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Decision Support System Based on CoCoSo Method with the Picture Fuzzy Information

Author

Listed:
  • Muhammad Qiyas
  • Muhammad Naeem
  • Saifullah Khan
  • Saleem Abdullah
  • Thongchi Botmart
  • Tajammul Shah

Abstract

Coronavirus disease 2019 (COVID‐19) is currently threatening the entire world, and a novel coronavirus is a virus from the corona family that has spread a new infection. The number of instances of this disease is increasing at an exponential, but there are now commercially accessible COVID‐19 vaccines. The weak symptoms of COVID‐19 disease, on the other hand, are treated with a variety of antiviral treatments. It is still choosing the optimal antiviral medicine to manage COVID‐19s. It is a challenging and difficult alternative to reduce the risk of infection. In this study, an improved combined compromise solution (CoCoSo) method is proposed to identify the ranking of alternatives. The introduction of a logarithmic picture fuzzy set is a more effective technique for representing variance, represented by three memberships (positive, neutral, and negative membership) degrees. This work introduces a fresh logarithmic picture fuzzy score function, to deal with the problem of comparison. The CoCoSo method‐based logarithmic picture fuzzy decision‐making algorithm is given. To achieve so, a new divergence measure for the logarithmic picture fuzzy number is introduced. To demonstrate the viability and efficacy of the established approach in real‐world applications, a case study of COVID‐19 disease drug selection is discussed.

Suggested Citation

  • Muhammad Qiyas & Muhammad Naeem & Saifullah Khan & Saleem Abdullah & Thongchi Botmart & Tajammul Shah, 2022. "Decision Support System Based on CoCoSo Method with the Picture Fuzzy Information," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:1476233
    DOI: 10.1155/2022/1476233
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    References listed on IDEAS

    as
    1. Saleem Abdullah & Saifullah Khan & Muhammad Qiyas & Ronnason Chinram & Lemnaouar Zedam, 2021. "A Novel Approach Based on Sine Trigonometric Picture Fuzzy Aggregation Operators and Their Application in Decision Support System," Journal of Mathematics, Hindawi, vol. 2021, pages 1-19, February.
    2. Zaoli Yang & Xin Li & Zehong Cao & Jinqiu Li, 2019. "Q-rung Orthopair Normal Fuzzy Aggregation Operators and Their Application in Multi-Attribute Decision-Making," Mathematics, MDPI, vol. 7(12), pages 1-26, November.
    3. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    4. Zanakis, Stelios H. & Solomon, Anthony & Wishart, Nicole & Dublish, Sandipa, 1998. "Multi-attribute decision making: A simulation comparison of select methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 507-529, June.
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