• DocumentCode
    226451
  • Title

    A revised procedure to estimate missing values in incomplete fuzzy preference relations

  • Author

    Yejun Xu ; Feng Ma ; Huimin Wang

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    In this paper, we propose a four-way procedure to estimate missing preference values when dealing with acceptable incomplete fuzzy preference relations (IFPRs). The proposed revised procedure can estimate more missing elements in the first iteration and also has more advantages than the existing methods. An illustrative example and comparative analyses are offered to demonstrate the advantages of the proposed method.
  • Keywords
    estimation theory; fuzzy set theory; iterative methods; IFPRs; incomplete fuzzy preference relations; missing elements; missing value estimation; Additives; Conferences; Decision making; Educational institutions; Estimation; Fuzzy systems; Mathematical model; Incomplete fuzzy preference relations; estimate missing values; revised procedure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891550
  • Filename
    6891550