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Conflicting Bifuzzy Multi-attribute Group Decision Making Model with Application to Flood Control Project

Author

Listed:
  • Che Mohd Imran Che Taib

    (University Malaysia Terengganu)

  • Binyamin Yusoff

    (University Malaysia Terengganu)

  • Mohd Lazim Abdullah

    (University Malaysia Terengganu)

  • Abdul Fatah Wahab

    (University Malaysia Terengganu)

Abstract

We propose a group decision making model based on conflicting bifuzzy sets (CBFS) where evaluation are bi-valued in accordance to the subjective assessment obtained from the experts for the positive and negative views. This paper discusses the weighting methods for particular attribute and subattribute with emphasis given to the unification of subjective and objective weights. The integration of CBFS in the model is naturally done by extending the fuzzy evaluation in parallel with the intuitionistic fuzzy. We introduce a new technique to compute the similarity measure, being the degree of agreement between the experts. We end up the paper by demonstrating the applicability of the proposed model to the empirical case of flood control project, one of the project selection problems.

Suggested Citation

  • Che Mohd Imran Che Taib & Binyamin Yusoff & Mohd Lazim Abdullah & Abdul Fatah Wahab, 2016. "Conflicting Bifuzzy Multi-attribute Group Decision Making Model with Application to Flood Control Project," Group Decision and Negotiation, Springer, vol. 25(1), pages 157-180, January.
    • Handle: RePEc:spr:grdene:v:25:y:2016:i:1:d:10.1007_s10726-015-9437-7
    DOI: 10.1007/s10726-015-9437-7
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    References listed on IDEAS

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    1. Jun Ye, 2013. "Multiple Attribute Group Decision-Making Methods with Completely Unknown Weights in Intuitionistic Fuzzy Setting and Interval-Valued Intuitionistic Fuzzy Setting," Group Decision and Negotiation, Springer, vol. 22(2), pages 173-188, March.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    3. Olcer, A. I. & Odabasi, A. Y., 2005. "A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem," European Journal of Operational Research, Elsevier, vol. 166(1), pages 93-114, October.
    4. Liu, Hua-Wen & Wang, Guo-Jun, 2007. "Multi-criteria decision-making methods based on intuitionistic fuzzy sets," European Journal of Operational Research, Elsevier, vol. 179(1), pages 220-233, May.
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    Cited by:

    1. Binyamin YUSOFF & Jose Maria MERIGÓ & David CEBALLOS, 2017. "OWA-based Aggregation Operations in Multi-Expert MCDM Model," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(2), pages 211-230.

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