Singh Ramanpreet, Pathak Vimal Kumar, Kumar Rakesh, Dikshit Mithilesh, Aherwar Amit, Singh Vedant, Singh Tej
Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
Department of Mechanical & Aero-Space Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad, Gujarat, 380026, India.
Heliyon. 2024 Feb 1;10(3):e25453. doi: 10.1016/j.heliyon.2024.e25453. eCollection 2024 Feb 15.
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.
多准则决策(MCDM)方法已在研究人员中广泛使用,用于在考虑相互冲突的准则和偏好集的情况下,提供最佳与最差之间的权衡解决方案。需要对这些方法进行高效且系统的文献综述,以维持它们在不同领域的应用。为此,本文对近年来开发和讨论的“基于比率分析的多目标优化”(MOORA)方法及其模糊扩展进行了全面而系统的文献调查。该综述包括根据出版物名称、出版年份、期刊名称、应用类型和模糊扩展类型分类的文章。此外,本综述将增进从业者和决策者对MOORA方法、其发展、模糊混合、不同应用领域以及未来工作的理解。研究表明,MOORA技术主要与TOPSIS方法一起使用,其次是AHP和COPRAS方法。此外,在所有MOORA研究中,76.28%使用单一和混合方法,而23.72%在模糊环境中使用MOORA。