A semiqualitative approach to reasoning in probabilistic networks
1993
Abstract This paper proposes the use of semiqualitative modeling for reasoning in probabilistic networks. Semiqualitative modeling is a generalization of qualitative modeling that refines the set of intervals in which values may be expressed. The advantage of semiqualitative modeling of probabilistic reasoning over more traditional methods is that a semiqualitative model can cope with incomplete and imprecise information that would prevent a more traditional model from functioning. The semi-qualitative analysis of a well-known example from the literature is presented, and conclusions about the general use of semiqualitative modeling in reasoning under uncertainty is discussed.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
16
References
13
Citations
NaN
KQI