A new method for similarity measures for pattern recognition

Peter C.P. Yen, Kuo Chin Fan, Henry C.J. Chao

研究成果: 雜誌貢獻期刊論文同行評審

14 引文 斯高帕斯(Scopus)


This paper points out three questionable areas in the realm of similarity measures and then provides a new method that will rectify the problem. The purpose of this paper is fourfold. First, we will propose a scenario where the three similarity measures proposed by Hung and Yang (2004) [1] are helpless in aiding a decision maker in deciding pattern recognition problem. Second, we will present our method for solving the dilemma. Third, we will show that our proposed similarity measures satisfy the axioms for well defined similarity measures. Fourth, we will prove that our method could solve pattern recognition problems. Our findings will help researchers handle similarity problems under intuitionistic fuzzy sets environment.

頁(從 - 到)5335-5342
期刊Applied Mathematical Modelling
出版狀態已出版 - 1 4月 2013


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