ArticleGranular computing2022
A new picture fuzzy divergence measure based on Jensen-Tsallis information measure and its application to multicriteria decision making.
Article in Granular computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- An efficient spherical fuzzy MEREC-CoCoSo approach based on novel score function and aggregation operators for group decision making.Granular computing · 2023Article
- A new picture fuzzy divergence measure based on Jensen-Tsallis information measure and its application to multicriteria decision making.Granular computing · 2022Article
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2 authors.
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Abstract
Picture Fuzzy Sets (PFSs) originated by Cuong and Kreinovich are more capable to capture uncertain, inconsistent and vague information in multi-criteria decision making. In this paper, we propose a new picture fuzzy divergence measure based on Jensen-Tsallis function between PFSs. Further, the concept has been extended from fuzzy sets to novel picture fuzzy divergence measure. Besides the validation of the proposed measure, some of its key properties with specific cases are additionally talked about. The performance of the proposed measure is compared with other existing measures in the literature. Some illustrative examples are provided in the context of novel rapacious COVID-19 and pattern recognition which demonstrate the adequacy and practicality of the proposed approach in solving real-life problems.
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