• DocumentCode
    467748
  • Title

    A New Method to Measure the Similarity Between Interval-Valued Fuzzy Numbers

  • Author

    Chen, Jim-Ho ; Chen, Shyi-Ming

  • Author_Institution
    Nat. Taiwan Univ. of Sci. & Technol., Taipei
  • Volume
    3
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    1403
  • Lastpage
    1408
  • Abstract
    In this paper, we propose a new similarity measure between interval-valued fuzzy numbers. The proposed similarity measure considers the similarity of the gravities on the X-axis between upper fuzzy numbers, the difference of the spreads between upper fuzzy numbers, the heights of the upper fuzzy numbers, the degree of similarity on the X-axis between interval-valued fuzzy numbers, and the gravities on the Y-axis between interval-valued fuzzy numbers. We also prove three properties of the proposed similarity measure between interval-valued fuzzy numbers. We also use some data sets to compare the proposed similarity measure with Chen´s method [1]. The proposed method gets more reasonable results than the method presented in [1] to calculate the degree of similarity between interval-valued fuzzy numbers.
  • Keywords
    fuzzy set theory; interval-valued fuzzy numbers; similarity measures; upper fuzzy numbers; Computer science; Cybernetics; Fuzzy sets; Gold; Gravity; Information filtering; Machine learning; Interval-valued fuzzy numbers; Lower fuzzy numbers; Similarity measures; Upper fuzzy numbers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370364
  • Filename
    4370364