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- W1975672023 abstract "In this paper we define similarity and inclusion measures between type-2 fuzzy sets. We then discuss their properties and also consider the relationships between them. Several examples are used to present the calculation of these similarity and inclusion measures between type-2 fuzzy sets. We finally combine the proposed similarity measures with Yang and Shih’s [M.S. Yang, H.M. Shih, Cluster analysis based on fuzzy relations, Fuzzy Sets and Systems 120 (2001) 197–212] algorithm as a clustering method for type-2 fuzzy data. These clustering results are compared with Hung and Yang’s [W.L. Hung, M.S. Yang, Similarity measures between type-2 fuzzy sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12 (2004) 827–841] results. According to different α -level, these clustering results consist of a better hierarchical tree." @default.
- W1975672023 created "2016-06-24" @default.
- W1975672023 creator A5064595002 @default.
- W1975672023 creator A5087177935 @default.
- W1975672023 date "2009-03-01" @default.
- W1975672023 modified "2023-10-15" @default.
- W1975672023 title "On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering" @default.
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- W1975672023 doi "https://doi.org/10.1016/j.camwa.2008.10.028" @default.
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