不确定型GOWA算子及其应用

Uncertain Generalized Ordered Weighted Averaging Operator and Its Application

把Yager提出的广义有序加权平均(GOWA)算子推广到所给定的数据信息均为区间直觉模糊数形式的不确定环境中.利用基于得分函数和精确函数的区间直觉模糊数之间比较的方法,提出了一种不确定型GOWA算子,并且介绍了一种利用区间直觉模糊GOWA算子进行群决策的通用方法.并把区间直觉模糊GOWA算子在食品生产企业供应链管理中进行了应用,数值结果表明了新算子的有效性和可行性.

This paper extends the generalized ordered weighted averaging （GOWA） operator of Yager to accommodate uncertain conditions where all input arguments take the forms of interval-valued intuitionis^ic fuzzy numbers. Based on the method for the comparison between two interval-valued intu- itionistic fuzzy numbers based on score function and accuracy function, an uncertain GOWA operator is proposed, and a multi-attribute group decision-making method Based on uncertain GOWA operator is also presented. The proposed operator is applied in food manufacturer supply chain management. A numerical example is given to show the feasibility and effectiveness of the method.