基于新直觉模糊相似度的大规模群决策方法  

Multiple Attribute Large-scaled Group Decision Making Methods Based on New Intuitionistic Fuzzy Similarity Degree

作　　者：李鹏[1] 朱建军[2] 

机构地区：[1]江苏科技大学经济管理学院,江苏镇江212003 [2]南京航空航天大学经济与管理学院,江苏南京211106

出　　处：《运筹与管理》2014年第2期167-174,共8页Operations Research and Management Science

基　　金：国家自然科学基金(71171112;70701017;71171101);教育部人文社科青年规划基金项目(12YJCZH091);国家社科基金(11GBL039);教育部博士点基金(20133220;120002);江苏省研究生教改问题(JGLX13-069);江苏科技大学人文社科基金(633041204)

摘　　要：研究了群体规模较大情况下基于直觉模糊评价信息的决策方法。提出一种新的直觉模糊相似度公式,研究了一种新的直觉模糊聚类方法,设计了一种基于新的聚类方法的核心决策者权重确定方法。实例分析说明了该方法的合理性和可行性。In this paper,the large-scale multiple attribute group decision making（ MAGDM） method with intuitionistic fuzzy information is studied. First,a new formula to derive the intuitionistic fuzzy similarity degree between two intuitionistic fuzzy sets is proposed. And a clustering method is developed based on the new formula. The decision makers can be clustered into different classes by the above method and the core decision makers can be found in the different classes. Then a method is designed to determine the weights of the core decision makers. Finally,an example shows the feasibility and validity of this method.

关 键 词：群决策 直觉模糊集 大规模 聚类分析 相似度 

分 类 号：C934[经济管理—管理学]