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 over xx measurements.
l     An example of xx is discussed and the control rules of xx are compared with a xx
l     Examples of complex processes to which this technique may be applied are xx, xx, etc.
l     The following example is constructed only for the purpose of illustrating the computational procedure discussed.
l     This example clearly demonstrates that the profile of an individual xx, or a very small group of xx, with no enough data to be studied statistically, can be meaningfully analyzed by fuzzy possibilistic methods.
l     There is no space here to go into detail on all these methods, but deserve a mention and the bibliography will point to detailed references for those wishing this level of detail.
l     Note that the golf ball spotting example is used throughout the paper.

Comparisons
l     As well, the pros and cons of these representations from a process planning point of view will be discussed.
l     The method of using xx to implement xx described by Zadeh (1973) appeared more suitable
l     As discussed [in the previous section]/[preciously],

Relation
l     We can not invert F' directly because it defines a many-to-one mapping.
l     The relationships appear very complicate
l     Lifting tasks involve complex and imprecise relationship between the task variables and the human operator's characteristics.
l     These methods are based on the relationship between ... and ...
l     The fundamental concept of a fuzzy rating language is that we can establish a relationship among terms such as high, medium, and low, and then modify these relationships.
l     This article will thus mention the latter as well as the former.
l     The former two bear a close relation to a fuzzy Cartesian product.

Importance
l     The emphasis is on an implementation of a general approach to rule based decision making.