Fig. 6 is physical resources Evaluation in Support Ability model schematic of the invention.
Fig. 7 is management ability assessment models schematic diagram of the invention.
Fig. 8 is guarantee actual effect assessment models schematic diagram of the invention.
Fig. 9 is Maintenance Support Capability Assessment model schematic of the invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in the various embodiments of the present invention described below
Not constituting a conflict with each other can be combined with each other.
Embodiment one:
Fig. 1 show Warships Equipment Maintenance Evaluation in Support Ability method and step schematic diagram of the invention.Specific step is as follows:
S1 determines assessment object;
S2 establishes the index system of assessment according to Warships Equipment Maintenance supportability influence factor, determines assessment object, comments
Estimate index and requires;
S3 constructs Warships Equipment Maintenance guarantee by index assignment method, weighing computation method or index comprehensive method
Capability assessment model.
The object that the present invention should clearly assess the assessment of supportability first, followed by supportability influence factor
The index system that assessment is established on the basis of analysis specifies index request and relevant standard;It is finally to be assigned by providing index
Value method, weighing computation method and index comprehensive method etc. construct Evaluation in Support Ability model.Wherein, supportability index
System is usually on the basis of analyzing major influence factors, it then follows certain principle is established according to certain method.
As a preferred embodiment, the Warships Equipment Maintenance supportability influence factor includes:
People, object, organization and administration and guarantee actual implementation.The aspect of people, main support power include warship person, accompanying support
Personnel, motor-driven and support support personnel, main influence factor are whether the ability of all kinds of support powers meets maintenance support
It needs.The aspect of object includes mainly technical data, maintenance package and maintenance frock equipment, and main influence factor is various objects
Whether matter resource distribution is complete, if meets the needs of maintenance support.Organization and administration aspect, major influence factors are included whether into
Vertical relevant guarantee tissue and the process for specifying guarantee, if formulated relevant guarantee management system and fallen
It is real.In terms of ensureing actual implementation, major influence factors are the case where various maintenance support activities are embodied, if influence task
Execution etc..
As a preferred embodiment, the index system for establishing assessment includes:
The index system of assessment is established according to the establishment principle of index system and the method for building up of index system.
As a preferred embodiment, the establishment principle of the index system includes: scientific principle, systematicness original
Then, Perfect principle, alternative principle and feasibility principle.
Index system foundation is an essential step in Evaluation in Support Ability, and a very crucial step.Index body
System is more comprehensive, and the more objective the result of decision the more reasonable, but index just will increase the complexity and difficulty of assessment too much, because
This, will follow some basic principles for the selection of index, specific as follows: (1) scientific principle: in conjunction with actual conditions, to guarantor
The connection hindered between each element is analyzed, and is analysing the foundation such as set index name, calculation method and intension scientifically
On the basis of.(2) principle of systenatization: index system should be able to reflect to comprehensive system that the overall situation of assessment object and various aspects are special
Sign, therefrom catches principal element, reflects direct effect, but also reflection indirect effect, not only to guarantee the comprehensive and credible of assessment.
(3) Perfect principle: the assessment scale using representational important indicator as system, index system should be able to reflect and estimate
Assess the main feature of object various aspects and element.(4) alternative principle: having space-time comparativity between each index,
Cannot be compatible, it cannot mutually replace or comprising irrelevant index composing indexes system should be selected as far as possible.(5) feasibility is former
Then: the meaning of each index wants easy-to-understand, and achievement data has statistical basis, can obtain the support of relevant information data.It selects as far as possible
With quantitative target, qualitative index should be understood that its intension.Wherein crucially Perfect principle and independency principle.So-called completeness
I.e. each index can more fully reflect the full content of evaluated system;All indexs are mutual between so-called independence refers to same level
It is independent, but since index system is a complicated network, be all mutually related between each index, it is therefore, all based on finger
The appraisal procedure of mark system certainly exists defect.
The method for building up of the index system includes: Delphi consultation methods, analytic hierarchy process (AHP) and ADC method.
The Delphi consultation methods are directed to the limitation of evaluator and analyst on knowledge and experience, by organizing each side
The expert in face, is allowed to be involved in the problems, such as index system to play consulting effect, repetitious information exchange, statistical disposition and returns
It receives synthesis, reasonably provides the correlation between the whole indexs and each index that measures of effectiveness is included.So that it is determined that index body
The complete structure of system.The flow chart of this method is as shown in Figure 2.The essence of Delphi consultation methods is systems approach in value judgement
Extension, using the experience and wisdom of expert, according to various information and experience abundant that it is grasped, by it is abstract, summarize, comprehensive
Close, the thought process of reasoning, obtain the respective opinion of expert, then aggregated analysis and obtain index set.When this method is used,
Correctly selecting expert is that this method is successfully crucial.Although this method has the characteristics that using simple, intuitive is strong, its
Theoretical property and systematicness be not strong, and mainly expert assesses by the experience of oneself, it is difficult to guarantee the visitor of assessment result
The property seen and accuracy cannot provide the qualitative assessment result with clear physical significance.
The analytic hierarchy process (AHP) (AHP), thought are that complicated problem is resolved into one first when establishing index system
Each and every one minor issue, each problem are known as an element, then continue to decompose according to membership to each element, until most
Until bottom element can be measured relatively easily, recursive hierarchy structure as shown in Figure 3 is thus formed.Index system is most
Top layer is exactly system effectiveness (i.e. supportability), is in middle layer and is referred to as rule layer, sub- rule layer, the bottom is scale ginseng
Number, is build-in attribute, the specific descriptions of feature, we term it indicator layers.Analytic hierarchy process (AHP) (AHP) has clear thinking, side
The advantages that method is easy, widely applicable, systemic strong.It is often used in combination with Experts consultation method, carries out the building to index system.
The ADC method, in addition to basic index system construction method, some assessment technologies also give what another kind was fixed
Building method.Such as by the American industry circle Weapons Systems Effectiveness committee (weapon system effectiveness
Industry advisory committee, WSEIAC) model and method of the evaluation system efficiency that put forward.The efficiency is commented
Estimate method to pass through to system availability A (availability), Reliability D (dependability) and ability C
(capability) definition and analysis of 3 indexs, the comprehensive single efficacy measure that system effectiveness is described at one.Wherein A, D
Model is fairly simple, can be can be obtained by analysis system working condition and dependability parameter, and C model also needs building and refers to
Mark system.ADC method, can also be with the comprehensive use of analytic hierarchy process (AHP) other than it can individually decompose to system effectiveness.
Assessment models foundation generally comprises bottom index assignment method, same layer index weights coefficient calculation method and submodule
The contents such as type polymerization.
Index system includes multilayer, and it is to refer in order to clearer to upper layer that each layer, which is the further decomposition to upper one layer,
Mark is described.Other than upper layer index value can be obtained by lower layer's indicator polymerization, bottom index needs assignment.Currently, index is assigned
Value is that the emphasis of system evaluation areas is also Major Difficulties, it is contemplated that the uncertainty and ambiguity of system, it is impossible to whole
Index carries out quantitative precise value, and can only qualitatively be evaluated part index number (such as excellent, good, in, poor), but in reality
There is still a need for quantify qualitative evaluation conclusion when polymerization.
As a preferred embodiment, constructing Warships Equipment Maintenance by index assignment method in the step S3
Evaluation in Support Ability model, specifically includes:
Firstly, by have access to inquiry, understandings of having an informal discussion, questionnaire survey, now check, verification of sample, theory is examined, technical ability examines
Core or troop exercises obtain index qualitative evaluation or result are quantitatively evaluated;Wherein, the main access inquiry scheme of inquiry is had access to
Prediction scheme, system are implemented and situations such as equipment Safeguard.Understanding emphasis of having an informal discussion, which understands to grasp to equip, prepares implementation of conditions and supportability
Situations such as construction situation, existing conspicuous contradiction problem and reason, opinions and suggestions and countermeasuress.Questionnaire survey is to select as the occasion requires
All kinds of personnel organize blank questionnaire survey, understand the actual conditions for grasping officers and men in terms of supportability.It now checks to adopt
Take counterpart test mode organize and implement, emphasis check the equipment support power marshalling, material damage supply, monitoring and metering, troubleshooting repair and
Situations such as motor-driven guarantee.Sampling is verified as the case where reporting and in data, extract certain amount it is representative want prime implicant,
Verification is compared in control index request.Theory examination is main to rely on theoretical examination exam pool, selects the personnel of being examined, emphasis inspection as the occasion requires
It tests officers and men and skillfully grasps rules and regulations and its application.Skill examination is that personnel are examined in determination as the occasion requires, takes actual load to operate, is real
The case where forms such as ground operation, high spot review maintainability.Troop exercises are to drill instruction activity in conjunction with war preparedness, and overall process total system is complete
Element follow-up investigations armed forces in real combat, actual load, firing practice, the practical capacity that emphasis examines Support Equipment and task to complete.
Secondly, to the index qualitative evaluation or result is quantitatively evaluated using two-stage system, level Four system, hundred-mark system, income class
Or cost class method carries out assignment to index.Wherein, two-stage system is suitable for necessary rigid index request up to standard, qualification 100
Divide, is 0 point unqualified.Level Four system be suitable for qualitative evaluation index request, excellent 100 points, it is 80 points good, in 60 points, it is 0 point poor.Percentage
The index request that system is suitable for expert or computer scores.Income class is suitable at the equivalent quantization that real data is the bigger the better
Reason, score value transformation model are as follows: score=(practical ÷ standard) × 100;It is 100 when real data is greater than or equal to normal data
Point.Cost class is suitable for the smaller the better equivalent quantification treatment of real data, score value transformation model are as follows: and score=[1- is (real
Border-standard) ÷ standard] × 100;It is 100 points when real data is less than or equal to normal data.
In addition to the above methods, assignment can also be carried out to index by emulation and SEA method.Wherein: the method for emulation
It is the common method of assignment to be carried out to bottom index, but its essence is still analytic method, and application equally has limitation;SEA method
Also referred to as system discordance method, describes the matching degree of system running track and mission decomposing, and essence is original by system
Parameter direct polymerization obtains the comprehensive effectiveness of system.However, since public attribute space is difficult to establish, and since system capability arrives
The mapping in the space is usually nonlinear, brings high resistance to the popularization and application of SEA method.
Index weights, which assign power method, common are two classes: the first kind is subjective weighting method, i.e., provides preference information by expert
Method;Second class is exactly objective weighted model, and such methods are the methods based on index matrix information.The advantages of subjective weighting method
It is that each index weights can reasonably be determined according to the knowledge experience of practical problem and expert itself when in this way,
Although accuracy is not high, the sequencing of weight can be substantially provided by significance level, be unlikely to occur index weights with
The case where practical significance level is runed counter to.But due to subjective weighting method be by expert according to the knowledge and experience of oneself make to reality
The subjective judgement of border problem, therefore its last important order has very big subjectivity random, while being also assessed expert certainly
The quality of body and the restriction of knowledge experience;The advantages of objective weighted model is that the objectivity of weight is strong, and does not increase the negative of policymaker
Load has stronger mathematical theory foundation.Its shortcoming is that can not consider the subjective intention of policymaker, when determining weight, institute
The result obtained may be inconsistent with the subjective wishes of people.
As a preferred embodiment, constructing Warships Equipment Maintenance by weighing computation method in the step S3
Evaluation in Support Ability model, specifically includes:
Warships Equipment Maintenance Evaluation in Support Ability mould is constructed by subjective weighting method, objective weighted model or Evaluation formula
Type.
Wherein, subjective weighting method include analytic hierarchy process (AHP) (AHP method), analytic network process, AHP-GEM integration algorithm,
Equation, target weight method based on variable weight principle etc. are weighed based on assigning.
(1) analytic hierarchy process (AHP): analytic hierarchy process (AHP) (Analytical Hierarchy Process, abbreviation AHP) is the U.S.
The network analysis that a kind of quantification and qualification that Regensburg college professor T.L.Saaty is proposed the 1970s combines
Method, be developed so far it is highly developed, using also very extensive in system evaluation areas.Analytic hierarchy process (AHP) refers to same
Each index of level is compared two-by-two about the significance level of be subordinate to index in a upper level, constructs multilevel iudge square two-by-two
Battle array, carries out the consistency check of judgment matrix, the relative weighting of each index is finally calculated by judgment matrix, when calculating all layers
Relative weighting after can linear weighted function and successively polymerize obtain the whole effect of system.It should be noted that judging in construction
When matrix, expert opinion is usually considered.Analytic hierarchy process (AHP) is a kind of weigthed sums approach, and advantage is simple and easy, the disadvantage is that in structure
It joined subjective factor when making judgment matrix.
(2) analytic network process: conventional construction method is the progressive hierarchical structure based on AHP analytic hierarchy process (AHP), knot
Structure is made of destination layer, rule layer and object layer.It is the relationship for dominating with being dominated between at all levels, i.e. upper layer index dominates
Lower layer's index, and upper layer index cannot dominate the index not being directly linked in lower layer with oneself, between same layer index mutually
It is independent, it is unrelated.However in actual assessment, each factor is often interrelated, influences each other, constitutes one organically
It is whole.Simple progressive hierarchical structure can not this kind of complex decision system of accurate description, therefore, using be based on networking index
The ANP Analytic Network Process of architecture carries out modeling analysis.Typical ANP structure is as shown in Figure 4.Wherein, it is wrapped in control layer
Include the criterion p for influencing decision objective1,p2.…,pm, network layer has element group C1,C2,…,CN, and comprising referring in either element group
Mark element
(3) AHP-GEM integration algorithm: the essence of group eigenvalue method (GEM) is that searching scoring vector and group are special
Family (S1, S2..., Sm) the smallest ideal expert S* of the sum of angle, using the scoring of S* as the sequence of assessed object.AHP and GEM
All it is to combine qualitative and quantitative factor, handles decision problem with a kind of unified mode.AHP has systemic and practical
The advantages that property, but it is inconsistent there are judgment matrix the disadvantages of;GEM has larger flexibility with terseness, group decision-making, scale
The advantages that, but exist and excessively rely on expert opinion, consider a problem the disadvantages of excessively general.In the way of comprehensive integration by AHP and
GEM is combined, and can accomplish to maximize favourable factors and minimize unfavourable ones.
Its combining step is as follows: firstly, the first step according to AHP establishes hierarchy Model;Secondly, determining that expert comments
Sub-matrix, it is assumed that using upper layer element O as criterion, lower layer's Elements C for asking expert to dominate criterion O1, C2..., CnDirectly give a mark,
Obtain expert analysis mode matrix X;The element sequence for calculating expert analysis mode matrix X with GEM method again, normalizes the power as element
Weight;Second is finally repeated from top to bottom according to hierarchy Model to third step, acquires the weight of each layer element.
(4) based on the Index Weights for assigning power equation: often there is certain deviation or mistake in the subjective will of people, no
It can objectively reflect the weight of index.In order to eliminate the influence of part human factor, introduces tax power equation and determine indices
Weight.It is that each index that will be determined makees an arrangement by its significance level based on the Index Weights for assigning power equation, it is different
Index is of equal importance to can also be in same grade, then calculates weight coefficient according to the calculation formula for assigning power equation, it is public to assign power
The weight coefficient of formula method due to only related with the estimated levels of the number of decision objective and each target in all decision objectives,
Therefore there is preferable objectivity.The disadvantage is that assigning the calculation formula of power equation also needs further to improve, and the sequence of each index
When also joined subjective factor.
(5) it is based on variable weight principle target weight method, further investigation revealed that, there are a needs are improved for the above method
Problem, the height of supportability depend not only on the height of the comprehensive assessment value of indices, additionally depend on wherein single index
Height the index weights based on penalty can also be proposed using " short -board effect " for " short -board effect " of prominent system
Assignment method, but how to determine penalty also in reality needs further to study.
Wherein, objective weighted model is mainly based upon index matrix information, such as calculates information Entropy Method, the deviation of information content weight
Maximization approach, correlation matrix diagnostic method of independence weight etc..Wherein, information Entropy Method is to be to the definition of entropy in information theory
Base configuration goes out a kind of method that index weights are determined using index value, and thought is when certain indexs are in each evaluated side
When differing greatly between case, resolving power is strong, and the information for including is just more, their effects in comprehensive assessment, final decision
Just big, weight just should be larger, and class pulls open larger between the assessment result that advantage is, is conducive to make a policy, still
This method has significant limitation, because the meaning compared between them is not to almost relatively independent between each index
Greatly.The thought of maximizing deviation method is only different to the calculation method of the weight of its index as information Entropy Method.Independence
The correlation matrix diagnostic method of weight is concentrated in ideal indicator requires determining index irredundant, but due to the complexity of measures of effectiveness
Property, inevitably with the presence of part duplicate message between each index in index system, play them too much in overall merit
Effect, by being weakened with independence weight, evaluator determines correlation matrix by certain scale to influencing each other index.It lacks
Point is that the determination reasonability of scale is to be improved, and joined subjectivity.
However, from the advantage and disadvantage of above-mentioned subjective weighting method and objective weighted model it is found that above two method has centainly
It is complementary.In order to make the result of assessment more scientific, assessment experts had not only been taken into account to the preference of index, but also strove reducing entitled subjectivity
Randomness can use Evaluation formula.The Evaluation formula based on the principle of least square is explained below and is based on logarithm most
Small two multiply the Evaluation formula of principle: the Evaluation formula based on the principle of least square advises target using the principle of least square
The scheme of drawing is introduced into combination weighting, to obtain new indicator combination enabling legislation.The principle of combination weighting is according to various
The weight coefficient that the significance level of method determines is the weight coefficient of subjective weighting method and the weight coefficient of objective weighted model, and weight coefficient is really
It surely is the key that combination weighting combination, weighting coefficient should can reflect that policymaker assigns the subjective preferences of power method to each,
The degree of consistency that can reflect various tax power methods again, from the mathematical theory basis of Evaluation formula: obtained by combination weighting
Assessment result should as far as possible with subjective weighting method and resulting the being consistent property of assessment result of objective weighted model, if therefore a kind of
Assessment result approach degree obtained by the resulting assessment result of tax power method and other several tax power methods is higher, which weighs adding for method
Weight coefficient is bigger.Evaluation formula based on the principle of least square first asks combination weighting and master first with the principle of least square
The deviation for seeing enabling legislation, then seeks the deviation of combination weighting and objective weighted model, in order to keep combining weights optimal, enable total deviation and
It is minimum.Wherein, setting μ is deviation preference heterogeneity, even 0≤μ≤0.5, then illustrates that expert tends to objective weight, as 0.5≤μ
≤ 1, then illustrate that expert tends to subjective weight.This method gets up subjective weight and objective weight weighted comprehensive, weighting system
Number is found out by Mathematical Planning, to compensate for the simple deficiency using subjective weighting method or objective weighted model, makes the analysis of assessment
As a result simultaneous reactions subjective desire and objective circumstances.Evaluation formula based on the logarithm principle of least square: similarly, if enabling group
Close and assign power assessment result and other are assigned power method assessment results and are indicated with the logarithm principle of least square, other with based on minimum two
The Evaluation formula for multiplying principle is the same.Least square is that objective function is constructed with the difference of assessment result, and logarithm least square is
Objective function is constructed with the quotient of assessment result.The characteristics of Evaluation formula based on the principle of least square is to make various tax Quan Fang
Between method have linear compensation effect, the resulting assessment result consistency of Evaluation formula based on the logarithm principle of least square compared with
It is good.
Further it is proposed that a kind of model integrated approach, model is comprehensive to be referred to according to the calculating of the index value of bottom finally
Supportability process, finally obtain assessment as a result, being the extremely critical step of Evaluation in Support Ability.In addition to calculating weight simultaneously
It further include the theory and method comprehensive with drag outside the method for directly carrying out linear comprehensive by coefficient.
(1) it is based on grey --- the synthesis of evidence theory, the current research for Evaluation in Support Ability considers uncertain
Factor is less, but actually in the assessment subjective preferences of main body, the complexity of ability itself, the multiplicity of evaluation index information source
Property and assessment information fusion etc. all there is certain uncertainty, necessarily affect the reliability of final conclusion.Grey
The powerful for such issues that Systems Theory is processing, it is used for by what China was founded famous scholar Deng Julong professor's nineteen eighty-two
Handle uncertain information method, principle is the unknown message that system is determined by Given information, thus make system by
" ash " change " white ".Evidence theory be by the U.S. Dempster in 1967 propose and by its student G.Shafer improved with
It develops, can preferably handle the composition problem with ambiguity and unascertained information.Establishing Evaluation in Support Ability
On the basis of index system, method is investigated by expert method, on the spot first and simulation analysis method obtains evaluation index value, and passes through meter
The grey relational grade between evaluation index value and capability evaluation grade is calculated, the elementary probability point of evaluation grade under distinct methods is constructed
Match, finally the evaluation grade under distinct methods is synthesized using the composition rule of evidence theory, to obtain supportability
Assessment result.
(2) uncertain and ambiguity factor quantification, assessment result can more be met visitor by Fuzzy Comprehensive Evaluation
It sees, rationally, is determining index weights and construction fuzzy matrix with the key that this method is assessed, in the method for index weights
By the agency of mistake, the construction method of fuzzy evaluation matrix have Subordinate Function and expert graded in face, and common membership function has
Very much, such as: triangular function, half trapezoidal function, non-linear membership function and some other improved subordinating degree function etc. lack
Point is that cannot provide the qualitative assessment with clear physical significance as a result, the foundation of membership function is largely by warp
It tests, expert estimation rule subjectivity is too strong.
(3) TOPSIS method, the basic principle of TOPSIS are by means of decision-making problem of multi-objective " ideal solution " and " negative ideal
Solution " is ranked up, with the superiority and inferiority degree of each scheme of determination." ideal solution " is a virtual preferred plan, its each finger
Scale value all reaches the optimal value in each scheme;" minus ideal result " is therewith on the contrary, its each index value all reaches each scheme
In most bad value." ideal solution " and " minus ideal result " represents the extreme case for laying siege to and fighting off in decision process.
(4) Yun Chongxin evaluation assessment, Yun Chongxin evaluation assessment are in uniform data acess as a kind of comprehensive evaluation method
What latest development was got up, the uncertain conversion between qualitative and quantitative is embodied, can be realized quantitative attributes and perception extraction
Between conversion.The ambiguity and randomness of spatial entities are integrated together by cloud model, combined for qualitative, quantitative
Information processing provides powerful, and its essence is be a kind of Fuzzy Comprehensive Evaluation, the cloud model proposed by Li Deyi academician
Theory describes the uncertain conversion between certain qualitativing concepts and the expression of its numerical value using natural language, can adequately carve
The randomness and ambiguity of qualitative language are drawn, there is biggish objectivity and universal adaptability.Since cloud model has generally
Applicability, this method have generalization and commonly used value.
(5) Method of Set Pair Analysis, Set Pair Analysis are a kind of systems about determining uncertain system with different anti-quantitative analysis
Analysis method, core be by system certainty and uncertainty give dialectical analyze and Mathematical treatment, it is believed that not really
Qualitative is the essential attribute of things, and uncertain and certainty is carried out comprehensive investigation as a system.Set Pair Analysis
The certainty of system is divided into " same " and " opposition " two aspect, the uncertainty of system is defined as " difference ", " same ",
" difference " and " opposition " (referred to as with different anti-) three connects each other, mutually restricts, and can mutually turn under certain condition
Change.The basic conception of Set Pair Analysis is collection pair and its Pair Analysis.So-called collection pair, refers to the two set institute groups centainly contacted
At antithetical phrase.Under specific Question background, is classified to collection to the connection in a certain characteristic and quantitatively portrayed, with Pair Analysis
Indicate the dialectical relationship of collection pair.The meaning of Pair Analysis is under a certain Question background, and the connection gathered collection centering two carries out phase
To determining and do not know dialectical quantitatively to portray relatively.The Method of Set Pair Analysis building of index system, the determination of index value in front
And on the basis of the determination of index weights, by determining relatively space, Pair Analysis is further determined in relatively space, finally
The degree of association and weight are bonded comprehensive Pair Analysis, assessed on this basis.Evaluation in Support Ability problem if there is
It is uncertain, uncertainty will directly affect the stability and reliability of ranking results.Based on Set Pair Analysis thought, structure
The multi objective assessment models built, directly define Pair Analysis with initial data, are assessed with quantitative result supportability.
Model payes attention to the relativity and ambiguity in information processing, portrays opposition with Pair Analysis and takes into account;Meanwhile principle is intuitive, calculates public
Formula and step are easy, as a result rationally, it is objective, can provide one kind new thinking to solve the problems, such as that military field is similarly evaluated.
(6) multi-level extension evaluation method, by the analysis and research to the above method, it can be found that these methods are often not
Divided rate range can be dynamically adjusted according to actual needs, the refinement classification of supportability is realized, so that assessment result
Specific physical significance has been difficult to it, it is difficult to use, military equipment management and staff are difficult to objectively and accurately grasp supportability
Actual state.Optimal appraisal method in extenics method utilizes Region place value and correlation function, in the feelings weighted to each measurement condition
Under condition, the superiority and inferiority degree an of object is evaluated.In measurement condition, the condition of " satisfaction " is added, cuts evaluation more
It closes practical;Simultaneously as correlation function value can just be born, so as to correctly reflect the superiority and inferiority degree an of assessed object.It can
The citation form for opening up appraisal procedure is that level-one can open up comprehensive assessment, for fairly simple problem, can obtain more scientific result;
But complicated assessment should be commented numerous index classifications to establish Multilevel Extension since the evaluation index to be considered is more
Estimate model.The Synthesis Relational Grade of each grade is calculated, the size of more each grade Synthesis Relational Grade is to determine assessment result.
The present invention establishes manpower and personnel, physical resources on the basis of Maintenance Support Capability Assessment index system respectively
Supportability, management ability and the assessment models for ensureing actual effect, provide the weight coefficient calculation method of index of correlation, and
Establish maintenance ability Integrated Evaluation Model.The weight for determining each index is the basic work of assessment.Usually it can be used
Analytic hierarchy process (AHP) compares same first class index by expert two-by-two, forms weight judgment matrix, and carry out consistency check, examines
By rear, so that it may the weighted value of each index be calculated using matrix characteristic vector and normalization.
As a preferred embodiment,
The subjective weighting method includes: analytic hierarchy process (AHP), analytic network process, AHP-GEM integration algorithm, is based on assigning power
Equation, the target weight method based on variable weight principle;
The objective weighted model includes: information Entropy Method, maximizing deviation method, the independence weight for calculating information content weight
Correlation matrix diagnostic method;
The Evaluation formula includes: Evaluation formula based on the principle of least square and based on the logarithm principle of least square
Evaluation formula.
As a preferred embodiment, the weighing computation method specifically includes:
Using analytic hierarchy process (AHP), same first class index is compared by expert two-by-two, constructs weight judgment matrix;
To objectively respond the personnel's experience that participates in evaluation and electing, using comparative approach two-by-two, importance measures 1~9 scaling law, such as table
It is shown.If index there are k, index i is compared with index j, comparing may have:
Index i is of equal importance compared with index j, takes aij=1;
Index i is slightly important compared with index j, takes aij=3;
Index i is more important compared with index j, takes aij=5;
Index i is compared with index j, hence it is evident that and it is important, take aij=7;
Index i is extremely important compared with index j, takes aij=9.
It takes
aji=1/aij (1)
Among k index, compared two-by-two, then discrimination matrix can be obtained
And meet
aij> 0, aij=1/aji, aii=1 (2)
Scale | Meaning |
1 | Two indices are compared, and have property of equal importance |
3 | Two indices are compared, the former is slightly more important than the latter |
5 | Two indices are compared, the former is more more important than the latter |
7 | Two indices are compared, the former is more obvious than the latter important |
9 | Two indices are compared, the former is more extremely important than the latter |
2,4,6,8 | The median of above-mentioned correlated judgment |
1 importance scale of table measurement
Secondly, carrying out consistency check to the weight judgment matrix;By the construction of matrix it is found that weight judgment matrix is answered
With transitivity.Meet aij.ajm=aim(i, j, m=1,2 ..., k) claims to weigh if weight judgment matrix meets transitivity
Weight judgment matrix S is with uniformity.
The definition of above-mentioned consistency matrix is a kind of ideal situation, the judgment matrix in the analysis processing of practical problem
Generally it is unable to satisfy above-mentioned requirements.I.e. when determining content index weight using step analysis, often require that judgment matrix has
There is approximate consistency, that is, requires that consistency should not be deviateed when multilevel iudge two-by-two too big.It is consistent that judgment matrix is given thus
Property examine method:
(a) the Maximum characteristic root λ of weight judgment matrix A is soughtmax;
(b) coincident indicator is found out(order that k is judgment matrix A);
(c) corresponding Aver-age Random Consistency Index RI is searched;
(d) consistency ration is calculated;
(e) as CR < 0.1, it is considered that the consistency of judgment matrix A is acceptable, otherwise, it should which adjustment is sentenced
Disconnected matrix, makes it meet coherence request, to guarantee the credibility of required weight vectors result.
Matrix order | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
Index RI | 0 | 0 | 0.52 | 0.89 | 1.12 | 1.26 | 1.36 | 1.41 |
Matrix order | 9 | 10 | 11 | 12 | 13 | 14 | 15 | |
Index RI | 1.46 | 1.49 | 1.52 | 1.54 | 1.56 | 1.58 | 1.59 |
2 random index of table
Finally, each index is calculated using matrix characteristic vector normalization to the weight judgment matrix by examining
Weighted value.In the case where judgment matrix S meets coherence request, it can use following method and calculate weights of importance coefficient.
Such as the weight coefficient of index j are as follows:
The weight coefficient of k index can be obtained according to the judgement of an expert using above-mentioned steps, due to each expert
There is certain subjectivity to the understanding of these index importances.It therefore, can be in order to eliminate the subjectivity to index importance
Please multiple experts the importance of these indexs is compared, obtain multiple judgment matrixs, and handled in aforementioned manners.By
This is as it can be seen that multiple weight coefficients can be obtained in each index, such as content index j, available weight coefficient is λj1,
λj2,…,λjl.Wherein l is expert's quantity.The weight coefficient of index j in this way are as follows:
As a preferred embodiment, further including establishing people respectively according to Maintenance Support Capability Assessment index system
Member Manpower Estimate model, management ability assessment models, ensures that actual effect assesses mould at physical resources Evaluation in Support Ability model
Type, maintenance ability Integrated Evaluation Model;
Maintenance ability Integrated Evaluation Model is established according to the weight coefficient calculation method of index.
Wherein, according to the related content of Maintenance Support Capability Assessment index and requirement research, manpower human assessment model is such as
Shown in Fig. 5.At this point, assessment models are as follows:
Wherein:
B1It is personnel and manpower ability;
C1~C4Respectively indicate warship person's integration capability, accompanying support personnel integration capability, it is preceding send support personnel's integration capability with
And Iong-distance support support personnel's integration capability;
Indicate proportionality coefficient when being made of personnel and manpower ability warship person's integration capability etc..
The characteristics of being ensured according to Warships Equipment Maintenance, it is believed that warship person's integration capability, accompanying support people in four kinds of personnel abilities
Member's integration capability is more important, although support personnel's integration capability and Iong-distance support support personnel integration capability is sent also to compare before and
It is more important, but the personnel for having corresponding quality can be usually found when needed, therefore consider more to focus on warship person in assessment
And the ability of accompanying support personnel.It is as follows that weight judgment matrix S can be substantially obtained accordingly:
The weight coefficient that all kinds of personnel's integration capabilities can be calculated according to judgment matrix is as shown in the table.
All kinds of personnel's integration capability weight coefficient tables in 3 personnel and manpower of table
Wherein, according to the related content of Maintenance Support Capability Assessment index and requirement research, physical resources supportability is commented
It is as shown in Figure 6 to estimate model.At this point, assessment models are as follows:
Wherein:
B2It is physical resources supportability;
C5~C7Respectively indicate technical data supportability, Maintenance Materials Support Ability, maintenance frock equipment guarantee ability;
Indicate ratio system when being made of substance Status Quo technical data supportability etc.
Number.
The characteristics of being ensured according to Warships Equipment Maintenance, it is believed that technical data supportability, Maintenance Materials Support Ability, maintenance
Tooling device supportability is of equal importance.Its weight coefficient can be calculated accordingly are as follows:
By junior's index computing technique data supportability, Maintenance Materials Support Ability, maintenance frock equipment guarantee ability
Model repeat no more.
Wherein, according to the related content of Maintenance Support Capability Assessment index and requirement research, management ability assesses mould
Type is as shown in Figure 7.At this point, assessment models are as follows:
Wherein:
B3It is management ability;
C8~C10Respectively indicate maintenance organization and strength managerial ability, system formulation and its applicability, system implementation of conditions;
Expression is fallen by maintenance organization and strength managerial ability, system formulation and its applicability, system
Truth condition etc. constitutes proportionality coefficient when management ability.
The characteristics of being ensured according to Warships Equipment Maintenance, it is believed that system formulation and its applicability, system implementation of conditions are heavy on an equal basis
It wants, maintenance organization is slightly important compared with the former with strength managerial ability.It is as follows that weight judgment matrix S can be substantially obtained accordingly:
It is respectively as follows: according to the weight coefficient that all kinds of indexs can be calculated in judgment matrix
λ1=0.6
λ2=λ3=0.2
Maintenance organization and strength managerial ability, system formulation and its applicability, system implementation of conditions are calculated by junior's index
Model repeat no more.
Wherein, according to the related content of Maintenance Support Capability Assessment index and requirement research, actual effect assessment models are ensured such as
Shown in Fig. 8.At this point, assessment models are as follows:
Wherein:
B4It is to ensure actual effect;
C11~C13Respectively indicate carrier-borne aircraft landing ensure actual effect, send before personnel ensure actual effect, equipment before send guarantee actual effect;
It indicates by sending guarantee before sending guarantee actual effect, equipment before carrier-borne aircraft landing guarantee actual effect, personnel
The compositions such as actual effect ensure proportionality coefficient when actual effect.
The characteristics of being ensured according to Warships Equipment Maintenance, it is believed that sent before personnel and send guarantee actual effect same before ensureing actual effect, equipment
Important, carrier-borne aircraft landing ensures that actual effect is slightly important compared with the above two.It is as follows that weight judgment matrix S can be substantially obtained accordingly:
It is respectively as follows: according to the weight coefficient that all kinds of indexs can be calculated in judgment matrix
λ1=0.6
λ2=λ3=0.2
After establishing guarantee actual effect assessment models and providing index weights coefficient, carrier-borne aircraft landing is presented below and ensures in fact
The assignment method for sending before ensureing actual effect, equipment and ensureing the indexs such as actual effect is sent before effect, personnel.
(1) carrier-borne aircraft landing ensures actual effect assignment method
Carrier-borne aircraft landing ensure actual effect characterization be marine task during carrier-borne aircraft landing guarantee actual conditions.Count warship
Since ship is fallen in lines, the main frame times N of carrier-borne aircraft landing is at sea implemented during task11And due to relating to winged equipment Safeguard problem shadow
Ring the number f of carrier-borne aircraft landing11.After being collected into original assessment data, carrier-borne aircraft landing ensures that actual effect is assigned by following expression
Value:
(2) it is sent before personnel and ensures actual effect assignment method
Guarantee actual effect characterization is sent before personnel is the case where sending the time to meet maintenance timeliness requirement before personnel are average.Statistics
Since naval vessel is fallen in lines, time t has been sent before at sea personnel are pre-feed averagely during task12.After being collected into original assessment data, people
It is sent before member and ensures actual effect by following expression assignment:
T0It is to send time requirement before being averaged.It is usually opened in influence sea task execution Shi Caihui due to being sent before personnel, equipment
It is dynamic, because sending timeliness more demanding before this, 12h is taken as in this report.
(3) it is sent before equipment and ensures actual effect assignment method
Guarantee actual effect characterization is sent before equipment is the case where sending the time to meet maintenance timeliness requirement before equipment is average.Statistics
Since HM falls in lines, time t has been sent before at sea equipment is pre-feed averagely during task13.After being collected into original assessment data, personnel
Before send ensure actual effect by following expression assignment:
Finally, in the personnel of establishing and manpower, physical resources supportability, management ability and the assessment for ensureing actual effect
On the basis of model, according to Maintenance Support Capability Assessment index and the related content studied is required, maintenance support energy can be constructed
Power Integrated Evaluation Model, model are as shown in Figure 9.At this point, assessment models are as follows:
Wherein:
A is maintenance ability;
B1~B4Respectively indicate personnel and manpower, physical resources supportability, management ability and guarantee actual effect;
λA(i) ratio system when being made of maintenance ability physical resources supportability, management ability etc. is indicated
Number.
According to Warships Equipment Maintenance support character, it is believed that four kinds of abilities are of equal importance, then all kinds of fingers can be calculated
Target weight coefficient is respectively as follows:
λA(1)=λA(2)=λA(3)=λA(4)=0.25
Embodiment two:
It is corresponding with the various embodiments of Warships Equipment Maintenance Evaluation in Support Ability method of embodiment one, the present invention
A kind of Warships Equipment Maintenance Evaluation in Support Ability system is provided, the Warships Equipment Maintenance Evaluation in Support Ability system includes as follows
Module:
Object determining module is assessed, for determining assessment object;
Evaluation index system establishes module, for establishing the finger of assessment according to Warships Equipment Maintenance supportability influence factor
Mark system determines assessment object, evaluation index and requirement;
Assessment models establish module, for passing through index assignment method, weighing computation method or index comprehensive method structure
Build Warships Equipment Maintenance Evaluation in Support Ability model.
The object that the present invention should clearly assess the assessment of supportability first, followed by supportability influence factor
The index system that assessment is established on the basis of analysis specifies index request and relevant standard;It is finally to be assigned by providing index
Value method, weighing computation method and index comprehensive method etc. construct Evaluation in Support Ability model.Wherein, supportability index
System is usually on the basis of analyzing major influence factors, it then follows certain principle is established according to certain method.
As it can be seen that Warships Equipment Maintenance Evaluation in Support Ability method and system of the invention is analysing in depth maintenance support demand
On the basis of, have extensively studied Warships Equipment Maintenance Evaluation in Support Ability method.Firstly, describing index system foundation, index
The basic theory of the Evaluation in Support Ability such as assignment, index weights assignment and model synthesis;Secondly, analyzing maintenance ability
Analysis of Influential Factors establishes maintenance support evaluation index system, specifies assessment object, evaluation index and requirement;Again, it provides
Manpower and personnel, physical resources supportabilitys, management ability and the assessment models for ensureing actual effect, and on this basis
Give Maintenance Support Capability Assessment model;Finally specify the method and step and all kinds of that Maintenance Support Capability Assessment is implemented
The method and requirement of index source data collection.Scientific and reasonable, objective and fair knot is provided to Warships Equipment Maintenance supportability
By discovery influences the weak link that maintenance support is effectively implemented in time, provides foundation to constantly improve maintenance support mechanism.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of Warships Equipment Maintenance Evaluation in Support Ability method characterized by comprising
S1 determines assessment object;
S2 establishes the index system of assessment according to Warships Equipment Maintenance supportability influence factor, determines that assessment object, assessment refer to
Mark and requirement;
S3 constructs Warships Equipment Maintenance supportability by index assignment method, weighing computation method or index comprehensive method
Assessment models.
2. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 1, which is characterized in that the Ship Equipment
Maintenance ability influence factor includes:
People, object, organization and administration and guarantee actual implementation.
3. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 1, which is characterized in that the foundation assessment
Index system include:
The index system of assessment is established according to the establishment principle of index system and the method for building up of index system.
4. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 3, it is characterised in that:
The establishment principle of the index system include: scientific principle, the principle of systenatization, Perfect principle, alternative principle and
Feasibility principle;
The method for building up of the index system includes: Delphi consultation methods, analytic hierarchy process (AHP) and ADC method.
5. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 1, which is characterized in that the step S3
In, Warships Equipment Maintenance Evaluation in Support Ability model is constructed by index assignment method, is specifically included:
By have access to inquiry, understandings of having an informal discussion, questionnaire survey, now check, verification of sample, theory are examined, skill examination or reality
Soldier's manoeuvre come obtain index qualitative evaluation or be quantitatively evaluated result;
To the index qualitative evaluation or result is quantitatively evaluated using two-stage system, level Four system, hundred-mark system, income class or cost class
Method carries out assignment to index.
6. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 1, which is characterized in that the step S3
In, Warships Equipment Maintenance Evaluation in Support Ability model is constructed by weighing computation method, is specifically included:
Warships Equipment Maintenance Evaluation in Support Ability model is constructed by subjective weighting method, objective weighted model or Evaluation formula.
7. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 6, it is characterised in that:
The subjective weighting method includes: analytic hierarchy process (AHP), analytic network process, AHP-GEM integration algorithm, is based on assigning power formula
Method, the target weight method based on variable weight principle;
The objective weighted model includes: the phase of the information Entropy Method for calculating information content weight, maximizing deviation method, independence weight
Close Discriminant by Matrix;
The Evaluation formula includes: the Evaluation formula based on the principle of least square and the group based on the logarithm principle of least square
Close enabling legislation.
8. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 1 or 6, which is characterized in that the weight
Calculation method specifically includes:
Using analytic hierarchy process (AHP), same first class index is compared by expert two-by-two, constructs weight judgment matrix;
Consistency check is carried out to the weight judgment matrix;
Weight judgment matrix by examining is calculated using matrix characteristic vector normalization the weighted value of each index.
9. Warships Equipment Maintenance Evaluation in Support Ability method according to claim 1, it is characterised in that:
Personnel and manpower assessment models, physical resources Evaluation in Support Ability are established respectively according to Maintenance Support Capability Assessment index system
Model, ensures actual effect assessment models, maintenance ability Integrated Evaluation Model at management ability assessment models;
Maintenance ability Integrated Evaluation Model is established according to the weight coefficient calculation method of index.
10. a kind of Warships Equipment Maintenance Evaluation in Support Ability system, which is characterized in that the Warships Equipment Maintenance supportability is commented
Estimating system includes following module:
Object determining module is assessed, for determining assessment object;
Evaluation index system establishes module, for establishing the index body of assessment according to Warships Equipment Maintenance supportability influence factor
System determines assessment object, evaluation index and requirement;
Assessment models establish module, for constructing warship by index assignment method, weighing computation method or index comprehensive method
Ship Maintenance for Equipment capability assessment model.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910430148.1A CN110119904A (en) | 2019-05-22 | 2019-05-22 | A kind of Warships Equipment Maintenance Evaluation in Support Ability method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910430148.1A CN110119904A (en) | 2019-05-22 | 2019-05-22 | A kind of Warships Equipment Maintenance Evaluation in Support Ability method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110119904A true CN110119904A (en) | 2019-08-13 |
Family
ID=67523087
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910430148.1A Pending CN110119904A (en) | 2019-05-22 | 2019-05-22 | A kind of Warships Equipment Maintenance Evaluation in Support Ability method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110119904A (en) |
Cited By (29)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110717691A (en) * | 2019-10-23 | 2020-01-21 | 上海机电工程研究所 | Assembly method and system of evaluation model based on components |
CN111027862A (en) * | 2019-12-11 | 2020-04-17 | 中国舰船研究设计中心 | Multidimensional-based hierarchical aggregation combat simulation training evaluation method |
CN111126801A (en) * | 2019-12-10 | 2020-05-08 | 北京京航计算通讯研究所 | Hierarchical analysis and evaluation system based on information entropy for equipment guarantee capability |
CN111144714A (en) * | 2019-12-10 | 2020-05-12 | 北京京航计算通讯研究所 | Information entropy-based hierarchical analysis and evaluation method for equipment guarantee capability |
CN111191879A (en) * | 2019-12-11 | 2020-05-22 | 中电普信(北京)科技发展有限公司 | Comprehensive evaluation method and system |
CN111553581A (en) * | 2020-04-24 | 2020-08-18 | 中国人民解放军战略支援部队航天工程大学 | Equipment maintainability evaluation model based on entropy value |
CN111565121A (en) * | 2020-04-28 | 2020-08-21 | 中国联合网络通信集团有限公司 | Method and device for evaluating IT (information technology) support degree by personnel and technology |
CN111599130A (en) * | 2020-04-28 | 2020-08-28 | 国家***南海预报中心(国家***广州海洋预报台) | Environmental risk early warning system for marine rescue |
CN112053026A (en) * | 2020-07-15 | 2020-12-08 | 中国人民解放军海军工程大学 | Ship maintenance resource configuration verification method and device |
CN112163282A (en) * | 2020-10-30 | 2021-01-01 | 智慧航海(青岛)科技有限公司 | Comprehensive performance evaluation method for intelligent ship |
CN112163738A (en) * | 2020-09-07 | 2021-01-01 | 中国人民解放军海军工程大学 | Service-oriented ship remote guarantee resource allocation method |
CN112766715A (en) * | 2021-01-15 | 2021-05-07 | 北京瑞风协同科技股份有限公司 | Method and system for simulating and evaluating equipment capacity |
CN112766775A (en) * | 2021-01-27 | 2021-05-07 | 中国人民解放军海军工程大学 | Method for evaluating contribution rate of microwave weapon in anti-aircraft back-guidance system of naval vessel |
CN112990501A (en) * | 2021-04-07 | 2021-06-18 | 中国人民武装警察部队工程大学 | Delphi-FCE-based general vehicle equipment maintenance guarantee capability assessment method |
CN113052431A (en) * | 2021-02-19 | 2021-06-29 | 中国人民解放军战略支援部队航天工程大学 | Effectiveness evaluation method of aerospace test and launch system based on ADCP model |
CN113222399A (en) * | 2021-05-08 | 2021-08-06 | 中国人民解放军陆军工程大学 | Engineering equipment operation guarantee comprehensive efficiency evaluation method |
CN113344344A (en) * | 2021-05-20 | 2021-09-03 | 中国人民解放***箭军工程大学 | BP neural network-based equipment maintenance training quality evaluation method |
CN113393176A (en) * | 2021-08-17 | 2021-09-14 | 北京航空航天大学 | Maintenance decision method based on product factual state |
CN113567785A (en) * | 2021-07-24 | 2021-10-29 | 福州大学 | Intelligent electromagnetic appliance performance evaluation method and system |
CN113591326A (en) * | 2021-08-17 | 2021-11-02 | 中国人民解放军陆军工程大学 | Information guarantee scheme simulation evaluation method and system based on system dynamics |
CN113627747A (en) * | 2021-07-21 | 2021-11-09 | 中国人民解放军海军工程大学 | Assessment and evaluation method and system for virtual maintenance training process |
CN113673762A (en) * | 2021-08-19 | 2021-11-19 | 中国电子科技集团公司信息科学研究院 | TOPSIS-based combined combat material demand prediction method and device and storage medium |
CN113689067A (en) * | 2021-07-08 | 2021-11-23 | 华中科技大学 | Image guarantee information evaluation system |
CN114358650A (en) * | 2022-01-17 | 2022-04-15 | 中国民用航空飞行学院 | Civil aviation safety supervision efficiency evaluation method |
CN115545571A (en) * | 2022-11-29 | 2022-12-30 | 北京太极信息***技术有限公司 | Test training evaluation system and method |
CN116361925A (en) * | 2023-05-31 | 2023-06-30 | 西北工业大学 | Multi-scheme assessment method and system for ship transmission configuration |
CN116629715A (en) * | 2023-07-25 | 2023-08-22 | 中国船舶集团有限公司第七〇七研究所 | Simulation training comprehensive evaluation method and system based on-the-fly event and emergency event |
CN116993228A (en) * | 2023-09-25 | 2023-11-03 | 中国电子科技集团公司第十五研究所 | Evaluation method, evaluation device and storage medium for equipment maintenance mechanism maintenance capability |
CN117726316A (en) * | 2023-11-29 | 2024-03-19 | 中航通飞华南飞机工业有限公司 | Method for evaluating maintenance effect of amphibious aircraft |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105930645A (en) * | 2016-04-18 | 2016-09-07 | 中国人民解放军重庆通信学院 | Communication station equipment maintenance support capability assessment method based on principal component analysis |
CN108053036A (en) * | 2017-10-17 | 2018-05-18 | 中国人民解放军海军工程大学 | A kind of Large Complex Equipment Maintenance Support Capability Assessment method |
-
2019
- 2019-05-22 CN CN201910430148.1A patent/CN110119904A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105930645A (en) * | 2016-04-18 | 2016-09-07 | 中国人民解放军重庆通信学院 | Communication station equipment maintenance support capability assessment method based on principal component analysis |
CN108053036A (en) * | 2017-10-17 | 2018-05-18 | 中国人民解放军海军工程大学 | A kind of Large Complex Equipment Maintenance Support Capability Assessment method |
Non-Patent Citations (2)
Title |
---|
施建军主编: "《统计学教程》", 南京:南京大学出版社, pages: 299 - 302 * |
舒正平等: "装备维修保障效能评估指标权重组合赋权法的研究", 《兵工自动化》, no. 12, 15 December 2010 (2010-12-15), pages 9 - 11 * |
Cited By (40)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110717691B (en) * | 2019-10-23 | 2023-11-28 | 上海机电工程研究所 | Assembly method and system for evaluation model based on components |
CN110717691A (en) * | 2019-10-23 | 2020-01-21 | 上海机电工程研究所 | Assembly method and system of evaluation model based on components |
CN111126801A (en) * | 2019-12-10 | 2020-05-08 | 北京京航计算通讯研究所 | Hierarchical analysis and evaluation system based on information entropy for equipment guarantee capability |
CN111144714A (en) * | 2019-12-10 | 2020-05-12 | 北京京航计算通讯研究所 | Information entropy-based hierarchical analysis and evaluation method for equipment guarantee capability |
CN111027862A (en) * | 2019-12-11 | 2020-04-17 | 中国舰船研究设计中心 | Multidimensional-based hierarchical aggregation combat simulation training evaluation method |
CN111191879A (en) * | 2019-12-11 | 2020-05-22 | 中电普信(北京)科技发展有限公司 | Comprehensive evaluation method and system |
CN111191879B (en) * | 2019-12-11 | 2023-05-12 | 中电普信(北京)科技发展有限公司 | Comprehensive evaluation method and system |
CN111553581A (en) * | 2020-04-24 | 2020-08-18 | 中国人民解放军战略支援部队航天工程大学 | Equipment maintainability evaluation model based on entropy value |
CN111565121A (en) * | 2020-04-28 | 2020-08-21 | 中国联合网络通信集团有限公司 | Method and device for evaluating IT (information technology) support degree by personnel and technology |
CN111599130A (en) * | 2020-04-28 | 2020-08-28 | 国家***南海预报中心(国家***广州海洋预报台) | Environmental risk early warning system for marine rescue |
CN112053026A (en) * | 2020-07-15 | 2020-12-08 | 中国人民解放军海军工程大学 | Ship maintenance resource configuration verification method and device |
CN112163738A (en) * | 2020-09-07 | 2021-01-01 | 中国人民解放军海军工程大学 | Service-oriented ship remote guarantee resource allocation method |
CN112163738B (en) * | 2020-09-07 | 2022-10-14 | 中国人民解放军海军工程大学 | Service-oriented ship remote guarantee resource allocation method |
CN112163282A (en) * | 2020-10-30 | 2021-01-01 | 智慧航海(青岛)科技有限公司 | Comprehensive performance evaluation method for intelligent ship |
CN112766715A (en) * | 2021-01-15 | 2021-05-07 | 北京瑞风协同科技股份有限公司 | Method and system for simulating and evaluating equipment capacity |
CN112766775A (en) * | 2021-01-27 | 2021-05-07 | 中国人民解放军海军工程大学 | Method for evaluating contribution rate of microwave weapon in anti-aircraft back-guidance system of naval vessel |
CN112766775B (en) * | 2021-01-27 | 2022-05-03 | 中国人民解放军海军工程大学 | Method for evaluating contribution rate of microwave weapon in anti-aircraft back-guidance system of naval vessel |
CN113052431A (en) * | 2021-02-19 | 2021-06-29 | 中国人民解放军战略支援部队航天工程大学 | Effectiveness evaluation method of aerospace test and launch system based on ADCP model |
CN113052431B (en) * | 2021-02-19 | 2022-08-12 | 中国人民解放军战略支援部队航天工程大学 | Effectiveness evaluation method of aerospace test and launch system based on ADCP model |
CN112990501A (en) * | 2021-04-07 | 2021-06-18 | 中国人民武装警察部队工程大学 | Delphi-FCE-based general vehicle equipment maintenance guarantee capability assessment method |
CN113222399B (en) * | 2021-05-08 | 2024-04-23 | 中国人民解放军陆军工程大学 | Comprehensive performance evaluation method for engineering equipment operation guarantee |
CN113222399A (en) * | 2021-05-08 | 2021-08-06 | 中国人民解放军陆军工程大学 | Engineering equipment operation guarantee comprehensive efficiency evaluation method |
CN113344344A (en) * | 2021-05-20 | 2021-09-03 | 中国人民解放***箭军工程大学 | BP neural network-based equipment maintenance training quality evaluation method |
CN113689067B (en) * | 2021-07-08 | 2023-10-13 | 华中科技大学 | Image guarantee information evaluation system |
CN113689067A (en) * | 2021-07-08 | 2021-11-23 | 华中科技大学 | Image guarantee information evaluation system |
CN113627747A (en) * | 2021-07-21 | 2021-11-09 | 中国人民解放军海军工程大学 | Assessment and evaluation method and system for virtual maintenance training process |
CN113567785A (en) * | 2021-07-24 | 2021-10-29 | 福州大学 | Intelligent electromagnetic appliance performance evaluation method and system |
CN113591326A (en) * | 2021-08-17 | 2021-11-02 | 中国人民解放军陆军工程大学 | Information guarantee scheme simulation evaluation method and system based on system dynamics |
CN113393176B (en) * | 2021-08-17 | 2021-12-21 | 北京航空航天大学 | Maintenance decision method based on product factual state |
CN113393176A (en) * | 2021-08-17 | 2021-09-14 | 北京航空航天大学 | Maintenance decision method based on product factual state |
CN113673762B (en) * | 2021-08-19 | 2023-09-19 | 中国电子科技集团公司信息科学研究院 | TOPSIS-based combined combat material demand prediction method, device and storage medium |
CN113673762A (en) * | 2021-08-19 | 2021-11-19 | 中国电子科技集团公司信息科学研究院 | TOPSIS-based combined combat material demand prediction method and device and storage medium |
CN114358650A (en) * | 2022-01-17 | 2022-04-15 | 中国民用航空飞行学院 | Civil aviation safety supervision efficiency evaluation method |
CN115545571A (en) * | 2022-11-29 | 2022-12-30 | 北京太极信息***技术有限公司 | Test training evaluation system and method |
CN116361925A (en) * | 2023-05-31 | 2023-06-30 | 西北工业大学 | Multi-scheme assessment method and system for ship transmission configuration |
CN116361925B (en) * | 2023-05-31 | 2023-11-03 | 西北工业大学 | Multi-scheme assessment method and system for ship transmission configuration |
CN116629715A (en) * | 2023-07-25 | 2023-08-22 | 中国船舶集团有限公司第七〇七研究所 | Simulation training comprehensive evaluation method and system based on-the-fly event and emergency event |
CN116629715B (en) * | 2023-07-25 | 2023-10-13 | 中国船舶集团有限公司第七〇七研究所 | Simulation training comprehensive evaluation method and system based on-the-fly event and emergency event |
CN116993228A (en) * | 2023-09-25 | 2023-11-03 | 中国电子科技集团公司第十五研究所 | Evaluation method, evaluation device and storage medium for equipment maintenance mechanism maintenance capability |
CN117726316A (en) * | 2023-11-29 | 2024-03-19 | 中航通飞华南飞机工业有限公司 | Method for evaluating maintenance effect of amphibious aircraft |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110119904A (en) | A kind of Warships Equipment Maintenance Evaluation in Support Ability method and system | |
Zhang et al. | Multigranulation rough set model in hesitant fuzzy information systems and its application in person-job fit | |
CN109146158A (en) | A kind of Alpine Meadow ecosystem health analysis method, computer | |
CN107454105A (en) | A kind of multidimensional network safety evaluation method based on AHP and grey correlation | |
CN105512465B (en) | Based on the cloud platform safety quantitative estimation method for improving VIKOR methods | |
Haddad et al. | Selecting a robust decision making method to evaluate employee performance | |
CN110135741A (en) | Hot drill evaluating system and method based on carrier-borne aircraft fire | |
CN108537436A (en) | Securities business Performance Evaluation Methods, system, equipment, storage medium | |
Bao et al. | Competitive advantage assessment for container shipping liners using a novel hybrid method with intuitionistic fuzzy linguistic variables | |
Şahin et al. | A novel group decision-making method based on linguistic neutrosophic maclaurin symmetric mean (Revision IV) | |
CN113094971A (en) | Modeling simulation as a service credibility evaluation method and system based on entropy weight-grey level analysis | |
Cook et al. | The empirical grounding of a framework for the risk assessment of violent extremism and other forms of group-based violence. | |
CN111523080A (en) | PAS system comprehensive evaluation method of power system and related device | |
Ruan et al. | Fermatean fuzzy power Bonferroni aggregation operators and their applications to multi-attribute decision-making | |
CN113408137B (en) | System combat effectiveness analysis method based on task completion degree and loss ratio | |
Gardašević-Filipović et al. | Multicriteria optimization in a fuzzy environment: the fuzzy analytic hierarchy process | |
CN115907532A (en) | Vehicle repair enterprise layout analysis and evaluation method and system | |
Li et al. | Research on comprehensive evaluation of data source quality in big data environment | |
CN113610383A (en) | Method and system for evaluating quality and sharing effect of atmospheric combined pollution observation data | |
Zhao et al. | SE-DEA-SVM evaluation method of ECM operational disposition scheme | |
Zheng et al. | Network security situation evaluation strategy based on cloud gravity center judgment | |
Wang et al. | Quality evaluation of equipment support commander based on RBF neural network | |
Ren et al. | An optimised method of weighting combination in multi-index comprehensive evaluation | |
Xu et al. | A hybrid method for evaluating the effectiveness of giant systems with indicator correlations: an application for naval formation decision making in multiple scenarios | |
Han et al. | Evaluation of joint information environment service capability of space-based network information system based on ANP-fuzzy comprehensive evaluation method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190813 |
|
RJ01 | Rejection of invention patent application after publication |