ABSTRACT
The functional architecture of the fuzzy system (controller)∗ is composed of a rule-base (containing a fuzzy logic quantification of the expert’s linguistic description of how to achieve good control), an inference mechanism (which emulates the expert’s decision-making in interpreting and applying knowledge about how to do good control), a fuzzification interface (which converts controller inputs into information that the inference mechanism can easily use to activate and apply rules), and a defuzzification interface (which converts the conclusions of the inference mechanism into actual inputs for the process). Here we describe each of these four components in more detail (see Section 55.4 for a block diagram) [3-5].
