【正文】 From the results obtained so far, i。 The results are illustrated by an examplel Based on the information contained in thisl An improvement on the result shown above can be made by based on the data providedl This bines the best features of both techniquesl There are advantages to be gained in the structuring of costs and benefits, the use of xx,l The problem is the limitation of this method to a limited domain of parts.l Most of the above methods are putational expansive and limited to xx.l The best case results shows a savings of 6% to 9%.l In most cases, the xxx shows an improvement over the existing xxx.l The advantages of using a xx to represent xx are the following:l All the algorithms involve mostly logical operations.l It can be easily and without additional cost implemented in a microprocessorbased environment.l The xx system is versatilel One of the major advantages of this new measure of xx is that it can be applied to the experimental study ofl These considerations have heightened interest in the possibility of providing ...l It should be noted thatl After ... has been defined by ..., a carefully analysis is carried out/performed to determinel Caution should be exercised in this process to avoid ...l Considerable attention has been paid tol Careful evaluation is necessary to ensurel The former two bear a close relation to a fuzzy Cartesian product.Importancel 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 s characteristics.l The relationships appear very plicatel We can not invert F39。 The method of using xx to implement xx described by Zadeh (1973) appeared more suitablel Note that the golf ball spotting example is used throughout the paper.Comparisonsl 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 Examples of plex processes to which this technique may be applied are xx, xx, etc.l The data consists of over xx measurements.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. ExamplesExample/ Datal A function definition expresses the membership function of a fuzzy set in a functional form, typically a bellshaped function, etc. Such functions are used in FLC because they lead themselves to manipulation through the use of fuzzy arithmetic.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 We choose the so called xx in our experiment because it has received wide acceptance and canl From a practical point of view, the putational aspects of an FLC require a simplification of the fuzzy control algorithm.l From this point of view, Zadeh suggested an inference rule named xxx (CRI for short).l from an implementation standpoint,l therefore,l For manufacturing purposes, a detailed and precise model of the object is necessaryl s formula states the following:l An algorithm based on the characteristic ... is used to determinel A number of heuristic rules have been developed forl Given a model, one can mathematically determine whether ... or ...l The validity of a xx model can be checked using Euler39。 A process decision model captures the logic essential tol A xx model is constructed/formulated using xx.l Several techniques can be usedl s head.l It is only when .. has been pleted that .. may be effectedl Only a few studies can be found.l There is little hope of achieving successful ...l The preparatory stage is very time consuming process.l This fact suggests that a new conceptl On the basis of the concept mentioned above,l Various methods have been proposed for selecting an optimum...l This algorithm to pute the total cost can be described step by step as follows:l This approach will be explained and discussed thoroughly in the body of the report.l In order to an investigation was made to find the causes of thel A discussion is presented of a problemsolving systeml While there is no measurable saving of time for the case involving five criteria, the saving is dramatic for the case involving 10 criteria the putation time reduces from 10 hr 40 min to about 1 min.l An interactive menudriven procedure is used in this studyl Lisp, Prolog give maximum flexibility but also maximizes development time.l based microputer equipped with a 80387 math coprocessor.l s data has been entered, requires approximately 180 seconds.l Time consuming procedures have been implemented in Clanguage and directly linked to the Prolog environment.l The system has been implemented using Prolog language in an MSDOS environment. Prolog was chosen because it offers a well known and flexible environment in which fuzzy reasoning may be easily implemented.l The rule bases are linked to each other in a chinlike manner in the sense that the consequent of one rule base constitutes a part of the antecedent of the next rule base.l xx is an important part of the integrated system.l A .. is monly thought of as a truly integrated .. systeml In this case, the system can be considered to be generative.l The successful developments in ESs have made them an important tool in the development ofl The development of a xx system has two stages: xx stage and xx stage.l The system environment must be relatively stablel The system prises a ... withl The system ha