• DocumentCode
    2891373
  • Title

    Incomplete Fuzzy Preference Relations and their Fusion

  • Author

    Wang, Tien-Chin ; Lin, Ying-ling

  • Author_Institution
    Dept. of Inf. Manage., I-Shou Univ., Kaohsiung
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    1823
  • Lastpage
    1828
  • Abstract
    Because of decision makers having limited attention spans and information processing capabilities, as well as some decision alternatives being incomparable, decision makers may develop incomplete preference relations in which some elements cannot be provided. The method proposed by Herrera et al. devises a consistent preference relation that is restricted by the set of n-1 values {p12, p 23, ..., pn-1n}. Therefore, for convenience and flexibility, the following uses the incomplete fuzzy preference relation with the least judgments (that is, n-1 judgments) to develop a simple and practical method for constructing a consistent complete fuzzy preference relation in which experts can compare any row, column or diagonal. The proposed method is more convenient and flexible than that of Herrera et al
  • Keywords
    decision making; decision theory; fuzzy set theory; decision making; incomplete fuzzy preference relations; information processing capabilities; Aggregates; Cybernetics; Decision making; Electronic mail; Fuses; Fuzzy sets; Information management; Information processing; Machine learning; Uncertainty; Incomplete fuzzy preference relations; consistency; decision making; fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.259044
  • Filename
    4028361