Entropy Based Approach to Measuring Consensus in Group Decision-Making Problems
Date
2022-08-30
Advisors
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
Springer
Type
Book chapter
Peer reviewed
Yes
Abstract
Entropy is a measure of randomness in a given set of data. An entropy measure could be appropriately used to assess consensus across a set of opinions. A Theil-based index is introduced in this paper to obtain the level of consensus in some problems of Group Decision Making. A comparative analysis reveals that the levels of consensus derived from this index are relatively similar to those obtained by using distance functions when a fuzzy preference relations frame is considered. This behavior suggests that this could be a useful tool in the aforementioned context.
Description
Keywords
Group decision making, Fuzzy preferences, Consensus, Entropy, Theil index, Distance functions
Citation
Tapia, J.M., Chiclana, F., del Moral, M.J., Herrera–Viedma, E. (2022). Entropy Based Approach to Measuring Consensus in Group Decision-Making Problems. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. IEA/AIE 2022. Lecture Notes in Computer Science, 13343. Springer