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

Abstract

Abstract: 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.

Key words: group decision making, intuitionistic fuzzy sets, large-scaled, clustering analysis, similarity degree

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。

关键词: 群决策, 直觉模糊集, 大规模, 聚类分析, 相似度

CLC Number:

C934

LI Peng, ZHU Jian-jun. Multiple Attribute Large-scaled Group Decision Making Methods Based on New Intuitionistic Fuzzy Similarity Degree[J]. Operations Research and Management Science, 2014, 23(2): 167-174.

李鹏, 朱建军. 基于新直觉模糊相似度的大规模群决策方法[J]. 运筹与管理, 2014, 23(2): 167-174.

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