Cosine and Cotangent Similarity Measures Based on Choquet Integral for Spherical Fuzzy Sets and Applications to Pattern Recognition
DOI:
https://doi.org/10.47852/bonviewJCCE2022010105Keywords:
spherical fuzzy set, cosine and cotangent similarity measure, fuzzy measure, Choquet integral, pattern recognitionAbstract
The notion of trigonometric similarity measure (SM) for spherical fuzzy sets (SFSs) has become very important in solving various problems in pattern recognition and medical diagnosis. This study proposes some trigonometric SMs with the help of Choquet integral for SFSs. The proposed trigonometric SMs clearly satisfy the axiomatic definition of classical SMs. We also perform these SMs in pattern recognition problems to examine a comparative analysis of the proposed trigonometric SMs with some existing SMs. Spearman’s rank correlation coefficient is utilized to demonstrate the effectiveness of the proposed SMs.
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Published
2022-01-31
How to Cite
Ünver, M., Olgun, M., & Türkarslan, E. . (2022). Cosine and Cotangent Similarity Measures Based on Choquet Integral for Spherical Fuzzy Sets and Applications to Pattern Recognition. Journal of Computational and Cognitive Engineering, 1(1), 21–31. https://doi.org/10.47852/bonviewJCCE2022010105
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Research Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.
