• DocumentCode
    2374323
  • Title

    An algorithm to determine fuzzy distance measure

  • Author

    Ali Beigi, M. ; Hajjari, Tayebeh ; Ghasem Khani, E.

  • Author_Institution
    Dept. of Math., Islamic Azad Univ., Firoozkooh, Iran
  • fYear
    2013
  • fDate
    27-29 Aug. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fuzzy distance measure is an important aspect of decision-making in a fuzzy environment. Since their inception 1965, many researchers have proposed many methods for fuzzy distance measure. However, there is no method, which gives a satisfactory result to all situations. In a paper by Sadi-Nezhad et al. [Fuzzy distance of triangular fuzzy numbers, Journal of Intelligent and Fuzzy Systems (2012)], a fuzzy distance measure is proposed for two triangular fuzzy numbers based on left and right points. In the proposed method the distance between A and A is not zero and the result is unreasonable. In this paper, we present a new algorithm to determine distance between two fuzzy numbers. Moreover, it will be developed in n-dimension spaces. Finally, some numerical examples demonstrate the advantages of the improved method.
  • Keywords
    algorithm theory; decision making; fuzzy set theory; decision making; fuzzy distance measure; fuzzy environment; triangular fuzzy numbers; Algorithm; Fuzzy Distance; Multi Attribute Decision Making (MADM); Triangular Fuzzy Numbers (TFN);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
  • Conference_Location
    Qazvin
  • Print_ISBN
    978-1-4799-1227-8
  • Type

    conf

  • DOI
    10.1109/IFSC.2013.6675613
  • Filename
    6675613