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Landfill Site Selection for Medical Waste Using an Integrated SWARA-WASPAS Framework Based on Spherical Fuzzy Set

Author

Listed:
  • Saeid Jafarzadeh Ghoushchi

    (Faculty of Industrial Engineering, Urmia University of Technology, Urmia 57166, Iran)

  • Shabnam Rahnamay Bonab

    (Faculty of Industrial Engineering, Urmia University of Technology, Urmia 57166, Iran)

  • Ali Memarpour Ghiaci

    (Industrial Engineering Department, Malek Ashtar University of Technology, Tehran 15875, Iran)

  • Gholamreza Haseli

    (Department of Management, Faculty of Economic, Management and Social Science, Shiraz University, Shiraz 71345, Iran)

  • Hana Tomaskova

    (Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czech Republic)

  • Mostafa Hajiaghaei-Keshteli

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla 38115, Mexico)

Abstract

Selecting suitable locations for the disposal of medical waste is a serious matter. This study aims to propose a novel approach to selecting the optimal landfill for medical waste using Multi-Criteria Decision-Making (MCDM) methods. For better considerations of the uncertainty in choosing the optimal landfill, the MCDM methods are extended by spherical fuzzy sets (SFS). The identified criteria affecting the selection of the optimal location for landfilling medical waste include three categories; environmental, economic, and social. Moreover, the weights of the 13 criteria were computed by Spherical Fuzzy Step-Wise Weight Assessment Ratio Analysis (SFSWARA). In the next step, the alternatives were analyzed and ranked using Spherical Fuzzy Weighted Aggregated Sum Product Assessment (SFWASPAS). Finally, in order to show the accuracy and validity of the results, the proposed approach was compared with the IF-SWARA-WASPAS method. Examination of the results showed that in the IF environment the ranking is not complete, and the results of the proposed method are more reliable. Furthermore, ten scenarios were created by changing the weight of the criteria, and the results were compared with the proposed method. The overall results were similar to the SF-SWARA-WASPAS method.

Suggested Citation

  • Saeid Jafarzadeh Ghoushchi & Shabnam Rahnamay Bonab & Ali Memarpour Ghiaci & Gholamreza Haseli & Hana Tomaskova & Mostafa Hajiaghaei-Keshteli, 2021. "Landfill Site Selection for Medical Waste Using an Integrated SWARA-WASPAS Framework Based on Spherical Fuzzy Set," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13950-:d:704756
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    Citations

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    Cited by:

    1. Çelik, Sefa & Peker, İskender & Gök-Kısa, A. Cansu & Büyüközkan, Gülçin, 2023. "Multi-criteria evaluation of medical waste management process under intuitionistic fuzzy environment: A case study on hospitals in Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    2. Thi-Ly Nguyen & Phi-Hung Nguyen & Hong-Anh Pham & Thi-Giang Nguyen & Duc-Thinh Nguyen & Thi-Hoai Tran & Hong-Cham Le & Huong-Thuy Phung, 2022. "A Novel Integrating Data Envelopment Analysis and Spherical Fuzzy MCDM Approach for Sustainable Supplier Selection in Steel Industry," Mathematics, MDPI, vol. 10(11), pages 1-28, June.
    3. Youqing Lv & Guojian Ma & Juan Ding, 2022. "Evolutionary Game Analysis of Medical Waste Disposal in China under Different Reward and Penalty Models," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    4. Kasım Şimşek & Selçuk Alp, 2022. "Evaluation of Landfill Site Selection by Combining Fuzzy Tools in GIS-Based Multi-Criteria Decision Analysis: A Case Study in Diyarbakır, Turkey," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    5. Yang, Zhen & Dong, Xiaobin & Guo, Li, 2023. "Scenario inference model of urban metro system cascading failure under extreme rainfall conditions," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    6. Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    7. Saeid Jafarzadeh Ghoushchi & Mohd Nizam Ab Rahman & Moein Soltanzadeh & Muhammad Zeeshan Rafique & Hernadewita & Fatemeh Yadegar Marangalo & Ahmad Rasdan Ismail, 2023. "Assessing Sustainable Passenger Transportation Systems to Address Climate Change Based on MCDM Methods in an Uncertain Environment," Sustainability, MDPI, vol. 15(4), pages 1-22, February.

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