英语论文写作常用经典句子.doc

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1、英语论文写作常用经典句子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 background on the Introductionl This will

2、 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 problem, various situations involving possibi

3、lity knowledge are investigated: first, an entirely possibility model is proposed; then the cases of a fuzzy service time with stochastic arrivals and nonfuzzy service rule is studied; lastly, fuzzy service rule are considered.Reviewl This review is followed by an introduction. l A brief summary of

4、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 Section 1.1 briefly surveys the motivation fo

5、r 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 devoted to the basic aspects of the FLC decisionm

6、aking 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 of fuzzy timewindowl Section 3 discusses the aspects o

7、f 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 use of fuzzy possibility theory in the analysis of xx.l Secti

8、on 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 strategies.l Section 3 and 4 show experimental studies for verifying

9、 the proposed model.l Section 4 discusses a previous fuzzy setbased 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 Section 4 contains a discussion of the implication of the results of

10、 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 plus some ideas for further work.l Section 6 illustrate the model

11、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 modelof human DM systeml In Section 2 we shall list a collection of basic assumptions which a . scheme must sa

12、tisfy.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 orderdense.l In Section 3, we describe the preliminary results of an empirical study currently in progress to verify the measurement mode

13、l 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 designed are described.l We will provide in this section basic terminologies a

14、nd 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 cumbersome for this purpose and in practical applications the formulae were

15、 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 can interpret the results of Experiments I and II as in the following secti

16、ons.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 of this investigation.l Section 5 gives the conclusions and future direction

17、s 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.l Section 7 is the conclusion of the paper.Chapter 0. Abstractl A basic pr

18、oblem 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 in other xx measures.l This paper describes a system for the analysis of t

19、he 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 usefulness of xx is also considered.l A brief methodology used in xx is dis

20、cussed.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 is discussed and an example is given.l Results of an experimental applicatio

21、ns 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 provides an overview and information useful for approachingl Emphasis is pl

22、aced 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 experimental study.l The experimental results reveal interesting examples of fuzz

23、y 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. IntroductionTimel Over the course of the past 30 years, . has emerged form intuitive l Te

24、chnological 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 developed in a variety of directions,l The concept of xx was investigated quite int

25、ensively 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 the time of this writing, there is still no standard way of xxl Although a lo

26、t 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 far from ready to be used in commercial systems.Objective / Goal / Purposel

27、 The purpose of the inference engine can be outlined as follows:l The ultimate goal of the xx system is to allow the nonexperts to utilize the existing knowledge in the area of manual handling of loads, and to provide intelligent, computeraided instruction for xxx.l The paper concerns the developmen

28、t of a xxl The scope of this research lies inl The main theme of the paper is the application of rulebased decision making.l These objectives are to be met with such thoroughness and confidence as to permit .l The objectives of the . operations study are as follows:l The primary purpose/consideratio

29、n/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 order to achieve these objectives, an xx must meet the following requirements:l In order to take a

30、dvantage 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 major goal of this report is to extend the utilization of a recently developed procedure for the

31、xx.l For an illustrative purpose, four wellknown 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 .methodsl This illustration points out the need to specifyl The ultimate goal is both descriptive and prescript

32、ive.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 decadel A great number of studies report on the treatment of uncertainties associated with xx.l There

33、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 under investigation as well in methodological aspects as in concrete applications.l Many research studie

34、s 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 processes unfortunately, do not yield to this design procedure and have, therefore, not yet been automa

35、ted.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 investigators, however, these studies have been based upon classical statistical approaches.l Applied . techniques

36、 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 surrounding high technologyl A comprehensive study of the . has been undertaken l Much work has been reported rec

37、ently 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 by l Previous work, such as and , deal only withl The approach taken by isl The system developed by cons

38、istsl 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 been conducted in applying . tol The published information that is relevant to this research.l This study

39、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 application of xx in the filed of xx has proliferated in recent years, effort in analyzing xx, especially

40、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 activities and require consideration of multiple aspects.l Remedy / solve / alleviate these problemsl . i

41、s 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 additional research issue to be tackled is .l Some important issues in developing a . system are discussedl Th

42、e 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 simple solution in a limited domain for a complex problem.l There are several ways to get around this proble

43、m.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 to simplify the complexity of the problem.l Several problems are associated with them.l Although some p

44、rogress 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 here.l Hamper effort toward a xx systeml In order to overcome the limitations due to incomplete and impr

45、ecise 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 researchers attempting to developl This type of mapping raises no controversy to the issue of membership func

46、tion 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 realworld 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 be applied.l We assume here the fuzzy constr