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Decision making based on imprecise probabilities and aggregation of information sources
A. G. Bronevicha, I. N. Rozenbergb a Research and Design Institute of Information, Automation, and Communication, Moscow
b Russian University of Transport, Moscow
Abstract:
In the paper, we consider and develop modern approaches to uncertainty modelling based on imprecise probabilities and belief functions using information from different sources.
Keywords:
belief functions, generalized credal sets, conflict and contradiction of information sources.
Received: 29.06.2022 Revised: 12.09.2022
Citation:
A. G. Bronevich, I. N. Rozenberg, “Decision making based on imprecise probabilities and aggregation of information sources”, Fuzzy Systems and Soft Computing, 18:1 (2023), 5–27
Linking options:
https://www.mathnet.ru/eng/fssc95 https://www.mathnet.ru/eng/fssc/v18/i1/p5
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| Statistics & downloads: |
| Abstract page: | 410 | | Full-text PDF : | 229 | | References: | 162 |
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