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【正文】 ctive, 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 ifthe 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 pared with a xx l Examples of plex 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 putational 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 F39。 directly because it defines a manytoone mapping. l The relationships appear very plicate l Lifting tasks involve plex and imprecise relationship between the task variables and the human operator39。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 attention has been paid to l Attention should be paid to an important finding of this investigation. l Caution should be exercised in this process to avoid ... l Primary consideration is given to ... ponents, though others can be acmodated l After ... has been defined by ..., a carefully analysis is carried out/performed to determine l A number of factors such as ...need to be taken into consideration before making the appropriate decision. l It should be noted that l It is important to point out that ... l These considerations have heightened interest in the possibility of providing ... l We should stress the fundamental importance of the xx Chapter 5. Results. Advantages / Disadvantage l One of the major advantages of this new measure of xx is that it can be applied to the experimental study of l One advantage of using a .. is the ease of preparing it. l The xx system is versatile l It has a very fast decision making process l All the algorithms involve mostly logical operations. l It can be easily and without additional cost implemented in a microprocessorbased environment. l It can reduce the waste of designing from scratch. l The advantages of using a xx to represent xx are the following: l However, xx is not without its shortings. l In most cases, the xxx shows an improvement over the existing xxx. l Compared to the existing xx, the impacts of the xx are generally reduced by 5% to 9%. l The best case results shows a savings of 6% to 9%. l Most of the existing works based on xx approach can only recognize a xx . l Most of the above methods are putational expansive and limited to xx. l Some other advantages of xx are the following: l The problem is the limitation of this method to a limited domain of parts. l It proved limited in application because it demanded precision in system modeling that was impossible in practice. l There are advantages to be gained in the structuring of costs and benefits, the use of xx, l The disadvantages of this method are also disadvantages of conventional xx approaches. l This bines the best features of both techniques l Hopefully, this tool can be as the reference framework of for developing a xx platform, and helping the administration, marketing, and knowledge management activities in virtual munities. Results l An improvement on the result shown above can be made by based on the data provided l Discussion of these theories is beyond the scope of this review l Based on the information contained in this l The result can be categorized into nine classes l The results are illustrated by an example l The experimental results for each xx time are reported in Table 2. l From the results obtained so far, it seem that l Because of the inaccuracy