A Framework for the Rule-Based Compilation of Decision Networks

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