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1994
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(1994): A robust continuous model for evidential reasoning. In: Journal of Intelligent & Robotic Systems 10 (2), S. 147-171. DOI: 10.1007/BF01258226
DOI: https://doi.org/10.1007/BF01258226 Abstract: Proposes a 2-D model for evidential reasoning in which the belief function of evidence is represented as a belief density function that can be in a continuous or discrete form. The theory of the model is applied to establish a procedure for handling belief conjunction, belief combination, belief propagation procedures, and AND/OR operations. Examples are provided showing the advantages of this model over conventional methods. It is concluded that this method is intuitively closer to the human reasoning process. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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