id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_jheoydk3s5butm6zfif4wf6wnm	Peter Walley	Measures of uncertainty in expert systems	1996	58	.pdf	application/pdf	30112	2746	61	lower (or upper) previsions, belief functions (used in the Dempster-Shafer theory) and possibility measures (fuzzy logic). probabilities, coherent lower previsions, belief functions and possibility measures. probabilities or models defined in terms of upper and lower density functions or mass is of interest because the other theories examined in this paper (Bayesian, belief functions and possibility theory) attempt to define conditional probabilities and expectations In Shafer's canonical example, the belief function is generated from an underlying precise probability measure through a multivalued mapping (defined below). Natural extension produces a lower probability model that is not a belief function (it is (See [ 1!>,23,48] for interesting comparisons of the two rules.) Natural extension produces conditional upper and lower probabilities that are coherent with the unconditional The conditional upper and lower probabilities generated by natural extension can be easily computed as follows: 	./cache/work_jheoydk3s5butm6zfif4wf6wnm.pdf	./txt/work_jheoydk3s5butm6zfif4wf6wnm.txt