A new form of knowledge representation and reasoning

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2005Publisher:IEEEJournal:2005 International Conference on Machine Learning and Cybernetics

Authors: Ming-Hu Ha; Peng Wang; Yan Li; Hai-Jun Li;

doi: 10.1109/icmlc.2005.1527378

A new form of knowledge representation and reasoning

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Abstract

The case of the consequence including two or more propositions connected by "AND" or "OR" in the weighted fuzzy production rules (WFPRs) is taken into consideration. Two knowledge representation parameters of input and output weight of a rule are proposed in order to adapt to the new forms of WFPRs. The weighted production rules evaluation method and multilevel fuzzy reasoning method are also improved in this paper. The reasoning consequences and the certainty factors of the consequences can be deduced synchronously after multilevel fuzzy reasoning by using a generalized fuzzy Petri net (GFPN).

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Hebei University
China (People's Republic of)
Hebei University
China (People's Republic of)

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Fuzzy knowledge representation and reasoning using a generalized fuzzy petri net and a similarity measure
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