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    請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/20864


    題名: On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering
    作者: Yang, MS (Yang, Miin-Shen)
    Lin, DC (Lin, Der-Chen)
    貢獻者: 應數系
    關鍵詞: LOGIC SYSTEMS
    FUZZIFICATION
    RECOGNITION
    OPERATIONS
    NUMBERS
    日期: 2009-03
    上傳時間: 2011-12-07 13:02:50 (UTC+8)
    摘要: 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 alpha-level, these clustering results consist of a better hierarchical tree. (C) 2008 Elsevier Ltd. All rights reserved.
    顯示於類別:[Department of Applied Mathematics] journal articles

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