New Intuitionistic Fuzzy Similarity Measures and Application to Pattern Recognition
Journal Title: International Journal of Current Research and Review - Year 2017, Vol 9, Issue 5
Abstract
Aim: The aim of the paper is to introduce three new intuitionistic fuzzy similarity measures. Methodology: To achieve the goal of this paper, an exponential methodology is used with three different functions. The important properties of the proposed measures are discussed axiomatically. Results: The applicability and efficiency of these new similarity measures in pattern recognition are demonstrated with illustrative examples. It is shown that the proposed measures are efficient, reasonable and simpler than the existing measures. Conclusion: The proposed intuitionistic fuzzy similarity measures are consistent for the application point of view in the context of pattern recognition
Authors and Affiliations
Anshu Ohlan
Keywords
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