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Group Decision Making Procedure Based On Trapezoidal Intuitionistic Fuzzy Numbers: Multimoora Methodology

Author

Listed:
  • Tomas BALEŽENTIS

    (Lithuanian Institute of Agrarian Economics, Vilnius, Lithuania)

  • Alvydas BALEŽENTIS

    (Mykolas Romeris University, Vilnius, Lithuania)

Abstract

This paper proposes a group multi-criteria decision making approach based on MULTIMOORA method and trapezoidal intuitionistic fuzzy numbers (ITFNs). Specifically, the definition of ITFN by Nehi and Maleki (2005) is followed. The proposed approach relies on the trapezoidal intuitionistic fuzzy power aggregation operators, which reduce the impact of biased assessments in the group decision making. An illustrative example is provided to demonstrate the operationality of the proposed methodology.

Suggested Citation

  • Tomas BALEŽENTIS & Alvydas BALEŽENTIS, 2016. "Group Decision Making Procedure Based On Trapezoidal Intuitionistic Fuzzy Numbers: Multimoora Methodology," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 103-122.
    • Handle: RePEc:cys:ecocyb:v:50:y:2016:i:1:p:103-122
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    References listed on IDEAS

    as
    1. Swagatika Mishra & Anoop Kumar Sahu & Saurav Datta & Siba Sankar Mahapatra, 2015. "Application of fuzzy integrated MULTIMOORA method towards supplier/partner selection in agile supply chain," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 22(4), pages 466-514.
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    Cited by:

    1. Willem Karel M. BRAUERS & Edmundas Kazimieras ZAVADSKAS & Natalija LEPKOVA, 2017. "The Future of Facilities Management in Lithuania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 98-115, March.

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    More about this item

    Keywords

    multi-criteria decision making; trapezoidal intuitionistic fuzzy number; MULTIMOORA.;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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