Framework of Group Decision Making With Intuitionistic Fuzzy Preference Information

Huchang Liao, Zeshui Xu, Xiao-Jun Zeng, José M. Merigó

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Group decision making is an essential activity in var-
    ious fields of operations research and management science. This
    paper focuses on the intuitionistic fuzzy group decision making
    problem in which all the experts use the intuitionistic fuzzy pref-
    erence relations (IFPRs) to express their preferences. To start our
    discussion, we first propose the novel framework of intuitionistic
    fuzzy group decision making and clarify the difficulties in deriving
    the final result which is accepted by all individuals in the group.
    Next, a consistency checking method, which is based on the multi-
    plicative consistency, is developed to check the consistency of each
    IFPR furnished by the group of experts. For those IFPRs that do
    not have the acceptable consistency, an iterative procedure is pro-
    posed to improve the consistency. Furthermore, after introducing
    a novel consensus measure, an interesting consensus-reaching pro-
    cedure is developed to help the group to find a solution which is
    accepted by most members in the group. Finally, in order to make
    our approaches more applicable, a step-by-step algorithm is given.
    A numerical example concerning the selection of outstanding Ph.D.
    students for the China Scholarship Council is given to illustrate and
    validate the proposed approaches
    Original languageEnglish
    Pages (from-to)1211-1227
    Number of pages16
    JournalI E E E Transactions on Fuzzy Systems
    Volume23
    Issue number4
    DOIs
    Publication statusPublished - 14 Aug 2014

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