GRP method for multiple attribute group decision making under trapezoidal interval type-2 fuzzy environment

Yanbing Ju*, Dawei Ju, Aihua Wang, Mingyue Ju

*Corresponding author for this work

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    Abstract

    Multiple attribute group decision making (MAGDM) is a very active research field in management sciences. Many practical MAGDM problems are often characterized by ambiguity and uncertainty. The aim of this paper is to develop an integrated MAGDM method with unknown weight information under trapezoidal interval type-2 fuzzy environment based on the grey relational projection (GRP) method. Firstly, to determine the comprehensive weights of attributes, a novel method is proposed by combining the analytic hierarchy process (AHP) technique under trapezoidal interval type-2 fuzzy environment and inter-Attribute coefficient method. Secondly, the traditional GRP method is extended to solve MAGDM problems under trapezoidal interval type-2 fuzzy environment, i.e., the optimial alternative should have the largest grey relational projection on the trapezoidal interval type-2 fuzzy positive ideal solution (TIT2-FPIS) and smallest grey relational projection on the trapezoidal interval type-2 fuzzy negative ideal solution (TIT2-FNIS) simultaneously. Finally, an emergency medical department selection problem is taken as an illustrative example to demonstrate the calculation process of the proposed method.

    Original languageEnglish
    Pages (from-to)3469-3482
    Number of pages14
    JournalJournal of Intelligent and Fuzzy Systems
    Volume33
    Issue number6
    DOIs
    Publication statusPublished - 2017

    Keywords

    • Trapezoidal interval type-2 fuzzy sets (TIT2FSs)
    • analytic hierarchy process (AHP)
    • grey relational projection (GRP)
    • multiple attribute group decision making (MAGDM)

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    Ju, Y., Ju, D., Wang, A., & Ju, M. (2017). GRP method for multiple attribute group decision making under trapezoidal interval type-2 fuzzy environment. Journal of Intelligent and Fuzzy Systems, 33(6), 3469-3482. https://doi.org/10.3233/JIFS-16608