WO2020135587A1 - 风险评估指标集构建方法及装置 - Google Patents
风险评估指标集构建方法及装置 Download PDFInfo
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- the invention relates to the technical field of risk assessment, in particular to a method and device for constructing a risk assessment indicator set.
- index set structure In the field of risk assessment, there are two main methods for constructing the index set structure, one is determined by expert experience, and the other is a statistical method represented by cluster analysis.
- the present invention aims to solve one of the technical problems in the related art at least to a certain extent.
- an object of the present invention is to propose a method for constructing a risk assessment indicator set, which can optimize the scientificity and rationality of the risk assessment indicator set construction, provide a basis for the specificity and pertinence of risk prevention, and is simple and easy to implement .
- Another object of the present invention is to propose a device for constructing a risk assessment indicator set.
- an embodiment of the present invention provides a method for constructing a risk assessment indicator set, which includes the following steps: acquiring multiple risk factors for risk assessment and generating an adjacency matrix between each risk factor; The adjacency matrix obtains a reachable matrix to construct a hierarchical relationship between elements; an index set structure diagram is obtained according to the hierarchical relationship between elements.
- the method for constructing a risk assessment indicator set realizes the quantitative characterization of the hierarchical relationship between various factors through matrix operations, and realizes the construction of a risk assessment indicator set, thereby optimizing the scientificity and rationality of the risk assessment indicator set construction.
- the basis for the specificity and pertinence of risk prevention is simple and easy to implement.
- the method for constructing a risk assessment indicator set according to the above embodiments of the present invention may also have the following additional technical features:
- the relational expression of the adjacency matrix is:
- the hierarchical relationship between the building elements includes: obtaining the reachable set and the prior set for each risk factor according to the reachable matrix; and according to the reachable set and The element set is obtained in advance to obtain the hierarchical relationship between the elements.
- the elements in the element set are allowed to reach from other elements, and the elements in the element set are not allowed to reach the other elements.
- the obtaining the index set structure diagram according to the hierarchical relationship between the elements further includes: placing the element set from top to bottom according to the level order, and using directed arrows or line segments Represents the relationship between the elements of adjacent levels and the relationship between the elements of the same level to build a hierarchical structure diagram of each element in the index set, where,
- a risk assessment indicator set construction apparatus including: a first acquisition module, configured to acquire multiple risk factors for risk assessment, and generate a risk factor between each risk factor Adjacency matrix; a building module for obtaining a reachable matrix according to the adjacency matrix to construct a hierarchical relationship between elements; a second acquisition module for acquiring an index set structure diagram according to the hierarchical relationship between the elements.
- the risk assessment indicator set construction device of the embodiment of the present invention realizes the quantitative characterization of the hierarchical relationship between various factors through matrix operations, and realizes the construction of the risk assessment indicator set, thereby optimizing the scientificity and rationality of the construction of the risk assessment indicator set,
- the basis for the specificity and pertinence of risk prevention is simple and easy to implement.
- the risk assessment indicator set construction device may also have the following additional technical features:
- the relational expression of the adjacency matrix is:
- the construction module is further configured to obtain the reachable set and the prior set for each risk factor according to the reachable matrix, and according to the reachable set and the prior set Get a set of elements to get the hierarchical relationship between the elements.
- the elements in the element set are allowed to reach from other elements, and the elements in the element set are not allowed to reach the other elements.
- the second acquisition module is further configured to place the element set from top to bottom according to the level order, and use directed arrows or line segments to represent the relationship between adjacent level elements and The relationship between the elements in the same level to build a hierarchy diagram of each element in the indicator set, where,
- FIG. 1 is a flowchart of a method for constructing a risk assessment indicator set according to an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of a risk assessment indicator set construction device according to an embodiment of the present invention.
- FIG. 1 is a flowchart of a method for constructing a risk assessment indicator set according to an embodiment of the present invention.
- the construction method of the risk assessment indicator set includes the following steps:
- step S101 multiple risk factors for risk assessment are obtained, and an adjacency matrix between each risk factor is generated.
- the embodiments of the present invention determine the main factors for risk assessment by using the characteristics of the risk assessment, specific accident cases, expert consultation and other methods.
- the risk factor is the main factor, which requires subjective screening. Construct the adjacency matrix between the factors.
- the relational expression of the adjacency matrix is:
- the adjacency matrix A represents the relationship between each factor used for risk assessment, and the expression is:
- a ij 0, it means that there is no direct relationship between factor i and factor j; from the perspective of reachability, it can be expressed as that factor i can go through a path with a step size of 1, and cannot directly reach j.
- step S102 a reachable matrix is obtained according to the adjacency matrix to construct a hierarchical relationship between elements.
- a reachability matrix is constructed based on the adjacency matrix obtained above, and then a hierarchical relationship between elements is constructed according to the reachability matrix.
- constructing a hierarchical relationship between elements includes: obtaining an reachable set and an advance set for each risk factor according to an reachability matrix; obtaining an element set according to the reachable set and the advance set to obtain Hierarchical relationship between elements.
- the elements in the element set are allowed to reach from other elements, and the elements in the element set are not allowed to reach other elements.
- the matrix R is the reachable matrix.
- r ij is 1, it means that there is a reachable path from element a i to element a j , that is, there is a direct or indirect relationship between element a i and a j , which can be classified into the same system unit.
- r ij is 0, it means that there is no reachable path from element a i to element a j , that is, there is no direct or indirect relationship between element a i and a j , and it cannot be classified into the same system unit.
- P(a i ) is called the reachable set, that is, the set of all elements that can be reached from the element a i , that is, the set of elements affected by the a i factor, you can find the upper value of the i-th row of the reachable matrix R Find the element corresponding to the 1 column.
- Q(a i ) is called an advance set, that is, a set of all elements that can reach element a i . It can be obtained by searching for the element corresponding to the row with a value of 1 on the i-th column of the reachable matrix R.
- the element in L 1 has the following characteristics: the element can be reached from other elements, but cannot be reached from the element, that is, the element in L 1 is the element at the highest level (first level). Then, delete the rows and columns corresponding to the elements in L 1 from the original reachable matrix M to obtain the matrix M′, and perform the same operation on M′ to determine the elements belonging to the second level L 2 . Repeat the same operation in the future to find L 3 , L 4 , ... in order to assign each element to the corresponding level.
- step S103 an index set structure diagram is obtained according to the hierarchical relationship between elements.
- obtaining the index set structure diagram according to the hierarchical relationship between the elements further includes: placing the element set from top to bottom according to the level order, and using directed arrows or line segments to represent the relationship between adjacent level elements and The relationship between the elements in the same level to build a hierarchical structure diagram of each element in the index set.
- placing the element set from top to bottom according to the level order and using directed arrows or line segments to represent the relationship between adjacent level elements and The relationship between the elements in the same level to build a hierarchical structure diagram of each element in the index set.
- the elements of the first level L 1 are placed on the uppermost layer, and the elements of the second level L 2 are below, and so on, and the elements are placed in order from top to bottom.
- the embodiments of the present invention can again use expert panels or other feasible quantitative evaluation methods to make judgments to eliminate this interaction relationship. Ensure the independence of evaluation indicators.
- the index set structure is constructed based on the explanatory structure model, which can quantify and clarify the hierarchical relationship between the index factors, which is reasonable and scientific for risk assessment and risk prevention. Provide specific basis and pertinence to effectively solve the problem of semi-quantitative index set construction when using the index system method for risk assessment.
- the explanation structure model is a qualitative and quantitative method to clearly evaluate the structural relationship between index factors.
- the index factors used to participate in the matrix calculation and the pairwise relationship between each index are determined by expert experience. After matrix operations, the accessibility between factors can be used to quantify the hierarchical structure of the index set.
- the matrix operation is used to quantitatively characterize the hierarchical relationship between the various factors and the construction of the risk assessment indicator set, thereby optimizing the scientificity and rationality of the construction of the risk assessment indicator set To provide a basis for the specificity and pertinence of risk prevention and control, which is simple and easy to implement.
- FIG. 2 is a schematic structural diagram of an apparatus for constructing a risk assessment indicator set according to an embodiment of the present invention.
- the risk assessment indicator set construction device 10 includes: a first acquisition module 100, a construction module 200 and a second acquisition module 300.
- the first obtaining module 100 is used to obtain multiple risk factors for risk assessment and generate an adjacency matrix between each risk factor.
- the construction module 200 is used to obtain a reachable matrix according to the adjacency matrix to construct a hierarchical relationship between elements.
- the second obtaining module 300 is used to obtain the index set structure diagram according to the hierarchical relationship between the elements.
- the device 10 of the embodiment of the present invention optimizes the scientificity and rationality of the construction of the risk assessment index set, provides a basis for the specificity and pertinence of risk prevention, and is simple and easy to implement.
- the relational expression of the adjacency matrix is:
- the construction module 200 is further configured to obtain the reachable set and the prior set for each risk factor according to the reachable matrix, and obtain the element set according to the reachable set and the advance set to obtain the element Inter-level relationship.
- the elements in the element set are allowed to reach from other elements, and the elements in the element set are not allowed to reach other elements.
- the second acquisition module 300 is further configured to place the element set from top to bottom according to the level order, and use directed arrows or line segments to represent the relationship between adjacent level elements and within the same level The relationship between the elements to build a hierarchical structure diagram of each element in the indicator set, where, during the construction of the indicator set, if there is a mutual interaction between the elements, manual or quantitative evaluation A decision is made to eliminate the interaction effect.
- a matrix operation is used to quantitatively characterize the hierarchical relationship between various factors and the construction of a risk assessment indicator set, thereby optimizing the scientificity and rationality of risk assessment indicator set construction To provide a basis for the specificity and pertinence of risk prevention and control, which is simple and easy to implement.
- first and second are used for description purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features.
- the features defined as “first” and “second” may include at least one of the features explicitly or implicitly.
- the meaning of “plurality” is at least two, such as two, three, etc., unless specifically defined otherwise.
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Abstract
一种风险评估指标集构建方法及装置,所述方法包括以下步骤:获取多个风险评估的风险因子,并生成每个风险因子之间的邻接矩阵(S101);根据邻接矩阵得到可达矩阵,以构建要素间层级关系(S102);根据要素间层级关系获取指标集结构图(S103)。该方法通过矩阵运算实现定量化表征各因子之间的层级关系,实现风险评估指标集的构建,从而优化风险评估指标集构建的科学性和合理性,为风险防治的具体性和针对性提供依据,简单易实现。
Description
相关申请的交叉引用
本申请要求清华大学、北京辰安科技股份有限公司于2018年12月29日提交的、发明名称为“风险评估指标集构建方法及装置”的、中国专利申请号“201811645641.7”的优先权。
本发明涉及风险评估技术领域,特别涉及一种风险评估指标集构建方法及装置。
在风险评估领域中,指标集结构的构建方法主要有两种,一是通过专家经验确定,二是通过以聚类分析为代表的统计学方法。
然而,仅仅通过单一的专家经验方法,即只是根据专家经验或事故案例分析决定选用何种评价指标,其中各指标因子之间的层级关系确定存在较强的主观性,且缺少定量化的推理过程,从而使得风险评估缺少定量化表征;并且统计学方法对指标数据的要求较高,在实际运算中,往往存在一定的限制性。
发明内容
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。
为此,本发明的一个目的在于提出一种风险评估指标集构建方法,该方法可以优化风险评估指标集构建的科学性和合理性,为风险防治的具体性和针对性提供依据,简单易实现。
本发明的另一个目的在于提出一种风险评估指标集构建装置。
为达到上述目的,本发明一方面实施例提出了一种风险评估指标集构建方法,包括以下步骤:获取多个风险评估的风险因子,并生成每个风险因子之间的邻接矩阵;根据所述邻接矩阵得到可达矩阵,以构建要素间层级关系;根据所述要素间层级关系获取指标集结构图。
本发明实施例的风险评估指标集构建方法,通过矩阵运算实现定量化表征各因子之间的层级关系,实现风险评估指标集的构建,从而优化风险评估指标集构建的科学性和合理性,为风险防治的具体性和针对性提供依据,简单易实现。
另外,根据本发明上述实施例的风险评估指标集构建方法还可以具有以下附加的技术 特征:
进一步地,在本发明的一个实施例中,所述邻接矩阵的关系表达式为:
A=(a
ij)
n×n,
其中,a
ij=1,表示因子i与因子j之间存在直接的关系;a
ij=0,表示因子i与因子j之间不存在直接的关系;n为正整数。
进一步地,在本发明的一个实施例中,所述构建要素间层级关系,包括:根据所述可达矩阵对所述每个风险因子求可达集合与先行集合;根据所述可达集合与先行集合得到要素集合,以得到所述要素间层级关系。
进一步地,在本发明的一个实施例中,在所述要素集合中,从其它要素允许到达所述要素集合中的元素,且从所述要素集合中的元素不允许到达所述其它要素。
进一步地,在本发明的一个实施例中,所述根据所述要素间层级关系获取指标集结构图,进一步包括:根据级别顺序将所述要素集合从上至下放置,并用有向箭头或线段代表相邻级别要素间的关系及同一级别内要素之间的关系,以搭建指标集内每个要素的层次结构图,其中,
在所述指标集构建的过程中,如果所述要素之间存在相互影响作用关系,则通过人工或定量化评估进行判定,以消除所述相互影响作用关系。
为达到上述目的,本发明另一方面实施例提出了一种风险评估指标集构建装置,包括:第一获取模块,用于获取多个风险评估的风险因子,并生成每个风险因子之间的邻接矩阵;构建模块,用于根据所述邻接矩阵得到可达矩阵,以构建要素间层级关系;第二获取模块,用于根据所述要素间层级关系获取指标集结构图。
本发明实施例的风险评估指标集构建装置,通过矩阵运算实现定量化表征各因子之间的层级关系,实现风险评估指标集的构建,从而优化风险评估指标集构建的科学性和合理性,为风险防治的具体性和针对性提供依据,简单易实现。
另外,根据本发明上述实施例的风险评估指标集构建装置还可以具有以下附加的技术特征:
进一步地,在本发明的一个实施例中,所述邻接矩阵的关系表达式为:
A=(a
ij)
n×n,
其中,a
ij=1,表示因子i与因子j之间存在直接的关系;a
ij=0,表示因子i与因子j之间不存在直接的关系;n为正整数。
进一步地,在本发明的一个实施例中,所述构建模块进一步用于根据所述可达矩阵对所述每个风险因子求可达集合与先行集合,并根据所述可达集合与先行集合得到要素集合,以得到所述要素间层级关系。
进一步地,在本发明的一个实施例中,在所述要素集合中,从其它要素允许到达所述要素集合中的元素,且从所述要素集合中的元素不允许到达所述其它要素。
进一步地,在本发明的一个实施例中,所述第二获取模块进一步用于根据级别顺序将所述要素集合从上至下放置,并用有向箭头或线段代表相邻级别要素间的关系及同一级别内要素之间的关系,以搭建指标集内每个要素的层次结构图,其中,
在所述指标集构建的过程中,如果所述要素之间存在相互影响作用关系,则通过人工或定量化评估进行判定,以消除所述相互影响作用关系。
本发明附加的方面和优点将在下面的描述中部分给出,部分将从下面的描述中变得明显,或通过本发明的实践了解到。
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解,其中:
图1为根据本发明一个实施例的风险评估指标集构建方法的流程图;
图2为根据本发明一个实施例的风险评估指标集构建装置的结构示意图。
下面详细描述本发明的实施例,所述实施例的示例在附图中示出,其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的,旨在用于解释本发明,而不能理解为对本发明的限制。
下面参照附图描述根据本发明实施例提出的风险评估指标集构建方法及装置,首先将参照附图描述根据本发明实施例提出的风险评估指标集构建方法。
图1是本发明一个实施例的风险评估指标集构建方法的流程图。
如图1所示,该风险评估指标集构建方法包括以下步骤:
在步骤S101中,获取多个风险评估的风险因子,并生成每个风险因子之间的邻接矩阵。
可以理解的是,本发明实施例利用风险评估的对象特征、具体事故案例、专家咨询等方法,确定用以进行风险评估的主要因子,其中,风险因子即为主要因子,需要人为主观筛选,同时构建各因子之间的邻接矩阵。
进一步地,在本发明的一个实施例中,邻接矩阵的关系表达式为:
A=(a
ij)
n×n,
其中,a
ij=1,表示因子i与因子j之间存在直接的关系;a
ij=0,表示因子i与因子j之间不存在直接的关系;n为正整数。
具体而言,邻接矩阵A表示用以进行风险评估的各因子两两之间的关系,表达式为:
A=(a
ij)
n×n,
其中,若a
ij=1,表示因子i与因子j之间存在直接的关系;从可达性来看,可以表述为从因子i可经过步长为1的路径,直接到达j。
若a
ij=0,表示因子i与因子j之间不存在直接的关系;从可达性来看,可以表述为从因子i可经过步长为1的路径,不能直接到达j。
在步骤S102中,根据邻接矩阵得到可达矩阵,以构建要素间层级关系。
可以理解的是,本发明实施例根据上述求得的邻接矩阵构建可达矩阵,进而根据可达矩阵实现要素间层级关系构建。
下面将结合实施例对构建可达矩阵和要素间层级关系构建进行详细的阐述。
进一步地,在本发明的一个实施例中,构建要素间层级关系,包括:根据可达矩阵对每个风险因子求可达集合与先行集合;根据可达集合与先行集合得到要素集合,以得到要素间层级关系。
其中,在本发明的一个实施例中,在要素集合中,从其它要素允许到达要素集合中的元素,且从要素集合中的元素不允许到达其它要素。
具体而言,(1)构建可达矩阵R
求得邻接矩阵A后,再求A与单位矩阵I的和A+I,做矩阵A+I的幂运算,运算过程中遵循布尔代数运算规则,直到下式成立:
R≠(A+I)≠(A+I)
2≠…=(A+I)
n=(A+I)
n+1,
R=(r
ij)
n×?,
矩阵R即为可达矩阵。
若r
ij为1,代表要素a
i到要素a
j间存在着可到达的路径,即要素a
i和a
j之间存在直接或间接的关系,可归为同一个***单元内。
若r
ij为0,代表要素a
i到要素a
j间不存在可到达的路径,即要素a
i和a
j之间不存在直接或间接的关系,不可归为同一个***单元内。
(2)要素间层级关系构建
应用可达矩阵R,对各要素a
i求如下集合:
P(a
i)={a
j|r
ij=1},
Q(a
i)={a
j|r
ji=1},
其中,P(a
i)称为可达集合,即从要素a
i出发可以到达的全部要素的集合,即受a
i因子影响的要素集,可以通过查找可达矩阵R的第i行上值为1的列对应的要素求得。 而Q(a
i)称为先行集合,即可以到达要素a
i的全部要素的集合。可以通过查找可达矩阵R的第i列上值为1的行对应的要素求得。
再根据P(a
i),Q(a
i)(i=1,2,…,n),求满足式如下要求的各要素集合L
1。
L
1中的元素有如下特征:从其它要素可以到达该要素,而从该要素不能到达其它要素,即L
1中的要素是位于最高层次(第一级)的要素。然后,从原来的可达矩阵M中删去L
1中要素对应的行、列得到矩阵M′,对M′进行同样操作确定属于第二级L
2的要素。以后重复同样操作,依次求出L
3,L
4,…,从而把各要素分配到相应的级别上。
在步骤S103中,根据要素间层级关系获取指标集结构图。
在本发明的一个实施例中,根据要素间层级关系获取指标集结构图,进一步包括:根据级别顺序将要素集合从上至下放置,并用有向箭头或线段代表相邻级别要素间的关系及同一级别内要素之间的关系,以搭建指标集内每个要素的层次结构图,其中,在指标集构建的过程中,如果要素之间存在相互影响作用关系,则通过人工或定量化评估进行判定,以消除相互影响作用关系。
可以理解的是,要素间的层级关系构建后,在最上层放第一级L
1的要素,下面是第二级L
2的要素,依次类推,把各要素从上至下按级别顺序放置。并用有向箭头/线段代表相邻级别要素间的关系及同一级别内要素之间的关系,进而完成指标集内各要素的层次结构图搭建工作。另外,指标集在构建过程中,如相互之间存在互为影响关系的情况时,本发明实施例可以再次凭借专家小组或其他可行的定量化评估方法进行判定,消除这种相互作用关系,以保证评估指标的独立性。
综上,本发明实施例选用指标体系法进行风险评估时,基于解释结构模型进行指标集结构的搭建,可定量化理清指标因子间的层级关系,为风险评估的合理、科学性,风险防治的具体性和针对性提供依据,从而有效解决在采用指标体系法进行风险评估时,半定量化进行指标集构建的问题。其中,解释结构模型是一种定性与定量相结合的用以明确评估指标因子间结构关系的方法,用以参加矩阵运算的指标因子及各指标之间的两两关系为专家经验确定得出,经过矩阵运算后,可通过因子之间的可达性,定量化构建指标集的层次结构。
根据本发明实施例提出的风险评估指标集构建方法,通过矩阵运算实现定量化表征各因子之间的层级关系,实现风险评估指标集的构建,从而优化风险评估指标集构建的科学性和合理性,为风险防治的具体性和针对性提供依据,简单易实现。
其次参照附图描述根据本发明实施例提出的风险评估指标集构建装置。
图2是本发明一个实施例的风险评估指标集构建装置的结构示意图。
如图2所示,该风险评估指标集构建装置10包括:第一获取模块100、构建模块200和第二获取模块300。
其中,第一获取模块100用于获取多个风险评估的风险因子,并生成每个风险因子之 间的邻接矩阵。构建模块200用于根据邻接矩阵得到可达矩阵,以构建要素间层级关系。第二获取模块300用于根据要素间层级关系获取指标集结构图。本发明实施例的装置10优化风险评估指标集构建的科学性和合理性,为风险防治的具体性和针对性提供依据,简单易实现。
进一步地,在本发明的一个实施例中,邻接矩阵的关系表达式为:
A=(a
ij)
n×n,
其中,a
ij=1,表示因子i与因子j之间存在直接的关系;a
ij=0,表示因子i与因子j之间不存在直接的关系;n为正整数。
进一步地,在本发明的一个实施例中,构建模块200进一步用于根据可达矩阵对每个风险因子求可达集合与先行集合,并根据可达集合与先行集合得到要素集合,以得到要素间层级关系。
进一步地,在本发明的一个实施例中,在要素集合中,从其它要素允许到达要素集合中的元素,且从要素集合中的元素不允许到达其它要素。
进一步地,在本发明的一个实施例中,第二获取模块300进一步用于根据级别顺序将要素集合从上至下放置,并用有向箭头或线段代表相邻级别要素间的关系及同一级别内要素之间的关系,以搭建指标集内每个要素的层次结构图,其中,在所述指标集构建的过程中,如果所述要素之间存在相互影响作用关系,则通过人工或定量化评估进行判定,以消除所述相互影响作用关系。
需要说明的是,前述对风险评估指标集构建方法实施例的解释说明也适用于该实施例的风险评估指标集构建装置,此处不再赘述。
根据本发明实施例提出的风险评估指标集构建装置,通过矩阵运算实现定量化表征各因子之间的层级关系,实现风险评估指标集的构建,从而优化风险评估指标集构建的科学性和合理性,为风险防治的具体性和针对性提供依据,简单易实现。
此外,术语“第一”、“第二”仅用于描述目的,而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此,限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本发明的描述中,“多个”的含义是至少两个,例如两个,三个等,除非另有明确具体的限定。
在本说明书的描述中,参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中,对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且,描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外,在不相互矛盾的情况下,本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合 和组合。
尽管上面已经示出和描述了本发明的实施例,可以理解的是,上述实施例是示例性的,不能理解为对本发明的限制,本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。
Claims (10)
- 一种风险评估指标集构建方法,其特征在于,包括以下步骤:获取多个风险评估的风险因子,并生成每个风险因子之间的邻接矩阵;根据所述邻接矩阵得到可达矩阵,以构建要素间层级关系;以及根据所述要素间层级关系获取指标集结构图。
- 根据权利要求1所述的风险评估指标集构建方法,其特征在于,所述邻接矩阵的关系表达式为:A=(a ij) n×n,其中,a ij=1,表示因子i与因子j之间存在直接的关系;a ij=0,表示因子i与因子j之间不存在直接的关系;n为正整数。
- 根据权利要求1所述的风险评估指标集构建方法,其特征在于,所述构建要素间层级关系,包括:根据所述可达矩阵对所述每个风险因子求可达集合与先行集合;根据所述可达集合与先行集合得到要素集合,以得到所述要素间层级关系。
- 根据权利要求3所述的风险评估指标集构建方法,其特征在于,在所述要素集合中,从其它要素允许到达所述要素集合中的元素,且从所述要素集合中的元素不允许到达所述其它要素。
- 根据权利要求3或4所述的风险评估指标集构建方法,其特征在于,所述根据所述要素间层级关系获取指标集结构图,进一步包括:根据级别顺序将所述要素集合从上至下放置,并用有向箭头或线段代表相邻级别要素间的关系及同一级别内要素之间的关系,以搭建指标集内每个要素的层次结构图,其中,在所述指标集构建的过程中,如果所述要素之间存在相互影响作用关系,则通过人工或定量化评估进行判定,以消除所述相互影响作用关系。
- 一种风险评估指标集构建装置,其特征在于,包括:第一获取模块,用于获取多个风险评估的风险因子,并生成每个风险因子之间的邻接矩阵;构建模块,用于根据所述邻接矩阵得到可达矩阵,以构建要素间层级关系;以及第二获取模块,用于根据所述要素间层级关系获取指标集结构图。
- 根据权利要求6所述的风险评估指标集构建装置,其特征在于,所述邻接矩阵的关系表达式为:A=(a ij) n×n,其中,a ij=1,表示因子i与因子j之间存在直接的关系;a ij=0,表示因子i与因子j之间不存在直接的关系;n为正整数。
- 根据权利要求6所述的风险评估指标集构建装置,其特征在于,所述构建模块进一步用于根据所述可达矩阵对所述每个风险因子求可达集合与先行集合,并根据所述可达集合与先行集合得到要素集合,以得到所述要素间层级关系。
- 根据权利要求8所述的风险评估指标集构建装置,其特征在于,在所述要素集合中,从其它要素允许到达所述要素集合中的元素,且从所述要素集合中的元素不允许到达所述其它要素。
- 根据权利要求8或9所述的风险评估指标集构建装置,其特征在于,所述第二获取模块进一步用于根据级别顺序将所述要素集合从上至下放置,并用有向箭头或线段代表相邻级别要素间的关系及同一级别内要素之间的关系,以搭建指标集内每个要素的层次结构图,其中,在所述指标集构建的过程中,如果所述要素之间存在相互作用关系,则通过人工或定量化评估进行判定,以消除所述相互作用关系。
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN104899666A (zh) * | 2015-06-26 | 2015-09-09 | 国家电网公司 | 企业运营分析预警***的监测指标优化方法 |
CN106971265A (zh) * | 2017-03-21 | 2017-07-21 | 武汉理工大学 | 一种评价海上救援能力的方法 |
CN108573339A (zh) * | 2018-03-22 | 2018-09-25 | 昆明理工大学 | 一种多指标投影决策法的消费者网购风险评估方法 |
CN109766516A (zh) * | 2018-12-29 | 2019-05-17 | 清华大学 | 风险评估指标集构建方法及装置 |
Non-Patent Citations (2)
Title |
---|
CHUANFENG HAN ET AL: "Interpretative Structural Modelling-based Analysis of Emergency Mechanism System", JOURNAL OF NATURAL DISASTERS, vol. 15, no. 6, 31 December 2006 (2006-12-31), pages 154 - 158, XP009521668 * |
JIE ZHOU ET AL: "Analysis of Algae Bloom in Taihu Lake Base on Interpretative Structural Modeling", ENVIRONMENTAL POLLUTION & CONTROL, vol. 31, no. 5, 31 May 2009 (2009-05-31), pages 20 - 20,30, XP009521671 * |
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