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ICSES Transactions on Neural and Fuzzy Computing
Vol. 2, No. 2, Jun. 2019
Grey Multiple Criteria Decision Making Methods: A Literature Review | Review Article
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a Southeast University, Nanjing, China
b College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China, Nanjing, China
Dr. Amin Mahmoudi
 orcid.org/0000-0001-7091-5044
 Corresponding Author
 Affiliation: Southeast University, Nanjing, China
 Tel: +989390861678
 E-mail: pmp.mahmoudi@gmail.com
2nd e-mail: pmp.mahmoudi@gmail.com  Webpage: https://scholar.google.com/citations?hl=en&user=Hv3Wk0IAAAAJ
 Biography: Amin Mahmoudi has received B.S. and M.S. degrees in Industrial Engineering from the Department of Industrial Engineering, Islamic Azad University, Iran. He has chosen as the best researcher in 2019 and has published several papers is various journals by leading brands like Emerald Insight, John Wiley, Elsevier, Springer and so on. He authored two books entitled ‘A Practical Guide to Microsoft Projects 2013’ and ‘Project Time Management (CPM-PERT-CC-ECM)’, which were published in 2013 and 2016. His areas of interest include multiple criteria decision making, mathematical modeling, project management, Fuzzy systems, and Grey data analysis.
Dr. Amin Mahmoudi's publications in ICSES
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
Highlights and Novelties
1- Grey System Theory is one of the essential approaches to consider uncertainty in multiple criteria decision making problems.
2- Grey relational analysis is the most well-known method among grey multiple criteria decision making methods.
3- Grey pairwise comparisons based and distance-based methods are more likely to experience an increasing trend for years ahead as compared to grey outranking methods.
Manuscript Abstract
Nowadays decision making has a wide application in management, business, and engineering majors, thus several multiple criteria/attributes decision making (MCDM) methods have been directed by researchers to sort optimal decisions. These methods can be categorized into: outranking based, distance based, and pairwise comparisons based methods. On the other hand, due to the fact that there is uncertainty in the input data in a real-world situation, the approaches capable of handling uncertainties are encouraged to be employed to overcome the hesitancy in MCDM methods. Grey System Theory is one of the essential approaches to consider uncertainty because it is known to show a noteworthy performance when the input data is incomplete or partially known. Hence, the present study is a humble effort directed at executing a short review on grey MCDM methods based on the data from 2000 and 2018, a period of 19 years. Moreover, we have presented an analysis in this area based on the number of studies, available through the Google Scholar and Science Direct databases. Finally, the study identifies the most popular and least popular methods and thus guides future scholars in their choice of selecting models.
Keywords
Grey system theory Multiple criteria decision making Uncertainty
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
Cite this manuscript as
Amin Mahmoudi, Saad Ahmed Javed, "Grey Multiple Criteria Decision Making Methods: A Literature Review," ICSES Transactions on Neural and Fuzzy Computing, vol. 2, no. 2, pp. 1-13, Jun. 2019.
For External Scientific Databeses
--BibTex--
@article{al._279
title="Grey Multiple Criteria Decision Making Methods: A Literature Review",
author="Amin Mahmoudi",
author="Saad Ahmed Javed",
journal="ICSES Transactions on Neural and Fuzzy Computing (ITNFC)",
volume="2",
number="2",
pages="1-13",
year="2019",
month="06",
day="30",
publisher= "International Computer Science and Engineering Society (ICSES)",
doi="",
url="http://www.i-cses.com/files/download.php?pID=279"}
--EndNote--
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%T Grey Multiple Criteria Decision Making Methods: A Literature Review
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%A Saad Ahmed Javed
%J ICSES Transactions on Neural and Fuzzy Computing (ITNFC)
%V 2
%N 2
%P 1-13
%D 2019
%I International Computer Science and Engineering Society (ICSES)
%U http://www.i-cses.com/files/download.php?pID=279
%8 2019-06-30
%R
%@ 2717-0055
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