• DocumentCode
    1797444
  • Title

    A new similarity measure between intuitionistic fuzzy sets based on transformation techniques

  • Author

    Shyi-Ming Chen ; Chia-Hao Chang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • Volume
    1
  • fYear
    2014
  • fDate
    13-16 July 2014
  • Firstpage
    396
  • Lastpage
    402
  • Abstract
    In this paper, we present a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. First, we present a new similarity measure between intuitionistic fuzzy values based on transformation techniques. Then, based on the proposed similarity measure between intuitionistic fuzzy values, we propose a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. The proposed similarity measure can overcome the drawbacks of the existing similarity measures between intuitionistic fuzzy sets.
  • Keywords
    fuzzy set theory; intuitionistic fuzzy sets; similarity measure; transformation techniques; Abstracts; Transforms; Fuzzy numbers; Intuitionistic fuzzy sets; Intuitionistic fuzzy values; Similarity measures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
  • Conference_Location
    Lanzhou
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4799-4216-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2014.7009148
  • Filename
    7009148
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1797444