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Granular Computing
Published in: Granular Computing 3/2020

22-03-2019 | Original Paper

Group decision making under social influences based on information entropy

Authors: Shuli Liu, Bin Wang, Jing Liu

Published in: Granular Computing | Issue 3/2020

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Abstract

The group decision method is an important branch in the decision problems. A critical issue in group decision methods is how to determine the weights of the group members. To reduce the possible prejudice due to the social influences, we propose a novel group decision method under social influences based on information entropy. Firstly, the interaction degrees between the group members under social influences are determined. Secondly, the entropy of each expert from the decision group is computed. Then, according to the entropy, the weights of the experts can be determined. Finally, based on the evaluation matrix, the weighted values of the alternatives can be obtained and the alternatives are ranked. The decision steps are provided in detail and the practicality of the proposed method is illustrated through an example. The proposed decision method considers interactions between the group members, so that the possible biases due to the social influences can be reduced to some extent.
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Metadata
Title
Group decision making under social influences based on information entropy
Authors
Shuli Liu
Bin Wang
Jing Liu
Publication date
22-03-2019
Publisher
Springer International Publishing
Published in
Granular Computing / Issue 3/2020
Print ISSN: 2364-4966
Electronic ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-019-00159-5

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