一种具有区间数信息的多属性大群体决策方法  

A Method for Multi-Attribute Large Group Decision Making With Interval Number Information

作　　者：万树平[1] 

机构地区：[1]江西财经大学信息管理学院,南昌330013

出　　处：《模式识别与人工智能》2011年第3期340-345,共6页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金(No.71061006;70861002);教育部人文社科项目(No.09YGC630107);江西省教育厅科技项目(No.GJJ10123)资助

摘　　要：针对属性值为区间数的多属性多方案大群体决策问题,提出一种区间数聚类算法.通过该聚类算法将方案的属性值聚类,得到方案的群体偏好矩阵,再利用诱导有序加权平均算子集结确定属性的权重,根据方案的综合评价值给出方案排序,进而提出大群体决策方法.该方法较好地避免聚类阈值选取的经验性,提高决策结果的可信度.实例分析验证了方法的有效性和实用性.Aiming at multi-attribute and multi-alternative large group decision making in which the attribute values are in the form of interval numbers, an interval clustering algorithm is proposed. The attribute values of alternatives are clustered to obtain the large group preference matrix of alternatives by the proposed algorithm. The weight vector of attributes is derived through integration of induced ordered weighted averaging （IOWA） operator. The result of alternative priority is given according to the overall evaluation values of all alternatives, thereby, the method of large group decision making is proposed. This method avoids the empirical selection of threshold value to cluster well and improves the credibility of decision making. The example analysis verifies that the method is both effective and practicable.

关 键 词：大群体 多属性决策 区间数 群体聚类 诱导有序加权平均(IOWA)算子 

分 类 号：O225[理学—运筹学与控制论]