NEW DISSIMILARITY MEASURES ON PICTURE FUZZY SETS AND APPLICATIONS

Nhung Thi Le · Ngọc Minh Châu

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Multi-Criteria Decision Making Rough Sets and Fuzzy Logic Fuzzy and Soft Set Theory

Abstract

The dissimilarity measures between fuzzy sets/intuitionistic fuzzy sets/picture fuzzy sets are studied and applied in various matters. In this paper, we propose some new dissimilarity measures on picture fuzzy sets. This new dissimilarity measures overcome the restrictions of all existing dissimilarity measures on picture fuzzy sets. After that, we apply these new measures to the pattern recognition problems. Finally, we introduce a multi-criteria decision making (MCDM) method that used the new dissimilarity measures and apply them in the supplier selection problems.

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2015Picture fuzzy sets 2013Picture fuzzy sets - A new concept for computational intelligence problems 2017Some Picture Fuzzy Aggregation Operators and Their Applications to Multicriteria Decision-Making 2016PICTURE FUZZY CROSS-ENTROPY FOR MULTIPLE ATTRIBUTE DECISION MAKING PROBLEMS 2017Some Cosine Similarity Measures for Picture Fuzzy Sets and Their Applications to Strategic Decision Making 2018The Generalized Dice Similarity Measures for Picture Fuzzy Sets and Their Applications 2018SOME SIMILARITY MEASURES FOR PICTURE FUZZY SETS AND THEIR APPLICATIONS 2015Some Fuzzy Logic Operators for Picture Fuzzy Sets

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