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Strategic Multi-criteria Decision-Making Against Pandemics Using Picture and Spherical Fuzzy AHP and TOPSIS

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New Perspectives in Operations Research and Management Science

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 326))

Abstract

With the coronavirus that emerged suddenly and affected the masses, it became clear how unprepared we were for the pandemic situation both individually and at the state level. Over the past period, many different transmission prevention strategies have been implemented in different countries, and their results have been observed. Unfortunately, a complete preventive strategy has not yet been developed, and the disease continues to spread. There is a long and arduous process ahead of us in the fight against coronavirus. In order to better manage this process, this study aims to compare the strategic decisions to be taken by the states, especially during the periods when the disease spreads. The intervention strategies have a strong impact on economics, social life, health systems, and environment. As a result of intervention methods, the income of individuals, health sector, tourism sector and companies are affected economically. Yet, modeling strategic decisions under pandemic conditions is complicated since multiple factors should be considered. The uncertainties and imprecision in the evaluation process increase the complexity of the decision-making process. In this study, the decision-making procedure criteria are defined using multi-criteria decision-making methods, and the alternative strategies are compared using TOPSIS method. Picture fuzzy sets and spherical fuzzy sets are used to handle uncertainty in the decision-making process, and the results are compared. These two methods are compared based on the results and the applicability.

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Authors and Affiliations

  1. Industrial Engineering Department, Istanbul Technical University, Macka, Istanbul, Turkey

    Cengiz Kahraman, Irem Ucal Sari & Sezi Çevik Onar

Authors
  1. Cengiz Kahraman
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  2. Irem Ucal Sari
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  3. Sezi Çevik Onar
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Corresponding author

Correspondence to Cengiz Kahraman .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Macka, Turkey

    Y. Ilker Topcu

  2. Department of Industrial Engineering, İstanbul University-Cerrahpaşa, Avcılar, Turkey

    Şule Önsel Ekici

  3. Department of Industrial Engineering, Istanbul Technical University, Macka, Turkey

    Özgür Kabak

  4. School of Management, Cranfield University, Cranfield, UK

    Emel Aktas

  5. Department of Industrial Engineering, DoÄŸuÅŸ University, Dudullu, Turkey

    Özay Özaydın

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Kahraman, C., Ucal Sari, I., Çevik Onar, S. (2022). Strategic Multi-criteria Decision-Making Against Pandemics Using Picture and Spherical Fuzzy AHP and TOPSIS. In: Topcu, Y.I., Önsel Ekici, Ş., Kabak, Ö., Aktas, E., Özaydın, Ö. (eds) New Perspectives in Operations Research and Management Science. International Series in Operations Research & Management Science, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-91851-4_15

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