Automatic fuzzy decision network transformation

Authors:
Alexander Holland;Madjid Fathi
Affiliations:
Institute of Knowledge Based Systems, University of Siegen, Siegen, Germany;Institute of Knowledge Based Systems, University of Siegen, Siegen, Germany
Venue:
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2006

Citing 7
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Abstract

Among the various types of decision support systems, decision-theoretic models and rule-based systems have gained considerable attraction. Both approaches have advantages and disadvantages. Decision-theoretic models dispose of a sound mathematical basis and comfortable knowledge engineering tools. Rule-based systems provide an efficient execution architecture and represent knowledge in an explicit, intelligible way. In this paper, we consider fuzzy rule-based systems as a special type of condensed decision model. We outline a knowledge compilation scheme which allows one to transform a decision-theoretic model into a fuzzy rule base and, hence, to combine the advantages of both approaches.