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英语论文常用表达

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2021-02-13 10:01
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2021年2月13日发(作者:misjudge)


英语论文常用表达



Beginning





1. In this paper, we focus on the need for




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 sets and related


concepts




5. To begin with we will provide a brief background on the





Introduction





1. 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.




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 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.





Review





1. This review is followed by an introduction.




2. A brief summary 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 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.





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 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 window




6. Section 3 discusses 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 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.




13. Section 3 and 4 show 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 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 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 for 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 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 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 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 inference experiments...


This Section




1. In this section, the characteristics and environment under which MRP


is designed are described.




2. We will provide in this section basic terminologies and notations


which are necessary for the understanding of subsequent


Section




2. The next section describes the mathematics that goes into the


computer implementation of such fuzzy logic statements.




3. However, it is cumbersome for this purpose and in practical


applications the formulae were rearranged and simplified as discussed in


the next section.




4. 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.




5. We can interpret the results of Experiments I and II as in the


following sections.




6. The next section summarizes the method in a from that is useful for


arguments based on xx





Summary





1. This paper concludes with a discussion of future research


consideration in section 5.




2. Section 5 summarizes the results of 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 summarized




6. The basic questions posed above are then discussed and conclusions


are drawn.




7. Section 7 is the conclusion of the paper.





Chapter 0. Abstract





1. A basic problem in the design of xx is presented by the choice of a xx


rate for the measurement of experimental variables.




2. This paper examines a new measure of xx in xx based on fuzzy


mathematics which overcomes the difficulties found in other xx measures.





3. This paper describes a system for the analysis of the xx.




4. The method involves the construction of xx from fuzzy relations.




5. The procedure is useful in analyzing how groups reach a decision.





6. The technique used is to employ a newly developed and versatile xx


algorithm.




7. The usefulness of xx is also considered.




8. A brief methodology used in xx is discussed.




9. The analysis is useful in xx and xx problem.




10. A model is developed for a xx analysis using fuzzy matrices.




11. Algorithms to combine these estimates and produce a xx are

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