GENERALIZED Z-FUZZY SOFT Β-COVERING BASED ROUGH MATRICES AND ITS APPLICATION TO MAGDM PROBLEM BASED ON AHP METHOD

Abstract

Fuzzy sets, rough sets and soft sets are different mathematical tools mainly developed to deal with uncertainty. The combination of these theories has a wide range of applications in decision analysis. In this paper, we defined a generalized Z-fuzzy soft β-covering-based rough matrices. Some algebraic properties are explored for this newly constructed matrix. The main aim of this paper is to propose a novel MAGDM model using generalized Z-fuzzy soft βcovering-based rough matrices. A MAGDM algorithm based on AHP method is created to recruit the best candidate for an assistant professor job in an institute and a numerical example is presented to demonstrate the created method.