|International Computer Science and Engineering Society (ICSES)|
ICSES Transactions on Neural and Fuzzy Computing
Vol. 2, No. 2, Jun. 2019
Grey Multiple Criteria Decision Making Methods: A Literature Review | Review Article
Amin Mahmoudi a,, Saad Ahmed Javed b
Highlights and Novelties
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.
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.
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 (ITNFC), vol. 2, no. 2, pp. 1-13, Jun. 2019.
For External Scientific Databeses
Written by: Admin | Link ...