A New Pythagorean Fuzzy Based Decision Framework for Assessing Healthcare Waste Treatment

Suitable management and treatment of healthcare waste (HCW) have become a key issue due to its potential risk human health the environment, predominantly in emerging nations. The selection an optimal HCW (HCWT) option is complicated multicriteria decision-making (MCDM) problem that includes several incompatible qualitative quantitative attributes. This article presents extended MCDM methodology for assessing choosing HCWT options using Pythagorean fuzzy stepwise weight assessment ratio analysis (PF-SWARA) additive (PF-ARAS) approaches. To do this, attribute weights are estimated by SWARA model ARAS framework decides preference order on sets (PFSs). Furthermore, India presented within PFSs illustrate efficiency practicality introduced framework. Comparative discussions sensitivity demonstrate rationality stability developed approach prioritizing options.