A Comparative Study between GLP and GBWM

Abstract

When decision-makers’ judgments are uncertain, they often express their opinions using grey linguistic variables. Once used, the data often retains its grey nature throughout all subsequent decision-making iterations. Multicriteria decision-making (MCDM) is a tool used when making complicated decisions and in circumstances where several criteria require evaluation to choose the most desirable option. Grey data serves as the basis for several MCDM methods. This paper compares two MCDM methods, Grey-Linear-Programming (GLP) and Grey-Best-Worst-Method (GBWM), in terms of the weights of decision criteria and their rankings. Moreover, Grey-The Technique for Order of Preference by Similarity to Ideal Solution (GTOPSIS) was used to rank the weights of the two methods. Study findings demonstrated that GBWM requires more mathematical calculations than GLP, based on linear programming's classic simplex method. On the other hand, when GTOPSIS follows GLP, the alternative rank does not change compared to when GTOPSIS followed GBWM. For the applications used in this comparison, GLP procedure is considered simpler than GBWM procedure.

Two New Approaches (RAMS‐RATMI) in Multi‐Criteria Decision‐Making Tactics

“…Different aspects denote the progression of the multi-criteria decision-making (MCDM) technique from old to new methods. MCDM is a tool that can be used to support decision-making in different spheres of business and science [1]. The use of MCDM facilitates the selection process and ensures that the decision will be based on reliable solutions as it generates progressive solutions to a variety of decisions.…”