• DocumentCode
    2220991
  • Title

    Ranking Methods of Intuitionistic Fuzzy Numbers in Multicriteria Decision Making

  • Author

    Shen, Lingling ; Wang, Hai ; Feng, Xiangqian

  • Author_Institution
    Dept. of Manage. Sci. & Eng., Nanjing Normal Univ., Nanjing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    143
  • Lastpage
    146
  • Abstract
    Intuitionistic fuzzy theory is an excellent tool to represent uncertainty and vagueness in fuzzy multi criteria decision making problems. When intuitionistic fuzzy numbers are used to express fuzzy information, they need to compare with each other to indicate the relative importance or priority. This paper reviews an existed method of ranking two intuitionistic fuzzy numbers, and further defines another ranking method based on probabilities. Then we present two step-by-step processes to rank intuitionistic fuzzy numbers based on probabilities and both hesitations and probabilities, respectively. Each process is illustrated by a numerical example and its own available range or condition is discussed as well.
  • Keywords
    decision making; decision theory; fuzzy set theory; probability; uncertainty handling; hesitation; intuitionistic fuzzy theory; multicriteria decision making; probability; ranking method; uncertainty representation; hesitation; intuitionistic fuzzy set; multi criteria decision making; probability; ranking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8829-2
  • Type

    conf

  • DOI
    10.1109/ICIII.2010.198
  • Filename
    5694537