1、英文论文写作套路模板下Justificationl We choose the so called xx in our experiment because it has received wide acceptance and canl 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 easi
2、er 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 for
3、m, typically a bellshaped 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.S
4、een 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 knowle
5、dge and experience which are expressed in the language of fuzzy ifthe rule.Chapter 4. ExamplesExample/ Datal 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 x
6、x is discussed and the control rules of xx are compared with a xxl 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 demonstrate
7、s 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
8、detailed references for those wishing this level of detail.l Note that the golf ball spotting example is used throughout the paper.Comparisonsl 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 describ
9、ed by Zadeh (1973) appeared more suitablel As discussed in the previous section/preciously,Relationl We can not invert F directly because it defines a many-to-one mapping.l The relationships appear very complicatel Lifting tasks involve complex and imprecise relationship between the task variables a
10、nd the human operators 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 men
11、tion the latter as well as the former.l The former two bear a close relation to a fuzzy Cartesian product.Importancel The emphasis is on an implementation of a general approach to rule based decision making.Consideration / Attentionl Careful evaluation is necessary to ensure l Such a formulation doe
12、s not change further considerations.l Considerable attention has been paid tol 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 . components, though others can be accommodatedl After . h
13、as been defined by ., a carefully analysis is carried out/performed to determinel A number of factors such as .need to be taken into consideration before making the appropriate decision.l It should be noted thatl It is important to point out that .l These considerations have heightened interest in t
14、he possibility of providing .l We should stress the fundamental importance of the xxChapter 5. Results.Advantages / Disadvantagel One of the major advantages of this new measure of xx is that it can be applied to the experimental study ofl One advantage of using a . is the ease of preparing it.l The
15、 xx system is versatilel It has a very fast decision making processl All the algorithms involve mostly logical operations.lIt 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
16、to represent xx are the following:l However, xx is not without its shortcomings.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
17、 existing works based on xx approach can only recognize a xx .l Most of the above methods are computational 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 becau
18、se 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 combines the best features of both t
19、echniquesl 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 communities.Resultsl An improvement on the result shown above can be made by based on the data providedl Discus
20、sion of these theories is beyond the scope of this reviewl Based on the information contained in thisl The result can be categorized into nine classesl The results are illustrated by an examplel The experimental results for each xx time are reported in Table 2.l From the results obtained so far, it
21、seem thatl Because of the inaccuracy of the ., a conclusion cannot be drawn as l Although much effort has been made to., this reality is far from completion.l The results indicate that the total benefits are higher than the total costs.l Their results may then serve as guidelines for lower level mod
22、els, less fuzzy and more detailed.Chapter 6. Conclusionl From the discussion, one may conclude that .l Form the above discussion, the conclusion can be reached that l The conclusions drawn are also validl In conclusion to this, it becomes obvious that the problem of xx lies not only in.l We have att
23、empted to introduce some concepts associated with a theory ofxx based on fuzzy sets.l Considerable more work, hopefully, will be done in this areal A fuzzy set procedure is proposed to solve xx selection problems interwoven with imprecise datal Employing the compositional rule of inference, the asse
24、ssment of the xx compatibility in achieving prescribed xx projectiles in any level of the hierarchy is made possible.l This paper has presented a theoretical and experimental study of the xx process and xx concept.l The experimental research results will hopefully serve as useful feedback informatio
25、n for improvements for xx work.l The scope of this contribution was to introduce a xx method.l In general, fuzzy sets theory provides an alternative foundation for xx analysis in a fuzzy environment.Future Researchl Thus, first extension of the approach could be, l Present some cues for a further ap
26、proach from Fuzzy Sets Theory application to l Some improvements to the scheduling aspect of the model may be brought through additional levels in the hierarchy for more detailed representation of the scheduling activity.Tables and Figuresl Figure 7-1 sketches these relationships.l The graphical rep
27、resentation of these functions is shown in Figure 1.l The xx may be depicted as in Figure 1.l Figure x shows the schematic diagram ofthe l Figure 1 though 2 provide a . thatl the architecture of this expert system for . is illustrated in Figure 2.l Figure 2 gives the outline of an . systeml Table sh
28、ows thel as shown in Table 1 and 2l This concept is illustrated in Figure 2l At the top of Table xx are shown two blocks of data. l Each table or matrix has constructs xx through xx as rowheadings,xx through xx as columnheadings.l A table of . is developed and significant recommendations are made.CO
29、NJUGATIONTo Indicate Additionl additionally, again, also, and then, as can be easily understood, besides, equally important, especially, finally, for the same reason, first, further, furthermore, in addition, last, likewise, moreover, next, second, third, too, evidently, obviously, roughly speaking,
30、 broadly speakingTo Indicate Cause and Effectl accordingly, as a result, consequently, for this reason, hence, in short, otherwise, then, therefore, thus, trulyTo indicate Comparisonl in a like manner, likewise, similarly , alternativelyTo Indicate Concessionl after all, although this may be true, at the same time, even though, even so , I admit, naturally, of courseTo Indicate Contrastl and yet, at the same time, but, for all that, however, yet, in fact, in contrast, in the real life, in spite of, nevertheless, notwithstanding, normally, on the contra
