英文论文写作常用句子.doc

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1、此资料由网络收集而来，如有侵权请告知上传者立即删除。资料共分享，我们负责传递知识。英文论文写作常用句子beginningl in this paper, we focus on the need for l this paper proceeds as follow.l the structure of the paper is as follows.l in this paper, we shall first briefly introduce fuzzy sets and related conceptsl to begin with we will provide a brief ba

2、ckground on the introductionl this will be followed by a description of the fuzzy nature of the problem and a detailed presentation of how the required membership functions are defined.l details on xx and xx are discussed in later sections.l in the next section, after a statement of the basic proble

3、m, various situations involving possibility knowledge are investigated: first, an entirely possibility model is proposed; then the cases of a fuzzy service time with stochastic arrivals and non‑fuzzy service rule is studied; lastly, fuzzy service rule are considered.reviewl this review is foll

4、owed by an introduction. l a brief summary of some of the relevant concepts in xxx and xxx is presented in section 2.l in the next section a brief view of the . is given. l in the next section, a short review of . is given with special regard to .l section 2 reviews relevant research related to xx.l

5、 section 1.1 briefly surveys the motivation for a methodology of action, while 1.2 looks at the difficulties posed by the complexity of systems and outlines the need for development of possibility methods.bodyl section 1 defines the notion of robustness, and argues for its importance.l section 1 dev

6、oted to the basic aspects of the flc decision‑making logic.l section 2 gives the background of the problem which includes xxxl section 2 discusses some problems with and approaches to, natural language understanding.l section 2 explains how flexibility which often . can be expressed in terms o

7、f fuzzy time‑windowl section 3 discusses the aspects of fuzzy set theory that are used in the .l section 3 describes the system itself in a general way, including the .and also discusses how to evaluate system performance.l section 3 describes a new measure of xx.l section 3 demonstrates the u

8、se of fuzzy possibility theory in the analysis of xx.l section 3 is a fine description of fuzzy formulation of human decision.l section 3, is developed to the modeling and processing of fuzzy decision rulesl the main idea of the flc is described in section 3 while section 4 describes the xx strategi

9、es.l section 3 and 4 show experimental studies for verifying the proposed model.l section 4 discusses a previous fuzzy set‑based approach to cost variance investigation.l section 4 gives a specific example of xxx.l section 4 is the experimental study to make a fuzzy model of memory process.l s

10、ection 4 contains a discussion of the implication of the results of section 2 and 3.l section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimental data.l section 5 presents the primary results of the paper: a fuzzy set model .l section 5 contains some conclusions

11、 plus some ideas for further work.l section 6 illustrate the model with an example.l various ways of fuzzification and the reasons for their choice are discussed very briefly in section 2.l in section 2 are presented the block diagram expression of a whole model of human dm systeml in section 2 we s

12、hall list a collection of basic assumptions which a . scheme must satisfy.l in section 2 of this paper, we present representation and uniqueness theorems for the fundamental measurement of fuzziness when the domain of discourse is order‑dense.l in section 3, we describe the preliminary results

13、 of an empirical study currently in progress to verify the measurement model and to construct membership functions.l in section 5 is analyzed the inference process through the two kinds of inference experiments.this sectionl in this section, the characteristics and environment under which mrp is des

14、igned are described.l we will provide in this section basic terminologies and notations which are necessary for the understanding of subsequent results.next sectionl the next section describes the mathematics that goes into the computer implementation of such fuzzy logic statements.l however, it is

15、cumbersome for this purpose and in practical applications the formulae were rearranged and simplified as discussed in the next section.l the three components will be described in the next two section, and an example of xx analysis of a computer information system will then illustrate their use.l we

16、can interpret the results of experiments i and ii as in the following sections.l the next section summarizes the method in a from that is useful for arguments based on xxsummaryl this paper concludes with a discussion of future research consideration in section 5.l section 5 summarizes the results o

17、f this investigation.l section 5 gives the conclusions and future directions of research.l section 7 provides a summary and a discussion of some extensions of the paper.l finally, conclusions and future work are summarizedl the basic questions posed above are then discussed and conclusions are drawn

18、.l section 7 is the conclusion of the paper.chapter 0. abstractl a basic problem in the design of xx is presented by the choice of a xx rate for the measurement of experimental variables.l this paper examines a new measure of xx in xx based on fuzzy mathematics which overcomes the difficulties found

19、 in other xx measures.l this paper describes a system for the analysis of the xx.l the method involves the construction of xx from fuzzy relations.l the procedure is useful in analyzing how groups reach a decision.l the technique used is to employ a newly developed and versatile xx algorithms.l the

20、usefulness of xx is also considered.l a brief methodology used in xx is discussed.l the analysis is useful in xx and xx problem.l a model is developed for a xx analysis using fuzzy matrices.l algorithms to combine these estimates and produce a xx are presented and justified.l the use of the method i

21、s discussed and an example is given.l results of an experimental applications of this xx analysis procedure are given to illustrate the proposed technique.l this paper analyses problems in l this paper outlines the functions carried out by .l this paper includes an illustration of the .l this paper

22、provides an overview and information useful for approachingl emphasis is placed on the construction of a criterion function by which the xx in achieving a hierarchical system of objectives are evaluated.l the main emphasis is placed on the problem of xxl our proposed model is verified through experi

23、mental study.l the experimental results reveal interesting examples of fuzzy phases of : xx,xxl the compatibility of a project in terms of cost, and xx are likewise represented by linguistic variables.l a didactic example is included to illustrate the computational procedurechapter 1. introductionti

24、mel over the course of the past 30 years, . has emerged form intuitive l technological revolutions have recently hit the industrial worldl the advent of . systems for has had a significant impact on the l the development of . is exploredl during the past decade, the theory of fuzzy sets has develope

25、d in a variety of directions,l the concept of xx was investigated quite intensively in recent yearsl there has been a turning point in . methodology in accordance with the advent of .l a major concern in . today is to continue to improve.l a xx is a latecomer in the part representation arena.l at th

26、e time of this writing, there is still no standard way of xxl although a lot of effort is being spent on improving these weaknesses, the efficient and effective method has yet to be developed.l the pioneer work can be traced to xx 1965.l to date, none of the methods developed is perfect and all are

27、far from ready to be used in commercial systems.objective / goal / purposel the purpose of the inference engine can be outlined as follows:l the ultimate goal of the xx system is to allow the non‑experts to utilize the existing knowledge in the area of manual handling of loads, and to provide

28、intelligent, computer‑aided instruction for xxx.l the paper concerns the development of a xxl the scope of this research lies inl the main theme of the paper is the application of rule‑based decision making.l these objectives are to be met with such thoroughness and confidence as to perm

29、it .l the objectives of the . operations study are as follows:l the primary purpose/consideration/objective ofl the ultimate goal of this concept is to providel the main objective of such a . system is tol the aim of this paper is to provide methods to construct such probability distribution.l in or

30、der to achieve these objectives, an xx must meet the following requirements:l in order to take advantage of their similarityl more research is still required before final goal of . can be completedl in this trial, the objective is to generate.l for the sake of concentrating on . research issuesl a m

31、ajor goal of this report is to extend the utilization of a recently developed procedure for the xx.l for an illustrative purpose, four well‑known or problems are studied in presence of fuzzy data: xx.l a major thrust of the paper is to discuss approaches and strategies for structuring .methods

32、l this illustration points out the need to specifyl the ultimate goal is both descriptive and prescriptive.l chapter 2. literature reviewl a wealth of information is to be found in the statistics literature, for example, regarding xxl a considerable amount of research has been done . during the last

33、 decadel a great number of studies report on the treatment of uncertainties associated with xx.l there is considerable amount of literature on planningl however, these studies do not provide much attention to undertainty in xx.l since then, the subject has been extensively explored and it is still u

34、nder investigation as well in methodological aspects as in concrete applications.l many research studies have been carried out on this topic.l problem of xx draw recently more and more attention of system analysis.l attempts to resolve this dilemma have resulted in the development of l many complex

35、processes unfortunately, do not yield to this design procedure and have, therefore, not yet been automated.l most of the methods developed so far are deterministic and /or probabilistic in nature.l the central issue in all these studies is to l the problem of xx has been studied by other investigato

36、rs, however, these studies have been based upon classical statistical approaches.l applied . techniques tol characterized the . system asl developed an algorithm tol developed a system called . whichl uses an iterative algorithm to deducel emphasized the need tol identifies six key issues surroundin

37、g high technologyl a comprehensive study of the . has been undertaken l much work has been reported recently in these filedl proposedl presentedl state thatl point out that the problem of l describedl illustratedl indicatedl has shown / showedl addressl highlightsl a study on .was done / developed b

38、y l previous work, such as and , deal only withl the approach taken by isl the system developed by consistsl a paper relevant to this research was published by l s model requires consideration of .l model draws attention to evolution in human developmentl s model focuses on.l little research has bee

39、n conducted in applying . tol the published information that is relevant to this research.l this study further shows thatl their work is based on the principle of l more history of . can be found in xx et al. 1979.l studies have been completed to establishedl the .studies indicated that l though app

40、lication of xx in the filed of xx has proliferated in recent years, effort in analyzing xx, especially xx, is lacking.problem / issue / questionl unfortunately, real-world engineering problems such as manufacturing planning do not fit well with this narrowly defined model. they tend to span broad ac

41、tivities and require consideration of multiple aspects.l remedy / solve / alleviate these problemsl . is a difficult problem, yet to be adequately resolvedl two major problems have yet to be addressedl an unanswered questionl this problem in essence involves using x to obtain a solution.l an additio

42、nal research issue to be tackled is .l some important issues in developing a . system are discussedl the three prime issues can be summarized:l the situation leads to the problem of how to determine the .l there have been many attempts to l it is expected to be serious barrier to l it offers a simpl

43、e solution in a limited domain for a complex problem.l there are several ways to get around this problem.l as difficult as it seems to be, xx is by no means new.l the problem is to recognize xx from a design representation.l a xx problem can trace its roots to xx.l xx 1987 used a heuristic approach

44、to simplify the complexity of the problem.l several problems are associated with them.l although some progress has been made in this area, at least two major obstacles must be overcome before a fully automated system can be realized.l most problems in practice are complicatedl more problem surface h

45、ere.l hamper effort toward a xx systeml in order to overcome the limitations due to incomplete and imprecise xx knowledge, a xx program has been developed, which bases its knowledge upon the statistical analysis of a sample population of xxl the above difficulties are real challenges faced by resear

46、chers attempting to developl this type of mapping raises no controversy to the issue of membership function determination.l however, attempts to quantify the xx have met both theoretical and empirical problems.l it has become apparent that in order to apply this new methodological framework to real&

47、#8209;world problems and data, we have to pay attention to the problems of xx and xx.chapter 3. proposed methodologyassumptionl in the case when the assumption of a xx seems to be too restrictive or inadequate, the formulation with fuzzy termination time, i.e. given by a fuzzy set in the space of control stages, may