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Article type: Research Article
Authors: Thao, Nguyen Xuana; * | Ali, Mumtazb | Nhung, Le Thia | Gianey, Hemant Kumarc | Smarandache, Florentind
Affiliations: [a] Vietnam National University of Agriculture, Hanoi, Vietnam | [b] 2Deakin-SWU Joint Research Centre on Big Data, School of Information Technology, Deakin University, Victoria, Australia | [c] Thapar Institute of Engineering and Technology, Patiala Punjab, India | [d] Mathematics Department, University of New Mexico, Gallup, NM, USA
Correspondence: [*] Corresponding author. Nguyen Xuan Thao, Vietnam National University of Agriculture, Hanoi, Vietnam. E-mail: nxthao@vnua.edu.vn.
Abstract: A divergence measure plays an important part in distinguishing two probability distributions and drawing conclusions based on that discrimination. In this paper, we proposed the concept of divergence measure of picture fuzzy sets. We also built some formulas of the proposed divergence measure of picture fuzzy sets anddiscussed some basic properties of this measure.Based on the proposedmeasure, we developed a multi-criteria decision-making algorithm. Finally, we applied the proposed multi-criteria decision-making algorithm in the medical diagnosis problem and the classification problem.
Keywords: Picture fuzzy set, picture fuzzy divergence measure, medical diagnosis, classification problem
DOI: 10.3233/JIFS-182697
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7785-7796, 2019
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