• DocumentCode
    226575
  • Title

    A new fuzzy ranking method using fuzzy preference relations

  • Author

    Kok Chin Chai ; Kai Meng Tay ; Chee Peng Lim

  • Author_Institution
    Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    293
  • Lastpage
    297
  • Abstract
    In this paper, a new fuzzy ranking method for both type-1 and interval type-2 fuzzy sets (FSs) using fuzzy preference relations is proposed. The use of fuzzy preference relations to rank FSs with vertices has been introduced, and successfully implemented to undertake fuzzy multiple criteria hierarchical group decision-making problems. The proposed fuzzy ranking method is an extension of the results published in [1], and it is able to rank FSs with and without vertices. Besides that, it is important for a fuzzy ranking method to satisfy six reasonable fuzzy ordering properties as discussed in [6]-[8]. As a result, the capability of the proposed fuzzy ranking method in fulfilling these properties is analyzed and discussed. Issues related to time complexity of the proposed method are also examined.
  • Keywords
    computational complexity; decision making; fuzzy set theory; fuzzy ordering property; fuzzy preference relations; fuzzy ranking method; interval type-2 fuzzy sets; multiple criteria hierarchical group decision-making problems; time complexity; type-1 fuzzy sets; Benchmark testing; Decision making; Frequency selective surfaces; Fuzzy sets; Indexes; Shape; Time complexity; Fuzzy ranking; fuzzy ordering; fuzzy preference relations; properties; type-1 and interval type-2 fuzzy sets;
  • 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.2014.6891610
  • Filename
    6891610