Application of Generalized Fuzzy TOPSIS in Decision Making for Neutrosophic Soft Set to Predict the Champion of FIFA 2018: A Mathematical Analysis

Abstract

Predicting the outcomes of soccer matches is curious to numerous; from fans to supporters. Prediction about the outcomes of soccer matches is also very exciting and enticing as a research problem, especially due to its complications, exertion, unexpected inferences etc. Consequently, a soccer match is relying upon various factors, actors and unpredictable situations. Therefore, it is very agonizing and uphill task to predict the meticulous and close to truth-based results of soccer matches. Such a research demands a multi-criteria decision-making approach, i.e. TOPSIS, to foresee accurate ranking and applied to the fallouts of FIFA 2018 world cup soccer matches explicitly. The match statistics have been used up to quarter finals, to make better estimates for the impending games. Outcomes proved prediction of approximately right ranking and outcomes of matches are substantially higher than those of reported through other means.