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NEW DISSIMILARITY MEASURES ON PICTURE FUZZY SETS AND APPLICATIONS

Nhung Thi Le, Dinh Van Nguyen, Chau Minh Ngoc, Thao Xuan Nguyen

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.

Keywords


Picture fuzzy set; dissimilarity measure; MCDM

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References


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DOI: https://doi.org/10.15625/1813-9663/34/3/13223

Journal of Computer Science and Cybernetics ISSN: 1813-9663

Published by Vietnam Academy of Science and Technology