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Extension of TOPSIS model to the decision-making under complex spherical fuzzy information

  • Soft computing in decision making and in modeling in economics
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Abstract

This research article is devoted to present a decision-making approach pertaining the excellent tendencies of traditional TOPSIS method under the broader environment of complex spherical fuzzy sets (CSFSs). TOPSIS method is regarded as one of the authentic decision-making strategies that follows the scheme to point out the alternative acquiring favorable distances from the ideal solutions. On the other hand, the pre-eminent feature of the CSFS includes the tendency to handle both aspects of two-dimensional information involved in the satisfaction, abstinence and dissatisfaction nature of human decisions. This study aims to expand the number of multiple criteria group decision-making (MCGDM) techniques by presenting a strategy, named complex spherical fuzzy TOPSIS (CSF-TOPSIS) method that cumulates the novel features of complex spherical fuzzy sets with the potential of TOPSIS method. In proposed method, we merge the independent decisions of all experts about the capabilities of alternatives and priorities of criteria using the CSFWA operator. We rank the alternatives in an ascending order of revised closeness index, evaluated by deploying normalized Euclidean distance. We establish the proposed CSF-TOPSIS method by an explanatory numerical example for the selection of best water supply strategy for Nohoor village in Iran. Further, we conduct the comparative study with spherical fuzzy TOPSIS method and complex spherical fuzzy VIKOR method to explicate the adequacy of the proposed strategy and consistency of the results.

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Authors and Affiliations

  1. Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan

    Muhammad Akram & Kiran Zahid

  2. Industrial Engineering Department, Istanbul Technical University, Maçka, Istanbul, Turkey

    Cengiz Kahraman

Authors
  1. Muhammad Akram
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  2. Cengiz Kahraman
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  3. Kiran Zahid
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Correspondence to Cengiz Kahraman.

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Akram, M., Kahraman, C. & Zahid, K. Extension of TOPSIS model to the decision-making under complex spherical fuzzy information. Soft Comput 25, 10771–10795 (2021). https://doi.org/10.1007/s00500-021-05945-5

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