Decision-making methods based on fuzzy soft competition hypergraphs

Abstract Fuzzy soft set theory is an effective framework that utilized to determine the uncertainty and plays a major role identify vague objects in parametric manner. The existing methods discuss competitive relations among have some limitations due existence of different types uncertainties single mathematical structure. In this research article, we define novel fuzzy hypergraphs export qualities sets hypergraphs. effectiveness competition enhanced with notion We study certain illustrate directed network using concepts height, depth, union, intersection simultaneously. introduce notions k -competition neighborhood design algorithms compute strength graphs reduce calculation complexity fuzzy-based non-parameterized models. analyze significance our proposed decision-making problem. Finally, present graphical, numerical, as well theoretical comparison analysis endorse applicability advantages approach.