camera |
2007-11-10 18:50 |
英语论文写作常用经典句型
英语论文写作常用经典句型 @~vg=(ic( )xf(4 d7BpmM Beginning F3V:B.C 1. In this paper, we focus on the need for mNC?kp 2. This paper proceeds as follow. gGE{r}$ 3. The structure of the paper is as follows. V=fu[#<@Ig 4. In this paper, we shall first briefly introduce fuzzy sets and related ]2L11"erP concepts E
1`g8Hk' 5. To begin with we will provide a brief background on the 1/1oT Introduction w}6~t\9D 1. This will be followed by a description of the fuzzy nature of the UxMy8}w!y problem and a detailed presentation of how the required
=oXlJ[)h membership functions are defined. hgYFR6VH 2. Details on xx and xx are discussed in later sections. BO}IN# 3. In the next section, after a statement of the basic problem, various CD`6R. situations involving possibility knowledge are investigated: first, an gLSI? entirely possibility model is proposed; then the cases of a fuzzy ug{sQyLN service time with stochastic arrivals and non-fuzzy service rule is 1c/<2 xO~ studied; lastly, fuzzy service rule are considered. mx1Bk9h%Xe Review ;s~xS*(C 1. This review is followed by an introduction. 3v$n}. 2. A brief summary of some of the relevant concepts in xxx and xxx is Z
OAg7 presented in Section 2. g<~ODMCO?W 3. In the next section, a brief review of the .... is given. fFC9:9< 4. In the next section, a short review of ... is given with special regard L})fYVX
to ... |CQjgI|; 5. Section 2 reviews relevant research related to xx. UCmJQJc 6. Section 1.1 briefly surveys the motivation for a methodology of Ts, U T L action, while 1.2 looks at the difficulties posed by the complexity of 6qV1_M# systems and outlines the need for development of possibility s%#u)nw19 methods. U4a8z<l$ Body MC-Z6l2 1. Section 1 defines the notion of robustness, and argues for its A$~H`W<yxB q}'<[Wg importance. _;x` 6LM 2. Section 1 devoted to the basic aspects of the FLC decision-making ?=?*W7 logic. Ozulp(8* 3. Section 2 gives the background of the problem which includes xxx |J-tU)|1vl 4. Section 2 discusses some problems with and approaches to, ]We0 RD"+ natural language understanding. <vs*aFq 5. Section 2 explains how flexibility which often ... can be expressed ^eV K. in terms of fuzzy time-window s)'+,lKw 6. Section 3 discusses the aspects of fuzzy set theory that are used in f/kYm\Zc the ... /ml+b8@ 7. Section 3 describes the system itself in a general way, including 55y}t%5 the ….. and also discusses how to evaluate system performance. >Ir?)h 8. Section 3 describes a new measure of xx. Vw.4;Zy( 9. Section 3 demonstrates the use of fuzzy possibility theory in the
&"1 _n]JO analysis of xx. g p9;I*! 10. Section 3 is a fine description of fuzzy formulation of human 2*-qEUl1 decision. EcR[b@YI 11. Section 3 is developed to the modeling and processing of fuzzy k
9y/.Mu decision rules 0!c/4^ 12. The main idea of the FLC is described in Section 3 while Section 4 z`J-J*R>d describes the xx strategies. ]3U|K .G 13. Section 3 and 4 show experimental studies for verifying the =(<7o_gJ proposed model. >
JTf
0/ 14. Section 4 discusses a previous fuzzy set-based approach to cost obX2/ variance investigation. I=E\=UTG,5 15. Section 4 gives a specific example of xxx. MA 6uJT 16. Section 4 is the experimental study to make a fuzzy model of t/]za4w/ memory process. Hw#yw g 17. Section 4 contains a discussion of the implication of the results of o:%;AOcl Section 2 and 3. (elkk# 18. Section 4 applies this fuzzy measure to the analysis of xx and |z)7XK illustrate its use on experimental data. Y=UN`vRR 19. Section 5 presents the primary results of the paper: a fuzzy set 1(VskFtZF model .. rN~V^k )d5mZE!3
20. Section 5 contains some conclusions plus some ideas for further OH5#.${O work. Pv$O=N6- 21. Section 6 illustrates the model with an example. xAf?E%_pi 22. Various ways of justification and the reasons for their choice are m?)F@4] discussed very briefly in Section 2. *^%ohCUi 23. In Section 2 are presented the block diagram expression of a `]2y=f<{X whole model j+3=&PkA.] of human DM system ; JHf0 24. In Section 2 we shall list a collection of basic assumptions which )|U+<r< a ... scheme must satisfy. IkLcL8P^ 25. In Section 2 of this paper, we present representation and a&`Lfw" uniqueness theorems for the fundamental measurement of fuzziness `[4{]jX+< when the domain of discourse is order-dense. DM !
B@ 26. In Section 3, we describe the preliminary results of an empirical W'C~{}c= study OxVe}Fy
m currently in progress to verify the measurement model and to X
gA(
D construct membership functions. v}"DW? 27. In Section 5 is analyzed the inference process through the two Czd)AVK
kinds of inference experiments... flU?6\_UC This Section Cy\! H&0wg 1. In this section, the characteristics and environment under which WS ^%<
h# MRP is designed are described. EYKV}` 2. We will provide in this section basic terminologies and notations bX&=*L+h6 which are necessary for the understanding of subsequent results. Bjsg!^X7 Next Section (,
uW- 2. The next section describes the mathematics that goes into the mp>Ne6\Tu computer implementation of such fuzzy logic statements. p+1kU1F0 3. However, it is cumbersome for this purpose and in practical H_ 7E K applications the formulae were rearranged and simplified as w:[\G%yQ discussed in the next section. l>jNBxB|/A 4. The three components will be described in the next two section, *#CUZJN\ and an example of xx analysis of a computer information system will f5&K=4khn _{YU
WV50} then illustrate their use.
Z {*<Gx 5. We can interpret the results of Experiments I and II as in the R"qxT.P( following sections. nHF%PH#|o 6. The next section summarizes the method in a from that is useful 18gApRa for arguments based on xx 4oRDvn7f& Summary o",J{ 1. This paper concludes with a discussion of future research ~k'SP(6#C consideration in section 5. 5}"9)LT@@w 2. Section 5 summarizes the results of this investigation. {:c5/
,7c; 3. Section 5 gives the conclusions and future directions of research. ^;a~_9
m- 4. Section 7 provides a summary and a discussion of some extensions K)F6TvWv of the paper. 8(""ui8 5. Finally, conclusions and future work are summarized ]}0QrD 6. The basic questions posed above are then discussed and )V?:qCuY> conclusions are drawn. {E$smX 7. Section 7 is the conclusion of the paper. Ni-@El99 Chapter 0. Abstract &'<e9 1. A basic problem in the design of xx is presented by the choice of a cMp#_\B xx rate for the measurement of experimental variables. 6h:2,h
pE 2. This paper examines a new measure of xx in xx based on fuzzy g!DJW mathematics which overcomes the difficulties found in other xx gis;)al measures. ^n&_JQIXb 3. This paper describes a system for the analysis of the xx. VH7nyqEM 4. The method involves the construction of xx from fuzzy relations. EohvP[i 5. The procedure is useful in analyzing how groups reach a decision. ?n(OH~@$i 6. The technique used is to employ a newly developed and versatile QSSA) xx algorithm. }YCpd )@ 7. The usefulness of xx is also considered. /Xk-xg+U 8. A brief methodology used in xx is discussed.
aK33bn'j 9. The analysis is useful in xx and xx problem. L(+I 10. A model is developed for a xx analysis using fuzzy matrices. T1#r>3c\ 11. Algorithms to combine these estimates and produce a xx are 2R];Pv lgQ"K(zY presented and justified. Xli$4 uL
12. The use of the method is discussed and an example is given. VMIX=gTZ 13. Results of an experimental applications of this xx analysis p(Ux]_s% procedure are given to illustrate the proposed technique. bYAtUEv 14. This paper analyses problems in b|oT!s 15. This paper outlines the functions carried out by ... cPy/}A 16. This paper includes an illustration of the ... |wINb~trz 17. This paper provides an overview and information useful for @|([b r|O approaching WT63ve 18. Emphasis is placed on the construction of a criterion function by y4)iL?!J~ which the xx in achieving a hierarchical system of objectives are =~_ evaluated. HT
."J 19. The main emphasis is placed on the problem of xx je85G`{DC 20. Our proposed model is verified through experimental study. 5Ky(C6E$s 21. The experimental results reveal interesting examples of fuzzy /]oQqZHv phases of: xx, xx % 'OY 22. The compatibility of a project in terms of cost, and xx are likewise ;2 P represented by linguistic variables. {$g3R@f^~ 23. A didactic example is included to illustrate the computational #MFIsx)r procedure lhC hk7l Chapter 1. Introduction 1xI Time YD;G+"n?T 1. Over the course of the past 30 years, .. has emerged form intuitive BU#3fPl 2. Technological revolutions have recently hit the industrial world CEW1T_1U<\ 3. The advent of ... systems for has had a significant impact on the P ; h8 4. The development of ... is explored ?4^ 0xGyE 5. During the past decade, the theory of fuzzy sets has developed in a Y (pUd3y variety of directions _n1[(I 6.The concept of xx was investigated quite intensively in recent years (x
fN=Te,- 7. There has been a turning point in ... methodology in accordance ?lML+ with the advent of ... 2VzYP~Jg 8. A major concern in ... today is to continue to improve... q=}1
ud}1 9. A xx is a latecomer in the part representation arena. .+,U9e:% "([/G?QAG 10. At the time of this writing, there is still no standard way of xx K)U[xS;< 11. Although a lot of effort is being spent on improving these `/^
_W
<
weaknesses, the efficient and effective method has yet to be P?S]Q19Q4 developed. ?}uuTNLl) 12. The pioneer work can be traced to xx [1965]. L& | |