Results 231 to 240 of about 672,665 (262)
Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility. [PDF]
J NeurosciLeach SC, Hollow H, Jiang J, Hwang K.
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Chaotic Itinerancy in Collective Behaviour Emerging from Active Inference: A Multi-Agent Model of Trust and Empowerment Dynamics in Theatre Workshops. [PDF]
Entropy (Basel)Miyano S, Shiono T.
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Information-Driven Rule Reduction in Belief Rule Bases for Complex System Modeling. [PDF]
Entropy (Basel)Liu X, Huang H, Li Y, Xia Z, Zhao S.
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A Generalized Belief Entropy With Nonspecificity and Structural Conflict
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022 The Dempster-Shafer (D-S) evidence theory has been widely used in many fields from probabilistic inference, information fusion to decision analysis due to its superiority to formulate uncertain and incomplete information under a weaker condition than the Bayesian probability theory.
Mi Zhou +4 more
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Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy
Information Fusion, 2019Abstract Multi-sensor data fusion technology plays an important role in real applications. Because of the flexibility and effectiveness in modeling and processing the uncertain information regardless of prior probabilities, Dempster–Shafer evidence theory is widely applied in a variety of fields of information fusion.
Fuyuan Xiao
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On properties of a new decomposable entropy of Dempster-Shafer belief functions
International Journal of Approximate Reasoning, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Prakash P. Shenoy, Radim Jirousek
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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 Jirousek +2 more
openaire +3 more sources