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Entropy for evaluation of Dempster-Shafer belief function models
International Journal of Approximate Reasoning, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radim Jiroušek +2 more
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Monotonicity of Entropy Computations in Belief Functions
Intelligent Data Analysis, 1997This article addresses the issue of quantitative information measurement within the Dempster–Shafer belief function formalism. Entropy computation in Dempster–Shafer depends on the way uncertainty measures are conceptualized. However, freed of most probability constraints, uncertainty measures in Dempster–Shafer theory can lead to further advances in ...
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CALCULATING MAXIMUM-ENTROPY PROBABILITY DENSITIES FOR BELIEF FUNCTIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1994A common procedure for selecting a particular density from a given class of densities is to choose one with maximum entropy. The problem addressed here is this. Let S be a finite set and let B be a belief function on 2S. Then B induces a density on 2S, which in turn induces a host of densities on S.
AARON MEYEROWITZ +2 more
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2021 33rd Chinese Control and Decision Conference (CCDC), 2021
Huizi Cui, Bingyi Kang
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Huizi Cui, Bingyi Kang
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The generalized maximum belief entropy model
Soft Computing, 2022Siran Li, Rui Cai
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Belief Entropy-based Uncertainty Analysis
2022 3rd International Conference on Computer Science and Management Technology (ICCSMT), 2022Zhihui Wang +5 more
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Cross-Entropy and Relative Entropy of Basic Belief Assignments
2023 26th International Conference on Information Fusion (FUSION), 2023Jean Dezert, Frédéric Dambreville
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Conditional plausibility entropy of belief functions based on Dempster conditioning
Information ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xinyang Deng, Wen Jiang, Xiaoge Zhang
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EFMCDM: Evidential fuzzy multicriteria decision making based on belief entropy
IEEE Transactions on Fuzzy Systems, 2019Multicriteria decision making (MCDM) has become one of the most frequently applied decision making methodologies in various fields. However, uncertainty is inevitably involved in the process of MCDM due to the subjectivity of humans. To address this issue, a novel evidential fuzzy MCDM method, called EFMCDM, is proposed by integrating Dempster–Shafer ...
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