Enhancing Medical Waste Management Using T-Spherical Fuzzy CRITIC-MAUT Methodology
Jafar Anafi, Ali Aslam Khan, Keles Dong
Abstract
In addressing the pivotal challenge of mitigating environmental and health concerns in medical waste management (MWM), this study introduces a novel, integrated multi-criteria decision-making (MCDM) framework employing T-spherical fuzzy sets (T-SFS) within the ambit of the Criteria Importance Through Inter-criteria Correlation-Multi-Attribute Utility Theory (CRITIC-MAUT) technique. Central to this approach is the deployment of T-SFS for expert evaluation of various treatment technologies, thereby refining the decision-making matrix with enhanced precision. The CRITIC method is adeptly utilized for the determination of weights for each criterion, thereby augmenting the accuracy of the decision-making process. An empirical case study conducted in China serves to validate the approach, evaluating five healthcare waste (HCW) treatment methods against a set of eight criteria. The culmination of this process is achieved through the application of the MAUT approach, facilitating the selection of the most suitable technology. Comparative analysis with extant MCDM methodologies underscores the robustness and reliability of the proposed approach, highlighting its distinct advantage in yielding conclusive results for optimal HCW treatment technology selection. This research not only contributes a novel methodology to the MWM domain but also establishes a comprehensive framework adept at navigating the intricacies inherent in the decision-making process for HCW treatment technologies.