Assessing Medical Waste Treatment Technique based on Hyperbolic fuzzy EMSWARA with COPRAS and ARAS Approaches

Abstract

Medical Waste Treatment Techniques (MWTT) have become a significant concern due to the imminent risks they
pose to human health and the environment. Proper and secure treatment and disposal of toxic and harmful medical
waste are essential and various MWTT options are available to achieve this. The selection of the ideal MWT option
is a complex and crucial Multi Criteria Decision Making (MCDM) problem as the decision is influenced by several
factors both qualitative and quantitative aspects. This study presents a hybrid MCDM method for analyzing and
opting the MWT options within a Hyperbolic fuzzy framework. The Hyperbolic Fuzzy Set (HyFS) is an advanced
tool that addresses uncertainty with greater precision, providing more flexibility for the decision makers. An entropy
measure and a score function have been introduced in a hyperbolic fuzzy environment. Objective weights are
evaluated using the entropy measure while subjective weights are assessed through the Stepwise Weight Assessment
Ratio Analysis (SWARA) model. Consequently, a pioneering hybrid MCDM approach is presented combining
HyF-EM-SWARA with Complex Proportional Assessment (COPRAS) and Additive Ratio Assessment (ARAS)
techniques to identify the optimal MWT option in India. Furthermore, relative evaluations and variability analysis
are presented to demonstrate the stability and reliability of the proposed hybrid MCDM methods for ranking the
preferences of MWTT.