英语学术论文常用句型
英语学术论文常用句型
Beginning
1. In this paper, we focus on the need for
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2. This paper proceeds as follow.
3. The structure of the paper is as follows.
4. In this paper, we shall first briefly introduce fuzzy ts and related concepts
5. To begin with we will provide a brief background on the
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Introduction
1. This will be followed by a description of the fuzzy nature of the problem and a detailed prentation of how the required membership functions are defined.
2. Details on xx and xx are discusd in later ctions.
3. In the next ction, after a statement of the basic problem, various situations involving possibility knowledge are investigated: first, an entirely possibility model is propod; then the cas of a fuzzy rvice time with stochastic arrivals and non fuzzy rvice rule is studied; lastly, fuzzy rvice rule are considered.
Review
1. This review is followed by an introduction.
2. A brief summary of some of the relevant concepts in xxx and xxx is prented in Section 2.
3. In the next ction, a brief review of the .... is given.
4. In the next ction, a short review of ... is given with special regard to ...
5. Section 2 reviews relevant rearch related to xx.
6. Section 1.1 briefly surveys the motivation for a methodology of action, while 1.2 looks at the difficulties pod by the complexity of systems and outlines the need for development of possibility methods.
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网上学英语Body
1. Section 1 defines the notion of robustness, and argues for its importance.
2. Section 1 devoted to the basic aspects of the FLC decision making logic.
3. Section 2 gives the background of the problem which includes xxx
4. Section 2 discuss some problems with and approaches to, natural language understanding.
5. Section 2 explains how flexibility which often ... can be expresd in terms of fuzzy time window
6. Section 3 discuss the aspects of fuzzy t theory that are ud in the ...
7. Section 3 describes the system itlf in a general way, including the ….. and also discuss how to evaluate system performance.
8. Section 3 describes a new measure of xx.
倒廪倾囷9. Section 3 demonstrates the u of fuzzy possibility theory in 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 rules
12. The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies.
banner是什么意思13. Section 3 and 4 show experimental studies for verifying the propod model.
14. Section 4 discuss a previous fuzzy t bad approach to cost variance investigation.
15. Section 4 gives a specific example of xxx.
baby steps16. Section 4 is the experimental study to make a fuzzy model of memory process.
17. Section 4 contains a discussion 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 u on experimental data.welcome
19. Section 5 prents the primary results of the paper: a fuzzy t model ..
20. Section 5 contains some conclusions plus some ideas for further work.
21. Section 6 illustrates the model with an example.
22. Various ways of justification and the reasons for their choice are discusd very briefly in Section 2.
23. In Section 2 are prented the block diagram expression of a whole model of human DM system
24. In Section 2 we shall list a collection of basic assumptions which a ... scheme must satisfy.
25. In Section 2 of this paper, we prent reprentation and uniqueness theorems for the fundamental measurement of fuzziness when the domain of discour is order den.
获得奥斯卡奖的电影26. In Section 3, we describe the preliminary results of an empirical 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 This Section
1. In this ction, the characteristics and environment under which MRP is designed are described.
2. We will provide in this ction basic terminologies and notations which are necessary for the understanding of subquent results.Next Section
2. The next ction describes the mathematics that goes into the computer implementation of such fuzzy logic statements.
