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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 Gw{Gt]liq  
7}.#Z  
p ~,a=  
Beginning rD:gN%B=  
1. In this paper, we focus on the need for E geG,/-`  
2. This paper proceeds as follow. GN"M:L ^k`  
3. The structure of the paper is as follows. AAIyr703cQ  
4. In this paper, we shall first briefly introduce fuzzy sets and related =;~%L  
concepts W}#QKZ)MB  
5. To begin with we will provide a brief background on the z*??YUT\M  
Introduction S!`4Bl  
1. This will be followed by a description of the fuzzy nature of the -D.B J(  
problem and a detailed presentation of how the required .y/NudD  
membership functions are defined. T! &[  
2. Details on xx and xx are discussed in later sections. P#vv+]/  
3. In the next section, after a statement of the basic problem, various UUdu;3E=5  
situations involving possibility knowledge are investigated: first, an ];d5X  
entirely possibility model is proposed; then the cases of a fuzzy :IP;Frc MP  
service time with stochastic arrivals and non-fuzzy service rule is ?{ 8sT-Z-L  
studied; lastly, fuzzy service rule are considered. 0-;DN:>  
Review r{Qs 9  
1. This review is followed by an introduction. +O.&64(  
2. A brief summary of some of the relevant concepts in xxx and xxx is fl5UY$a2-  
presented in Section 2. _{2Fx[m%  
3. In the next section, a brief review of the .... is given. T@d_ t  
4. In the next section, a short review of ... is given with special regard  *pS7/ Qe  
to ... qH {8n`  
5. Section 2 reviews relevant research related to xx. 8JjU 9#  
6. Section 1.1 briefly surveys the motivation for a methodology of _.Z&<.lJ  
action, while 1.2 looks at the difficulties posed by the complexity of A .jp<>  
systems and outlines the need for development of possibility (DEL xE  
methods. \@ WsF$  
Body ?hry=I(7r  
1. Section 1 defines the notion of robustness, and argues for its r[UyI3(i^  
dc\u$'F@S  
importance. 3-_U-:2"  
2. Section 1 devoted to the basic aspects of the FLC decision-making Z)6nu)  
logic. >2/wzsW  
3. Section 2 gives the background of the problem which includes xxx fn?6%q,!ls  
4. Section 2 discusses some problems with and approaches to, yG4LQE  
natural language understanding. 6b+ Wl Ib  
5. Section 2 explains how flexibility which often ... can be expressed |/T<]+X;  
in terms of fuzzy time-window 28UL   
6. Section 3 discusses the aspects of fuzzy set theory that are used in kj<D4)  
the ... \{+nXn  
7. Section 3 describes the system itself in a general way, including :UJUh/U  
the ….. and also discusses how to evaluate system performance. <p L;-  
8. Section 3 describes a new measure of xx. gQk#l\w _  
9. Section 3 demonstrates the use of fuzzy possibility theory in the vElL.<..  
analysis of xx. abJ@>7V  
10. Section 3 is a fine description of fuzzy formulation of human ad3z]dUZ9  
decision. hiK[!9r  
11. Section 3 is developed to the modeling and processing of fuzzy G4iLCcjY  
decision rules cJ(zidf_$  
12. The main idea of the FLC is described in Section 3 while Section 4 I$6 f.W  
describes the xx strategies. ubN"(F:!-S  
13. Section 3 and 4 show experimental studies for verifying the I}G}+0geV  
proposed model. G}?P r4Gj  
14. Section 4 discusses a previous fuzzy set-based approach to cost )r6SGlE[Y  
variance investigation. 4k&O-70y4^  
15. Section 4 gives a specific example of xxx. Eztz ~oFo  
16. Section 4 is the experimental study to make a fuzzy model of LN3dp?;_{  
memory process. +q_lYGTi O  
17. Section 4 contains a discussion of the implication of the results of 7s fuju(  
Section 2 and 3. E[Ws} n.  
18. Section 4 applies this fuzzy measure to the analysis of xx and {@K2WB  
illustrate its use on experimental data. O]%m{afM  
19. Section 5 presents the primary results of the paper: a fuzzy set t ]I(98pY  
model .. Q"K>ML>0  
2p;}wYt  
20. Section 5 contains some conclusions plus some ideas for further }vxH)U6$q  
work. !wb~A0m  
21. Section 6 illustrates the model with an example. Y/ac}q  
22. Various ways of justification and the reasons for their choice are F+y`4>x  
discussed very briefly in Section 2. 0qd;'r<  
23. In Section 2 are presented the block diagram expression of a J)yy}[Fx  
whole model =UKR<@QrK  
of human DM system 7D~O/#dcc  
24. In Section 2 we shall list a collection of basic assumptions which =&b$W/l)0  
a ... scheme must satisfy. >8fz ?A  
25. In Section 2 of this paper, we present representation and e}4^N1'd/  
uniqueness theorems for the fundamental measurement of fuzziness .s*EV!SE  
when the domain of discourse is order-dense. +=H>s;B  
26. In Section 3, we describe the preliminary results of an empirical ^FMa8;'o  
study '%RK KA  
currently in progress to verify the measurement model and to  nIDsCu=A  
construct membership functions. bq&S?! =s  
27. In Section 5 is analyzed the inference process through the two DMxS-hl  
kinds of inference experiments... \lakT_x  
This Section Jx>B %vZ\  
1. In this section, the characteristics and environment under which m^x\@!N:(  
MRP is designed are described. CU`Oc>;*T  
2. We will provide in this section basic terminologies and notations Vh2/Ls5  
which are necessary for the understanding of subsequent results. x)wt.T?eL  
Next Section Fx:en|g  
2. The next section describes the mathematics that goes into the SF7b1jr  
computer implementation of such fuzzy logic statements. nK'8Mo  
3. However, it is cumbersome for this purpose and in practical m;+1;B  
applications the formulae were rearranged and simplified as GJt9hDM$0  
discussed in the next section. 4-rI4A<  
4. The three components will be described in the next two section, 7`<? f O  
and an example of xx analysis of a computer information system will 14YV#o:  
-&D6w9w  
then illustrate their use. skx=w<YO6]  
5. We can interpret the results of Experiments I and II as in the }J'w z;t1  
following sections. safS>wM]  
6. The next section summarizes the method in a from that is useful A'-YwbY  
for arguments based on xx )bU")  
Summary $<% nt  
1. This paper concludes with a discussion of future research ]sP9!hup  
consideration in section 5. F8;4Oj  
2. Section 5 summarizes the results of this investigation. .LcE^y[V  
3. Section 5 gives the conclusions and future directions of research. 78~V/L;@S2  
4. Section 7 provides a summary and a discussion of some extensions JU1; /3(  
of the paper. Y'*h_K  
5. Finally, conclusions and future work are summarized U9sub6w6  
6. The basic questions posed above are then discussed and c O>:n  
conclusions are drawn. 3Cu oB b8  
7. Section 7 is the conclusion of the paper. cD@lor j  
Chapter 0. Abstract QjN3j*@  
1. A basic problem in the design of xx is presented by the choice of a L\CM);y  
xx rate for the measurement of experimental variables. G/44gKl  
2. This paper examines a new measure of xx in xx based on fuzzy ~cj:AIF  
mathematics which overcomes the difficulties found in other xx @_ ZW P  
measures. Nh/ArugP5P  
3. This paper describes a system for the analysis of the xx. ! -nm7Q  
4. The method involves the construction of xx from fuzzy relations.  Jiylrf`o  
5. The procedure is useful in analyzing how groups reach a decision. ~6i mkv^ F  
6. The technique used is to employ a newly developed and versatile _?LI0iIFx  
xx algorithm. IVODR  
7. The usefulness of xx is also considered. =C1Qo#QQ%  
8. A brief methodology used in xx is discussed. >8t[EsW/  
9. The analysis is useful in xx and xx problem. c}s3c >`d  
10. A model is developed for a xx analysis using fuzzy matrices. #|E. y^IC  
11. Algorithms to combine these estimates and produce a xx are BTtYlpN6  
xmd$Jol^  
presented and justified. ?|yJ #j1=  
12. The use of the method is discussed and an example is given. qqre d>K  
13. Results of an experimental applications of this xx analysis d0E5;3tQ  
procedure are given to illustrate the proposed technique. 8so}^2hTlT  
14. This paper analyses problems in N Z9,9  
15. This paper outlines the functions carried out by ... ~36XJ  
16. This paper includes an illustration of the ... o|E(_ Y4d  
17. This paper provides an overview and information useful for <)rH8]V  
approaching 1&E&8In]$r  
18. Emphasis is placed on the construction of a criterion function by f\w4F'^tj  
which the xx in achieving a hierarchical system of objectives are XaSl6CH  
evaluated. -q|M=6gOs  
19. The main emphasis is placed on the problem of xx 7@]hu^)rry  
20. Our proposed model is verified through experimental study. L6qA=b~iz  
21. The experimental results reveal interesting examples of fuzzy 9j9?;3;  
phases of: xx, xx 36UW oo  
22. The compatibility of a project in terms of cost, and xx are likewise mz '8  
represented by linguistic variables. g; @PEZk1  
23. A didactic example is included to illustrate the computational <!$Cvx\U  
procedure ga%77t|jm3  
Chapter 1. Introduction vUA`V\  
Time Zwl?*t\D  
1. Over the course of the past 30 years, .. has emerged form intuitive 1-<Xi-=^{t  
2. Technological revolutions have recently hit the industrial world < 3OV  
3. The advent of ... systems for has had a significant impact on the EB,>k1IJ  
4. The development of ... is explored 'KG`{K $  
5. During the past decade, the theory of fuzzy sets has developed in a ,oe4*b}O=.  
variety of directions '(*D3ysU  
6.The concept of xx was investigated quite intensively in recent years hw2Hn   
7. There has been a turning point in ... methodology in accordance & 2^V<(19  
with the advent of ... c8MNo'h  
8. A major concern in ... today is to continue to improve... Stpho4+/y  
9. A xx is a latecomer in the part representation arena. iqYc&}k,  
6!N&,I  
10. At the time of this writing, there is still no standard way of xx j>zVC;Sj*  
11. Although a lot of effort is being spent on improving these >[U$n.  
weaknesses, the efficient and effective method has yet to be #'oKkrl  
developed. 0Jrk(k !  
12. The pioneer work can be traced to xx [1965]. hJ :+*46  
13. To date, none of the methods developed is perfect and all are far q\<vCKI-^  
from ready to be used in commercial systems. glpdYg *  
Objective / Goal / Purpose usi p>y  
1. The purpose of the inference engine can be outlined as follows: 2UquN0  
2. The ultimate goal of the xx system is to allow the non-experts to ^C{a'  
utilize the existing knowledge in the area of manual handling of loads, ohl%<FqS  
and to provide intelligent, computer-aided instruction for xxx. Qt$Q/<8U  
3. The paper concerns the development of a xx -rfO"D>  
4. The scope of this research lies in Ho/5e*X  
5. The main theme of the paper is the application of rule-based vL7}0n>tz  
decision making. Tq+pFEgQ`@  
6. These objectives are to be met with such thoroughness and LY MfoXp  
confidence as to permit ... UJI1n?~  
7. The objectives of the ... operations study are as follows: >=bO@)[  
8. The primary purpose/consideration/objective of u/AN| y  
9. The ultimate goal of this concept is to provide T&%>/7I>  
10. The main objective of such a ... system is to Z.<B>MD8^  
11. The aim of this paper is to provide methods to construct such 0=04:.%D  
probability distribution. 4 _ 3\4  
12. In order to achieve these objectives, an xx must meet the :;EzvRy  
following requirements: 7@`(DU`z  
13. In order to take advantage of their similarity %$08*bAtB7  
14. more research is still required before final goal of ... can be P*}Oi7Z  
completed vDemY"wz  
15. In this trial, the objective is to generate... v1: 5 r  
16. for the sake of concentrating on ... research issues h*Ej}_  
17. A major goal of this report is to extend the utilization of a recently )wC>Hq[mhW  
developed procedure for the xx. 22GtTENd1h  
h )w<{/p(  
18. For an illustrative purpose, four well-known OR problems are X'5te0v`3  
studied in presence of fuzzy data: xx. 0-@waK  
19. A major thrust of the paper is to discuss approaches and cNHN h[ C  
strategies for structuring ..methods ve$P=ZuM  
20. This illustration points out the need to specify T+\BX$w/4e  
21. The ultimate goal is both descriptive and prescriptive. d;>:<{z@CD  
22. Chapter 2. Literature Review )2a!EEHz  
23. A wealth of information is to be found in the statistics literature, i"-j:b:c<  
for example, regarding xx >IRo]-,  
24. A considerable amount of research has been done .. during the &Z9b&P  
last decade E*kS{2NAq  
25. A great number of studies report on the treatment of 9J<KR #M  
uncertainties associated with xx. Y.-i;Mmu  
26. There is considerable amount of literature on planning <4Ak$ E %"  
27. However, these studies do not provide much attention to U_w)*)F  
uncertainty in xx. <)M?qkjb  
28. Since then, the subject has been extensively explored and it is p 0-\G6  
still under investigation as well in methodological aspects as in <Wl! Qog'  
concrete applications. HzW ZQ6o  
29. Many research studies have been carried out on this topic. 0ya_[\  
30. Problem of xx draws recently more and more attention of system &We'omq  
analysis. P afmHXx  
31. Attempts to resolve this dilemma have resulted in the _I2AJn`#  
development of WC`<N4g|  
32. Many complex processes unfortunately, do not yield to this @#sQ7eMoy  
design procedure and have, therefore, not yet been automated. 8R)*8bb  
33. Most of the methods developed so far are deterministic and /or !Qn:PSk  
probabilistic in nature. O9!<L.X,%  
34. The central issue in all these studies is to o8bV z2E  
35. The problem of xx has been studied by other investigators, tk~7>S  
however, these studies have been based upon classical statistical R\6#J0&Y-  
approaches. <TDgv%eg0  
36. Applied ... techniques to -Ndd6O[ a5  
37. Characterized the ... system as 7HFw*;  
AM\`v'I*6  
38. Developed an algorithm to h}.0Ne  
39. Developed a system called ... which cLX~NPD/  
40. Uses an iterative algorithm to deduce Hz28L$  
41. Emphasized the need to H!HkXm"  
42. Identifies six key issues surrounding high technology Gu9Ap<>!  
43. A comprehensive study of the... has been undertaken c[ga@Vy  
44. Much work has been reported recently in these filed pM.>u/=X  
45. Proposed/Presented/State that/Described/Illustrated/ V&[|%jm&   
Indicated/Has shown / showed/Address/Highlights 0!\pS{$zB  
46. Point out that the problem of ,253'53W)  
47. A study on ...was done / developed by [] ^\J/l\n  
48. Previous work, such as [] and [], deal only with XP~4jOL]  
49. The approach taken by [] is [Nsv]Yz  
50. The system developed by [] consists kznmA`#jn  
51. A paper relevant to this research was published by [] 0vf2wBK'T  
52. []'s model requires consideration of... l. !5/\  
53. []' model draws attention to evolution in human development 6E85mfFS  
54. []'s model focuses on... P]1`=-  
55. Little research has been conducted in applying ... to $D<LND=o=  
56. The published information that is relevant to this research... 6xvyhg#B  
57. This study further shows that ney6 N@  
58. Their work is based on the principle of _T)dmhG  
59. More history of ... can be found in xx et al. [1979]. =;`+^  
60. Studies have been completed to established Z<;am  
61. The ...studies indicated that 4F^(3RKZ|  
62. Though application of xx in the filed of xx has proliferated in #'_i6  
recent years, effort in analyzing xx, especially xx, is lacking. BMgiXdv.B  
Problem / Issue / Question t9;yyZh  
63. Unfortunately, real-world engineering problems such as R*VJe+5w  
manufacturing planning do not fit well with this narrowly defined z%<Z#5_N  
model. They tend to span broad activities and require consideration 2 <y!3OeN  
of multiple aspects. gR )xw)!  
64. Remedy / solve / alleviate these problems z|x0s0q?  
67. ... is a difficult problem, yet to be adequately resolved YQ:F Bj  
MDM/~Qpj_  
68. Two major problems have yet to be addressed Lp`q[Z*  
69. An unanswered question Xb@lKX5Re  
70. This problem in essence involves using x to obtain a solution. {R5Q{]dK3  
71. An additional research issue to be tackled is .... xxLD8?@e7  
72. Some important issues in developing a ... system are discussed 1O"7%Pvw  
73. The three prime issues can be summarized: _3i .o$GO  
74. The situation leads to the problem of how to determine the ... 8!(4;fN$j.  
75. There have been many attempts to -|"W|K?nq  
76. It is expected to be serious barrier to mI_ ?hl?Pv  
77. It offers a simple solution in a limited domain for a complex Vv8e"S  
problem. 6n RXRO  
1. There are several ways to get around this problem. |j3mI\ANF  
2. As difficult as it seems to be, xx is by no means new. WqlX'tA  
3. The problem is to recognize xx from a design representation. Lf`LFPKb  
4. A xx problem can trace its roots to xx. ZJlmHlAX  
5. xx [1987] used a heuristic approach to simplify the complexity of ?=}~]A5N  
the problem. G$kspN*"A  
6. Several problems are associated with them. ,1J+3ugp&  
7. Although some progress has been made in this area, at least two MBXja#(k  
major obstacles must be overcome before a fully automated system lv\C(^mGq  
can be realized. f_y+B]?'M  
8. Most problems in practice are complicated +0lvQVdp}  
9. More problem surface here. >*rH Nf  
10. Hamper effort toward a xx system >T: Yp<  
11. In order to overcome the limitations due to incomplete and sz4)xJgF (  
imprecise xx knowledge, a xx program has been developed, which f-!t31?XK  
bases its knowledge upon the statistical analysis of a sample |O =Fz3)  
population of xx vl+vzAd  
12. The above difficulties are real challenges faced by researchers Q%:#xG5AmE  
attempting to develop S,A\%:Va  
13. This type of mapping raises no controversy to the issue of 2O}UVp>  
membership function determination. k=L(C^VP  
14. However, attempts to quantify the xx have met both theoretical }H2<w-,+  
and empirical problems. H]>b<Cs  
;/.ZjTRw  
15. It has become apparent that in order to apply this new Ck<g0o6  
methodological framework to real-world problems and data, we have e}e|??'(\  
to pay attention to the problems of xx and xx. g_{hB5N](7  
Chapter 3. Proposed methodology TXx%\V_6  
Assumption >:7W.QLRU  
1. In the case when the assumption of a xx seems to be too "7Qc:<ww  
restrictive or inadequate, the formulation with Fuzzy termination 'Y`.0T[&  
time, i.e. given by a fuzzy set in the space of control stages, may be i&KD)&9b#  
applied. I[b@U<\  
2. We assume here the fuzzy constraints to be state-dependent, and K5(:UIWx  
the fuzzy goal to be the same for all the control states, xx, which ai/VbV'|  
stems from the problem's nature. )'\pa2  
3. An approach to the solution of this problem is presented under the f?xc-lX5R  
assumption that the sampling rate Decision can be made prior to the L\p@1N?K  
execution of the experiment, as opposed to being made while the p_z_d6?  
experiment is in progress. l+$ e|F  
4. Another assumption made above is that there are precise odds at .^]=h#[e  
which the expert is indifferent. NUiNn 7C  
5. Main simplifying assumptions are: [Tv!Pc  
6. This, in our view, is a questionable assumption. 3)SO-Bz\  
Outline / Structure / Module :{pJ  
1. An outline of the research G4Y]fzC  
2. Information is incorporated within the scheme q!l[^t|;  
3. Is built into ... structure CfFNk "0{  
4. A nice modular structure. /mST<{(_G\  
5. The principles of ... are applied as modularized criteria S9Kay'.aJ(  
Classification J(&a,w>p  
1. A xx system comprises three main components: m<ZwbD  
2. Must decompose the original .. into a set of .. HRF4 Ro  
3. Consists of the following steps: R!7emc0T  
4. This is summarized in the following steps: V0p@wG3  
x)@G+I \u  
5. Can be broadly classified into the following areas: qx! NU}6  
6. Can be characterized by its function of effectively processing the l\l\T<wa,  
7. Can allow further breadth of application of ...into more -B\`O*Q  
8. The following steps should be followed h 9V9.'  
9. xx can be classified by a different ways. ye U4,K o  
10. Based on the xx, one may classify xx into the following: D_E^%Ea&`  
11. This catalog may change due to wear, breakage, and purchasing. A{hwT,zV:  
System ku,Y-  
1. Unlike many conventional program, expert systems do not \IQP` JR  
usually deal with problem for which there is clearly a right or wrong 5gq3 >qo  
answer. 7M: 0%n$  
2. The system consists of both ... and ... k|l"Rh<\~  
3. The system has a hierarchical modular architecture organized on ;8sEE?C $g  
three levels. !ViHC}:   
4. expert system domains are area of expertise RB'12^[  
5. To develop a xx system for xx, the following factors must be fU~>A-P  
considered: Ch ` Omq  
6. The system has been developed / designed to determine lkp!S3,  
7. The system has proven to be able to DSix(bs9  
8. The domain in which an expert system operates is a particular `xbk)oW#  
domain 6m21Y8N  
9. The system comprises a ... with $Vp&Vc8  
10. The system is [feature-oriented ] / based on the ... technique Pp N+q:(  
11. The system environment must be relatively stable ox {Cm  
12. The system is utilized to generate, load, store, update and :i*JlKHJ d  
retrieve ... "/hs@4{u9  
13. The development of a xx system has two stages: xx stage and xx t]FFGnBZ  
stage. w`1qx;/!  
14. The most essential part of .. system is the ... nngL,-v#F  
15. The successful developments in ESs have made them an C%#C|X193  
important tool in the development of ZvNXfC3Ia  
16. An automated system was developed for 5n.4>yOY  
17. In this case, the system can be considered to be generative. 4E3HYZ  
"DWw1{ 5/  
18. An interactive automatic ... system 2ok>z$Y  
19. A …. is commonly thought of as a truly integrated .. system Iu0K#.s_  
20. Should be capable of being generated from a ... system oG@P M+{  
21. xx is an important part of the integrated system. OY~5o&Oa  
22. The model consists of four rule bases, each of which addresses a OAw/  
separate problem in the hierarchy of scheduling decision. }9P)<[>  
23. The rule bases are linked to each other in a chin-like manner in e~rBV+f  
the sense that the consequent of one rule base constitutes a part of v}[KVwse  
the antecedent of the next rule base. %X GX(  
24. The rule base consists of all possible combinations of the ?\hXJih  
linguistic terms associated with the linguistic variable of the oF V9t{~j  
antecedent of a rule. x+yt| &B  
Computer System Xg!Mc<wA[  
1. The system has been implemented using Prolog language in an ~n"V0!:'4  
MS-DOS environment. Prolog was chosen because it offers a well $ Qg81mu  
known and flexible environment in which fuzzy reasoning may be 5+%BZ  
easily implemented. (a7IxW  
2. The current version of the xx program when compiled with |Z 3POD"9  
WATFOR77 results in an executable code of about 270K bytes. S2jo@bp!  
Typical run time, when run on a XX computer (an IBM compatible eMz,DYa/G  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min b@,=;Y)O  
to 2h, depending on the size (or complexity) of the problem. -]'Sy$,A  
3. Time consuming procedures have been implemented in }aX).u  
C-language and directly linked to the Prolog environment. UQW;!8J#R(  
4. The xx process, once the xx's data has been entered, requires mg >oB/,'Z  
approximately 180 seconds. &Vgjd>  
5. It should be noted that the computation was done with a 20 Hhz, _\o +9X!  
80386..209;based microcomputer equipped with a 80387 math m@HU;J\I  
co-processor. y'pG'"U]_  
6. The computer programs used for the analyses, one based on the xx hDp'=}85@  
method and the other based on the new method, were written in 3v0)oK  
FORTRAN with a compiler that supports the math co-processor. HM[BFF[;/  
7. Lisp, Prolog give maximum flexibility but also maximizes |Q:`:ODy`5  
? # G_ &  
development time. 2! wz#EC  
l Internal representation is the way a model is represented in the M6?Qw=  
computer. /Zv}u  
l An interactive menu-driven procedure is used in this study MF E%q  
l Shell can be develop very fast at the cost of time fairly severe o~GhV4vq  
limitations. D]oS R7h  
l While there is no measurable saving of time for the case involving U c9Uj  
five criteria, the saving is dramatic for the case involving 10 criteria j@9nX4Z  
-- the computation time reduces from 10 hr 40 min to about 1 min. J::SFu=  
l This combination is being implemented in an objected-oriented QT-rb~  
programming environment (Smalltalk-80 system) to solve problems *jW$ AH  
encountered in construction xxx. 3{$c b"5  
Method / Approach / Study / Process Model / Equation /Algorithm / $ \P!P.  
Rule / Formula / Technique J-,T^Wv  
l A discussion is presented of a problem-solving system <w,aS;v6jp  
l To improve the efficiency of the method, the following approach  &$+yXN  
may be applied. AMO{?:8Y;  
l In order to an investigation was made to find the causes of the (iS94}-)  
l Although large collections of rules and equations have been _N<qrH^;  
complied, none are generally accepted Y@.:U*  
l This approach will be explained and discussed thoroughly in the wL%>  
body of the report. 0q62{p7  
l This can be accomplished by ].1R~7b  
l This algorithm to compute the total cost can be described step by =CqLZ$10  
step as follows: 8\ :T*u3  
l The above preliminary analysis has provided important '{Ywb@Bc  
information Ajq<=y`NzV  
l Various methods have been proposed for selecting an optimum... n ~ =]/  
l These concepts have been applied to d ch(HB}[  
l On the basis of the concept mentioned above, fCF93,?$  
l This can be achieved by %F{@DN`  
l This fact suggests that a new concept q=6M3OnS>  
l This was accomplished by taking ... D%BV83S   
5SK.R;mn  
l The preparatory stage is very time consuming process. jN B-FVaT  
l Test are performed for validity, completeness, and compatibility ,':?3| $c  
l There is little hope of achieving successful ... pG|DT ?  
l There has been an increasing awareness of the potential of using r?[Zf2&  
most ..so far made have not taken this approach, with the exception vmk c]DC  
of 8# 9.a]AX  
l Only a few studies can be found. L%=u&9DmU  
l It is a very tedious process to go through N b+zP[C  
l It is only when .. has been completed that .. may be effected |~uCLf>  
l The entire interpretation process is conducted in one's head. n!f @JHL  
l These approaches are sometimes very tedious. B?Pu0 _|s  
l Several techniques can be used jg2>=}  
l A polynomial parametric model can be written as [the (Kx3:gs  
following]/[follows]: t&-7AjS5  
l A xx model is constructed/formulated using xx. ! 5] /2  
l A xx model represents an xx by its xx. ]V}";cm;2  
l A process decision model captures the logic essential to C~kw{g+|  
l From the equation above, xx is equal to the summation of xx rw58bkh6  
times the ... Q?Q!D+~mND  
l The validity of a xx model can be checked using Euler's formula. Xo$(zGb  
l Given a model, one can mathematically determine whether ... or ... (?oK+,v?L  
l Equations for xx need to be derived and implemented in the !WAbO(l  
system. o2&mhT  
l A number of heuristic rules have been developed for z!?xz  
l Optimum .. techniques can be made more reliable by ... so that J4=~.&6  
l An algorithm based on the characteristic ... is used to determine Y+lZT4w  
l Euler's formula states the following: [&"`2n  
l The completed model should agree with the formula. Br;1kQ%eC  
l For manufacturing purposes, a detailed and precise model of the ,uK }$l  
object is necessary N9idk}T  
l Engineering design models are very well defined; therefore, Un@dWf6'  
l To keep the domain narrow enough to be implementable, yet wide T[q2quXgk  
enough to 08cC rG  
be useful. f D2. Zh  
FL9 Dz4  
Point of View 3Vs8"BFjz  
l from an implementation standpoint, GK~uoz:^O  
l From the point of view of this application, S sGb;  
l From this point of view, Zadeh suggested an inference rule named iTwb#Q=  
xxx (CRI for short). ^ e1@o\]  
l Information is the meaningful interpretation and correlation of MA6(VII  
some aggregation of data in order to allow one to make decisions. f l9`Mgu  
l From a practical point of view, the computational aspects of an I w~R@,  
FLC require a simplification of the fuzzy control algorithm. `zw XfY,%  
l The use of a hammer to insert screws, although partly effective, e ^2n58  
tends to distort, destroy, and generally defeat the purpose of using a f; w\k7 #  
screw [Kusiak AI Implications for CIM p.129] n 9PYZxy  
Justification x8 _f/2&  
l We choose the so called xx in our experiment because it has ose(#n40  
received wide acceptance and can ($'W(DH4  
l Prolog was chosen because it offers a well known and flexible [MhKR }a  
environment in which fuzzy reasoning may be easily implemented. m Q4(<,F  
l The rationale behind this is that it can be much easier for an 1o`zAJ8|2  
estimator to rate a cost as high than to attempt to place a dollar hK+6S3-E z  
value on the estimate. G!dx)v  
l This strategy has been widely used in fuzzy control applications FkE)~g  
since it is natural and easy to implement. : e1kpQ  
l A function definition expresses the membership function of a K*I!:1;3N  
fuzzy set in a functional form, typically a bell-shaped function, etc. Kv0V`}<Yc  
Such functions are used in FLC because they lead themselves to t. y-b`v  
manipulation through the use of fuzzy arithmetic. mC2K &'[  
l It should be noted that in our daily life most of the information on 76H>ST@G|  
which our decisions are based is linguistic rather than numerical in @,Z0u2WLl6  
nature. Seen in this perspective, fuzzy control rules provide a natural B6=?Qp/f  
framework for the characterization of human behavior and decisions ;/:Sx/#s  
analysis. t:MSV?  
l Many experts have found that fuzzy control rules provide a wU6sU]P  
n,U?]mr  
convenient way to express their domain knowledge. This explains p8Z?R^$9H  
why most FLCs are based on the knowledge and experience which w 5 yOSz  
are expressed in the language of fuzzy "if-the" rule. rk6K0TQ8  
Chapter 4. Examples _j+!Fd  
Example/ Data 4 km^S9  
l The data used in the following example was taken from an =Ox}WrU~  
experiment in which xx was measured between x and x using a xx ]{oZn5F  
technique. {`QA.he.  
l The data consists of over xx measurements. dvZH~mF  
l An example of xx is discussed and the control rules of xx are q.p.$)  
compared with a xx 8[;vC$  
l Examples of complex processes to which this technique may be AHRJ7l;a  
applied are xx, xx, etc. N 0H=;CIQ  
l The following example is constructed only for the purpose of }x?F53I)  
illustrating the computational procedure discussed. 4;fuS_(X  
l This example clearly demonstrates that the profile of an individual W%4=x>J-  
xx, or a very small group of xx, with no enough data to be studied J91[w?,  
statistically, can be meaningfully analyzed by fuzzy possibilistic .4p3~r?=S  
methods. tLBtE!J$[  
l There is no space here to go into detail on all these methods, but oQ 2$z8  
deserve a mention and the bibliography will point to detailed VGmvfhf#"  
references for those wishing this level of detail. Xx"<^FS[zC  
l Note that the golf ball spotting example is used throughout the 7 p{Pmq[  
paper. s{-gsSmE  
Comparisons * :O "R  
l As well, the pros and cons of these representations from a process N ~{N Nf Y  
planning point of view will be discussed. Ut;`6t  
l The method of using xx to implement xx described by Zadeh j-":>}oW2.  
(1973) appeared more suitable O\6U2b~  
l As discussed [in the previous section]/[preciously], 5J10S  
g1s%x=7/  
Relation r-<O'^C  
l We can not invert F' directly because it defines a many-to-one Ks-$:~?5":  
mapping. yOq@w!xz  
l The relationships appear very complicate $-iEcxsi  
l Lifting tasks involve complex and imprecise relationship between T#) )_aC  
the task variables and the human operator's characteristics. ]mTBD<3\  
l These methods are based on the relationship between ... and ... w G%W{T$  
l The fundamental concept of a fuzzy rating language is that we can |_V(^b}  
establish a relationship among terms such as high, medium, and low, VPe0\?!d  
and then modify these relationships. v $Iw?y  
l This article will thus mention the latter as well as the former. u^1#9bAW8  
l The former two bear a close relation to a fuzzy Cartesian product. Ao\xse{E  
Importance ;2p+i/sVj  
l The emphasis is on an implementation of a general approach to ,#K/+T  
rule based decision making. #c^V %  
Consideration / Attention ,`@pi@ <"#  
l Careful evaluation is necessary to ensure LQ jbEYp  
l Such a formulation does not change further considerations. eTiTS*`u  
l Considerable attention has been paid to 5 4gr'qvr  
l Attention should be paid to an important finding of this 7>FXsUt_  
investigation. Ld4U  
l Caution should be exercised in this process to avoid ... S+ kq1R  
l Primary consideration is given to ... components, though others F (*B1J2_g  
can be accommodated l<6u@,%s  
l After ... has been defined by ..., a carefully analysis is carried %rzPh<>e  
out/performed to determine ,_2 -Op  
l A number of factors such as ...need to be taken into consideration i"^>sk  
before making the appropriate decision. ]A*}Dem*5  
l It should be noted that 0MG>77  
l It is important to point out that ... b;k+N`  
l These considerations have heightened interest in the possibility of !+l'<*8V  
providing ... ekM? ' 9ez  
T(b9b,ov)  
l We should stress the fundamental importance of the xx SmRlZ!%e  
Chapter 5. Results. vg z`+Zj*S  
Advantages / Disadvantage YR%iZ"`*+O  
l One of the major advantages of this new measure of xx is that it $v^hzC  
can be applied to the experimental study of }9~^}99}  
l One advantage of using a .. is the ease of preparing it. 8y;Rw#Dz  
l The xx system is versatile wQ}r/2n|^  
l It has a very fast decision making process U7r8FLl  
l All the algorithms involve mostly logical operations. )!T~l(g  
l It can be easily and without additional cost implemented in a ']_2@<XW)  
microprocessor-based environment. 5)[~ T2j!  
l It can reduce the waste of designing from scratch. /jbAf]"F;  
l The advantages of using a xx to represent xx are the following: <`H0i*|Ued  
l However, xx is not without its shortcomings. e+ xQ\LH  
l In most cases, the xxx shows an improvement over the existing !jCgTo y  
xxx. 1!#85SMx  
l Compared to the existing xx, the impacts of the xx are generally NvR{S /Z  
reduced by 5% to 9%. &!!*xv-z  
l The "best case" results shows a savings of 6% to 9%. @u~S!(7.Wi  
l Most of the existing works based on xx approach can only |3H+b,M5  
recognize a xx . \2SbW7"/;P  
l Most of the above methods are computational expansive and ?J}Q&p.  
limited to xx. $] 6u#5  
l Some other advantages of xx are the following: $=aO *i  
l The problem is the limitation of this method to a limited domain of $a(-r-_Fi]  
parts. FpoH m%+  
l It proved limited in application because it demanded precision in LPk@t^[  
system modeling that was impossible in practice. 12$0-@U  
l There are advantages to be gained in the structuring of costs and _)A|JC!jId  
benefits, the use of xx, IwYeKN6s  
l The disadvantages of this method are also disadvantages of &2'-v@kK  
conventional xx approaches. &|v)   
<p@Cx  
l This combines the best features of both techniques d} >Po%r:  
l Hopefully, this tool can be as the reference framework of for GES}o9?#  
developing a xx platform, and helping the administration, marketing, tgRj8 @  
and knowledge management activities in virtual communities. ((y|? Z$  
Results [Nyt0l "z  
l An improvement on the result shown above can be made by based kZ]H[\Fs  
on the data provided xtV+Le%  
l Discussion of these theories is beyond the scope of this review n1[c\1   
l Based on the information contained in this Q>niJ'7WF  
l The result can be categorized into nine classes AtT7~cVe  
l The results are illustrated by an example 7 qKz_O  
l The experimental results for each xx time are reported in Table 2. spK8^sh  
l From the results obtained so far, it seem that ffKgVQux  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn *$p*'vR  
as qwTz7r  
l Although much effort has been made to., this reality is far from P.~UU S  
completion. kVn RS g}R  
l The results indicate that the total benefits are higher than the hp dI5  
total costs.  01kRe  
l Their results may then serve as guidelines for lower level models, bM W|:rn  
less fuzzy and more detailed. 4pmeu:26  
Chapter 6. Conclusion U,GSWMI/K  
l From the discussion, one may conclude that ... Cq5.gk S<  
l Form the above discussion, the conclusion can be reached that @T1G#[C~t  
l The conclusions drawn are also valid kk4 |4  
l In conclusion to this, it becomes obvious that the problem of xx |x[I!I7.F  
lies not only in... X9>fE{)!  
l We have attempted to introduce some concepts associated with a #qRoTtMq 7  
theory of "8za'@D"f  
xx based on fuzzy sets. ,05PYBc3  
l Considerable more work, hopefully, will be done in this area LKN7L kl  
l A fuzzy set procedure is proposed to solve xx selection problems 4P{| H  
#*A'<Zm  
interwoven with imprecise data ?G{0{ c2  
l Employing the compositional rule of inference, the assessment of &61U1"&$R  
the xx compatibility in achieving prescribed xx projectiles in any J+D| /^  
level of the hierarchy is made possible. 44CZl{pt  
l This paper has presented a theoretical and experimental study of 3Tr,waV  
the xx process and xx concept. *tjaac;z<J  
l The experimental research results will hopefully serve as useful xj5TnE9^  
feedback information for improvements for xx work. =%_=!%  
l The scope of this contribution was to introduce a xx method. ;@+ | ]I  
l In general, fuzzy sets theory provides an alternative foundation 1$cl "d`~  
for xx analysis in a fuzzy environment. VuLb9Kn  
Future Research n%Oi~7>  
l Thus, first extension of the approach could be, SQMl5d1d:  
l Present some cues for a further approach from Fuzzy Sets Theory HDm]njF%qQ  
application to 4Kqo>|C  
l Some improvements to the scheduling aspect of the model may 7i5B=y7b  
be brought through additional levels in the hierarchy for more V#G)w~   
detailed representation of the scheduling activity. 2V~E <K-  
Tables and Figures ]9!y3"..W{  
l Figure 7-1 sketches these relationships. P9!awLM-  
l The graphical representation of these functions is shown in Figure Bzz|2/1y  
1. lxd{T3LU  
l The xx may be depicted as in Figure 1. ?NBae\6r  
l Figure x shows the schematic diagram of the mG)5xD  
l Figure 1 though 2 provide a ... that qV=:2m10x  
l the architecture of this expert system for .... is illustrated in Figure la;*>  
2. ,#;hI{E  
l Figure 2 gives the outline of an ... system #7;?Ls  
l Table shows the <^s31.&p  
l as shown in Table 1 and 2 QC'Ru'8S  
l This concept is illustrated in Figure 2 ~vTwuc\(H  
l At the top of Table xx are shown two blocks of data. cB&_':F  
= #-zK:4  
l Each table or matrix has constructs xx through xx as aOvqk ^  
row-headings, V u")%(ix  
xx through xx as column-headings. ti61&)(  
l A table of .. is developed and significant recommendations are s AFn.W  
made. :E}y Pcw  
CONJUGATION k'r}@-X  
To Indicate Addition h: yJ  
l additionally, again, also, and then, as can be easily understood, #E+ybwA  
besides, equally important, especially, finally, for the same reason, RB4n>&Y  
first, further, furthermore, in addition, last, likewise, moreover, next, F]M-r{  
second, third, too, evidently, obviously, roughly speaking, broadly Tdh(J",d  
speaking + yI$4MY  
To Indicate Cause and Effect JDf>Qg{  
l accordingly, as a result, consequently, for this reason, hence, in (:8a6=xQ  
short, otherwise, then, therefore, thus, truly N.mRay,  
To indicate Comparison A6[FH\f  
l in a like manner, likewise, similarly , alternatively OxDq LX  
To Indicate Concession 6):1U  
l after all, although this may be true, at the same time, even though, (Yz[SK=U}  
even so , I admit, naturally, of course Sm<*TH!\n_  
To Indicate Contrast /4O))}TX  
l and yet, at the same time, but, for all that, however, yet, in fact, in i&m_G5u88  
contrast, in the real life, in spite of, nevertheless, notwithstanding, L ~'98C  
normally, on the contrary, on the other hand, still, traditionally, ?L\"qz%gP  
rather, unfortunately, 0g30nr)  
To Indicate Time Relationships: ,c:NdY(,)  
after a short time, afterwards, as indicated earlier, as long as, as soon )Xqjl  
`(H vD] l  
as, at last, at length, at the moment, at that time, at the same time, :pM 8Q1:B  
before, earlier, currently, immediately, in the meantime, in recent c#TY3Z|  
years, lately, later, meanwhile, often, of late, presently, recently, Tr_gc~  
soon, shortly, since, thereupon, temporarily, therefore, until, when, F%<*a ,m6g  
while ATqblU>D  
To Indicate Special Features or Examples: @\nQ{\^;  
for example, for instance, incidentally, indeed, in fact, in other words, A :ts_*  
in particular, in practice, specifically, that is, to illustrate, in this Mv%Qze,\V^  
respect, theoretically, as mentioned before / above sJx_X8  
To Indicate Summary: zHA::6OgPN  
in brief, in conclusion, in short, in summary, on the whole, to Hrpz4E%\Aw  
conclude v4hrS\M  
, in general, to summarize, to sum up, as a result, ultimately, "LlQl3"=  
VERB PHASE }x C2~  
l build a .. model Uk]jy>7;!  
l build up the key link Hmr f\(x  
l began a new era in ... o)XrC   
l can be regarded as / achieved / used to/for / found / obtained M>Q ZN  
through f|VCibI  
l can result in [L2+k? *  
l carries out ... tasks =V|jd'iwx  
l production information in order to simultaneously C<C$df  
l contains all information necessary to describe Mq<ob+  
l do not make use of production information ?Fx~_GT  
l deals with ]?+i6 [6U  
l end with failure T`wDdqWbEG  
l fetch the information from the model directly O Ol:  
l has great potential / yet to be resolved / spurred the Oe1WnS 7(]  
development of / 0&s a#g2  
been recognized as {)"[_<  
l BE aimed at / built up / carried out by / essentially concerned ]O@iT= *3  
uCr& `  
with / considered to be the key technology / associated with each F8Ety^9>9  
feature of a compo R`@T<ob)  
site component / cable of / currently implemented for / pp"#pl  
demonstrated by an example / finally reached / made equal to / >fWGiFmlk  
equivalent to / more suitable to / oriented to / interpreted as / GIzB1cl:  
pointed out / potentially of great benefit in the complex task of / )9"^ D  
shown in / used to effectively guide the search w"?Q0bhV9y  
l makes use of }qM^J;uy  
l make up Q~nVbj?c2v  
l meets the needs of real life production,/ the current demands ,e43m=KhK  
placed upon it $ 6mShp9(  
l must be justified ]S4"Jc M  
l point out xg/(  
l play an important role DWOf\[  
l relates to c`;oV- f  
l rely on ?pZU'5le`  
l satisfy the needs T" {~mQ*  
l determine the total requirements for the ... |K1S(m<F  
l uses ... as a key to search for... nrKAK^  
l without relying on _">F]ptI;  
l will be available/ performed/ overlooked n7bVL#Sq[  
NOUN PHASE sPi  
l a basic technical function of b5)^g+8)w  
l a critical need dh`s^D6Q>  
l a key / principle feature of 1ARtFR2C{b  
l a substantial impact on tcj "rV{G  
l an intensive review was conducted !6=s{V&r1  
l an increasing need for expanding the application of .... _MC',p&  
l an important component / function / aspect / issue 8*u'D@0  
l each rule is numbered in sequence )1Bz0:  
l each of these involves :G 5p`;hGo  
l for this calculation, it is necessary to define DGGySO6=$e  
l in the physical environment / integration of I[&x-}w  
.t\J @?Z  
l in the reality of situations where … >P j#?j*Y  
l many aspects of T3oFgzoO  
l most past efforts have been spent on ... y`zdI_!7  
l common sense to a well studied and documented technical field. L-E &m*%  
l sources of additional information on ... are listed DL V ny]  
l systematic and rationally structured format VgXT4gO!  
l the basis on which a range of ...operations can be established is k?7"r4Vc)S  
shown JvXuN~fI{[  
l THE basic philosophy / principles of / key element / general 12#yHsk  
hypothesis / candidate list of / concept of ... has attracted wide fGV'l__\\  
interest / function is concerned with / heart / impact / nature / role W]Xwt'ABz  
/ task of / kernel functions h$`m0-'  
l the number of parts needed to G_=i#Tu[  
l the above statement means that w%`S>+kX&  
l the output data is passed to Os[z >H?  
l the proposed method / underlying principle n#"G)+h3#  
l the recommendations made in this report, if implemented, should vUbgSI  
l this information resides in xT&/xZLT  
l this process is composed of ... different ... operation p,z>: 3M  
l along with the use of [H\0 '  
l concerning general aspects of -l}"DP _  
l due to FUSe!f  
l for later use in generating..., 2|?U%YrHWs  
l in turn, J[l7p6xk  
l IT IS believed / noted / assumed / suggested / shown / quite uG'S&8i_  
evident / appears / implies that / intended for / of no important to XPrnQJ  
l it can be claimed/concluded that el$@^Wy&$  
l it demonstrates the decisions required of 38-kl,Vw  
l it also provides information to .. U4dfO=  
l it becomes essential to 9?sY!gXc  
l let ... be the probability that n\ Lsm  
l once... is written, it is compiled into... yT<"?S>D  
l suppose it is observed that IIMf\JdM  
l this is because %ho?KU2j  
bO$KV"*!  
l this results in a <J~6Q  
l upon completion of the ... analysis, 7?g({]  
l when the knowledge is of mathematics or quantum physics, it will hyPS 6Y'1  
also be bhDqRM  
recorded in books and papers jp_)NC/~g  
l selection of rules for using the tools, for generating operation xv>8rW(Np5  
plans, #(}{*d R  
is another matter of preference, since practice varies greatly. 'p!&&.%  
l for the sake of convenience pIrL7Pb0  
l correct decision to be reach  \v:Z;EbX  
l keeping the number of rules to a minimum. $p Pc}M[h  
l a good process plan will result exhibiting several characteristics: d+h~4'ebv  
l practical solutions evE:FiDm(j  
l because of rather small job lot sizes fi'zk  
l Backward reasoning can be used to answer the question "should =<(6yu_  
milling tool be select" different level of knowledge in the realm of 9^sz,auB  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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