What is it about?
Our main purpose is to show that according to the membership and non-membership functions of intuitionistic fuzzy sets, a triangular norm can induce an inclusion degree. Using this triangular norm and the induced inclusion degree, a similarity measure of intuitionistic fuzzy sets can be obtained.
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Why is it important?
Combining similarity measure in the sense of distance with similarity measure in the sense of triangular norm.
Perspectives
We try to apply the proposed methods to other fields such as approximation reasoning and multiple attribute decision making.
Shi Zhan-hong
Gansu Agricultural University
Read the Original
This page is a summary of: A novel similarity degree of intuitionistic fuzzy sets induced by triangular norm and its application in pattern recognition, Journal of Intelligent & Fuzzy Systems Applications in Engineering and Technology, September 2019, IOS Press,
DOI: 10.3233/jifs-190102.
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