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.
Consideration / Attention
l Careful evaluation is necessary to ensure
l Such a formulation does not change further considerations.
l Considerable attentio
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