多值直觉模糊集信息融合研究

Research on Information Fusion of Multiple-valued Intuitionistic Fuzzy Set

多值直觉模糊集是对直觉模糊集的拓展,较传统直觉模糊集在描述不确定、不精确、信息不完全问题时的能力更强。但如何将多值直觉模糊集中的多个隶属度与非隶属度进行融合,进而得到综合的评判准则,这是在应用多值直觉模糊集合分析问题时首先要解决的问题之一。现对此问题进行了研究,并为其构造了几种融合方法。

The multiple-valued intuitionistic fuzzy set is extending the traditional intuitionistic fuzzy set.Comparing with the traditional ntuitionistic fuzzy set,the multiple-valued intuitionistic fuzzy set has better abilities to descript the indefinite,unprecise and incomplete information.But one of the important problems to be solved in applying the multiple-va-lued intuitionistic fuzzy set is how to fuse these criterions of membership and the nonmembership into one criterion of membership and the nonmembership,thus obtain the synthesis judgment criterion.This paper researched on this question,and constructed several fusion methods for them.