A new multi-criteria decision making algorithm for medical diagnosis and classification problems using divergence measure of picture fuzzy sets
Nguyễn Xuân Thảo, Mumtaz Ali, Le Thi Nhung, Hemant Kumar Gianey, Florentín Smarandache · Journal of Intelligent & Fuzzy Systems · 2019
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.