Fuzzy Quadripartitioned Neutrosophic Soft Matrix Theory and Its Decision-Making Approach

Abstract

Earlier several fuzzy oriented matrix theories have been proposed by the researchers to model uncertainty for real-world decision-making (DM). Among them, fuzzy neutrosophic soft matrix (FNSM) theory has been developed recently by combining the fuzzy neutrosophic set and soft set to handle the indeterminate information parametrically. The main purpose to represent this paper is to introduce the notion of fuzzy quadripartitioned neutrosophic soft matrix (FQNSM) theory to generalize the FNSM concept. Moreover, several properties and matrix operations on fuzzy quadripartitioned neutrosophic soft sets are investigated with appropriate examples. Finally, a DM model based on FQNSMs has been developed and thus validated by showing an application to real problems.

Received: 1 January 2022 | Revised: 11 February 2022 | Accepted: 17 February 2022

Conflicts of Interest

The author declares that he has no conflicts of interest to this work.