NEW DISSIMILARITY MEASURES ON PICTURE FUZZY SETS AND APPLICATIONS

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

Authors

  • Nhung Thi Le Vietnam National University of Agriculture
  • Dinh Van Nguyen Vietnam National University of Agriculture
  • Chau Minh Ngoc Vietnam National University of Agriculture
  • Thao Xuan Nguyen Vietnam National University of Agriculture

DOI:

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

Keywords:

Picture fuzzy set, dissimilarity measure, MCDM

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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Published

23-11-2018

How to Cite

[1]
N. T. Le, D. V. Nguyen, C. M. Ngoc, and T. X. Nguyen, “NEW DISSIMILARITY MEASURES ON PICTURE FUZZY SETS AND APPLICATIONS”, JCC, vol. 34, no. 3, p. 219–231, Nov. 2018.

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Computer Science