A consensus-based Fermatean fuzzy WASPAS methodology for selection of healthcare waste treatment technology selection
نویسندگان
چکیده
Healthcare waste (HCW) management is a complex issue influenced by many factors, including technological, economic, environmental, and social factors. It possible to regard the evaluation of best treatment technique for HCW as challenging case MCDM (multi-criteria decision-making), where various alternatives criteria must be considered. The presentation handling shaky data are crucial choosing technology. In order address issues with Fermatean fuzzy (FF) data, we first build consensus-based WASPAS approach in this study. suggested integrated methodology, rank determined using method an FF environment, attribute weights estimated entropy measure technique. preceding, technology assessment considered make proposed structure's applicability more transparent. study, four methods—chemical disinfection, microwave cremation, autoclaving—are options. According study's findings, autoclaving most effective method. Additionally, demonstrate sensitivity several weight sets test stability our intriguing approach. We also call attention contrast between decision-making practices now use.
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ژورنال
عنوان ژورنال: Decision Making
سال: 2023
ISSN: ['2560-6018', '2620-0104']
DOI: https://doi.org/10.31181/dmame622023621