l     From a practical point of view, the computational aspects of an FLC require a simplification of the fuzzy control algorithm.
l     The use of a hammer to insert screws, although partly effective, tends to distort, destroy, and generally defeat the purpose of using a screw [Kusiak AI Implications for CIM p.129]

Justification
l     We choose the so called xx in our experiment because it has received wide acceptance and can
l     Prolog was chosen because it offers a well known and flexible environment in which fuzzy reasoning may be easily implemented.
l     The rationale behind this is that it can be much easier for an estimator to rate a cost as high than to attempt to place a dollar value on the estimate.
l     This strategy has been widely used in fuzzy control applications since it is natural and easy to implement.
l     A function definition expresses the membership function of a fuzzy set in a functional form, typically a bell‑shaped function, etc.  Such functions are used in FLC because they lead themselves to manipulation through the use of fuzzy arithmetic.
l     It should be noted that in our daily life most of the information on which our decisions are based is linguistic rather than numerical in nature.  Seen in this perspective, fuzzy control rules provide a natural framework for the characterization of human behavior and decisions analysis. 
l     Many experts have found that fuzzy control rules provide a convenient way to express their domain knowledge.  This explains why most FLCs are based on the knowledge and experience which are expressed in the language of fuzzy "if‑the" rule.

Chapter 4. Examples

Example/ Data
l     The data used in the following example was taken from an experiment in which xx was measured between x and x using a xx technique.
l     The data consists of ove

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