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http://dx.doi.org/10.14317/jami.2022.897

APPLICATIONS OF SIMILARITY MEASURES FOR PYTHAGOREAN FUZZY SETS BASED ON SINE FUNCTION IN DECISION-MAKING PROBLEMS  

ARORA, H.D. (Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh)
NAITHANI, ANJALI (Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh)
Publication Information
Journal of applied mathematics & informatics / v.40, no.5_6, 2022 , pp. 897-914 More about this Journal
Abstract
Pythagorean fuzzy sets (PFSs) are capable of modelling information with more uncertainties in decision-making problems. The essential feature of PFSs is that they are described by three parameters: membership function, non-membership function and hesitant margin, with the total of the squares of each parameter equal to one. The purpose of this article is to suggest some new similarity measures and weighted similarity measures for PFSs. Numerical computations have been carried out to validate our proposed measures. Applications of these measures have been applied to some real-life decision-making problems of pattern detection and medicinal investigations. Moreover, a descriptive illustration is employed to compare the results of the proposed measures with the existing analogous similarity measures to show their effectiveness.
Keywords
Fuzzy set; intuitionistic fuzzy set; pythagorean fuzzy sets; similarity measure; weighted similarity measures; pattern recognition; medical diagnosis;
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