Topological Data Analysis of m-Polar Spherical Fuzzy Information with LAM and SIR Models

The concept of m-polar spherical fuzzy sets (mPSFS) is a combination (mPFS) and (SFS). An mPSFS an optimal strategy for addressing multipolarity fuzziness in terms ordered triples positive membership grades (PMGs), negative (NMGs), neutral (NGs). In this study, the innovative topology (mPSF-topology) proposed data analysis information aggregation. We look into characteristics results mPSF-topology with help several examples. Topological structures on mPSFSs both development new artificial intelligence (AI) tools different domain strategies study kinds uncertainty everyday life problems. These make it possible to recognise situation early on, which helps professionals reduce certain risks. order address various group decision-making issues domain, one suggestion has been apply extended linear assignment model (LAM) along SIR method known as superiority inferiority ranking methodology analyze road accident dispute resolution. addition, we examine symmetry decision perform comparative between research carried out using suggested existing methods.