A q-Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection

Healthcare waste (HCW) management is an intricate issue upon which numerous factors, such as technical, economic, environmental, and social have impact. A determination on the best treatment method for HCW can be viewed a challenging multi-criteria decision-making (MCDM) problem in various options evaluation criteria are considered. One critical concern when assessing (HCWT) methods representation of dubious data. In this paper, we present q-rung orthopair fuzzy full consistency double normalization-based multi-aggregation methodology called q-ROF-FUCOM-DNMA to solve MCDM problems with information (q-ROFI). proposed approach, weights estimated through (FUCOM) ranking alternatives obtained double-normalization-based (DNMA) q-ROFI. HCWT assessment was considered order clarify relevance approach. Five methods, including chemical disinfection, microwave incineration, autoclaving (steam sterilization), reverse polymerization, were alternatives. The results show that sterilization) most efficient method. Furthermore, performed sensitivity analysis determine stability Additionally, compared presented approach existing methods.