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

Saeid Jafarzadeh Ghoushchi, Shabnam Rahnamay Bonab, Ali Memarpour Ghiaci, Gholamreza Haseli, Hana Tomaskova and Mostafa Hajiaghaei-Keshteli
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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

Sustainability, 2021, vol. 13, issue 24, 1-19

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.

Keywords: MCDM; medical waste; SWARA; WASPAS; spherical fuzzy sets (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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