基于残缺值的模糊偏好关系多属性大群体决策方法  

Multi-Attribute Large Group Decision Making Method Basedon Incomplete Fuzzy Preference Relation

作　　者：冯晓静 FENG Xiaojing(Institute of Western China Economic Research,Southwestern Universityof Finance and Economics,Chengdu 611130,China)

机构地区：[1]西南财经大学中国西部经济研究院,四川成都611130

出　　处：《上海管理科学》2023年第4期87-93,共7页Shanghai Management Science

基　　金：中央高校基本科研业务费专项资金资助(JBK22YJ11,JBK2304149)。

摘　　要：在多属性大群体决策环境下,针对决策者给出关于决策方案两两比较且可能包含残缺值的模糊偏好关系的决策问题,提出了一种基于相似度聚类的残缺值模糊偏好关系大群体决策方法。此方法首先通过标准化残缺值矩阵,然后定义判断矩阵之间的相似度对大群体进行聚类,再对各个属性下的群体偏好进行集结,通过偏差熵模型确定各个决策属性的权重,集结所有决策属性下的群体偏好,最后得到决策方案的排序结果。文章最后给出了一个算例分析以验证此方法的有效性。In the environment of multi-attribute large group decision-making,aiming at the decision-making problem that the decision-maker gives the fuzzy preference relation of pairwise comparison of decision-making schemes and may contain residual value,a large group decision-making method based on similarity clustering of fuzzy preference relation of residual value is proposed.This method firstly standardizes the incomplete value matrix,then defines the similarity between judgment matrices to cluster large groups,and then aggregates the group preferences under each attribute;Next,it determines the weight of each decision attribute through the deviation entropy model,and aggregates all decisions Group preferences under attributes,and finally get the ranking results of decision-making schemes.A numerical example analysis is given to illustrate the effectiveness of the method developed.

关 键 词：残缺值 模糊偏好关系 聚类 多属性决策 大群体决策 

分 类 号：C934[经济管理—管理学]