| SCI论文 |
2013-10-30 13:00 |
Example/ Data
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.
The data consists of over xx measurements.
An example of xx is discussed and the control rules of xx are compared with a xx
Examples of complex processes to which this technique may be applied are xx, xx, etc.
The following example is constructed only for the purpose of illustrating the computational procedure discussed.
This example clearly demonstrates that the profile of an individual xx, or a very all group of xx, with no enough data to be studied statistically, can be meaningfully yzed by fuzzy possibilistic methods.
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.
Note that the golf ball spotting example is used throughout the paper.
Comparisons
As well, the pros and cons of these representations from a process planning point of view will be discussed.
The method of using xx to implement xx described by Zadeh (1973) appeared more suitable
As discussed [in the previous section]/[preciously] |
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