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Simulated Hesitant Fuzzy Linguistic Term Sets-Based Approach for Modeling Uncertainty in AHP Method

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  • Fatih Tüysüz

    (Department of Industrial Engineering, İstanbul University, 34320, Avcılar, İstanbul, Turkey)

Abstract

One of the important points in decision-making is representing the uncertainty. There have been developed approaches which are based on either fuzzy sets theory or probability theory to model the inherent uncertainty and imprecision in the pairwise comparison process of analytic hierarchy process (AHP). This study proposes a hybrid approach that integrates fuzzy sets theory and simulation technique into AHP method to better represent the uncertainty in decision-making process. The aim of the proposed approach is to benefit the advantages of both probability theory and fuzzy sets theory which may provide a new paradigm for modeling uncertainty in multi-criteria decision-making (MCDM). An illustrative example is also presented to show the applicability of the proposed approach.

Suggested Citation

  • Fatih Tüysüz, 2018. "Simulated Hesitant Fuzzy Linguistic Term Sets-Based Approach for Modeling Uncertainty in AHP Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 801-817, May.
    • Handle: RePEc:wsi:ijitdm:v:17:y:2018:i:03:n:s0219622018500074
    DOI: 10.1142/S0219622018500074
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    References listed on IDEAS

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