Journal
INFORMATICA
Volume 31, Issue 2, Pages 331-357Publisher
INST MATHEMATICS & INFORMATICS
DOI: 10.15388/20-INFOR409
Keywords
grey best-worst method; grey group best-worst method; multiple experts multiple criteria decision making; grey system theory; pairwise comparison
Funding
- National Natural Science Foundation of China [NSFC71771052, 71372199]
Ask authors/readers for more resources
In practice, the judgments of decision-makers are often uncertain and thus cannot be represented by accurate values. In this study, the opinions of decision-makers are collected based on grey linguistic variables and the data retains the grey nature throughout all the decision-making process. A grey best-worst method (GBWM) is developed for multiple experts multiple criteria decision-making problems that can employ grey linguistic variables as input data to cover uncertainty. An example is solved by the GBWM and then a sensitivity analysis is done to show the robustness of the method. Comparative analyses verify the validity and advantages of the GBWM.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available