Title
Conditional Events with Vague Information in Expert Systems
Abstract
Ad hoc techniques and inference methods used in expert systems are often logically inconsistent. On the other hand, among properties and assertions concerning handling of uncertainty, those which turns out to be well founded can be in general easily deduced from probability laws. Relying on the general concept of event as a proposition and starting from a few conditional events of initial interest, a gradual and coherent assignment of conditional probabilities is possible by resorting to de Finetti's theory of coherent extension of subjective probability. Moreover, even when numerical probabilities can be easily assessed, a more general approach is obtained introducing an ordering among conditional events by means of a coherent qualitative probability.
Year
DOI
Venue
1990
10.1007/BFb0028094
IPMU
Keywords
Field
DocType
conditional events,vague information,expert systems,expert system,conditional probability
Proposition,Conditional probability,Computer science,Inference,Expert system,Imprecise probability,Coherence (physics),Artificial intelligence,Machine learning
Conference
Volume
ISSN
ISBN
521
0302-9743
3-540-54346-5
Citations 
PageRank 
References 
15
5.94
2
Authors
3
Name
Order
Citations
PageRank
Giulianella Coletti157271.49
Angelo Gilio241942.04
Romano Scozzafava336748.05