Two New Optimal Aggregation Approaches of Fuzzy Opinions in Group Decision Environment

摘要：

The aggregation of fuzzy opinions is an importantcomponent of group decision analysis with fuzzyinformation.This paper proposes two new approaches forthe assessment of the weights to be associated with fuzzyopinions.These approaches involve,respectively,theminimization of the sum of squared differences between theindividual weighted fuzzy opinion and the weighted meanvalue of all fuzzy opinions,which is called the weightedminimum variance method(WMVM),and the minimaxdifferences between the possibilistic mean value of aweighted.fuzzy opinion and the possibilistic mean value ofthe weighted mean value,which is called the possibilisticmean value minimax differences method(PMVMDM).Thetwo approaches are developed and numerical examplesare presented to illustrate their simplicity and effectivenessin aggregating fuzzy opinions.

作者: Gong Yanbing Zhang Jiguo

作者单位: Business School,Hohai University,P.R China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 389-394

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）