Abstract:

Similarity function is an important content of intuitionistic fuzzy sets (IFS) multicriteria decision making, which directly affects the decision result. This paper compares the existing 18 kinds of IFS similarity functions and analyzes the matching degree with the similarity degree definition. Secondly, this paper analyzes the applied limitation of the characteristic of the similarity function for the hypothesis of the IFS and compares the size of IFS through the score function, and then redefines the similarity property of IFS. Thirdly, a new IFS similarity measure is designed according to the redefined similarity measure property. Finally, the case analysis and sensitivity analysis verify the validity of the method and the distinction between the decision results.