Geodesic
Impact of Trigonometric Similarity Measures for Pythagorean Fuzzy Sets and Their Applications
Yugoslav journal of operations research, Tome 34 (2024) no. 3, p. 569 .

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In fuzzy set theory, the similarity measure is a significant device that measures the degree of correlation between two objects. An extension to intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS) have been widely employed in numerous disciplines. It is critical to investigate the similarity measure of PFS. The study proposes the trigonometric function to suggest new similarity measures of PFS to handle the uncertainty that the existing similarity measures are unable to differentiate. Firstly, axiomatic descriptions of similarity measures for the proposed measures are proved. Then, an example is used to validate the proposed measures. Application to pattern recognition and medical diagnosis is also discussed in real-life scenarios. The validity of the suggested similarity measures is proved by comparing the results to the effectiveness of current equivalent similarity measures. Finally, a comparative study of these real-life examples reveals that the novel similarity measures are more flexible and dependable than the current similarity measures in dealing with various real application difficulties.
Classification : 03E72 94D05
Keywords: Intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), similarity measures, pattern recognition, medical diagnosis 
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     author = {Hari Arora and Vijay Kumar and Anjali Naithani},
     title = {Impact of {Trigonometric} {Similarity} {Measures} for {Pythagorean} {Fuzzy} {Sets} and {Their} {Applications}},
     journal = {Yugoslav journal of operations research},
     pages = {569 },
     publisher = {mathdoc},
     volume = {34},
     number = {3},
     year = {2024},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2024_34_3_a9/}
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Hari Arora; Vijay Kumar; Anjali Naithani. Impact of Trigonometric Similarity Measures for Pythagorean Fuzzy Sets and Their Applications. Yugoslav journal of operations research, Tome 34 (2024) no. 3, p. 569 . http://geodesic.mathdoc.fr/item/YJOR_2024_34_3_a9/