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Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy

Author

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  • Arunodaya Raj Mishra

    (ITM University)

  • Pratibha Rani

    (Marwadi University)

Abstract

Interval-valued intuitionistic fuzzy sets (IVIFSs) are very flexible tool to cope with the uncertainty arises in multi-criteria decision making (MCDM) problems. In recent times, MCDM problems with interval-valued intuitionistic fuzzy information have achieved more attention from researchers in different areas and consequently, several MCDM methods have been extended for IVIFSs. In this paper, a novel approach based on WASPAS method is developed under IVIFSs. The developed method is based on the operators of IVIFSs, some amendments in the classical WASPAS method and a new process for calculation of criteria and decision experts’ weights. In process for calculating weights, new procedures is propoesd to compute the decision experts’ weights and criteria weights based on interval-valued intuitionistic fuzzy information measures (entropy, divergence and similarity measures) to achieve more realistic weights. Innovative information measures are developed based on the exponential function for IVIFSs to determine the weights of the criteria and decision experts. Since the uncertainty is an unavoidable feature of MCDM problems, the developed method can be a constructive tool for decision-making in an uncertain environment. Further, an uncertain decision making problem of reservoir flood control management policy is implemented with interval-valued intuitionistic fuzzy information, which reveals the effectiveness and reliability of the proposed IVIF-WASPAS method. To validate the result, comparative analysis with existing methods and sensitivity analysis are presented under interval-valued intuitionistic fuzzy environment.

Suggested Citation

  • Arunodaya Raj Mishra & Pratibha Rani, 2018. "Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy," Group Decision and Negotiation, Springer, vol. 27(6), pages 1047-1078, December.
    • Handle: RePEc:spr:grdene:v:27:y:2018:i:6:d:10.1007_s10726-018-9593-7
    DOI: 10.1007/s10726-018-9593-7
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    References listed on IDEAS

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    1. Anjana Gupta & Aparna Mehra & S. S. Appadoo, 2015. "Mixed Solution Strategy for MCGDM Problems Using Entropy/Cross Entropy in Interval-Valued Intuitionistic Fuzzy Environment," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-22.
    2. Nastaran Chitsaz & Mohammad Banihabib, 2015. "Comparison of Different Multi Criteria Decision-Making Models in Prioritizing Flood Management Alternatives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2503-2525, June.
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    10. Feifei Jin & Lidan Pei & Huayou Chen & Reza Langari & Jinpei Liu, 2019. "A Novel Decision-Making Model with Pythagorean Fuzzy Linguistic Information Measures and Its Application to a Sustainable Blockchain Product Assessment Problem," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    11. Melfi Alrasheedi & Abbas Mardani & Arunodaya R. Mishra & Dalia Streimikiene & Huchang Liao & Abdullah H. Al‐nefaie, 2021. "Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 120-142, January.
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