摘要： 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. 出版者： Elsevier Inc 出版日期： 2013-04-01 出處： Applied mathematical modelling, 2013-04, Vol.37 (7), p.5335-5342 資源來源： ScienceDirect - Freedom Collection 版權： 2012 Elsevier Inc. 識別號： ISSN: 0307-904X 識別號： DOI: 10.1016/j.apm.2012.10.043
