Pythagorean fuzzy entropy measure-based complex proportional assessment technique for solving multi-criteria healthcare waste treatment problem

With the increasing risk to human health and environmental issues, selection of appropriate management treatment healthcare waste has become a major problem, especially in developing countries. There are various alternatives dispose care waste. The important is assess best alternative among them. assessment each should be done based on public health, psychological, economic, environmental, technological, operational aspect. (HCWT) complicated, multi-criteria decision-making (MCDM) problem involving numerous disparate qualitative quantitative features. Hence, this research article, MCDM method presented for estimating choosing HCWT by COPRAS technique Pythagorean fuzzy set (PFS). Here, paper, first all, new entropy measure PFSs proposed its validity studied. Thereafter, Complex Proportional Assessment (COPRAS) discussed which criteria weights assessed score function enhance an efficacy efficiency technique. Furthermore, above-defined employed resolve real-life obtain disposal Finally, sensitivity analysis rationale viewpoint prioritizing alternatives.