再也不愁论文中的英文怎么写了!英语学术论文常用句型论文的英文摘要怎么写英语学术论文常用句型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 piefly introduce fuzzy sets and related concepts5. To begin with we will provide a pief background on theIntroduction1. 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.Review1. This review is followed by an introduction.2. A pief summary of some of the relevant concepts in xxx and xxx is presented in Section 2.3. In the next section, a pief 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 piefly 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.Body1. 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 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 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 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 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 piefly 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 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 Section1. 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 results.Next Section2. 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 xxSummary1. 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 g