Open Access

ARTICLE

Assessment of the Solid Waste Disposal Method during COVID-19 Period Using the ELECTRE III Method in an Interval-Valued q-Rung Orthopair Fuzzy Approach

by Samayan Narayanamoorthy¹, Arumugam Anuja¹, J. V. Brainy¹, Thangaraj Manirathinam¹, Subramaniam Pragathi¹, Thirumalai Nallasivan Parthasarathy¹, Daekook Kang^2,*

1 Department of Mathematics, Bharathiar University, Coimbatore, 641 046, India
2 Department of Industrial and Management Engineering, Inje University, Gimhae, 50834, Korea

* Corresponding Author: Daekook Kang. Email:

Computer Modeling in Engineering & Sciences 2022, 131(3), 1229-1261. https://doi.org/10.32604/cmes.2022.019442

Received 24 September 2021; Accepted 08 December 2021; Issue published 19 April 2022

Abstract

As the quantity of garbage created every day rises, solid waste management has become the world’s most important issue. As a result, improper solid waste disposal and major sanitary issues develop, which are only detected after they have become dangerous. Due to the system’s lockdown during the COVID-19 pandemic, this scenario became much more uncertain. We are at the stage to develop and execute effective waste management procedures, as well as long-term policies and forward-thinking programmes that can work even in the most adverse of scenarios. We incorporate major solid waste (organic and inorganic solid wastes) approaches that actually perform well in normal cases byreducing waste and environmental disasters; however, in such an uncertain scenario like the COVID-19 pandemic, the project automatically allows for a larger number of criteria, all of which are dealt with using fuzzy Multi-Criteria Group Decision Making (MCGDM) methods. The ELECTRE III (ELimination Et Choice Translating REality-III) approach, which is a novel decision-making strategy for determining the best way to dispose and reduce garbage by combining traditional ELECTRE III with an interval-valued q-rung orthopair fuzzy set (IVq-ROFS), is described in detail in this article. To confirm the efficacy of the recommended model, a numerical explanation is provided, as well as sensitivity and comparative analyses. Obviously, the findings encourage decision-makers in authorities to deliberate about the proposals before creating solid waste management policies.

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