A historical review and analysis on MOORA and its fuzzy extensions for different applications

Ramanpreet Singh; Vimal Kumar Pathak; Rakesh Kumar; Mithilesh Dikshit; Amit Aherwar; Vedant Singh; Tej Singh

doi:10.1016/j.heliyon.2024.e25453

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Heliyon. 2024 Feb 1;10(3):e25453. doi: 10.1016/j.heliyon.2024.e25453. eCollection 2024 Feb 15.

Authors

Ramanpreet Singh¹, Vimal Kumar Pathak¹, Rakesh Kumar¹, Mithilesh Dikshit², Amit Aherwar³, Vedant Singh⁴, Tej Singh⁵

Affiliations

¹ Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
² Department of Mechanical & Aero-Space Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad, Gujarat, 380026, India.
³ Department of Mechanical Engineering, Madhav Institute of Technology and Science, Gwalior, 474005, India.
⁴ Amrita School of Business, Amrita Vishwa Vidyapeetham, Bengaluru, 560035, India.
⁵ Savaria Institute of Technology, Faculty of Informatics, ELTE Eötvös Loránd University, Budapest 1117, Hungary.

Abstract

Multi-criteria decision-making (MCDM) methods have been widely used among researchers to provide a trade-off solution between best and worst, considering conflicting criteria and sets of preferences. An efficient and systematic literature review of these methods is needed to maintain their application in distinctive domains. To this end, this paper presents a comprehensive and systematic literature survey on "multi-objective optimization by ratio analysis" (MOORA) method and its fuzzy extensions developed and discussed in recent years. This review includes articles categorized based on the publication name, publishing year, journal name, type of applications, and type of fuzzy extensions. In addition, this review will enhance the understanding of practitioners and decision-makers on the MOORA method, its development, fuzzy hybridization, different application areas, and future work. The study revealed that the MOORA technique was predominantly used with the TOPSIS approach, followed by the AHP and COPRAS methods. Furthermore, 76.28 % use single and hybridization approaches among all MOORA studies, while 23.72 % use MOORA in a fuzzy environment.

Keywords: Decision making; Fuzzy hybridization; MOORA; Multi-objective optimization.