Healthcare Waste Disposal Method Selection in the Era of COVID-19: A Novel Spherical Fuzzy CRITIC TOPSIS Approach

Abstract

Healthcare waste disposal method selection is among the most important decisions that must be made by healthcare organizations, particularly in light of the COVID-19 pandemic issue. Such a problem has a number of contradictory criteria and alternatives, and decision experts may have considerable uncertainty while evaluating the problem. In this paper, a new fuzzy multi-criteria decision-making (MCDM) methodology is provided for evaluating the healthcare waste disposal method selection problem. The CRiteria Importance Through Intercriteria Correlation (CRITIC) is used for obtaining criterion weights in an objective manner, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking the predetermined alternatives. For modeling the uncertainty in the nature of the problem, the proposed methodology is developed in a three-dimensional spherical fuzzy atmosphere. The step-by-step solution of the proposed methodology is followed by a sensitivity analysis. This study contributes to the work of both academics and practitioners in the healthcare industry, as well as other sectors facing similar types of problems.