Comparison of fuzzy MCDM approaches in the elevator selection problem

Abstract

Considering a part of the problem in the domain of vertical transport, and above all elevators, it is noticeable that there are a large number of technically feasible alternatives in most cases. The designer's task is to choose from a set of possible solutions that best match the technical and economic conditions defined by the project task. The design and appropriate MCDM technique determine the quality of the recommended decision, saving computational time without sacrificing quality in the final ranking of alternatives. The task is to choose solutions that best match the technical and economic conditions. Therefore, selecting an adequate elevator is a problem that requires the manipulation of a large number of different data and, at the same time, the inclusion of a significant number of relevant criteria and goals that can often conflict. Fuzzy logic has proven excellent in models where intuition and judgment are primary elements. This paper aims to present a systematic overview of the developed fuzzy MCDM techniques. By ranking and comparative analysis of the results, this research represents an attempt to choose a method to support decision-making and create a comprehensive tool in the elevator selection process.