1、2、表格的自动编号表格的自动编号同图的自动编号，只是表格选择在上面。这里如果你word里面没有相应标签，就要新建适合自己的标签，新建标签的方法前面图的自动编号中有。3、公式的自动编号第一步，安装mathtype6.0或是6.5以上的编辑器，设置公式自动编号的显示格式；第二步，点击上面后，弹出如下公式格式设置对话框，按着对话框来设置就差不多了；第三步，点击插入公式；第四步，所有公式插入完了以后，全选，点击update，就可以自动更新公式的编号了。后续中如果要添加新的公式，或是删除公式按着相同的方法就可以实现公式的自动编号和更新。已被分享106次 分享来自：骑毛驴追宝马的日志英语学术论文常用句型
2、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
3、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 poss
4、ibility 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 sum
5、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
6、 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 aspec
7、ts 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.
8、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 possibil
9、ity 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. Sec
10、tion 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. Sec
11、tion 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 conc
12、lusions 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 2
13、4. 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
14、 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 environme
15、nt 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 Section 2. The next section describes the mathematics that goes into the computer implementation of such fuzzy logic
16、 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 wil
17、l 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 sectio
18、n 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
19、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
20、 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
21、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 esti
22、mates and produce a xx are presented and justified. 12. The use of the method is discussed and an example is given. 13. Results of an experimental applications of this xx analysis procedure are given to illustrate the proposed technique. 14. This paper analyses problems in 15. This paper outlines th
23、e functions carried out by . 16. This paper includes an illustration of the . 17. This paper provides an overview and information useful for approaching 18. Emphasis is placed on the construction of a criterion function by which the xx in achieving a hierarchical system of objectives are evaluated.
24、19. The main emphasis is placed on the problem of xx 20. Our proposed model is verified through experimental study. 21. The experimental results reveal interesting examples of fuzzy phases of: xx, xx 22. The compatibility of a project in terms of cost, and xx are likewise represented by linguistic v
25、ariables. 23. A didactic example is included to illustrate the computational procedure Chapter 1. Introduction Time 1. Over the course of the past 30 years, . has emerged form intuitive 2. Technological revolutions have recently hit the industrial world 3. The advent of . systems for has had a signi
26、ficant impact on the 4. The development of . is explored 5. During the past decade, the theory of fuzzy sets has developed in a variety of directions 6.The concept of xx was investigated quite intensively in recent years 7. There has been a turning point in . methodology in accordance with the adven
27、t of . 8. A major concern in . today is to continue to improve. 9. A xx is a latecomer in the part representation arena. 10. At the time of this writing, there is still no standard way of xx 11. Although a lot of effort is being spent on improving these weaknesses, the efficient and effective method
28、 has yet to be developed. 12. The pioneer work can be traced to xx 1965. 13. To date, none of the methods developed is perfect and all are far from ready to be used in commercial systems. Objective / Goal / Purpose 1. The purpose of the inference engine can be outlined as follows: 2. The ultimate go
29、al 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 for xxx. 3. The paper concerns the development of a xx 4. The scope of this research lies in 5. The main theme of the pape
30、r is the application of rule based decision making. 6. These objectives are to be met with such thoroughness and confidence as to permit . 7. The objectives of the . operations study are as follows: 8. The primary purpose/consideration/objective of 9. The ultimate goal of this concept is to provide 10. The main objective of such a . system is to 11. The aim of this paper is to provide methods to construct such p
