基于模糊层次分析法和D数的决策方法研究  被引量:4

Research on Decision Method Extended by Fuzzy Analytic Hierarchy Process and D Numbers

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作  者:莫泓铭[1] 徐建林 MO Hongming;XU Jianlin(Library,Sichuan Minzu College,Kangding 626001,China;Human Resources Office,Sichuan Minzu College,Kangding 626001,China)

机构地区:[1]四川民族学院图书馆,四川康定626001 [2]四川民族学院人事处,四川康定626001

出  处:《湖北文理学院学报》2020年第2期5-12,34,共9页Journal of Hubei University of Arts and Science

基  金:四川民族学院校办科研项目(XYZB18013ZB)。

摘  要:针对决策问题中的权重分配与信息融合问题,提出了一种基于模糊层次法和D数的决策方法模型(D-FAHP).利用三角模糊数,决策者对决策对象的属性两两进行比较,构建属性评价矩阵;运用模糊层次分析法获得决策对象的属性权重,建立D数辨识框架;决策者对决策对象做出评价,构建基于D数的决策评价矩阵:并基于D数聚集属性,分层、分步地集成决策对象属性的评价信息,得到各决策对象的综合评价信息.最后通过实例验证该D-FAHP决策方法模型的有效性.Focused on the problems of weight distribution and information fusion in decision making problems,a new decision making model based on fuzzy analytic hierarchy processes(FAHP)and D numbers(D-FAHP)is proposed.First,based on triangular fuzzy numbers,the attributes of decision objects are compared,and attribute evaluation matrix is constructed.The fuzzy analytic hierarchy process(FAHP)is used to obtain the attribute weights of the decision objects.Second,framework of D numbers is established,and decision makers evaluate the decision objects based on D numbers,and the decision evaluation matrix is constructed.Third,D number aggregation attribute is used to aggregate the decision information given by decision makers step by step,involving the attributes of decision object.Finally,comprehensive evaluation information of each decision object is obtained.D-FAHP method is hierarchical and well-organized.A numerical example is carried out to demonstrate the effective,scientific of the proposed method.

关 键 词:模糊层次分析法 证据理论 D数 决策 权重分配 信息融合 

分 类 号:TP391[自动化与计算机技术—计算机应用技术] N945.25[自动化与计算机技术—计算机科学与技术]

 

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