Stock portfolio selection using a new decision-making approach based on the integration of fuzzy CoCoSo with Heronian mean operator

The main objective of stock portfolio selection is to distribute capital selected stocks get the most profitable returns at a lower risk. performance depends on number criteria based risk-return measures. Therefore, shares subject fulfilling criteria. In this paper, we have adopted an integrated approach two-stage framework. First, heronian mean operator (improved generalized weighted and improved geometric mean) combined with traditional Combined compromise solution (CoCoSo) method present new decision-making model for dealing problem. Second, Base-criterion used calculate relative optimal weights specified decision Despite uncertainties, advanced CoCoSo-H eliminates efficacy anomalous data make complex-decisions more flexible. A case study under National exchange (NSE) discussed validate applicability proposed model. Different () been constructed using Particle swarm optimization (PSO). outcome shows prominence stability when compare previous studies.