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主题 : 英语论文写作常用经典句型
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楼主  发表于: 2007-11-10   

英语论文写作常用经典句型

英语论文写作常用经典句型 ]| y H8m  
0- UeFy  
{dwV-qz  
Beginning W!k6qTz)  
1. In this paper, we focus on the need for [1C#[Vla  
2. This paper proceeds as follow. 3(:mRb}  
3. The structure of the paper is as follows. WFd2_oAT  
4. In this paper, we shall first briefly introduce fuzzy sets and related rd)) H  
concepts CnH R&`  
5. To begin with we will provide a brief background on the DVJc-.x8  
Introduction A 5 X+Z  
1. This will be followed by a description of the fuzzy nature of the {yHfE,  
problem and a detailed presentation of how the required k)py\  
membership functions are defined. }dUC^04  
2. Details on xx and xx are discussed in later sections. ".%LBs~$  
3. In the next section, after a statement of the basic problem, various p|d9 g ^  
situations involving possibility knowledge are investigated: first, an `5Btg. &  
entirely possibility model is proposed; then the cases of a fuzzy _6!/}Fm  
service time with stochastic arrivals and non-fuzzy service rule is h'~- K`  
studied; lastly, fuzzy service rule are considered. s8[9YfuW  
Review ^-u HdafP  
1. This review is followed by an introduction. \&5@yh  
2. A brief summary of some of the relevant concepts in xxx and xxx is $>=Nb~t!/  
presented in Section 2. ib \[ ~rg  
3. In the next section, a brief review of the .... is given. rx>Tc#g  
4. In the next section, a short review of ... is given with special regard }+ 2"?f|]  
to ... {@5WeWlz~  
5. Section 2 reviews relevant research related to xx. ^-GX&ODa  
6. Section 1.1 briefly surveys the motivation for a methodology of /]zib@i  
action, while 1.2 looks at the difficulties posed by the complexity of -]\E}Ti  
systems and outlines the need for development of possibility S}^s 5ztm  
methods. u)`|q_y+8  
Body B" m:<@ "  
1. Section 1 defines the notion of robustness, and argues for its 5 ?~-Vv31s  
o U}t'WU  
importance. ,{?bM  
2. Section 1 devoted to the basic aspects of the FLC decision-making -ouJf}#R  
logic. {Okik}Oh  
3. Section 2 gives the background of the problem which includes xxx Mc7<[a  
4. Section 2 discusses some problems with and approaches to, x;FO|fH  
natural language understanding. 2${,%8"0s  
5. Section 2 explains how flexibility which often ... can be expressed RO$ @>vL  
in terms of fuzzy time-window V87ee,  
6. Section 3 discusses the aspects of fuzzy set theory that are used in t+!gzZ  
the ... O\?5#.   
7. Section 3 describes the system itself in a general way, including #4_O;]{'  
the ….. and also discusses how to evaluate system performance. k]$E8[.t  
8. Section 3 describes a new measure of xx. $sc8)d\B  
9. Section 3 demonstrates the use of fuzzy possibility theory in the : qCm71*  
analysis of xx. :*P___S=  
10. Section 3 is a fine description of fuzzy formulation of human ;/";d]j  
decision. E8iadf49  
11. Section 3 is developed to the modeling and processing of fuzzy !v5sWVVR  
decision rules <[3lV)~t  
12. The main idea of the FLC is described in Section 3 while Section 4 U)`3[fo  
describes the xx strategies. `z$uw  
13. Section 3 and 4 show experimental studies for verifying the D)*_{   
proposed model. k\Z;Cmh>  
14. Section 4 discusses a previous fuzzy set-based approach to cost Y1yXB).AH8  
variance investigation.  g`)/x\  
15. Section 4 gives a specific example of xxx. dS3>q<J*a  
16. Section 4 is the experimental study to make a fuzzy model of xyS2_Q  
memory process. )~?S0]j}  
17. Section 4 contains a discussion of the implication of the results of 0i`v:Lq%  
Section 2 and 3. 2pxWv )0  
18. Section 4 applies this fuzzy measure to the analysis of xx and $LxG>db  
illustrate its use on experimental data. h=v[i!U-eY  
19. Section 5 presents the primary results of the paper: a fuzzy set ^^4K/XBve  
model .. Jm]]>K8.3V  
Io,/ +#|  
20. Section 5 contains some conclusions plus some ideas for further q#Yg0w~  
work. GG@I!2,_  
21. Section 6 illustrates the model with an example. w| -0@  
22. Various ways of justification and the reasons for their choice are 5A2Y'ms,/  
discussed very briefly in Section 2. @wYQLZ  
23. In Section 2 are presented the block diagram expression of a fw1;i  
whole model nxn[ ~~  
of human DM system 7GBZA=J  
24. In Section 2 we shall list a collection of basic assumptions which DqurHQ z)m  
a ... scheme must satisfy. ;I!+ lx3[  
25. In Section 2 of this paper, we present representation and OQytgXED  
uniqueness theorems for the fundamental measurement of fuzziness IL+#ynC  
when the domain of discourse is order-dense. 7~!I2DV_  
26. In Section 3, we describe the preliminary results of an empirical ";-{ ~  
study ~4MtDf  
currently in progress to verify the measurement model and to lgCHGv2@  
construct membership functions. Hl^aUp.c  
27. In Section 5 is analyzed the inference process through the two dJdD"xj  
kinds of inference experiments... . iOw0z  
This Section <_BqpZ^`  
1. In this section, the characteristics and environment under which RJtix uvh@  
MRP is designed are described. CbTf"pl  
2. We will provide in this section basic terminologies and notations ;x!,g5q"q  
which are necessary for the understanding of subsequent results. &K9VEMCEX  
Next Section pX>ua5Z  
2. The next section describes the mathematics that goes into the jGk7=}nw  
computer implementation of such fuzzy logic statements. VRtbHam  
3. However, it is cumbersome for this purpose and in practical k1^V?O  
applications the formulae were rearranged and simplified as c^ixdk  
discussed in the next section. >QYh}Z- /%  
4. The three components will be described in the next two section, kbfuvJ>  
and an example of xx analysis of a computer information system will bh=\  
W9 n^T+2  
then illustrate their use. t! 6\7Vm/  
5. We can interpret the results of Experiments I and II as in the :@:g*w2K  
following sections. pu\b`3C(  
6. The next section summarizes the method in a from that is useful UlK/x"JDv  
for arguments based on xx S9OxI$6Y  
Summary  .LX?VD  
1. This paper concludes with a discussion of future research Sp<hai  
consideration in section 5. M.o?CX'  
2. Section 5 summarizes the results of this investigation. =^Bq WC2~  
3. Section 5 gives the conclusions and future directions of research. cj$,ob&DX  
4. Section 7 provides a summary and a discussion of some extensions !Bag}|#  
of the paper. <2n'}&F  
5. Finally, conclusions and future work are summarized H"2U)HJl  
6. The basic questions posed above are then discussed and ~&lQNl3`m6  
conclusions are drawn. 2;&mkc K'  
7. Section 7 is the conclusion of the paper. t@X M /=d  
Chapter 0. Abstract ; qO@A1Hq  
1. A basic problem in the design of xx is presented by the choice of a 8r2XGR  
xx rate for the measurement of experimental variables. {\P?/U6~f  
2. This paper examines a new measure of xx in xx based on fuzzy Xfj)gPt}  
mathematics which overcomes the difficulties found in other xx x2Ha&   
measures. 1UC2zM"  
3. This paper describes a system for the analysis of the xx. Y3D3.T6Q  
4. The method involves the construction of xx from fuzzy relations. fW(;   
5. The procedure is useful in analyzing how groups reach a decision. [0K=I64 z  
6. The technique used is to employ a newly developed and versatile QxKAXq@)i  
xx algorithm. TLy ;4R2Nn  
7. The usefulness of xx is also considered. x]H3Y3  
8. A brief methodology used in xx is discussed. wyp{KIV  
9. The analysis is useful in xx and xx problem. Mk<m6E$L  
10. A model is developed for a xx analysis using fuzzy matrices. {>S4 #^@}  
11. Algorithms to combine these estimates and produce a xx are JAN|aCzD  
Nc,*hsx'  
presented and justified. m^ z,,t9  
12. The use of the method is discussed and an example is given. Lg8 ]dBXu  
13. Results of an experimental applications of this xx analysis 6e zcS}:+  
procedure are given to illustrate the proposed technique. yz2(_@R  
14. This paper analyses problems in q{/*n ]K  
15. This paper outlines the functions carried out by ... ^Wf S\M`  
16. This paper includes an illustration of the ... }&mj.hGv  
17. This paper provides an overview and information useful for 9w zwY[{  
approaching <8$Md4r  
18. Emphasis is placed on the construction of a criterion function by [ ynuj3G V  
which the xx in achieving a hierarchical system of objectives are $kv@tzO  
evaluated. 8*vFdoE_oO  
19. The main emphasis is placed on the problem of xx |l$ u<3  
20. Our proposed model is verified through experimental study. QJQJR/g  
21. The experimental results reveal interesting examples of fuzzy jBS'g{y-!  
phases of: xx, xx (p^S~Ax  
22. The compatibility of a project in terms of cost, and xx are likewise u9BjgK(M  
represented by linguistic variables. s~=g*99H  
23. A didactic example is included to illustrate the computational J, r Xx:  
procedure 8'+7i8e  
Chapter 1. Introduction _O LI%o  
Time w\p9J0  
1. Over the course of the past 30 years, .. has emerged form intuitive [Q|M/|mnR1  
2. Technological revolutions have recently hit the industrial world vABXXB  
3. The advent of ... systems for has had a significant impact on the mLQUcYfR  
4. The development of ... is explored gXF.on4B  
5. During the past decade, the theory of fuzzy sets has developed in a .ByU  
variety of directions $Vsy%gA<  
6.The concept of xx was investigated quite intensively in recent years IEc>.J|T&  
7. There has been a turning point in ... methodology in accordance *N`;I@Q"[  
with the advent of ... Q4=|@|U0  
8. A major concern in ... today is to continue to improve... qZ&a76t  
9. A xx is a latecomer in the part representation arena. {79qtq%W{  
ZOC#i i`:  
10. At the time of this writing, there is still no standard way of xx T30Zk*V  
11. Although a lot of effort is being spent on improving these Ms,@t^nk  
weaknesses, the efficient and effective method has yet to be 'd+:D'  
developed. %OEq,Tb  
12. The pioneer work can be traced to xx [1965]. x_k S g  
13. To date, none of the methods developed is perfect and all are far Hk~k@Wft  
from ready to be used in commercial systems. 4j{oaey  
Objective / Goal / Purpose <>n9 'i1  
1. The purpose of the inference engine can be outlined as follows: ?d~]Wd!z  
2. The ultimate goal of the xx system is to allow the non-experts to 16?C@` S>  
utilize the existing knowledge in the area of manual handling of loads, UP]1(S?  
and to provide intelligent, computer-aided instruction for xxx. o(zTNk5d  
3. The paper concerns the development of a xx .$P|^Zx,  
4. The scope of this research lies in zA,/@/'(  
5. The main theme of the paper is the application of rule-based  dHq#  
decision making. :PUK6,"5]O  
6. These objectives are to be met with such thoroughness and  cLAe sj  
confidence as to permit ... >J@egIKzP  
7. The objectives of the ... operations study are as follows: $ o " L;j  
8. The primary purpose/consideration/objective of d@Q][7  
9. The ultimate goal of this concept is to provide E23w *']  
10. The main objective of such a ... system is to C38%H  
11. The aim of this paper is to provide methods to construct such .yX>.>"T|  
probability distribution.  VGB-h'  
12. In order to achieve these objectives, an xx must meet the ~{P:sjs U  
following requirements: kN.B/itvA  
13. In order to take advantage of their similarity -;U3w.-  
14. more research is still required before final goal of ... can be k2.G%]j  
completed R1/q3x  
15. In this trial, the objective is to generate... Y&g&n o_  
16. for the sake of concentrating on ... research issues Oy%Im8.-A#  
17. A major goal of this report is to extend the utilization of a recently . it2NS  
developed procedure for the xx. Z%e|*GS{  
 NpR6  
18. For an illustrative purpose, four well-known OR problems are nP;;MX:B  
studied in presence of fuzzy data: xx. H-2_j  
19. A major thrust of the paper is to discuss approaches and 3q?5OL^$  
strategies for structuring ..methods ;`X~ k|7K  
20. This illustration points out the need to specify ;cLUnsB\  
21. The ultimate goal is both descriptive and prescriptive. b2s~%}T  
22. Chapter 2. Literature Review :Y^I]`lR"  
23. A wealth of information is to be found in the statistics literature, d;44;*D  
for example, regarding xx M(2`2-/xh  
24. A considerable amount of research has been done .. during the e9:P9Di(b  
last decade *KJ7nRKx(w  
25. A great number of studies report on the treatment of bE4HDq 34  
uncertainties associated with xx. 3e 73l  
26. There is considerable amount of literature on planning !+KhFC&Py  
27. However, these studies do not provide much attention to 8&."uEOOU  
uncertainty in xx. u|OtKq  
28. Since then, the subject has been extensively explored and it is v ): V  
still under investigation as well in methodological aspects as in B6%&gXr\  
concrete applications. 7=3O^=Q ^Q  
29. Many research studies have been carried out on this topic. l"5y?jT  
30. Problem of xx draws recently more and more attention of system 1.0J2nZpt  
analysis. Y&GuDLUF  
31. Attempts to resolve this dilemma have resulted in the '\t7jQ  
development of &O*ENpF  
32. Many complex processes unfortunately, do not yield to this u]bz42]  
design procedure and have, therefore, not yet been automated. 8W,*eke?  
33. Most of the methods developed so far are deterministic and /or %w:'!X><  
probabilistic in nature. =:/>6 H1x  
34. The central issue in all these studies is to q~h:<,5  
35. The problem of xx has been studied by other investigators, \O? u*  
however, these studies have been based upon classical statistical +nQ!4  
approaches. *8UYSA~v  
36. Applied ... techniques to (Fqa][0  
37. Characterized the ... system as S_5?U2 %D  
HfZtL  
38. Developed an algorithm to WHk/$7_"i  
39. Developed a system called ... which `x Ih\q  
40. Uses an iterative algorithm to deduce ! TDD^  
41. Emphasized the need to pl\b-  
42. Identifies six key issues surrounding high technology ev"M;"y  
43. A comprehensive study of the... has been undertaken WIG=D{\Yx  
44. Much work has been reported recently in these filed N7pt:G2~%  
45. Proposed/Presented/State that/Described/Illustrated/ ?Pnx ~m{%*  
Indicated/Has shown / showed/Address/Highlights f3t. T=S  
46. Point out that the problem of (#z;(EN0t  
47. A study on ...was done / developed by [] }4vjKSV  
48. Previous work, such as [] and [], deal only with 4#h ?Wga  
49. The approach taken by [] is SSQT;>  
50. The system developed by [] consists @'gl~J7  
51. A paper relevant to this research was published by [] 7}o6_i  
52. []'s model requires consideration of... Pw  xIz  
53. []' model draws attention to evolution in human development [TEcg^  
54. []'s model focuses on... GA ik;R  
55. Little research has been conducted in applying ... to Cya5*U0=  
56. The published information that is relevant to this research... HEpM4 xe$  
57. This study further shows that A6i et~h[  
58. Their work is based on the principle of VF= Z`  
59. More history of ... can be found in xx et al. [1979]. ^K.*.|  
60. Studies have been completed to established z{M8Yf |  
61. The ...studies indicated that  ob]dZ  
62. Though application of xx in the filed of xx has proliferated in iD`k"\>9  
recent years, effort in analyzing xx, especially xx, is lacking. H!. ZH(asY  
Problem / Issue / Question ^]7,1dH}M  
63. Unfortunately, real-world engineering problems such as 1I \tu  
manufacturing planning do not fit well with this narrowly defined `oVB!eapl  
model. They tend to span broad activities and require consideration @p6@a6N%  
of multiple aspects. $`v+4]   
64. Remedy / solve / alleviate these problems _4!{IdR   
67. ... is a difficult problem, yet to be adequately resolved V&R$8tpz  
6}STp_ x  
68. Two major problems have yet to be addressed %wtXo BJ  
69. An unanswered question 4 (8<w cL  
70. This problem in essence involves using x to obtain a solution. (Xj.iP  
71. An additional research issue to be tackled is .... /sV?JV[t  
72. Some important issues in developing a ... system are discussed u{P~zyx  
73. The three prime issues can be summarized: Q ]0r:i= .  
74. The situation leads to the problem of how to determine the ... eK *W =c#@  
75. There have been many attempts to Ysl9f1>%  
76. It is expected to be serious barrier to {( dP  
77. It offers a simple solution in a limited domain for a complex ?DRR+n _  
problem. D>Ua#<52q  
1. There are several ways to get around this problem. o"\{OX  
2. As difficult as it seems to be, xx is by no means new. D!/0c]"  
3. The problem is to recognize xx from a design representation. ?^F5(B[+Y  
4. A xx problem can trace its roots to xx. $N dH*  
5. xx [1987] used a heuristic approach to simplify the complexity of  ^ `je  
the problem. Y .X4*B  
6. Several problems are associated with them. T $ IUKR  
7. Although some progress has been made in this area, at least two DUhT>,~]  
major obstacles must be overcome before a fully automated system 4a?r` '  
can be realized. z 7@ 'CJ  
8. Most problems in practice are complicated  +xq=<jy  
9. More problem surface here. 3@'lIV ?,q  
10. Hamper effort toward a xx system `^zQ$au'u  
11. In order to overcome the limitations due to incomplete and ?l>e75V%w  
imprecise xx knowledge, a xx program has been developed, which smbUu/  
bases its knowledge upon the statistical analysis of a sample GeVc\$K-  
population of xx Q8 4t9b  
12. The above difficulties are real challenges faced by researchers g&XhQ.aa  
attempting to develop c<>y!^g  
13. This type of mapping raises no controversy to the issue of juXC?2c  
membership function determination. 4[Z1r~t\L  
14. However, attempts to quantify the xx have met both theoretical 8| Sba<d  
and empirical problems. OK.-]()!  
c9|I4=_K  
15. It has become apparent that in order to apply this new \k4M{h6  
methodological framework to real-world problems and data, we have &`m~o/  
to pay attention to the problems of xx and xx. GgT=t)}wu  
Chapter 3. Proposed methodology <jg8y'm@0  
Assumption |KTpK(6p  
1. In the case when the assumption of a xx seems to be too FRc  |D  
restrictive or inadequate, the formulation with Fuzzy termination 9Y\F53p&j  
time, i.e. given by a fuzzy set in the space of control stages, may be UJ O]sD`i  
applied. vrQFx~ZztH  
2. We assume here the fuzzy constraints to be state-dependent, and EmF]W+!z%  
the fuzzy goal to be the same for all the control states, xx, which "i}Z(_7yr  
stems from the problem's nature. C CLfvex  
3. An approach to the solution of this problem is presented under the 7L1\1E:!  
assumption that the sampling rate Decision can be made prior to the 2Qw )-EB  
execution of the experiment, as opposed to being made while the xcsFODx~  
experiment is in progress. %+D-y+hn  
4. Another assumption made above is that there are precise odds at Hxj'38Y  
which the expert is indifferent. fp,1qzU[k  
5. Main simplifying assumptions are: kbD*=d}3{  
6. This, in our view, is a questionable assumption. >t2]Ssi(  
Outline / Structure / Module u!m,ilAnd  
1. An outline of the research W<Bxm|  
2. Information is incorporated within the scheme f2BS[$oV4  
3. Is built into ... structure Mr#oT?  
4. A nice modular structure. W dei`u[  
5. The principles of ... are applied as modularized criteria pg5@lC]J  
Classification 0F-mROC=F  
1. A xx system comprises three main components: f_^ix  
2. Must decompose the original .. into a set of .. *2w_oKE'+5  
3. Consists of the following steps: 2nG{>,#C:O  
4. This is summarized in the following steps: e5]&1^+  
/h{go]&Nb  
5. Can be broadly classified into the following areas: 5d)'`hACe  
6. Can be characterized by its function of effectively processing the ?{y:s!!  
7. Can allow further breadth of application of ...into more =1V>Vd?8.  
8. The following steps should be followed S7@ZtFf  
9. xx can be classified by a different ways. DQL06`pX/  
10. Based on the xx, one may classify xx into the following: +!mNm?H[!  
11. This catalog may change due to wear, breakage, and purchasing. Fh*q]1F  
System 'LtgA|c=  
1. Unlike many conventional program, expert systems do not 1]a*Oer}  
usually deal with problem for which there is clearly a right or wrong 3n}s CEt=  
answer. 1t~S3Q||>]  
2. The system consists of both ... and ... x= vE&9_u  
3. The system has a hierarchical modular architecture organized on n1k$)S$iiy  
three levels. , }xpYq_/  
4. expert system domains are area of expertise H|UV+Q0,  
5. To develop a xx system for xx, the following factors must be 4iL.4Uj{N  
considered: _oMs `"4K  
6. The system has been developed / designed to determine p``;!3~ ~  
7. The system has proven to be able to )%H5iSNG$P  
8. The domain in which an expert system operates is a particular gMoyy  
domain  \\E_W9.u  
9. The system comprises a ... with g0; &/;"  
10. The system is [feature-oriented ] / based on the ... technique &y+PSa%n  
11. The system environment must be relatively stable h0Sy'] 3m  
12. The system is utilized to generate, load, store, update and I;kUG_c(4  
retrieve ... / %U~lr  
13. The development of a xx system has two stages: xx stage and xx a?xq*|?  
stage. *x# &[>  
14. The most essential part of .. system is the ... )N%1%bg^-  
15. The successful developments in ESs have made them an % 0y3/W  
important tool in the development of t?#vb}_  
16. An automated system was developed for E&T'U2  
17. In this case, the system can be considered to be generative. aQym= 6 %e  
NdXy% Q  
18. An interactive automatic ... system oE|u;o  
19. A …. is commonly thought of as a truly integrated .. system -Uhl 9 =  
20. Should be capable of being generated from a ... system v|,[5IY  
21. xx is an important part of the integrated system. Mh-*5Rx  
22. The model consists of four rule bases, each of which addresses a 9-Nq[i"  
separate problem in the hierarchy of scheduling decision. Zc' >}X[G  
23. The rule bases are linked to each other in a chin-like manner in ;5JIY7t  
the sense that the consequent of one rule base constitutes a part of )2^/?jK  
the antecedent of the next rule base. bTy' 5"  
24. The rule base consists of all possible combinations of the  <*6y`X  
linguistic terms associated with the linguistic variable of the 2'UFHiK  
antecedent of a rule. l)!woOt  
Computer System b1 ['uJF  
1. The system has been implemented using Prolog language in an ]rX?n  
MS-DOS environment. Prolog was chosen because it offers a well ]Buk9LTe  
known and flexible environment in which fuzzy reasoning may be /cg]wG!n8  
easily implemented. I?B,rT3 h  
2. The current version of the xx program when compiled with "<n"A7e  
WATFOR77 results in an executable code of about 270K bytes. b]qfcV  
Typical run time, when run on a XX computer (an IBM compatible )hZ}$P1  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min ]JCB^)tM  
to 2h, depending on the size (or complexity) of the problem. p7=^m>Z6  
3. Time consuming procedures have been implemented in 8 IIdNd  
C-language and directly linked to the Prolog environment. 'N5r2JL[w  
4. The xx process, once the xx's data has been entered, requires '/qe#S  
approximately 180 seconds. E#X!*q&  
5. It should be noted that the computation was done with a 20 Hhz, r1[T:B'  
80386..209;based microcomputer equipped with a 80387 math #O974f8  
co-processor. >v4~:n2D  
6. The computer programs used for the analyses, one based on the xx gR6T]v  
method and the other based on the new method, were written in  ]mU*Y:<  
FORTRAN with a compiler that supports the math co-processor. (C[S?@S  
7. Lisp, Prolog give maximum flexibility but also maximizes qhGhUyNX  
iQR}) =Q  
development time. j%<@ui u  
l Internal representation is the way a model is represented in the oDDH;Q"M(  
computer. QO^X7A"?X  
l An interactive menu-driven procedure is used in this study [GT1,(}. Z  
l Shell can be develop very fast at the cost of time fairly severe J_Xf:Mz-  
limitations. #IJKMSGw?E  
l While there is no measurable saving of time for the case involving )8>f  
five criteria, the saving is dramatic for the case involving 10 criteria PvCE}bY{}  
-- the computation time reduces from 10 hr 40 min to about 1 min. Gjh7cm>  
l This combination is being implemented in an objected-oriented QlXF:Gx"=  
programming environment (Smalltalk-80 system) to solve problems ,Yt&PE  
encountered in construction xxx. QI{Y@xQ  
Method / Approach / Study / Process Model / Equation /Algorithm / TBp5xz`  
Rule / Formula / Technique j[eEyCW[)  
l A discussion is presented of a problem-solving system Q9V4-MC9  
l To improve the efficiency of the method, the following approach fYPU'"hzG  
may be applied. s*WfRY*=V  
l In order to an investigation was made to find the causes of the <b40\Z{+  
l Although large collections of rules and equations have been ];]EK6dzG  
complied, none are generally accepted &y?B&4|hM  
l This approach will be explained and discussed thoroughly in the ikiy>W8  
body of the report. RuuU}XQ  
l This can be accomplished by '2#fkH[.  
l This algorithm to compute the total cost can be described step by 5X-(@GwN  
step as follows: u^p[zepW\  
l The above preliminary analysis has provided important zvj >KF|y  
information /_(Dq8^g@  
l Various methods have been proposed for selecting an optimum... %syBm  
l These concepts have been applied to p}z0(lQ*~  
l On the basis of the concept mentioned above, 1 j8,Zrg1  
l This can be achieved by  S_6 ;e|  
l This fact suggests that a new concept ?[">%^  
l This was accomplished by taking ...  i 9"1  
)9->]U@  
l The preparatory stage is very time consuming process. ?H?r!MZ%  
l Test are performed for validity, completeness, and compatibility tDkq wF),  
l There is little hope of achieving successful ... JN!YRcj  
l There has been an increasing awareness of the potential of using W&#Nk5d  
most ..so far made have not taken this approach, with the exception N h%8;  
of us+adS.l&  
l Only a few studies can be found. * PPFk.#x  
l It is a very tedious process to go through yAe}O#dy  
l It is only when .. has been completed that .. may be effected M}u2aW2]X  
l The entire interpretation process is conducted in one's head. Mt`.|N;y!  
l These approaches are sometimes very tedious. tWuQKN`_  
l Several techniques can be used tA.C"  
l A polynomial parametric model can be written as [the t !GY>u>`  
following]/[follows]: M\3!elp2z  
l A xx model is constructed/formulated using xx. I%Z &i-33y  
l A xx model represents an xx by its xx. XJ+sm^`vOf  
l A process decision model captures the logic essential to ly2R8$Y`y`  
l From the equation above, xx is equal to the summation of xx KtE`L4tW6  
times the ... <U*d   
l The validity of a xx model can be checked using Euler's formula. hSmM OS{  
l Given a model, one can mathematically determine whether ... or ... 2+HiaYDZ  
l Equations for xx need to be derived and implemented in the M-_)CR  
system. ORN E>6J H  
l A number of heuristic rules have been developed for Bb)J8,LQ  
l Optimum .. techniques can be made more reliable by ... so that Uka 4iya  
l An algorithm based on the characteristic ... is used to determine _C?K;-v}  
l Euler's formula states the following: "q8wEu,z[  
l The completed model should agree with the formula. G>j/d7  
l For manufacturing purposes, a detailed and precise model of the EifYK  
object is necessary ^H'#*b0u  
l Engineering design models are very well defined; therefore, w}iflAnjq  
l To keep the domain narrow enough to be implementable, yet wide UOyP6ej  
enough to O`eNuQSv  
be useful. 0)Z7U$  
Ua4} dW[w  
Point of View 8cHZBM7'  
l from an implementation standpoint, I('l )^m%  
l From the point of view of this application, Ur@3_F  
l From this point of view, Zadeh suggested an inference rule named DE[y&]/C{  
xxx (CRI for short). Tb[GZ,/%;  
l Information is the meaningful interpretation and correlation of l!1bmg#]$  
some aggregation of data in order to allow one to make decisions. W$y?~2  
l From a practical point of view, the computational aspects of an W\Gg!XsLk  
FLC require a simplification of the fuzzy control algorithm. I^o^@C  
l The use of a hammer to insert screws, although partly effective, V1+IqOXAIp  
tends to distort, destroy, and generally defeat the purpose of using a |:AjQ&PM)  
screw [Kusiak AI Implications for CIM p.129] =y<Fz*aA  
Justification ~DSle 3  
l We choose the so called xx in our experiment because it has 87-oR}/r  
received wide acceptance and can z w0p}  
l Prolog was chosen because it offers a well known and flexible OSBE5  
environment in which fuzzy reasoning may be easily implemented. {*: C$"L  
l The rationale behind this is that it can be much easier for an tIg_cY_y  
estimator to rate a cost as high than to attempt to place a dollar dCinbAQ  
value on the estimate. %c&h:7);  
l This strategy has been widely used in fuzzy control applications %T&kK2d;  
since it is natural and easy to implement. bv+PbK]iO  
l A function definition expresses the membership function of a >yaRz+  
fuzzy set in a functional form, typically a bell-shaped function, etc. 4|~o<t8  
Such functions are used in FLC because they lead themselves to %rf<YZ.\  
manipulation through the use of fuzzy arithmetic. O)hNHIF  
l It should be noted that in our daily life most of the information on Wg#>2)>  
which our decisions are based is linguistic rather than numerical in 0s(G*D2%6  
nature. Seen in this perspective, fuzzy control rules provide a natural Ts.6 1Rx  
framework for the characterization of human behavior and decisions VH8,!#Q;  
analysis. |d{4_o90  
l Many experts have found that fuzzy control rules provide a DlaA-i]l  
PJ);d>tz  
convenient way to express their domain knowledge. This explains WXJ%bH  
why most FLCs are based on the knowledge and experience which .}^m8PP  
are expressed in the language of fuzzy "if-the" rule. 5Ba eHzI  
Chapter 4. Examples %/4ChKf!VR  
Example/ Data m'Ran3rp  
l The data used in the following example was taken from an 6<gh:vj  
experiment in which xx was measured between x and x using a xx hivWQ$6%  
technique. aCQAh[T  
l The data consists of over xx measurements. F6yMk%  
l An example of xx is discussed and the control rules of xx are x2 l~aw#?  
compared with a xx .|!Kv+yD  
l Examples of complex processes to which this technique may be Uh{|@D  
applied are xx, xx, etc. ?8pRRzV$  
l The following example is constructed only for the purpose of _pL:dKfy7  
illustrating the computational procedure discussed. Gq?JMq#  
l This example clearly demonstrates that the profile of an individual x:GuqE  
xx, or a very small group of xx, with no enough data to be studied L2+~I<|>  
statistically, can be meaningfully analyzed by fuzzy possibilistic udgf{1EB&2  
methods. uvi+#4~G  
l There is no space here to go into detail on all these methods, but p4[cPt~C  
deserve a mention and the bibliography will point to detailed 5*C#~gd& F  
references for those wishing this level of detail. C`Zz\DNG@  
l Note that the golf ball spotting example is used throughout the n2cb,b/7  
paper. zr2oU '+  
Comparisons #L ffmS  
l As well, the pros and cons of these representations from a process )CKPzNf  
planning point of view will be discussed. HW"@~-\  
l The method of using xx to implement xx described by Zadeh Dg W*Br8<  
(1973) appeared more suitable r1ao=N  
l As discussed [in the previous section]/[preciously], ?NWc3 .  
EZypqe):/C  
Relation QY|Rz(;m  
l We can not invert F' directly because it defines a many-to-one B)* ?H=f/  
mapping. it77x3Mm F  
l The relationships appear very complicate ^ZuwUuuf  
l Lifting tasks involve complex and imprecise relationship between O%}?DiSl  
the task variables and the human operator's characteristics. juIi-*R!  
l These methods are based on the relationship between ... and ... #g=7fu{n:  
l The fundamental concept of a fuzzy rating language is that we can h9RL(Kq{  
establish a relationship among terms such as high, medium, and low, 9?]69O  
and then modify these relationships. x,L<{A`z  
l This article will thus mention the latter as well as the former. ;S0Kf{DN2  
l The former two bear a close relation to a fuzzy Cartesian product. 4 '"C8vw.  
Importance #|8Ia:=s  
l The emphasis is on an implementation of a general approach to 5Q7Z$A1a 9  
rule based decision making. M47t(9krV  
Consideration / Attention y90wL U9f  
l Careful evaluation is necessary to ensure x/NjdK  
l Such a formulation does not change further considerations. z|bAZKSRYx  
l Considerable attention has been paid to g ^I ?u$&E  
l Attention should be paid to an important finding of this ?mwa6]  
investigation.  Z2a~1BL  
l Caution should be exercised in this process to avoid ... ghGpi U$  
l Primary consideration is given to ... components, though others V9Pw\K!w#\  
can be accommodated oZ5 ,y+L4  
l After ... has been defined by ..., a carefully analysis is carried o4U0kiI@  
out/performed to determine |W*#N8I P  
l A number of factors such as ...need to be taken into consideration *47HN7  
before making the appropriate decision. o3W@)|>  
l It should be noted that X6<Ds'I  
l It is important to point out that ... zb3,2D+P  
l These considerations have heightened interest in the possibility of C <Pd_&  
providing ... 1 HY K& ',  
YWAH(  
l We should stress the fundamental importance of the xx ;F|8#! (  
Chapter 5. Results. w?V;ItcL  
Advantages / Disadvantage dWTc3@xd  
l One of the major advantages of this new measure of xx is that it |@5G\N-  
can be applied to the experimental study of m*|G 2  
l One advantage of using a .. is the ease of preparing it. ra;:  
l The xx system is versatile m yy*rt  
l It has a very fast decision making process 0SR[)ma  
l All the algorithms involve mostly logical operations. MbxJ3"@  
l It can be easily and without additional cost implemented in a v]\T &w%9  
microprocessor-based environment. 6zIK%<  
l It can reduce the waste of designing from scratch. !i_~<6Wa7  
l The advantages of using a xx to represent xx are the following: .=N?;i  
l However, xx is not without its shortcomings. !t[;~`d9  
l In most cases, the xxx shows an improvement over the existing SohNk9u[8  
xxx. <m/XGFc  
l Compared to the existing xx, the impacts of the xx are generally cx[[K.  
reduced by 5% to 9%. YpgO]\/w  
l The "best case" results shows a savings of 6% to 9%. G<P/COI#M5  
l Most of the existing works based on xx approach can only .qLX jU  
recognize a xx . =gC% =  
l Most of the above methods are computational expansive and p7W9?b9  
limited to xx. X MzQ8|]  
l Some other advantages of xx are the following: Yfx ?3  
l The problem is the limitation of this method to a limited domain of HQSFl=Q  
parts. /IlO   
l It proved limited in application because it demanded precision in F-XMy>9  
system modeling that was impossible in practice. ]@m`bs_6  
l There are advantages to be gained in the structuring of costs and 8_Z"@  
benefits, the use of xx, _q4Yq'dI  
l The disadvantages of this method are also disadvantages of H vHy{S4  
conventional xx approaches. 9VMk?   
9rIv-& 7'm  
l This combines the best features of both techniques TEla?N  
l Hopefully, this tool can be as the reference framework of for ]x66/O\0u  
developing a xx platform, and helping the administration, marketing, %!DTq`F  
and knowledge management activities in virtual communities. l3+G]C&<  
Results \TLfLqA  
l An improvement on the result shown above can be made by based ix38|G9U  
on the data provided Md0`/F:+2  
l Discussion of these theories is beyond the scope of this review @vL0gzE?nB  
l Based on the information contained in this ] K+8f-  
l The result can be categorized into nine classes 11Uu5e!.  
l The results are illustrated by an example F$'po#  
l The experimental results for each xx time are reported in Table 2. |[p]]) o  
l From the results obtained so far, it seem that k@pEs# a  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn WR u/7$8  
as w4R~0jXy  
l Although much effort has been made to., this reality is far from #bCUI*N"P  
completion. s@g _F  
l The results indicate that the total benefits are higher than the +jS<n13T  
total costs. ERIF#EY  
l Their results may then serve as guidelines for lower level models, 'Hgk $Im+  
less fuzzy and more detailed. /8u}VYE  
Chapter 6. Conclusion 6W~JM^F  
l From the discussion, one may conclude that ... 9?^0pR p  
l Form the above discussion, the conclusion can be reached that \w&R`;b8w  
l The conclusions drawn are also valid 7\X_%SM%  
l In conclusion to this, it becomes obvious that the problem of xx =$T[  
lies not only in... /7ShE-.5#  
l We have attempted to introduce some concepts associated with a 79D;0  
theory of ||fCY+x*8  
xx based on fuzzy sets. 'Tskx  
l Considerable more work, hopefully, will be done in this area O&#>i]*V  
l A fuzzy set procedure is proposed to solve xx selection problems uZ+"-Ig  
cY+n 6k5  
interwoven with imprecise data I|2dV9y  
l Employing the compositional rule of inference, the assessment of TkIiO>  
the xx compatibility in achieving prescribed xx projectiles in any h\5~&}Hp  
level of the hierarchy is made possible. G @]n(\7Y  
l This paper has presented a theoretical and experimental study of I]cZcx,<q  
the xx process and xx concept. 7\H_9o0$  
l The experimental research results will hopefully serve as useful #KuBEHr  
feedback information for improvements for xx work. wzcv[C-x  
l The scope of this contribution was to introduce a xx method. %`s1 Ocvp  
l In general, fuzzy sets theory provides an alternative foundation Zrew}0  
for xx analysis in a fuzzy environment. <p?oFD_e4  
Future Research jN(c`Gb  
l Thus, first extension of the approach could be, kX*.BZI}C  
l Present some cues for a further approach from Fuzzy Sets Theory 4tvZJS hV  
application to *ozXilO  
l Some improvements to the scheduling aspect of the model may f:AfMf>m  
be brought through additional levels in the hierarchy for more B->oTC`5  
detailed representation of the scheduling activity. qZlL6  
Tables and Figures h?f p(  
l Figure 7-1 sketches these relationships. +S1h~@c:B  
l The graphical representation of these functions is shown in Figure gQeoCBCE  
1. 5!57<n  
l The xx may be depicted as in Figure 1. a4]=4[(iu>  
l Figure x shows the schematic diagram of the M=1~BZQ(Z  
l Figure 1 though 2 provide a ... that 4KW_#d`t  
l the architecture of this expert system for .... is illustrated in Figure [t*-s1cq  
2. }_Y\6fcd  
l Figure 2 gives the outline of an ... system a!&m\+?  
l Table shows the #?Ob->v  
l as shown in Table 1 and 2 VK|$SY(  
l This concept is illustrated in Figure 2 J6nH |s8  
l At the top of Table xx are shown two blocks of data. ApcE)mjpc  
_z#S8Y  
l Each table or matrix has constructs xx through xx as ir_X65l/2  
row-headings, mE9ytFH\k  
xx through xx as column-headings. d:h X3  
l A table of .. is developed and significant recommendations are J|8 u  
made. 1V]j8  
CONJUGATION HzZX=c  
To Indicate Addition ;v ~xL!uQ  
l additionally, again, also, and then, as can be easily understood, p(yHB([8  
besides, equally important, especially, finally, for the same reason, 9"dZ4{\!  
first, further, furthermore, in addition, last, likewise, moreover, next, 1Nz#,IdQ  
second, third, too, evidently, obviously, roughly speaking, broadly G%%5lw!y'  
speaking f=>ii v  
To Indicate Cause and Effect Hc\oR(L  
l accordingly, as a result, consequently, for this reason, hence, in -)e(Qt#ewl  
short, otherwise, then, therefore, thus, truly ItG|{Bo  
To indicate Comparison "gXvnl   
l in a like manner, likewise, similarly , alternatively Gx(%AB~9$  
To Indicate Concession |(5|6r3  
l after all, although this may be true, at the same time, even though, (2/i1)Cq  
even so , I admit, naturally, of course :(4];Va  
To Indicate Contrast _D1)_?`a@-  
l and yet, at the same time, but, for all that, however, yet, in fact, in Bs<LJzS{V  
contrast, in the real life, in spite of, nevertheless, notwithstanding, f 'u[G?C  
normally, on the contrary, on the other hand, still, traditionally, B(pHo&ox  
rather, unfortunately, 31mlnDif  
To Indicate Time Relationships: <-!' V,c  
after a short time, afterwards, as indicated earlier, as long as, as soon ?M04 cvm  
S@C"tHD  
as, at last, at length, at the moment, at that time, at the same time, w6[$vib'  
before, earlier, currently, immediately, in the meantime, in recent <}AmzeHr+  
years, lately, later, meanwhile, often, of late, presently, recently, %&4\'lE  
soon, shortly, since, thereupon, temporarily, therefore, until, when, L%f$ &  
while 9`DY6qfly  
To Indicate Special Features or Examples: Q8bn|#`  
for example, for instance, incidentally, indeed, in fact, in other words, Oz.Zxw  
in particular, in practice, specifically, that is, to illustrate, in this 21\?FQrz  
respect, theoretically, as mentioned before / above N{fYO4O  
To Indicate Summary: =L}$#Y8?  
in brief, in conclusion, in short, in summary, on the whole, to 7 6S>xnN  
conclude |r53>,oR<:  
, in general, to summarize, to sum up, as a result, ultimately, S3YAc4  
VERB PHASE |1Ko5z  
l build a .. model $ dHD  
l build up the key link T q5F'@e  
l began a new era in ... c]:@y"W5$  
l can be regarded as / achieved / used to/for / found / obtained _ 4+=S)$  
through -!ERe@k(  
l can result in '5n=tRx  
l carries out ... tasks s B!2't  
l production information in order to simultaneously WFpR@53Db  
l contains all information necessary to describe 0d=<^wLi^  
l do not make use of production information =v/x&,Uj@6  
l deals with {,i='!WIm  
l end with failure '#x<Fo~hT  
l fetch the information from the model directly [KwwhI@3  
l has great potential / yet to be resolved / spurred the Q@#Gm9m  
development of / XY`2>7  
been recognized as f= l*+QY8f  
l BE aimed at / built up / carried out by / essentially concerned XvW $B|  
%uhhQ<zs%  
with / considered to be the key technology / associated with each 8r sv8OO  
feature of a compo L\UM12  
site component / cable of / currently implemented for / gb/M@6/j  
demonstrated by an example / finally reached / made equal to / VR0#"  
equivalent to / more suitable to / oriented to / interpreted as / Li\BRlebR{  
pointed out / potentially of great benefit in the complex task of / .:#6dG\0z  
shown in / used to effectively guide the search A)q,VSR8  
l makes use of 4Vi&Y')f  
l make up n;Etn!4M  
l meets the needs of real life production,/ the current demands j>OB<4?.+  
placed upon it 8?7:sfc  
l must be justified >w=xGb7  
l point out :WBl0`kW]4  
l play an important role  g8_IZ(%:  
l relates to \4`2k  
l rely on !Rw\k'<GKX  
l satisfy the needs lCyp&b#(L  
l determine the total requirements for the ... L~FE;*>7  
l uses ... as a key to search for... 'u2Qq"d+  
l without relying on +iPS=?S  
l will be available/ performed/ overlooked ~:srm#IX  
NOUN PHASE ,FPgbs  
l a basic technical function of  VSkx;P  
l a critical need BDg6Z I<n  
l a key / principle feature of ,uP1U@Cas  
l a substantial impact on h D/b O  
l an intensive review was conducted s"?&`S  
l an increasing need for expanding the application of .... Pne[>}_l/  
l an important component / function / aspect / issue .W&rcqy  
l each rule is numbered in sequence u[oYVpe)IG  
l each of these involves JPk3T.qp  
l for this calculation, it is necessary to define GJqSN i}  
l in the physical environment / integration of 3;`93TO{  
mlgdw M  
l in the reality of situations where … c"J(? 1O  
l many aspects of um&e.V)N  
l most past efforts have been spent on ... RS/%uxS?  
l common sense to a well studied and documented technical field. |[ |X  
l sources of additional information on ... are listed 9bXU!l[  
l systematic and rationally structured format ASaG }h  
l the basis on which a range of ...operations can be established is v4|kiy  
shown (vjQF$Hp  
l THE basic philosophy / principles of / key element / general W^&t8d2  
hypothesis / candidate list of / concept of ... has attracted wide 4!6g[[| &J  
interest / function is concerned with / heart / impact / nature / role Z[`J'}?|  
/ task of / kernel functions $Y aL3n  
l the number of parts needed to Qq]UEI `Go  
l the above statement means that OG 5n9sx  
l the output data is passed to O,JthlAV4  
l the proposed method / underlying principle :eQx di'  
l the recommendations made in this report, if implemented, should xY t{=  
l this information resides in *vsOL 4I%  
l this process is composed of ... different ... operation W.:k E|a.g  
l along with the use of o`j%$K4?5  
l concerning general aspects of HNjkRl)QR  
l due to Gh|1%g"gm  
l for later use in generating..., E4y"$U%.  
l in turn, bJB:]vs$  
l IT IS believed / noted / assumed / suggested / shown / quite ~?b(2gn  
evident / appears / implies that / intended for / of no important to Z/x<U.B  
l it can be claimed/concluded that ^QW%< X  
l it demonstrates the decisions required of gi;V~>kh  
l it also provides information to .. oS,<2Z  
l it becomes essential to 4?yc/F=kI  
l let ... be the probability that J;T_ 9  
l once... is written, it is compiled into... (uV7N7 <1  
l suppose it is observed that 'pm2C6AC  
l this is because Q}fAAZ&7h  
GF/p|I D  
l this results in a U5Ho? `<  
l upon completion of the ... analysis, ^jmnE.8R  
l when the knowledge is of mathematics or quantum physics, it will /{kyjf[o&*  
also be .cZ&~ N  
recorded in books and papers 09%eaoW  
l selection of rules for using the tools, for generating operation \GvVs  
plans, +j@|D@z  
is another matter of preference, since practice varies greatly. ReK@~#hLY  
l for the sake of convenience ^c(PZ,/#JB  
l correct decision to be reach /d{L]*v)]  
l keeping the number of rules to a minimum. wyc,Ir  
l a good process plan will result exhibiting several characteristics: NI^Y%N  
l practical solutions 4 ^+hw;  
l because of rather small job lot sizes HRb_ZJz  
l Backward reasoning can be used to answer the question "should Iiy:<c  
milling tool be select" different level of knowledge in the realm of e:,.-Kvzp`  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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