Cotton Fabric Selection Using a Grey Fuzzy Relational Analysis Approach

Abstract

A multi-criteria decision-making (MCDM) problem usually deals with selection of the best course of action or alternative in the presence of a set of conflicting criteria. Cotton fabric selection to meet some specific end requirements is also a typical MCDM problem. In this paper, an MCDM technique in the form of grey relational analysis is combined with fuzzy logic to solve two cotton fabric selection problems. The derived rankings of the candidate alternatives have a high degree of congruence with those obtained while applying other popular MCDM tools. It thus proves the application potentiality of this combined approach to solve such decision-making problems when there are ambiguities in the measured data, and incomplete or qualitative information.