I. Introduction
On many occasions, fuzzy rule-based systems have been demonstrated to be powerful tools in modeling, decision making, and automatic control. In essence, such a system consists of two main components: a fuzzy rule and an inference mechanism. The choice of an appropriate fuzzy relation that models the fuzzy rule base and of a compatible inference mechanism are crucial for the proper functioning of the whole system.