Inference via Fuzzy Belief Networks

@inproceedings{Looney2002InferenceVF,
  title={Inference via Fuzzy Belief Networks},
  author={Carl G. Looney and Lily R. Liang},
  booktitle={CAINE},
  year={2002}
}
The power of belief networks lies in its connective edges where the influences are bidirectional. While Bayesian methods capture bidirectional influences, we propose a simpler and faster method o f inferencing from nodal observations that uses bidirectional fuzzy influences that are propagated via fuzzy set membership functions. We need neither the conditional probability tables nor constraining mathematical structure that make inferencing NP-hard. 

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