Incorporating Concept-Based Match into Fuzzy Production Rules

F TP (Fuzzy Template Predicate) is proposed as a template to incorporate concept-based match into fuzzy production languages. A thesaurus augmented in F TP supports the concept-based match, which is more sophisticated than previous fuzzy match mechanisms. Membership functions for fuzzy linguistic variables and fuzzy numbers are used as an interface to the thesaurus. F TP also has self reening facility to reformulate itself by exploiting user input or integrity constraints in Knowledge base. F TP is used mainly in the Left Hand Side (LHS) of a production rule to participate in matches made between patterns and fuzzy facts. For the seamless integration of the rule into a relational database, the structure of the fuzzy facts LHS refers to is conformed to the relational framework. We also develop a rule evaluation mechanism supporting the F TP construct. In the rule evaluation, a modiied Rescher-Gaines translation rule is used for fuzzy implication rather than well-known compositional rule of inference. The modiication is also directed toward conforming the semantic of our rule evaluation to that of the relational framework.