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A q -Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection

Author

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  • Abhijit Saha

    (Department of Mathematics, Techno College of Engineering Agartala, Agartala 799004, India)

  • Arunodaya Raj Mishra

    (Department of Mathematics, Government College Raigaon, Satna 485441, India)

  • Pratibha Rani

    (Department of Mathematics, Rajiv Gandhi National Institute of Youth Development, Sriperumbudur 602105, India)

  • Ibrahim M. Hezam

    (Department of Statistics & Operations Research, College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia)

  • Fausto Cavallaro

    (Department of Economics, University of Molise, 86100 Campobasso, Italy)

Abstract

Healthcare waste (HCW) management is an intricate issue upon which numerous factors, such as technical, economic, environmental, and social factors, have an impact. A determination on the best treatment method for HCW management can be viewed as a challenging multi-criteria decision-making (MCDM) problem in which various options and evaluation criteria are considered. One critical concern when assessing HCW treatment (HCWT) methods is the representation and treatment of dubious data. In this paper, we present a q -rung orthopair fuzzy full consistency method double normalization-based multi-aggregation methodology called q -ROF-FUCOM-DNMA to solve MCDM problems with q -rung orthopair fuzzy information ( q -ROFI). In the proposed approach, criteria weights are estimated through the full consistency method (FUCOM) and a ranking of the alternatives is obtained through the double-normalization-based multi-aggregation (DNMA) method with q -ROFI. A HCWT method assessment issue was considered in order to clarify the relevance of the proposed approach. Five HCWT methods, including chemical disinfection, microwave disinfection, incineration, autoclaving (steam sterilization), and reverse polymerization, were considered as alternatives. The results show that autoclaving (steam sterilization) is the most efficient HCWT method. Furthermore, we performed a sensitivity analysis to determine the stability of the proposed approach. Additionally, we compared the presented approach with existing methods.

Suggested Citation

  • Abhijit Saha & Arunodaya Raj Mishra & Pratibha Rani & Ibrahim M. Hezam & Fausto Cavallaro, 2022. "A q -Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection," Sustainability, MDPI, vol. 14(7), pages 1-28, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4171-:d:784406
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    References listed on IDEAS

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