Group Decision-Making Model of Renal Cancer Surgery Options Using Entropy Fuzzy Element Aczel-Alsina Weighted Aggregation Operators under the Environment of Fuzzy Multi-Sets

Since existing selection methods of surgical treatment schemes renal cancer patients mainly depend on physicians’ clinical experience and judgments, the options lack their scientifical reasonable information expression group decision-making model for patients. Fuzzy multi-sets (FMSs) have a number properties, which make them suitable expressing uncertain medical diagnoses treatments in (GDM) problems. To choose most appropriate scheme patient with localized cell carcinoma (RCC) (T1 stage kidney tumor), this article needs to develop an effective GDM based fuzzy multivalued evaluation First, we propose conversion method transforming FMSs into entropy sets (EFSs) mean Shannon sequence FMS reasonably simplify operations define score function element (EFE) ranking EFEs. Second, present Aczel-Alsina t-norm t-conorm EFEs EFE weighted arithmetic averaging (EFEAAWAA) geometric (EFEAAWGA) operators. Third, multicriteria surgery setting FMSs. Finally, proposed is applied two cases best The selected results verify efficiency rationality