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- Title
Information entropy risk measure applied to large group decision-making method.
- Authors
Xu, Xuan-hua; Luo, Xintong
- Abstract
Based on specially significant emergencies, as Tianjin Port, " 8 · 12 " large fire and explosion accidents and other practical cases, we have a scientific modeling for decision-making process and identify the risk that complex large group decision-makers' preference differences lead to in the process. We propose a new risk measure combined with information entropy theory to measure risk in clustering. Risk due to the complexity of appetite caused in the decision-making process is quantificationally computed, and the size of the risk helps determine the results of the final preference information assembly, whereby the program order. Finally, numerical example illustrates the effectiveness of the method.
- Subjects
GROUP decision making; INFORMATION measurement; ENTROPY (Information theory); FIRE
- Publication
Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2019, Vol 23, Issue 13, p4987
- ISSN
1432-7643
- Publication type
Article
- DOI
10.1007/s00500-018-3162-5