Non-Destructive Sample Generation From Conditional Belief Functions

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May 25, 2020
Mieczysław A. Kłopotek
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This paper presents a new approach to generate samples from conditional belief functions for a restricted but non trivial subset of conditional belief functions. It assumes the factorization (decomposition) of a belief function along a bayesian network structure. It applies general conditional belief functions.

* [in:]: Z. Bubnicki, A. Grzech eds: Proc. 13th International Conference on Systems Science. September 15-18, 1998, Wroc{\l}aw. Oficyna Wydawnicza Politechniki Wroc{\l}awskiej, Wroc{\l}aw 1998, Vol. I, pp. 115-120  
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