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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/987654321/24255


    題名: A similarity measure of intuitionistic fuzzy sets based on the Sugeno integral with its application to pattern recognition
    作者: Hwang, CM (Hwang, Chao-Ming)
    Yang, MS (Yang, Miin-Shen)
    Hung, WL (Hung, Wen-Liang)
    Lee, MG (Lee, Ming-Gay)
    貢獻者: Dept Appl Math
    關鍵詞: Fuzzy set
    Intuitionistic fuzzy set
    Similarity measure
    Sugeno integral
    Robust clustering method
    日期: 2012-05
    上傳時間: 2013-02-21 14:34:44 (UTC+8)
    摘要: Similarity measures of intuitionistic fuzzy sets are used to indicate the similarity degree between intuitionistic fuzzy sets. Although several similarity measures for intuitionistic fuzzy sets have been proposed in previous studies, no one has considered the use of the Sugeno integral to define them. Since the Sugeno integral provides an expected-value-like operation, it can be a useful tool in defining the expected total similarity degree between two intuitionistic fuzzy sets. In this paper, we propose a new similarity measure formula for intuitionistic fuzzy sets induced by the Sugeno integral. Some examples are illustrated to compare the proposed method with several existing methods. Numerical results show that the proposed similarity measure is more reasonable than those existing methods. On the other hand, measuring the similarity between intuitionistic fuzzy sets is also important in pattern recognition. Finally, the proposed similarity measure uses a robust clustering method to recognize the patterns of intuitionistic fuzzy sets. (C) 2011 Elsevier Inc. All rights reserved.
    關聯: INFORMATION SCIENCES 卷: 189 頁數: 93-109
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