CN107944760B - Enterprise bid competitiveness analysis method and system - Google Patents
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Abstract
The invention discloses an enterprise bid competitiveness analysis method and system, wherein the method comprises the steps of obtaining bid inviting files corresponding to different projects of an enterprise; extracting a business scoring table of the bidding document; obtaining a plurality of indexes, scores corresponding to the plurality of indexes and index definitions by identifying and explaining the plurality of indexes on the business evaluation table; calculating the certainty of the multiple indexes of the enterprise according to the multiple indexes, the values corresponding to the multiple indexes and the index definitions, and storing the certainty in a preset enterprise qualification library; and calculating the competitive power scores of the plurality of enterprises corresponding to the newly added bid items according to the indexes of the newly added bid items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library so as to obtain the enterprise competitive power analysis result. By the method, the certainty of the index can be accurately calculated, and the accuracy of enterprise competitiveness evaluation is improved.
Description
Technical Field
The invention relates to the field of data analysis and processing, in particular to an enterprise bidding competitiveness analysis method and system.
Background
At present, in the field of software bidding and purchasing, no method specially aiming at the bidding strength analysis of software enterprises exists. For enterprises, most of the enterprises are currently involved in bidding activities blindly, or the enterprises collect data of potential competitors everywhere for rough evaluation, so that the accuracy is poor, and the time and the labor are consumed. For the bidding organization, the situation that the parameter setting of the terms of the bidding document is too harsh to avoid the doubt caused by the condition meeting requirements of less than three enterprises is avoided, and the situation that the parameter setting of the bidding document is too loose to increase the unnecessary work of the bidding organization is also avoided. In order to solve the problems of existing enterprise bidding, a power generation enterprise competitiveness evaluation method based on combined weighting and TOPSIS improvement is disclosed in the patent (CN 105956768A). The method comprises the steps of constructing a power generation enterprise competitiveness evaluation system, carrying out dimensionless standardization processing on evaluation indexes, determining index weight through combined weighting of subjective weight and objective weight, calculating a weighting matrix, translating an origin of coordinates to an ideal solution point, then determining a translated negative ideal solution, calculating the vertical distance between each evaluation scheme and the ideal solution, and finally sequencing the evaluation schemes according to the obtained vertical distance, wherein the smaller the evaluation scheme is, the stronger the corresponding power generation enterprise competitiveness is. However, the method for determining the index weight by only weighting the combination of the subjective weight and the objective weight cannot accurately reflect the influence of the index on different items, and reduces the accuracy of enterprise competitiveness evaluation.
Disclosure of Invention
The invention aims to provide an enterprise bidding competitiveness analysis method and system, which can accurately calculate the certainty of indexes and improve the accuracy of enterprise competitiveness evaluation.
In order to solve the above technical problems, an embodiment of the present invention provides an enterprise bid competitiveness analysis method, including:
acquiring bidding documents corresponding to different projects of an enterprise from a web site;
extracting a business scoring table of the bidding document;
identifying multiple indexes on the business evaluation table, and obtaining the multiple indexes and scores corresponding to the multiple indexes;
interpreting a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes;
calculating the certainty degree of the multiple indexes of the enterprise and storing the certainty degree in a preset enterprise qualification library according to the multiple indexes corresponding to different projects of the enterprise, the values corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes;
calculating the competitive power scores of the plurality of enterprises corresponding to the newly added bid items according to the indexes of the newly added bid items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library;
and sequencing the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises.
Preferably, the identifying multiple indexes on the business evaluation table to obtain the multiple indexes and scores corresponding to the multiple indexes specifically includes:
identifying index word segmentation on the business evaluation table;
filtering ambiguous segmentations in the index segmentations;
and splitting the index participles after filtering the ambiguous participles to obtain the multiple indexes and the scores corresponding to the multiple indexes.
Preferably, the interpreting a plurality of indexes on the business evaluation table to obtain the index definitions corresponding to the plurality of indexes includes:
extracting index definitions corresponding to multiple indexes in the bidding document;
and associating the plurality of indexes with the index definitions corresponding to the plurality of indexes.
Preferably, the calculating the degree of certainty of the multiple indexes of the enterprise and storing the degree of certainty in a preset enterprise qualification library according to the multiple indexes corresponding to different projects of the enterprise, the scores corresponding to the multiple indexes, and the index definitions corresponding to the multiple indexes specifically includes:
generating a grading index table corresponding to different projects according to the multiple indexes corresponding to different projects of the enterprise, the values corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes;
acquiring the qualification and performance index of the enterprise from an official web site or other public channel of the enterprise;
and comparing and analyzing the scoring index tables corresponding to different projects, the qualification and the performance index of the enterprise, and calculating the certainty of the multiple indexes of the enterprise.
Preferably, the index includes an upper index and a lower index; and the preset enterprise qualification library stores the superior indexes and the subordinate indexes in a hierarchical directory mode.
The embodiment of the invention also provides an enterprise bid competitiveness analysis system, which comprises:
the system comprises an information acquisition module, a bidding document acquisition module and a bidding document acquisition module, wherein the information acquisition module is used for acquiring bidding documents corresponding to different projects of an enterprise from a web website;
the information extraction module is used for extracting a business scoring table of the bidding document;
the index identification module is used for identifying a plurality of indexes on the business evaluation table and obtaining the plurality of indexes and scores corresponding to the plurality of indexes;
the index analysis module is used for explaining a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes;
the certainty factor calculation module is used for calculating the certainty factor of the multiple indexes of the enterprise according to the multiple indexes corresponding to different projects of the enterprise, the scores corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes and storing the certainty factor of the multiple indexes of the enterprise in a preset enterprise qualification library;
the competitiveness calculation module is used for calculating the competitiveness scores of the plurality of enterprises corresponding to the newly added bidding items according to the indexes of the newly added bidding items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library;
and the ranking module is used for ranking the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises.
Preferably, the index identification module includes:
the word segmentation identification module is used for identifying index word segmentation on the business evaluation table;
the segmentation filtering module is used for filtering ambiguous segmentations in the index segmentations;
and the word segmentation splitting module is used for splitting the index word segmentation after the ambiguous word segmentation is filtered, and obtaining the multiple indexes and the scores corresponding to the multiple indexes.
Preferably, the index analyzing module includes:
the index definition extraction module is used for extracting index definitions corresponding to a plurality of indexes in the bidding document;
and the index definition association module is used for associating the indexes with the index definitions corresponding to the indexes.
Preferably, the certainty calculation module includes:
the scoring index table generating module is used for generating scoring index tables corresponding to different projects according to the multiple indexes corresponding to different projects of the enterprise, the scores corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes;
the qualification acquisition module is used for acquiring the qualification and the performance index of the enterprise from an official web site or other public channels of the enterprise;
and the index certainty degree calculation module is used for comparing and analyzing the scoring index tables corresponding to different projects, the qualification and the performance indexes of the enterprise and calculating the certainty degrees of the multiple indexes of the enterprise.
Preferably, the index includes an upper index and a lower index; and the preset enterprise qualification library stores the superior indexes and the subordinate indexes in a hierarchical directory mode.
Compared with the prior art, the enterprise bid competitiveness analysis method provided by the embodiment of the invention has the beneficial effects that: the enterprise bid competitiveness analysis method comprises the following steps: acquiring bidding documents corresponding to different projects of an enterprise from a web site; extracting a business scoring table of the bidding document; identifying multiple indexes on the business evaluation table, and obtaining the multiple indexes and scores corresponding to the multiple indexes; interpreting a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes; calculating the certainty degree of the multiple indexes of the enterprise and storing the certainty degree in a preset enterprise qualification library according to the multiple indexes corresponding to different projects of the enterprise, the values corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes; calculating the competitive power scores of the plurality of enterprises corresponding to the newly added bid items according to the indexes of the newly added bid items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library; and sequencing the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises. By the method, the certainty of the index can be accurately calculated, and the accuracy of enterprise competitiveness evaluation is improved. The embodiment of the invention also provides an enterprise bid competitiveness analysis system.
Drawings
FIG. 1 is a flow chart of a method for analyzing enterprise bid competitiveness according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an enterprise bid competitiveness analysis system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the identification module of FIG. 2;
FIG. 4 is a schematic diagram of the index resolution module of FIG. 2;
fig. 5 is a schematic diagram of the certainty calculation module of fig. 2.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, which is a flowchart illustrating an enterprise bid competition analyzing method according to an embodiment of the present invention, the enterprise bid competition analyzing method includes:
s1: acquiring bidding documents corresponding to different projects of an enterprise from a web site;
s2: extracting a business scoring table of the bidding document;
s3: identifying multiple indexes on the business evaluation table, and obtaining the multiple indexes and scores corresponding to the multiple indexes;
s4: interpreting a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes;
s5: calculating the certainty degree of the multiple indexes of the enterprise and storing the certainty degree in a preset enterprise qualification library according to the multiple indexes corresponding to different projects of the enterprise, the values corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes;
s6: calculating the competitive power scores of the plurality of enterprises corresponding to the newly added bid items according to the indexes of the newly added bid items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library;
s7: and sequencing the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises.
In the embodiment, all items which are bid by enterprises are divided into the scores in the final bid result disclosure and the indexes decomposed in the bid document, and the qualification and performance index data acquired by the enterprise official network, and the like, and analyzes common or similar indexes of the enterprise in different projects, and then carries out project score calculation through the score of each index, reversely deduces and calculates the accuracy of a plurality of indexes of the enterprise, by the method, some non-public index information of the enterprise can be reasonably calculated on the premise that the qualification information of the enterprise is not transparent, the method has the advantages that a relatively comprehensive enterprise qualification library is established to store the certainty factor of a plurality of indexes corresponding to a plurality of enterprises, a data basis is provided for the evaluation of a subsequent new bid inviting project, the winning enterprises with high potential possibility can be predicted in advance, meanwhile, the certainty factor of the indexes can be accurately calculated, and the accuracy of the evaluation of the enterprise competitiveness is improved.
In an alternative embodiment, S3: identifying multiple indexes on the business evaluation table, and obtaining the multiple indexes and scores corresponding to the multiple indexes, specifically comprising:
identifying index word segmentation on the business evaluation table;
filtering ambiguous segmentations in the index segmentations;
and splitting the index participles after filtering the ambiguous participles to obtain the multiple indexes and the scores corresponding to the multiple indexes.
In an alternative embodiment, S4: interpreting a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes, which specifically comprises the following steps:
extracting index definitions corresponding to multiple indexes in the bidding document;
and associating the plurality of indexes with the index definitions corresponding to the plurality of indexes.
In an alternative embodiment, S5: calculating the certainty factor of the multiple indexes of the enterprise and storing the certainty factor in a preset enterprise qualification library according to the multiple indexes corresponding to different projects of the enterprise, the scores corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes, specifically comprising:
generating a grading index table corresponding to different projects according to the multiple indexes corresponding to different projects of the enterprise, the values corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes;
acquiring the qualification and performance index of the enterprise from an official web site or other public channel of the enterprise;
and comparing and analyzing the scoring index tables corresponding to different projects, the qualification and the performance index of the enterprise, and calculating the certainty of the multiple indexes of the enterprise.
In the implementation, the project scores of different projects are calculated according to the scores of multiple indexes corresponding to different projects of the enterprise, then the project scores of the different projects and the common or similar indexes of the different projects are contrastively analyzed, and the accuracy of the multiple indexes is reversely deduced and calculated.
In an alternative embodiment, the index includes an upper index and a lower index; and the preset enterprise qualification library stores the superior indexes and the subordinate indexes in a hierarchical directory mode.
In the present embodiment, the degree of determination of the upper level index may be calculated according to the degrees of determination of the lower level indexes, for example, the upper level index a has two lower level indexes a1 and a2, and when the degree of determination of any one of the lower level indexes a1 or a2 is 100%, the degree of determination of the upper level index a is determined to be 100%; the upper index B has a lower index B, and when the degree of determination of the lower index B is 90%, the determination of the upper index B is 90%.
Referring to fig. 2 to 5, an embodiment of the invention provides an enterprise bid competitiveness analysis system, including:
the system comprises an information acquisition module 1, a bidding document acquisition module and a bidding document management module, wherein the information acquisition module is used for acquiring bidding documents corresponding to different projects of an enterprise from a web website;
the information extraction module 2 is used for extracting a business scoring table of the bidding document;
the index identification module 3 is used for identifying multiple indexes on the business evaluation table and obtaining the multiple indexes and scores corresponding to the multiple indexes;
the index analysis module 4 is used for explaining a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes;
the certainty factor calculation module 5 is configured to calculate certainty factors of multiple indicators of the enterprise according to the multiple indicators corresponding to different projects of the enterprise, scores corresponding to the multiple indicators, and indicator definitions corresponding to the multiple indicators, and store the certainty factors in a preset enterprise qualification library;
the competitiveness calculation module 6 is used for calculating the competitiveness scores of the plurality of enterprises corresponding to the newly added bidding items according to the indexes of the newly added bidding items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library;
and the ranking module 7 is used for ranking the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises.
In the embodiment, all items which are bid by enterprises are divided into the scores in the final bid result disclosure and the indexes decomposed in the bid document, and the qualification and performance index data acquired by the enterprise official network, and the like, and analyzes common or similar indexes of the enterprise in different projects, and then carries out project score calculation through the score of each index, reversely deduces and calculates the accuracy of a plurality of indexes of the enterprise, by the method, some non-public index information of the enterprise can be reasonably calculated on the premise that the qualification information of the enterprise is not transparent, the method has the advantages that a relatively comprehensive enterprise qualification library is established to store the certainty factor of a plurality of indexes corresponding to a plurality of enterprises, a data basis is provided for the evaluation of a subsequent new bid inviting project, the winning enterprises with high potential possibility can be predicted in advance, meanwhile, the certainty factor of the indexes can be accurately calculated, and the accuracy of the evaluation of the enterprise competitiveness is improved.
In an alternative embodiment, the index identification module 3 includes:
a word segmentation recognition module 31, configured to recognize index word segmentation on the business evaluation table;
a segmentation filtering module 32, configured to filter ambiguous segmentations in the index segmentations;
and a segmentation splitting module 33, configured to split the index segmentation after the ambiguous segmentation is filtered, so as to obtain the multiple indexes and scores corresponding to the multiple indexes.
In an optional embodiment, the index analyzing module 4 includes:
an index definition extracting module 41, configured to extract index definitions corresponding to multiple indexes in the bidding document;
and an index definition association module 42, configured to associate the multiple indexes with the index definitions corresponding to the multiple indexes.
In an alternative embodiment, the certainty calculation module 5 comprises:
a scoring index table generating module 51, configured to generate scoring index tables corresponding to different projects of the enterprise according to the multiple indexes corresponding to different projects of the enterprise, scores corresponding to the multiple indexes, and index definitions corresponding to the multiple indexes;
the qualification acquisition module 52 is used for acquiring the qualification and the performance index of the enterprise from an official web site or other public channels of the enterprise;
and the index certainty degree calculation module 53 is configured to compare and analyze the scoring index tables corresponding to different projects, the qualification and the performance index of the enterprise, and calculate the certainty degrees of multiple indexes of the enterprise.
In the implementation, the project scores of different projects are calculated according to the scores of multiple indexes corresponding to different projects of the enterprise, then the project scores of the different projects and the common or similar indexes of the different projects are contrastively analyzed, and the accuracy of the multiple indexes is reversely deduced and calculated.
In an alternative embodiment, the index includes an upper index and a lower index; and the preset enterprise qualification library stores the superior indexes and the subordinate indexes in a hierarchical directory mode.
In the present embodiment, the degree of determination of the upper level index may be calculated according to the degrees of determination of the lower level indexes, for example, the upper level index a has two lower level indexes a1 and a2, and when the degree of determination of any one of the lower level indexes a1 or a2 is 100%, the degree of determination of the upper level index a is determined to be 100%; the upper index B has a lower index B, and when the degree of determination of the lower index B is 90%, the determination of the upper index B is 90%.
Compared with the prior art, the enterprise bid competitiveness analysis method provided by the embodiment of the invention has the beneficial effects that: the enterprise bid competitiveness analysis method comprises the following steps: acquiring bidding documents corresponding to different projects of an enterprise from a web site; extracting a business scoring table of the bidding document; identifying multiple indexes on the business evaluation table, and obtaining the multiple indexes and scores corresponding to the multiple indexes; interpreting a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes; calculating the certainty degree of the multiple indexes of the enterprise and storing the certainty degree in a preset enterprise qualification library according to the multiple indexes corresponding to different projects of the enterprise, the values corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes; calculating the competitive power scores of the plurality of enterprises corresponding to the newly added bid items according to the indexes of the newly added bid items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library; and sequencing the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises. By the method, the certainty of the index can be accurately calculated, and the accuracy of enterprise competitiveness evaluation is improved. The embodiment of the invention also provides an enterprise bid competitiveness analysis system.
The foregoing is a preferred embodiment of the present invention, and it should be noted that it would be apparent to those skilled in the art that various modifications and enhancements can be made without departing from the principles of the invention, and such modifications and enhancements are also considered to be within the scope of the invention.
Claims (6)
1. An enterprise bid competitiveness analysis method, comprising:
acquiring bidding documents corresponding to different projects of an enterprise from a web site;
extracting a business scoring table of the bidding document;
identifying multiple indexes on the business evaluation table, and obtaining the multiple indexes and scores corresponding to the multiple indexes; the method specifically comprises the following steps: identifying index word segmentation on the business evaluation table; filtering ambiguous segmentations in the index segmentations; splitting the index participles after filtering the ambiguous participles to obtain the multiple indexes and the scores corresponding to the multiple indexes;
interpreting a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes;
according to the multiple indexes corresponding to different projects of the enterprise, the scores corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes, calculating the certainty factor of the multiple indexes of the enterprise and storing the certainty factor of the multiple indexes of the enterprise in a preset enterprise qualification library, specifically: generating a grading index table corresponding to different projects according to the multiple indexes corresponding to different projects of the enterprise, the values corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes; acquiring the qualification and performance index of the enterprise from an official web site or other public channel of the enterprise; comparing and analyzing the scoring index tables corresponding to different projects, the qualification and the performance index of the enterprise, and calculating the certainty of multiple indexes of the enterprise;
calculating the competitive power scores of the plurality of enterprises corresponding to the newly added bid items according to the indexes of the newly added bid items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library;
and sequencing the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises.
2. The method for analyzing the enterprise bidding competitiveness of claim 1, wherein the interpreting a plurality of indexes on the business evaluation table to obtain the index definitions corresponding to the plurality of indexes comprises:
extracting index definitions corresponding to multiple indexes in the bidding document;
and associating the plurality of indexes with the index definitions corresponding to the plurality of indexes.
3. The enterprise bid competitiveness analysis method according to claim 1, wherein the index includes a superior index and an inferior index; and the preset enterprise qualification library stores the superior indexes and the subordinate indexes in a hierarchical directory mode.
4. An enterprise bid competitiveness analysis system, comprising:
the system comprises an information acquisition module, a bidding document acquisition module and a bidding document acquisition module, wherein the information acquisition module is used for acquiring bidding documents corresponding to different projects of an enterprise from a web website;
the information extraction module is used for extracting a business scoring table of the bidding document;
the index identification module is used for identifying a plurality of indexes on the business evaluation table and obtaining the plurality of indexes and scores corresponding to the plurality of indexes; wherein the index identification module comprises: the word segmentation identification module is used for identifying index word segmentation on the business evaluation table; the segmentation filtering module is used for filtering ambiguous segmentations in the index segmentations; the segmentation module is used for splitting the index segmentation after the ambiguity segmentation is filtered to obtain the multiple indexes and the scores corresponding to the multiple indexes;
the index analysis module is used for explaining a plurality of indexes on the business evaluation table to obtain index definitions corresponding to the plurality of indexes;
the certainty factor calculation module is used for calculating the certainty factor of the multiple indexes of the enterprise according to the multiple indexes corresponding to different projects of the enterprise, the scores corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes and storing the certainty factor of the multiple indexes of the enterprise in a preset enterprise qualification library; wherein the certainty calculation module includes: the scoring index table generating module is used for generating scoring index tables corresponding to different projects according to the multiple indexes corresponding to different projects of the enterprise, the scores corresponding to the multiple indexes and the index definitions corresponding to the multiple indexes; the qualification acquisition module is used for acquiring the qualification and the performance index of the enterprise from an official web site or other public channels of the enterprise; the index certainty degree calculation module is used for comparing and analyzing a scoring index table corresponding to different projects, the qualification and the performance index of the enterprise and calculating the certainty degrees of multiple indexes of the enterprise;
the competitiveness calculation module is used for calculating the competitiveness scores of the plurality of enterprises corresponding to the newly added bidding items according to the indexes of the newly added bidding items and the certainty degrees of the indexes corresponding to the plurality of enterprises stored in the enterprise qualification library;
and the ranking module is used for ranking the enterprises from high to low according to the competitive scores to obtain the competitive analysis results of the enterprises.
5. The enterprise bid competitiveness analysis system of claim 4, wherein the indicator resolution module comprises:
the index definition extraction module is used for extracting index definitions corresponding to a plurality of indexes in the bidding document;
and the index definition association module is used for associating the indexes with the index definitions corresponding to the indexes.
6. The enterprise bid competitiveness analysis system of claim 4, wherein the indicators comprise superior indicators and inferior indicators; and the preset enterprise qualification library stores the superior indexes and the subordinate indexes in a hierarchical directory mode.
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Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106504015A (en) * | 2016-10-17 | 2017-03-15 | 鞍钢集团矿业有限公司 | A kind of field supplier of enterprise of combination BP neural network recommends method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9727640B2 (en) * | 2012-05-25 | 2017-08-08 | Erin C. DeSpain | Asymmetrical multilateral decision support system |
-
2017
- 2017-12-15 CN CN201711354086.8A patent/CN107944760B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106504015A (en) * | 2016-10-17 | 2017-03-15 | 鞍钢集团矿业有限公司 | A kind of field supplier of enterprise of combination BP neural network recommends method |
Non-Patent Citations (1)
Title |
---|
"EPC总承包投标报价决策研究";杨文源;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20130315;第4.1-4.2节 * |
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