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The Prametric-Based GDM Procedure Under Fuzzy Environment

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  • Fujun Hou

    (Beijing Institute of Technology)

Abstract

The prametric is an ‘almost metric’ which does not necessarily satisfy the triangle inequality but able to describe the consensus intransitivity in group decision making (GDM) such as Tom and Jack have preferences in common, also Jack and John have preferences in common, but, Tom and John do not necessarily have preferences in common. A prametric-based consensus formation procedure for GDM was presented in a literature. This paper considers the procedure under fuzzy environment where the individuals’ preferences are provided as fuzzy numbers. The Yager defuzzification method is used for constructing the preference sequence matrix where the (i, j)-th entry indicates the alternative i’s position(s) assigned by individual j. An illustrative example for application is also included.

Suggested Citation

  • Fujun Hou, 2016. "The Prametric-Based GDM Procedure Under Fuzzy Environment," Group Decision and Negotiation, Springer, vol. 25(5), pages 1071-1084, September.
    • Handle: RePEc:spr:grdene:v:25:y:2016:i:5:d:10.1007_s10726-015-9468-0
    DOI: 10.1007/s10726-015-9468-0
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    References listed on IDEAS

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    Cited by:

    1. Evangelos Triantaphyllou & Fujun Hou & Juri Yanase, 2020. "Analysis of the Final Ranking Decisions Made by Experts After a Consensus has Been Reached in Group Decision Making," Group Decision and Negotiation, Springer, vol. 29(2), pages 271-291, April.
    2. Hou, Fujun & Triantaphyllou, Evangelos, 2019. "An iterative approach for achieving consensus when ranking a finite set of alternatives by a group of experts," European Journal of Operational Research, Elsevier, vol. 275(2), pages 570-579.
    3. Triantaphyllou, Evangelos & Yanase, Juri & Hou, Fujun, 2020. "Post-consensus analysis of group decision making processes by means of a graph theoretic and an association rules mining approach," Omega, Elsevier, vol. 94(C).
    4. Fujun Hou, 2018. "Mutual Conversion Between Preference Maps And Cook-Seiford Vectors," Papers 1812.03566, arXiv.org.

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