Decision methods based on Bonferroni mean operators and EDAS for the classifications of circular pythagorean fuzzy Meta-analysis

Meta-analysis is a statistical technique used to process an overall summary estimation, and the lovesense 3 technique of meta-analysis is mostly used in medicine, social science, and psychology.In this manuscript, we aimed to combine the techniques of the Bonferroni mean (BM) operator based on circular Pythagorean fuzzy (CPF) sets, called the CPF Bonferroni mean (CPFBM) operator, and CPF weighted Bonferroni mean (CPFWBM) operator and described their special cases with the help of two parameters, "s" and "t", and some describable properties of them are also proposed.Further, we present the evaluation technique based on distance from average solution (EDAS) technique and the proposed operators.Moreover, we use some examples to show the flexibility and dominance of the proposed operators by comparing the proposed methods better waters xl7000 with some existing techniques.