Fuzzy models specify rules in terms of fuzzy sets. A fuzzy rule consists of an antecedent (IF-part) and the consequent (THEN-part). The antecedent combines different inputs using the 'and' combination. To express 'or'
combinations, a set of rules with different inputs but the same output is often used. For example:
IF ((nutrition egood)V (nutrition p medium)) ) quality = good can be expressed with the following two rules:
IF (nutrition p good) ) quality = good
IF (nutrition p medium)) ) quality = good
This splitting technique leads to easily understood but larger rule sets. The simpler rules are sometimes advantageous for rule inspection in maintenance of fuzzy models.
Was this article helpful?