广义因果定性网络及其融合贝叶斯网络定性建模模型

2010 Second International Conference on Information Technology and Computer Science Pub Date : 2010-07-24 DOI:10.1109/ITCS.2010.118

Hong-bin Fang

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引用次数: 0

摘要

根据融合理论，通过定性逼近来构建BN的结构是可行的。本文提出了广义因果定性网络的概念，并通过定性逼近给出了广义因果定性网络的融合模型，对相应的贝叶斯网络进行定性建模。

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Generalized Causal Qualitative Networks and Its Fusion Model for Qualitative Modeling of Bayesian Networks

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.

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2010 Second International Conference on Information Technology and Computer Science

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