• DocumentCode
    226804
  • Title

    A method for estimating criteria weights from interval-valued intuitionistic fuzzy preference relation

  • Author

    Weize Wang ; Jindong Qin ; Xinwang Liu

  • Author_Institution
    Sch. of Econ. & Manage., Guangxi Normal Univ., Guilin, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    285
  • Lastpage
    292
  • Abstract
    Interval-valued intuitionistic fuzzy preference relation is a useful tool to express decision maker´s interval-valued intuitionistic fuzzy preference information over criteria in the process of multi-criteria decision making. How to derive the priority weights from an interval-valued intuitionistic fuzzy preference relation is an interesting and important issue in decision making with interval-valued intuitionistic fuzzy preference relation(s). In this paper, some new concepts such as interval-valued interval fuzzy sets, interval-valued interval fuzzy preference relation and consistent interval-valued intuitionistic fuzzy preference relation, are defined, and the equivalent interval-valued interval fuzzy preference relation of interval-valued intuitionistic fuzzy preference relation is given. Then a method for estimating criteria weights from interval- valued intuitionistic fuzzy preference relations is developed, two numerical examples are provided to illustrate the developed method.
  • Keywords
    decision making; fuzzy logic; fuzzy set theory; criteria weight estimation; decision maker interval-valued intuitionistic fuzzy preference information; interval-valued interval fuzzy sets; interval-valued intuitionistic fuzzy preference relation; multicriteria decision making; Decision making; Economics; Educational institutions; Fuzzy set theory; Fuzzy sets; Programming; Vectors; consistent; goal programming models; interval-valued intuitionistic fuzzy set; multiple criteria decision making; preference relation;
  • 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.2014.6891720
  • Filename
    6891720