A new method for similarity measures for pattern recognition

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

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)5335-5342
Number of pages8
JournalApplied Mathematical Modelling
Volume37
Issue number7
DOIs
StatePublished - 1 Apr 2013

Keywords

  • Intuitionistic fuzzy sets
  • Pattern recognition
  • Similarity measures

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