英语学术论文常用经典句型.docx

1、英语学术论文常用经典句型Beginning1. In this paper, we focus on the need for2. This paper proceeds as follow.3. The structure of the paper is as follows.4. In this paper, we shall first briefly introduce fuzzy sets and related concepts5. To begin with we will provide a brief background on theIntroduction1. This

2、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.2. Details on xx and xx are discussed in later sections.3. In the next section, after a statement of the basic problem, various situations involving p

3、ossibility 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.Review1. This review is followed by an introduction.2. A brief sum

4、mary of some of the relevant concepts in xxx and xxx is presented in Section 2.3. In the next section, a brief review of the . is given.4. In the next section, a short review of . is given with special regard to .5. Section 2 reviews relevant research related to xx.6. Section 1.1 briefly surveys the

5、 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.Body1. Section 1 defines the notion of robustness, and argues for its importance.2. Section 1 devoted to the basic aspects of t

6、he FLC decision making logic.3. Section 2 gives the background of the problem which includes xxx4. Section 2 discusses some problems with and approaches to, natural language understanding.5. Section 2 explains how flexibility which often . can be expressed in terms of fuzzy time window6. Section 3 d

7、iscusses the aspects of fuzzy set theory that are used in the .7. Section 3 describes the system itself in a general way, including the . and also discusses how to evaluate system performance.8. Section 3 describes a new measure of xx.9. Section 3 demonstrates the use of fuzzy possibility theory in

8、the analysis of xx.10. Section 3 is a fine description of fuzzy formulation of human decision.11. Section 3, is developed to the modeling and processing of fuzzy decision rules12. The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies.13. Section 3 and 4 show

9、experimental studies for verifying the proposed model.14. Section 4 discusses a previous fuzzy set based approach to cost variance investigation.15. Section 4 gives a specific example of xxx.16. Section 4 is the experimental study to make a fuzzy model of memory process.17. Section 4 contains a disc

10、ussion of the implication of the results of Section 2 and 3.18. Section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimental data.19. Section 5 presents the primary results of the paper: a fuzzy set model .20. Section 5 contains some conclusions plus some ideas f

11、or further work.21. Section 6 illustrates the model with an example.22. Various ways of justification and the reasons for their choice are discussed very briefly in Section 2.23. In Section 2 are presented the block diagram expression of a whole model of human DM system24. In Section 2 we shall list

12、 a collection of basic assumptions which a . scheme must satisfy.25. 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.26. In Section 3, we describe the preliminary results of an empi

13、rical study currently in progress to verify the measurement model and to construct membership functions.27. In Section 5 is analyzed the inference process through the two kinds of inference experiments.This Section1. In this section, the characteristics and environment under which MRP is designed ar

14、e described.2. We will provide in this section basic terminologies and notations which are necessary for the understanding of subsequent results.Next Section1. The next section describes the mathematics that goes into the computer implementation of such fuzzy logic statements.2. However, it is cumbe

15、rsome for this purpose and in practical applications the formulae were rearranged and simplified as discussed in the next section.3. 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.4. We can

16、 interpret the results of Experiments I and II as in the following sections.5. The next section summarizes the method in a from that is useful for arguments based on xxSummary1. This paper concludes with a discussion of future research consideration in section 5.2. Section 5 summarizes the results o

17、f this investigation.3. Section 5 gives the conclusions and future directions of research.4. Section 7 provides a summary and a discussion of some extensions of the paper.5. Finally, conclusions and future work are summarized6. The basic questions posed above are then discussed and conclusions are d

18、rawn.7. Section 7 is the conclusion of the paper.-Chapter 0. Abstract A basic problem in the design of xx is presented by the choice of a xx rate for the measurement of experimental variables. This paper examines a new measure of xx in xx based on fuzzy mathematics which overcomes the difficulties f

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

20、sefulness of xx is also considered. A brief methodology used in xx is discussed. The analysis is useful in xx and xx problem. A model is developed for a xx analysis using fuzzy matrices. Algorithms to combine these estimates and produce a xx are presented and justified. The use of the method is disc

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

22、overview and information useful for approaching Emphasis is placed on the construction of a criterion function by which the xx in achieving a hierarchical system of objectives are evaluated. The main emphasis is placed on the problem of xx Our proposed model is verified through experimental study. T

23、he experimental results reveal interesting examples of fuzzy phases of : xx,xx The compatibility of a project in terms of cost, and xx are likewise represented by linguistic variables. A didactic example is included to illustrate the computational procedureChapter 1. IntroductionTime Over the course

24、 of the past 30 years, . has emerged form intuitive Technological revolutions have recently hit the industrial world The advent of . systems for has had a significant impact on the The development of . is explored During the past decade, the theory of fuzzy sets has developed in a variety of directi

25、ons, The concept of xx was investigated quite intensively in recent years There has been a turning point in . methodology in accordance with the advent of . A major concern in . today is to continue to improve. A xx is a latecomer in the part representation arena. At the time of this writing, there

26、is still no standard way of xx Although a lot of effort is being spent on improving these weaknesses, the efficient and effective method has yet to be developed. The pioneer work can be traced to xx 1965. To date, none of the methods developed is perfect and all are far from ready to be used in comm

27、ercial systems.Objective / Goal / Purpose The purpose of the inference engine can be outlined as follows: 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 intelligent, computer aided instruction f

28、or xxx. The paper concerns the development of a xx The scope of this research lies in The main theme of the paper is the application of rule based decision making. These objectives are to be met with such thoroughness and confidence as to permit . The objectives of the . operations study are as foll

29、ows: The primary purpose/consideration/objective of The ultimate goal of this concept is to provide The main objective of such a . system is to The aim of this paper is to provide methods to construct such probability distribution. In order to achieve these objectives, an xx must meet the following

30、requirements: In order to take advantage of their similarity more research is still required before final goal of . can be completed In this trial, the objective is to generate. for the sake of concentrating on . research issues A major goal of this report is to extend the utilization of a recently

31、developed procedure for the xx. For an illustrative purpose, four well known OR problems are studied in presence of fuzzy data: xx. A major thrust of the paper is to discuss approaches and strategies for structuring .methods This illustration points out the need to specify The ultimate goal is both descriptive and prescriptive.Chapter 2. Literature Review A wealth of information is to be found in the statistics literature, for exam