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
Author Information
  1. Ramanpreet Singh: Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
  2. Vimal Kumar Pathak: Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
  3. Rakesh Kumar: Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
  4. Mithilesh Dikshit: Department of Mechanical & Aero-Space Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad, Gujarat, 380026, India.
  5. Amit Aherwar: Department of Mechanical Engineering, Madhav Institute of Technology and Science, Gwalior, 474005, India.
  6. Vedant Singh: Amrita School of Business, Amrita Vishwa Vidyapeetham, Bengaluru, 560035, India.
  7. Tej Singh: 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

References

  1. Heliyon. 2021 Nov 15;7(11):e08406 [PMID: 34841112]
  2. Heliyon. 2022 May 03;8(5):e09361 [PMID: 35574203]
  3. Results Phys. 2022 Jul;38:105613 [PMID: 35600673]
  4. Comput Methods Programs Biomed. 2021 Sep;209:106348 [PMID: 34391998]
  5. Heliyon. 2023 Mar 21;9(3):e14721 [PMID: 37101491]
  6. Heliyon. 2023 Jan 21;9(2):e13134 [PMID: 36747552]
  7. J Med Syst. 2019 Jan 10;43(2):38 [PMID: 30627801]
  8. Heliyon. 2023 Oct 24;9(11):e21261 [PMID: 37954357]
  9. Heliyon. 2023 May 27;9(6):e16726 [PMID: 37292298]
  10. Int J Environ Res Public Health. 2019 Sep 07;16(18): [PMID: 31500288]
  11. Environ Sci Pollut Res Int. 2017 Jul;24(19):15863-15869 [PMID: 28013466]
  12. Heliyon. 2023 Mar 07;9(3):e14244 [PMID: 36925518]
  13. Environ Res. 2020 Jun;185:109348 [PMID: 32278923]
  14. J Safety Res. 2019 Dec;71:111-123 [PMID: 31862022]
  15. Heliyon. 2022 Dec 06;8(12):e12249 [PMID: 36531646]
  16. Heliyon. 2022 Mar 09;8(3):e09062 [PMID: 35284675]
  17. Heliyon. 2023 Sep 29;9(10):e20553 [PMID: 37822638]
  18. PLoS One. 2021 Jul 6;16(7):e0253965 [PMID: 34228755]
  19. Heliyon. 2023 May 09;9(5):e15975 [PMID: 37229167]
  20. J Healthc Eng. 2021 Mar 8;2021:6658538 [PMID: 33968354]
  21. Heliyon. 2023 Jul 18;9(7):e18371 [PMID: 37539304]
  22. Heliyon. 2023 Dec 05;10(1):e23236 [PMID: 38163177]
  23. Heliyon. 2023 Jun 24;9(6):e17616 [PMID: 37408881]
  24. Eval Program Plann. 2016 Oct;58:125-140 [PMID: 27371786]
  25. Heliyon. 2023 Oct 20;9(11):e21187 [PMID: 37928046]
  26. Heliyon. 2022 Aug 23;8(8):e10274 [PMID: 36061036]
  27. Heliyon. 2023 Oct 13;9(10):e20961 [PMID: 37886745]
  28. Heliyon. 2023 Jun 01;9(6):e16816 [PMID: 37484341]

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