Title :
Generalized Causal Qualitative Networks and Its Fusion Model for Qualitative Modeling of Bayesian Networks
Author_Institution :
Dept. of Comput., Shangqiu Normal Coll., Shangqiu, China
Abstract :
Constructing the structure of BN through qualitative approachability is feasible according to fusion. In this paper, a new concept, generalized causal qualitative networks, is put forward as well as its fusion model is given for qualitative modeling of corresponding Bayesian networks through qualitative approachability.
Keywords :
belief networks; probability; Bayesian networks; fusion model; generalized causal qualitative networks; qualitative approachability; qualitative probabilistic networks; Artificial intelligence; Bayesian methods; Cognition; Entropy; Joints; Organizations; Probabilistic logic; Bayesian networks; Fusion; Qualitative probabilistic networks;
Conference_Titel :
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-7293-2
Electronic_ISBN :
978-1-4244-7294-9
DOI :
10.1109/ITCS.2010.118
