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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 QII-9 RxX"  
|35"V3bs  
t Dn{;ED<  
Beginning xQ4 5B` $  
1. In this paper, we focus on the need for K. [2u hB)  
2. This paper proceeds as follow. &`"Q*N2{  
3. The structure of the paper is as follows.  1t7vP;  
4. In this paper, we shall first briefly introduce fuzzy sets and related HUUN*yikj  
concepts D >ax<t1K  
5. To begin with we will provide a brief background on the NKyaR_q`  
Introduction :: IAXGH)  
1. This will be followed by a description of the fuzzy nature of the V`:iu n^f  
problem and a detailed presentation of how the required >a;0<Ui&Q  
membership functions are defined. NQb!?w  
2. Details on xx and xx are discussed in later sections. <_XyHb-  
3. In the next section, after a statement of the basic problem, various cTlitf9  
situations involving possibility knowledge are investigated: first, an tx0`#x  
entirely possibility model is proposed; then the cases of a fuzzy =e\E{K'f@  
service time with stochastic arrivals and non-fuzzy service rule is 2Lravb3  
studied; lastly, fuzzy service rule are considered. , c3gW2E  
Review D9.H<.|36  
1. This review is followed by an introduction. q]PeS~PjF\  
2. A brief summary of some of the relevant concepts in xxx and xxx is WGy3SV )  
presented in Section 2. lJZ-*"9V  
3. In the next section, a brief review of the .... is given. >v1E;-ZA  
4. In the next section, a short review of ... is given with special regard 4n1-@qTPF~  
to ... m3o+iYkMD  
5. Section 2 reviews relevant research related to xx. &dA{<.  
6. Section 1.1 briefly surveys the motivation for a methodology of $~ 6Y\O  
action, while 1.2 looks at the difficulties posed by the complexity of f~ bZTf  
systems and outlines the need for development of possibility f+A!w 8E  
methods. 8M9LY9C  
Body gZ{q85C.>  
1. Section 1 defines the notion of robustness, and argues for its OXT'$]p.*  
wXj!bh8\r  
importance. Z?XgY\(a(Q  
2. Section 1 devoted to the basic aspects of the FLC decision-making 3RYg-$NK[  
logic. %M? A>7b  
3. Section 2 gives the background of the problem which includes xxx L H>oG$a  
4. Section 2 discusses some problems with and approaches to, JI&ik_k3  
natural language understanding. ^Ob#B!=  
5. Section 2 explains how flexibility which often ... can be expressed ;0R|#9oX_  
in terms of fuzzy time-window `EFPY$9`D  
6. Section 3 discusses the aspects of fuzzy set theory that are used in c UJUZ@ol  
the ... #HgXTC  
7. Section 3 describes the system itself in a general way, including hu=b ,  
the ….. and also discusses how to evaluate system performance. hU 3z4|~+  
8. Section 3 describes a new measure of xx. G"_ 8`l  
9. Section 3 demonstrates the use of fuzzy possibility theory in the F0&BEJBkU  
analysis of xx. ;c>Co:W  
10. Section 3 is a fine description of fuzzy formulation of human 0u,OW  
decision. C`)n\?:Sth  
11. Section 3 is developed to the modeling and processing of fuzzy {9 PeBc  
decision rules }Y{aVn&C  
12. The main idea of the FLC is described in Section 3 while Section 4 lDBn3U&z>  
describes the xx strategies. O&ur |&v  
13. Section 3 and 4 show experimental studies for verifying the >'qkW$-95  
proposed model. QH?}uX'x)G  
14. Section 4 discusses a previous fuzzy set-based approach to cost pONBF3H8  
variance investigation. Jl,mYFEZ  
15. Section 4 gives a specific example of xxx. Obd};&6Q  
16. Section 4 is the experimental study to make a fuzzy model of )2 Omsh  
memory process. n$z}DE5 #  
17. Section 4 contains a discussion of the implication of the results of f,e7;u z%  
Section 2 and 3. :tc]@0+  
18. Section 4 applies this fuzzy measure to the analysis of xx and LTSoo.dE  
illustrate its use on experimental data. btQDG  
19. Section 5 presents the primary results of the paper: a fuzzy set ]w)*8 w.)  
model .. ,$lOQ7R1(  
. q=sC?D  
20. Section 5 contains some conclusions plus some ideas for further !jV}sp<Xp  
work. AbWnDqv  
21. Section 6 illustrates the model with an example. d"7l< y5  
22. Various ways of justification and the reasons for their choice are W?*]' 0  
discussed very briefly in Section 2. [c{/0*  
23. In Section 2 are presented the block diagram expression of a %*>ee[^L ,  
whole model jz\LI  
of human DM system K):MT[/"  
24. In Section 2 we shall list a collection of basic assumptions which #0i] g)  
a ... scheme must satisfy. h{ &X`$  
25. In Section 2 of this paper, we present representation and -Qt>yzD3  
uniqueness theorems for the fundamental measurement of fuzziness }~Am{Er <l  
when the domain of discourse is order-dense. qk Cj33v  
26. In Section 3, we describe the preliminary results of an empirical !9$xfg }  
study 3c#CEuu  
currently in progress to verify the measurement model and to dkz79G}e  
construct membership functions. MZpG1  
27. In Section 5 is analyzed the inference process through the two qqm7p ,j  
kinds of inference experiments... JN9 W:X.  
This Section CC(At.dd  
1. In this section, the characteristics and environment under which 1:.0^?Gz  
MRP is designed are described. 5`$.GV  
2. We will provide in this section basic terminologies and notations XQ+KI:g2  
which are necessary for the understanding of subsequent results. ' (JSU   
Next Section p8%/T>hK  
2. The next section describes the mathematics that goes into the tMWDKatb  
computer implementation of such fuzzy logic statements. g$++\%k&  
3. However, it is cumbersome for this purpose and in practical ebbC`eFD  
applications the formulae were rearranged and simplified as {b|:q>Be8  
discussed in the next section. :R/szE*Ak  
4. The three components will be described in the next two section, &^R0kCF`  
and an example of xx analysis of a computer information system will gFJ. p  
dS7?[[pg9  
then illustrate their use. QLq^[ >n  
5. We can interpret the results of Experiments I and II as in the 7XE |5G  
following sections. g~5$X{  
6. The next section summarizes the method in a from that is useful _N4G[jQLJ  
for arguments based on xx GqFDN],Wp  
Summary UjNe0jt% s  
1. This paper concludes with a discussion of future research <NV [8B#k]  
consideration in section 5. l]BIFZ~  
2. Section 5 summarizes the results of this investigation. ;\N{z6  
3. Section 5 gives the conclusions and future directions of research. ?GdoB7(%  
4. Section 7 provides a summary and a discussion of some extensions LwpO_/qV  
of the paper. SxC   
5. Finally, conclusions and future work are summarized JXG%Cx!2}  
6. The basic questions posed above are then discussed and d ] J5c  
conclusions are drawn. 5iE-$,7#L  
7. Section 7 is the conclusion of the paper. z1LN|+\}  
Chapter 0. Abstract [P5+}@t  
1. A basic problem in the design of xx is presented by the choice of a IMaa#8,  
xx rate for the measurement of experimental variables. 9oOr-9t3  
2. This paper examines a new measure of xx in xx based on fuzzy o!q3+Pp;}  
mathematics which overcomes the difficulties found in other xx d5/x2!mH8  
measures. +!dW Q=W  
3. This paper describes a system for the analysis of the xx. idWYpU>gC  
4. The method involves the construction of xx from fuzzy relations. +Y7"!wYR>  
5. The procedure is useful in analyzing how groups reach a decision. inO)Y]|f  
6. The technique used is to employ a newly developed and versatile RR,gC"cTi  
xx algorithm. zZ rUS'8  
7. The usefulness of xx is also considered. A4Dj4n0  
8. A brief methodology used in xx is discussed. ~p9nAACU  
9. The analysis is useful in xx and xx problem. zGtWyXP  
10. A model is developed for a xx analysis using fuzzy matrices. 8y9oj9 ;E]  
11. Algorithms to combine these estimates and produce a xx are :~K c"Pg  
T$ <l<.Qd  
presented and justified. U?vG?{A  
12. The use of the method is discussed and an example is given. }.j<kmd  
13. Results of an experimental applications of this xx analysis A 9 I5  
procedure are given to illustrate the proposed technique. TvV_Tz4e  
14. This paper analyses problems in 60 D0z  
15. This paper outlines the functions carried out by ... |?zFm mh  
16. This paper includes an illustration of the ... iUNlNl ?  
17. This paper provides an overview and information useful for xa 7~{ E,  
approaching }n!$)W*?  
18. Emphasis is placed on the construction of a criterion function by  t 0 $}  
which the xx in achieving a hierarchical system of objectives are t0^chlJP$  
evaluated. Fjq~^_8  
19. The main emphasis is placed on the problem of xx o75Hi t  
20. Our proposed model is verified through experimental study. }6U`/"RfcO  
21. The experimental results reveal interesting examples of fuzzy 5somoV B  
phases of: xx, xx = JE4C9$,  
22. The compatibility of a project in terms of cost, and xx are likewise <oF ZFlY@  
represented by linguistic variables. : `Nh}Ka0  
23. A didactic example is included to illustrate the computational L?aaR %6#  
procedure #0;H'GO?c  
Chapter 1. Introduction s{QS2G$5  
Time  1rnbUE  
1. Over the course of the past 30 years, .. has emerged form intuitive 9E@}@ZV(  
2. Technological revolutions have recently hit the industrial world m%?+;V  
3. The advent of ... systems for has had a significant impact on the 4&)4hF  
4. The development of ... is explored #CRAQ#:45(  
5. During the past decade, the theory of fuzzy sets has developed in a `~~.0QC  
variety of directions a$}n4p  
6.The concept of xx was investigated quite intensively in recent years erhxZ|."P  
7. There has been a turning point in ... methodology in accordance qD#E, "%  
with the advent of ... *x0nAo_n  
8. A major concern in ... today is to continue to improve... L%h Vts'  
9. A xx is a latecomer in the part representation arena. TbK;_ pg  
( E8(np  
10. At the time of this writing, there is still no standard way of xx _^Ds[VAgA  
11. Although a lot of effort is being spent on improving these do-mkvk  
weaknesses, the efficient and effective method has yet to be /o/0 9K  
developed. /,tQdD&  
12. The pioneer work can be traced to xx [1965]. x|TLMu=3=  
13. To date, none of the methods developed is perfect and all are far 9=-d/y?  
from ready to be used in commercial systems. K~U5jp c  
Objective / Goal / Purpose Z*M]AvO+#  
1. The purpose of the inference engine can be outlined as follows: xUKn  
2. The ultimate goal of the xx system is to allow the non-experts to C2Pw;iK_t  
utilize the existing knowledge in the area of manual handling of loads, @Yl&Jg2l'  
and to provide intelligent, computer-aided instruction for xxx. fD1a)Az  
3. The paper concerns the development of a xx &~6W!w  
4. The scope of this research lies in Z2%ySO  
5. The main theme of the paper is the application of rule-based &idPO{G  
decision making. ipIexv1/S  
6. These objectives are to be met with such thoroughness and sfN6ro  
confidence as to permit ... 7Zf * T  
7. The objectives of the ... operations study are as follows: LH" CIL2  
8. The primary purpose/consideration/objective of |KC!6<}T~9  
9. The ultimate goal of this concept is to provide Zeeixg-1<  
10. The main objective of such a ... system is to sXpA^pT"T  
11. The aim of this paper is to provide methods to construct such >7fNxQ  
probability distribution. l1EI4Y9KG  
12. In order to achieve these objectives, an xx must meet the a%fMf[Fu  
following requirements: ;;3oWsil}  
13. In order to take advantage of their similarity y1FE +EX[  
14. more research is still required before final goal of ... can be 5i$iUDuT>(  
completed HZ+l){u  
15. In this trial, the objective is to generate... ?Ji nX'z  
16. for the sake of concentrating on ... research issues C.& R,$  
17. A major goal of this report is to extend the utilization of a recently c^?+"7oO0  
developed procedure for the xx. ?Tr]zxtd  
l?UFe$9(  
18. For an illustrative purpose, four well-known OR problems are Q8~|0X\.g  
studied in presence of fuzzy data: xx. BSMM3jXb  
19. A major thrust of the paper is to discuss approaches and mHYR?  
strategies for structuring ..methods d hp-XIA;  
20. This illustration points out the need to specify e[:i`J 2  
21. The ultimate goal is both descriptive and prescriptive. 5N_w(B  
22. Chapter 2. Literature Review T- |36Os4  
23. A wealth of information is to be found in the statistics literature, v95O)cC:W  
for example, regarding xx j -R9=vB2  
24. A considerable amount of research has been done .. during the &Se!AcvKF  
last decade w|AHE  
25. A great number of studies report on the treatment of 3rUuRsXn  
uncertainties associated with xx. 4^jIV! V  
26. There is considerable amount of literature on planning TGxmc37?  
27. However, these studies do not provide much attention to z87_/(nu  
uncertainty in xx. 1e 'Ez4*  
28. Since then, the subject has been extensively explored and it is v"K #  
still under investigation as well in methodological aspects as in ^F e %1Lnt  
concrete applications. V(^aG=TaW:  
29. Many research studies have been carried out on this topic. }5??n~:*5  
30. Problem of xx draws recently more and more attention of system tS@J)p+_(  
analysis. b;O@|HK&~  
31. Attempts to resolve this dilemma have resulted in the l5*sCp*Z  
development of =rB=! ;  
32. Many complex processes unfortunately, do not yield to this W7 .Y`u[  
design procedure and have, therefore, not yet been automated. wyVQV8+&>  
33. Most of the methods developed so far are deterministic and /or 0Gr^#`  
probabilistic in nature. 3%NbT  
34. The central issue in all these studies is to WYayr1   
35. The problem of xx has been studied by other investigators, 2`ED?F68gH  
however, these studies have been based upon classical statistical -<jd/ 5  
approaches. (3[Lz+W.u  
36. Applied ... techniques to K@0/iWm*  
37. Characterized the ... system as ="<S1}.  
u[>hs \3k  
38. Developed an algorithm to p`CVq`k  
39. Developed a system called ... which RhPEda2  
40. Uses an iterative algorithm to deduce VY#:IE:T  
41. Emphasized the need to iax6o+OG|  
42. Identifies six key issues surrounding high technology TSp;Vr OP  
43. A comprehensive study of the... has been undertaken j&qJK,~  
44. Much work has been reported recently in these filed CQ( _$  
45. Proposed/Presented/State that/Described/Illustrated/ MUeS8:q-N  
Indicated/Has shown / showed/Address/Highlights H)Kt!v8  
46. Point out that the problem of eLd7|*|  
47. A study on ...was done / developed by [] TfFuHz ZZ  
48. Previous work, such as [] and [], deal only with )}KQtkU8:  
49. The approach taken by [] is F:P&hK  
50. The system developed by [] consists 4wa8Vw`  
51. A paper relevant to this research was published by [] /P8`)?f~y  
52. []'s model requires consideration of... a BHV  
53. []' model draws attention to evolution in human development F9Bj$`#)  
54. []'s model focuses on... 'h:[[D%H`  
55. Little research has been conducted in applying ... to "?y u^  
56. The published information that is relevant to this research... b O:m^*  
57. This study further shows that ti)4J2c,8  
58. Their work is based on the principle of %L^S;v3  
59. More history of ... can be found in xx et al. [1979]. o (OC3  
60. Studies have been completed to established 7T)J{:+0!|  
61. The ...studies indicated that .-0;:>  
62. Though application of xx in the filed of xx has proliferated in " * Qwaq_  
recent years, effort in analyzing xx, especially xx, is lacking. ?_NhR   
Problem / Issue / Question r$7D;>*O{  
63. Unfortunately, real-world engineering problems such as sT^^#$ub  
manufacturing planning do not fit well with this narrowly defined wJ| wAS  
model. They tend to span broad activities and require consideration xP1`FSO8=  
of multiple aspects. fR4O^6c:  
64. Remedy / solve / alleviate these problems ,B,2t u2  
67. ... is a difficult problem, yet to be adequately resolved @Lj28&4:<  
Ux2p qPb  
68. Two major problems have yet to be addressed 4I[g{S nF  
69. An unanswered question p:,(r{*?  
70. This problem in essence involves using x to obtain a solution. vk:m >?(  
71. An additional research issue to be tackled is .... 0CYm%p8!  
72. Some important issues in developing a ... system are discussed /FZ@Z]Q0G  
73. The three prime issues can be summarized: y3 {om^ f  
74. The situation leads to the problem of how to determine the ... 8^H <dR  
75. There have been many attempts to 7@.UkBOx  
76. It is expected to be serious barrier to olC@nQ1c*  
77. It offers a simple solution in a limited domain for a complex jocu=Se@  
problem. Z '%k`F  
1. There are several ways to get around this problem. *lN>RWbM%  
2. As difficult as it seems to be, xx is by no means new. T/V 5pYl  
3. The problem is to recognize xx from a design representation. mn=G6h T}W  
4. A xx problem can trace its roots to xx. FS%Xq-c  
5. xx [1987] used a heuristic approach to simplify the complexity of crJyk#_  
the problem. @x>J-Owd]J  
6. Several problems are associated with them. aF:_1. LC  
7. Although some progress has been made in this area, at least two /=x) 9J  
major obstacles must be overcome before a fully automated system \advFKN  
can be realized. Ld[zOx  
8. Most problems in practice are complicated ,H3~mq]  
9. More problem surface here. "%aJ 'l2  
10. Hamper effort toward a xx system 3|Q:tt'|#  
11. In order to overcome the limitations due to incomplete and d#N<t`  
imprecise xx knowledge, a xx program has been developed, which \e5bxc  
bases its knowledge upon the statistical analysis of a sample i/nA(%_  
population of xx ;}b.gpG  
12. The above difficulties are real challenges faced by researchers g4WN+y`  
attempting to develop j*m7&wOE  
13. This type of mapping raises no controversy to the issue of ZJ9J*5!C  
membership function determination. ^D(N_va<  
14. However, attempts to quantify the xx have met both theoretical :7t~p &J  
and empirical problems. M`$s dZ"  
s[ |sfqB1`  
15. It has become apparent that in order to apply this new /jQW4eW0  
methodological framework to real-world problems and data, we have I| qoHN,g  
to pay attention to the problems of xx and xx. !5Ko^:+Y  
Chapter 3. Proposed methodology XV+s 5 C  
Assumption H gMLh*  
1. In the case when the assumption of a xx seems to be too 'W 5r(M4U  
restrictive or inadequate, the formulation with Fuzzy termination ve2GRTO^aC  
time, i.e. given by a fuzzy set in the space of control stages, may be #pbPaRJL(  
applied. @Iz vObK  
2. We assume here the fuzzy constraints to be state-dependent, and I"4j152P|  
the fuzzy goal to be the same for all the control states, xx, which "q(#,,_  
stems from the problem's nature. SF2A?L?}+  
3. An approach to the solution of this problem is presented under the ~9JU_R^%m  
assumption that the sampling rate Decision can be made prior to the UH1AT#?!W  
execution of the experiment, as opposed to being made while the rxu 6 #v F  
experiment is in progress. a;J{'PHu  
4. Another assumption made above is that there are precise odds at [#>ji+%=  
which the expert is indifferent. & IVwm"  
5. Main simplifying assumptions are: 7u]0dHj  
6. This, in our view, is a questionable assumption. {x e$  
Outline / Structure / Module w?6"`Mo  
1. An outline of the research "Zd4e2>{M\  
2. Information is incorporated within the scheme Tx%6whd/'  
3. Is built into ... structure i.I iwe0G  
4. A nice modular structure. jA R@?X  
5. The principles of ... are applied as modularized criteria vh3Xd\N  
Classification f>i6f@  
1. A xx system comprises three main components: )=TD}Xb  
2. Must decompose the original .. into a set of .. Kl<qp7o0  
3. Consists of the following steps: A6Ttx{]  
4. This is summarized in the following steps: }I;A\K]  
%;kr%%t%  
5. Can be broadly classified into the following areas: {"l_x]q  
6. Can be characterized by its function of effectively processing the 6>ZUx}vYj  
7. Can allow further breadth of application of ...into more 8MgoAX,p  
8. The following steps should be followed u"r~5  
9. xx can be classified by a different ways. |i'V\" hW  
10. Based on the xx, one may classify xx into the following: WbC|2!  
11. This catalog may change due to wear, breakage, and purchasing. ~Emeo&X  
System Qrjo@_+w!  
1. Unlike many conventional program, expert systems do not O, 6U pk  
usually deal with problem for which there is clearly a right or wrong N%!8I  
answer. u5^fiw]C  
2. The system consists of both ... and ... Ijq1ns_tx8  
3. The system has a hierarchical modular architecture organized on @'`!2[2'?  
three levels. 62K7afH  
4. expert system domains are area of expertise cmF&1o3_  
5. To develop a xx system for xx, the following factors must be =!m5'$Uz>  
considered: %[ 0V>  
6. The system has been developed / designed to determine VE5w!of  
7. The system has proven to be able to [YG\a5QK  
8. The domain in which an expert system operates is a particular s7=CH   
domain ?{l}35Q .@  
9. The system comprises a ... with tZmo= 3+:  
10. The system is [feature-oriented ] / based on the ... technique j|"#S4IX)F  
11. The system environment must be relatively stable fH? e9E4l  
12. The system is utilized to generate, load, store, update and Br.$:g#  
retrieve ... uu L"o  
13. The development of a xx system has two stages: xx stage and xx XB*)d 9'8  
stage. IiTV*azVh  
14. The most essential part of .. system is the ...  " Mzb  
15. The successful developments in ESs have made them an x o2PxUO  
important tool in the development of % LeG.~?  
16. An automated system was developed for K|nh`r   
17. In this case, the system can be considered to be generative. ]w z`j1  
>+y[HTf-  
18. An interactive automatic ... system y<(q<V#0!S  
19. A …. is commonly thought of as a truly integrated .. system 1'DD9d{ qN  
20. Should be capable of being generated from a ... system FrBoE#  
21. xx is an important part of the integrated system. @\0U`*]^)  
22. The model consists of four rule bases, each of which addresses a \M0-$&[+Z  
separate problem in the hierarchy of scheduling decision. 21'I-j  
23. The rule bases are linked to each other in a chin-like manner in +{U0PI82  
the sense that the consequent of one rule base constitutes a part of ^\=<geEj  
the antecedent of the next rule base. t}L kl(  
24. The rule base consists of all possible combinations of the @9_H4V  
linguistic terms associated with the linguistic variable of the ^R- -&{I  
antecedent of a rule. 2F9Gx;}t5=  
Computer System 4po zTe  
1. The system has been implemented using Prolog language in an SQ%B"1&$D  
MS-DOS environment. Prolog was chosen because it offers a well FOJ-?s(  
known and flexible environment in which fuzzy reasoning may be 2F* spu  
easily implemented. nmI os]B  
2. The current version of the xx program when compiled with U hKC:<%  
WATFOR77 results in an executable code of about 270K bytes. kT6h}d^/^  
Typical run time, when run on a XX computer (an IBM compatible |a 9d]^  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min FYPv:k   
to 2h, depending on the size (or complexity) of the problem. x(oL\I_Z  
3. Time consuming procedures have been implemented in 9e|-sn  
C-language and directly linked to the Prolog environment. |@'/F#T  
4. The xx process, once the xx's data has been entered, requires SOE 5`  
approximately 180 seconds. B(tLV9B3Q  
5. It should be noted that the computation was done with a 20 Hhz, %oPW`r  
80386..209;based microcomputer equipped with a 80387 math 0u[Vd:()v(  
co-processor. <Y%km[Mh  
6. The computer programs used for the analyses, one based on the xx Gy}WZ9{  
method and the other based on the new method, were written in |2RoDW  
FORTRAN with a compiler that supports the math co-processor. $sF'Sr{)y  
7. Lisp, Prolog give maximum flexibility but also maximizes RcJ.=?I!  
yM* CA,(c  
development time. ."`mh&+`  
l Internal representation is the way a model is represented in the akR+QZ,)  
computer. |,YyuCQcL[  
l An interactive menu-driven procedure is used in this study scr`] tD  
l Shell can be develop very fast at the cost of time fairly severe e !V3/*F  
limitations. nV`n=x  
l While there is no measurable saving of time for the case involving Xn:5pd;?B6  
five criteria, the saving is dramatic for the case involving 10 criteria [=3f:>ssm  
-- the computation time reduces from 10 hr 40 min to about 1 min. $MW-c*5a  
l This combination is being implemented in an objected-oriented GFA D  
programming environment (Smalltalk-80 system) to solve problems kdmmfw  
encountered in construction xxx. <HYK9{Q  
Method / Approach / Study / Process Model / Equation /Algorithm / j%w}hGW%,  
Rule / Formula / Technique R0 yPmh,{  
l A discussion is presented of a problem-solving system gc5u@ (P"  
l To improve the efficiency of the method, the following approach <V`1?9c7D1  
may be applied. +-%&,>R  
l In order to an investigation was made to find the causes of the ucP"<,a  
l Although large collections of rules and equations have been `5SLo=~  
complied, none are generally accepted v w.rkAGY  
l This approach will be explained and discussed thoroughly in the .$o0$`}  
body of the report. |gV$ks\<  
l This can be accomplished by G`;YB  
l This algorithm to compute the total cost can be described step by kdq<)>"  
step as follows: d17RJW%A  
l The above preliminary analysis has provided important M53{e;.kN  
information 'R-Ly^:Qd  
l Various methods have been proposed for selecting an optimum... h4iz(*  
l These concepts have been applied to |qOoL*z  
l On the basis of the concept mentioned above, Sa8KCWgWh  
l This can be achieved by S]"U(JmW\  
l This fact suggests that a new concept `/e EdqT  
l This was accomplished by taking ... *A^`[_y  
q.} M^iDe  
l The preparatory stage is very time consuming process. jV|j]m&t  
l Test are performed for validity, completeness, and compatibility 13JZ\`ceb  
l There is little hope of achieving successful ... g +RgDt9  
l There has been an increasing awareness of the potential of using 9Z[EzKd<~'  
most ..so far made have not taken this approach, with the exception {0(:5%  
of K|Cb6''  
l Only a few studies can be found. _o+z#Fnz  
l It is a very tedious process to go through DN X-\  
l It is only when .. has been completed that .. may be effected #F^0uUjq  
l The entire interpretation process is conducted in one's head. m)1+D"z  
l These approaches are sometimes very tedious. }Sx+:N*  
l Several techniques can be used u3k{s  
l A polynomial parametric model can be written as [the Gi+ZI{)  
following]/[follows]:  Lw1aG;5  
l A xx model is constructed/formulated using xx. AY(z9 &;6  
l A xx model represents an xx by its xx. Ovhd%qV;Y  
l A process decision model captures the logic essential to ^o8o  
l From the equation above, xx is equal to the summation of xx AE@N:a  
times the ... _!ITCkBj  
l The validity of a xx model can be checked using Euler's formula. 2R`dyg  
l Given a model, one can mathematically determine whether ... or ... 2mt S\bAF  
l Equations for xx need to be derived and implemented in the + e3{J_  
system. JFOXrRR=d  
l A number of heuristic rules have been developed for GF/!@N  
l Optimum .. techniques can be made more reliable by ... so that }~O`(mnD}K  
l An algorithm based on the characteristic ... is used to determine Ve9*>6i&-4  
l Euler's formula states the following: Pw|J([  
l The completed model should agree with the formula. LcW:vV|'K  
l For manufacturing purposes, a detailed and precise model of the Z1Pdnc7S[  
object is necessary ^fqco9^;  
l Engineering design models are very well defined; therefore, K)&oDwk  
l To keep the domain narrow enough to be implementable, yet wide r"hogmFD;  
enough to Naa "^  
be useful. g5[r!XO  
=}1m.  
Point of View s;Sv@=\  
l from an implementation standpoint, Z[%vO?,  
l From the point of view of this application, /DxeG'O  
l From this point of view, Zadeh suggested an inference rule named ]1dnp]r  
xxx (CRI for short). egn9O  
l Information is the meaningful interpretation and correlation of 5-B %08T  
some aggregation of data in order to allow one to make decisions. ;0JK>c ]#  
l From a practical point of view, the computational aspects of an kNC]q,ljt5  
FLC require a simplification of the fuzzy control algorithm. {Q/_I@m].  
l The use of a hammer to insert screws, although partly effective, P~9y}7Q\0  
tends to distort, destroy, and generally defeat the purpose of using a Xo/0lT  
screw [Kusiak AI Implications for CIM p.129] }~+_|  
Justification M|9=B<6`7  
l We choose the so called xx in our experiment because it has q6AL}9]9  
received wide acceptance and can <d] t{M62W  
l Prolog was chosen because it offers a well known and flexible i7|sVz=  
environment in which fuzzy reasoning may be easily implemented. 3x3 =ke!  
l The rationale behind this is that it can be much easier for an "3e1 7dsY  
estimator to rate a cost as high than to attempt to place a dollar 2E_d$nsJ  
value on the estimate. 9`|~- b  
l This strategy has been widely used in fuzzy control applications $e/[!3CASP  
since it is natural and easy to implement. /;V:<mekf  
l A function definition expresses the membership function of a cM;,nX%/  
fuzzy set in a functional form, typically a bell-shaped function, etc. Q)%a2s;  
Such functions are used in FLC because they lead themselves to WP ~]pduT  
manipulation through the use of fuzzy arithmetic. Cw,;>>Y_b<  
l It should be noted that in our daily life most of the information on P{[@t_  
which our decisions are based is linguistic rather than numerical in _eg&j  
nature. Seen in this perspective, fuzzy control rules provide a natural du_T iI  
framework for the characterization of human behavior and decisions Nny#}k Bt  
analysis.  c FV3  
l Many experts have found that fuzzy control rules provide a pGT?=/=*  
V)#rP?Y  
convenient way to express their domain knowledge. This explains )Nkf'&  
why most FLCs are based on the knowledge and experience which  i=aK ?^+  
are expressed in the language of fuzzy "if-the" rule. ~X<Ie9m1x  
Chapter 4. Examples Uk<2XGj  
Example/ Data y*7<tj.`b0  
l The data used in the following example was taken from an hVf;{p &  
experiment in which xx was measured between x and x using a xx 0;SRmj@W  
technique. &KP JB"0L  
l The data consists of over xx measurements. o@ W:PmKW  
l An example of xx is discussed and the control rules of xx are AH'4k(-  
compared with a xx g#s hd~e  
l Examples of complex processes to which this technique may be JH`oa1 b  
applied are xx, xx, etc. F,/yK-9  
l The following example is constructed only for the purpose of m$WN"kV`,9  
illustrating the computational procedure discussed. kcio]@#  
l This example clearly demonstrates that the profile of an individual iiD }2y b  
xx, or a very small group of xx, with no enough data to be studied XI7:y4M  
statistically, can be meaningfully analyzed by fuzzy possibilistic qJq!0F  
methods. 1 ILA Utf)  
l There is no space here to go into detail on all these methods, but Z[G:  
deserve a mention and the bibliography will point to detailed 'RzzLk|$  
references for those wishing this level of detail. tr-muhuK  
l Note that the golf ball spotting example is used throughout the Eq6. s)10  
paper. bXRSKp[$  
Comparisons B0$.oavC  
l As well, the pros and cons of these representations from a process  6y   
planning point of view will be discussed. E%vT(Kz  
l The method of using xx to implement xx described by Zadeh d6+{^v$#  
(1973) appeared more suitable YT\.${N  
l As discussed [in the previous section]/[preciously], sQgJ`+Y8_  
n2;Vrs,<1&  
Relation NK$BF(HBi  
l We can not invert F' directly because it defines a many-to-one \oy8)o/Gb  
mapping. 9f_Qs4  
l The relationships appear very complicate 6 6Bx,]"6  
l Lifting tasks involve complex and imprecise relationship between 2R>!Wj'G+o  
the task variables and the human operator's characteristics. f&88N<)  
l These methods are based on the relationship between ... and ... vCsJnKqK  
l The fundamental concept of a fuzzy rating language is that we can 08F~6e6a8  
establish a relationship among terms such as high, medium, and low, r l>e~i  
and then modify these relationships. gib'f@i;  
l This article will thus mention the latter as well as the former. = sh3&8  
l The former two bear a close relation to a fuzzy Cartesian product. p n(y4we  
Importance #Z1 <lAy  
l The emphasis is on an implementation of a general approach to ]/c!;z  
rule based decision making. c);vl%  
Consideration / Attention *TC#|5  
l Careful evaluation is necessary to ensure W:V.\  
l Such a formulation does not change further considerations. N%fDgK  
l Considerable attention has been paid to 3fdqFJ O  
l Attention should be paid to an important finding of this EKf!j3  
investigation. :?f^D,w_B  
l Caution should be exercised in this process to avoid ... Da&Brm   
l Primary consideration is given to ... components, though others uow{a*q d6  
can be accommodated v9XevLs  
l After ... has been defined by ..., a carefully analysis is carried <P0&!yN  
out/performed to determine Fb<fQIa  
l A number of factors such as ...need to be taken into consideration }Wz[ox9b  
before making the appropriate decision. 2g$;ZBHO|8  
l It should be noted that 0i~?^sT'  
l It is important to point out that ... h_\OtoRa  
l These considerations have heightened interest in the possibility of \VHRI<$+5  
providing ... ((T6z$:hA  
#@}wl  
l We should stress the fundamental importance of the xx cg_j.=M-  
Chapter 5. Results. #y*p7~|@  
Advantages / Disadvantage 3h**y %^  
l One of the major advantages of this new measure of xx is that it WuMr";2*E  
can be applied to the experimental study of L^e%oQ>s  
l One advantage of using a .. is the ease of preparing it. Oz-@e%8L  
l The xx system is versatile *  \%b1  
l It has a very fast decision making process )Ag{S[yZ  
l All the algorithms involve mostly logical operations. ie}?}s  
l It can be easily and without additional cost implemented in a *nlDN4Y[  
microprocessor-based environment. 8 B7~Nq'  
l It can reduce the waste of designing from scratch. To =JE}jzo  
l The advantages of using a xx to represent xx are the following: Hgbrlh  
l However, xx is not without its shortcomings. {;+9A}e  
l In most cases, the xxx shows an improvement over the existing hGb SN_F  
xxx. ];*? `}#  
l Compared to the existing xx, the impacts of the xx are generally h7J4 p  
reduced by 5% to 9%. HiSNEp$-4$  
l The "best case" results shows a savings of 6% to 9%. cS RmC  
l Most of the existing works based on xx approach can only epG!V#I  
recognize a xx . HleMzykF  
l Most of the above methods are computational expansive and #PQhgli  
limited to xx. RSBk^  
l Some other advantages of xx are the following: n..R'vNj  
l The problem is the limitation of this method to a limited domain of Mi047-% (  
parts. V=)' CCi{  
l It proved limited in application because it demanded precision in Y@limkN:  
system modeling that was impossible in practice. @6%o0p9zz  
l There are advantages to be gained in the structuring of costs and wW|[Im&  
benefits, the use of xx, VF:95F;@  
l The disadvantages of this method are also disadvantages of '1rO&F  
conventional xx approaches. U:uF rb,  
oa6&?4K?F  
l This combines the best features of both techniques 6xoCB/]  
l Hopefully, this tool can be as the reference framework of for -;iCe7|Twf  
developing a xx platform, and helping the administration, marketing, -`,F e3  
and knowledge management activities in virtual communities. kHd`k.nW  
Results 4D sHUc6  
l An improvement on the result shown above can be made by based `_!R;f  
on the data provided DVjwY_nG7  
l Discussion of these theories is beyond the scope of this review m.Ki4NUm  
l Based on the information contained in this 6& _K;  
l The result can be categorized into nine classes M=Y['w x  
l The results are illustrated by an example Ch73=V   
l The experimental results for each xx time are reported in Table 2. remRm Y?  
l From the results obtained so far, it seem that @k)[p+)E  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn h6Cqc}P  
as s PvjJr"s  
l Although much effort has been made to., this reality is far from :*MR$Jf  
completion.  1t }  
l The results indicate that the total benefits are higher than the G rI<w.9X  
total costs. iJS7g  
l Their results may then serve as guidelines for lower level models, 3 <_=Vyf  
less fuzzy and more detailed. 6 tl#AJ-  
Chapter 6. Conclusion #~[{*[B+  
l From the discussion, one may conclude that ... xB5QM #w\  
l Form the above discussion, the conclusion can be reached that +aN"*//i  
l The conclusions drawn are also valid a(lmm@;V<  
l In conclusion to this, it becomes obvious that the problem of xx 5 Q/yPQN  
lies not only in... <YvW /x  
l We have attempted to introduce some concepts associated with a CIj7' V  
theory of E _\V^  
xx based on fuzzy sets. V/ BU(`~i  
l Considerable more work, hopefully, will be done in this area h !?rk|  
l A fuzzy set procedure is proposed to solve xx selection problems ~>XqR/v  
N 1hj[G[H"  
interwoven with imprecise data 1} ~`g ED  
l Employing the compositional rule of inference, the assessment of }8'b}7!  
the xx compatibility in achieving prescribed xx projectiles in any 1 0^FfwRfM  
level of the hierarchy is made possible. 4+MaV<!tU^  
l This paper has presented a theoretical and experimental study of 3 Scc"9]  
the xx process and xx concept. vbfQy2q  
l The experimental research results will hopefully serve as useful WZ=$c]gG  
feedback information for improvements for xx work. rTqGtmulG  
l The scope of this contribution was to introduce a xx method. U:bnX51D4  
l In general, fuzzy sets theory provides an alternative foundation g]E3+:5dk  
for xx analysis in a fuzzy environment. #I\" 'n5M  
Future Research A Wd,qldv  
l Thus, first extension of the approach could be, +'wO:E1( w  
l Present some cues for a further approach from Fuzzy Sets Theory CZf38$6X  
application to EI496bsRHm  
l Some improvements to the scheduling aspect of the model may Pbt7T Q  
be brought through additional levels in the hierarchy for more =MT'e,T  
detailed representation of the scheduling activity. @2;cv?i)  
Tables and Figures ]n3!%0]\  
l Figure 7-1 sketches these relationships. r1 b"ta  
l The graphical representation of these functions is shown in Figure MaPI<kYQv  
1. ^PUB~P/  
l The xx may be depicted as in Figure 1. y+KAL{AGK  
l Figure x shows the schematic diagram of the e^;%w#tEqI  
l Figure 1 though 2 provide a ... that <W+9 h0c  
l the architecture of this expert system for .... is illustrated in Figure 3O;"{E= <  
2. G#M0 C>n  
l Figure 2 gives the outline of an ... system J57; X=M  
l Table shows the .R l7,1\  
l as shown in Table 1 and 2 )sNPWn8<Uy  
l This concept is illustrated in Figure 2 #jd.i  
l At the top of Table xx are shown two blocks of data. wJ7^)tTRF  
+(y 8q  
l Each table or matrix has constructs xx through xx as #2Iag' 4T  
row-headings, K$w;|UJc  
xx through xx as column-headings. [A~ Hl  
l A table of .. is developed and significant recommendations are E(vO^)#  
made. PQa0m)H@  
CONJUGATION zWH)\>X59  
To Indicate Addition E@yo/S  
l additionally, again, also, and then, as can be easily understood, tP"6H-)X&  
besides, equally important, especially, finally, for the same reason, MTKNIv|  
first, further, furthermore, in addition, last, likewise, moreover, next, -*i_8`  
second, third, too, evidently, obviously, roughly speaking, broadly e<*qaUI  
speaking Z4rk$K'=1w  
To Indicate Cause and Effect Ow.DBL)x'>  
l accordingly, as a result, consequently, for this reason, hence, in LrT EF j  
short, otherwise, then, therefore, thus, truly V1pBKr)v  
To indicate Comparison L AH">E  
l in a like manner, likewise, similarly , alternatively {dm>]@"S  
To Indicate Concession wc. =`Me  
l after all, although this may be true, at the same time, even though, O ;[Mi  
even so , I admit, naturally, of course nj1o !+9>$  
To Indicate Contrast m C`*#[  
l and yet, at the same time, but, for all that, however, yet, in fact, in ^m&I^ \  
contrast, in the real life, in spite of, nevertheless, notwithstanding, k54\H.  
normally, on the contrary, on the other hand, still, traditionally, Ff(};$/& W  
rather, unfortunately, Mgi~j.[  
To Indicate Time Relationships: 3T0~k--  
after a short time, afterwards, as indicated earlier, as long as, as soon 8Znr1=1   
2[HPU M2>  
as, at last, at length, at the moment, at that time, at the same time, `lWGwFgg(  
before, earlier, currently, immediately, in the meantime, in recent 8V 4 e\q  
years, lately, later, meanwhile, often, of late, presently, recently, _#NibW  
soon, shortly, since, thereupon, temporarily, therefore, until, when, bxtH`^  
while ..X_nF  
To Indicate Special Features or Examples: , ?U)mYhI  
for example, for instance, incidentally, indeed, in fact, in other words, < kPNe>-f  
in particular, in practice, specifically, that is, to illustrate, in this *DC/O( 0  
respect, theoretically, as mentioned before / above \X _}\_c,d  
To Indicate Summary: @#OL{yMy  
in brief, in conclusion, in short, in summary, on the whole, to \fiy[W/k  
conclude ( _6j@?u  
, in general, to summarize, to sum up, as a result, ultimately, +pwTM]bV  
VERB PHASE n]`]gLF\i  
l build a .. model 5X=1a*2']  
l build up the key link R20 .dA_N  
l began a new era in ... yRyXlZC  
l can be regarded as / achieved / used to/for / found / obtained wbAwmOiZ  
through ,v K%e>e&  
l can result in 2HmK['(  
l carries out ... tasks n=V|NrU  
l production information in order to simultaneously P dqvXc  
l contains all information necessary to describe *3`R W<Z  
l do not make use of production information cB){b'WJ  
l deals with ?D _4KFr  
l end with failure eN.6l2-  
l fetch the information from the model directly /y{: N  
l has great potential / yet to be resolved / spurred the #$xtUCqX  
development of / Gg9s.]W  
been recognized as E > GmFw  
l BE aimed at / built up / carried out by / essentially concerned )/@KdEA:  
)VkVZf | S  
with / considered to be the key technology / associated with each nt$P A(Y  
feature of a compo lf>d{zd5  
site component / cable of / currently implemented for / IC'+{3.m8  
demonstrated by an example / finally reached / made equal to / S/)),~`4  
equivalent to / more suitable to / oriented to / interpreted as / |.$B,cEd  
pointed out / potentially of great benefit in the complex task of / U<0Wa>3zj  
shown in / used to effectively guide the search lwX9:[Z  
l makes use of :?zq!  
l make up 4)tY6ds)r|  
l meets the needs of real life production,/ the current demands HJN GO[*g  
placed upon it ME]4tu  
l must be justified ?wG  
l point out b'+Wf#.]f0  
l play an important role RNw#s R  
l relates to 2WH(c$6PWf  
l rely on 8iY.!.G#|  
l satisfy the needs q;nAq%  
l determine the total requirements for the ... ^2$b8]q  
l uses ... as a key to search for... d^RcJ3w  
l without relying on ? bWc<]  
l will be available/ performed/ overlooked w}l^B>Zz  
NOUN PHASE @-S7)h>~  
l a basic technical function of 6/L[`n"G  
l a critical need >$rH,Er  
l a key / principle feature of _@XueNU1hS  
l a substantial impact on q! 0HsF  
l an intensive review was conducted R P~ 67L  
l an increasing need for expanding the application of .... B"> Ko3  
l an important component / function / aspect / issue A2\hmp@A@7  
l each rule is numbered in sequence $m5Iv_  
l each of these involves 2(GY k  
l for this calculation, it is necessary to define Vbp @n  
l in the physical environment / integration of /7S g/d%c  
C<a&]dN/  
l in the reality of situations where … 5Xxdm-0  
l many aspects of Ou4hAm91s  
l most past efforts have been spent on ... 2<J2#}+ \  
l common sense to a well studied and documented technical field. ck  `td%  
l sources of additional information on ... are listed [AFR \{  
l systematic and rationally structured format >?JUGXAi'{  
l the basis on which a range of ...operations can be established is B=W#eu <1  
shown j-/$e,xX  
l THE basic philosophy / principles of / key element / general ux^rF  
hypothesis / candidate list of / concept of ... has attracted wide fGe ie m  
interest / function is concerned with / heart / impact / nature / role `*Wg&u  
/ task of / kernel functions ZZkc) @  
l the number of parts needed to oc-&}R4=  
l the above statement means that imM# zy  
l the output data is passed to a6 :hH@,  
l the proposed method / underlying principle Xajt][  
l the recommendations made in this report, if implemented, should /: -&b#+  
l this information resides in Y<Ae_yLa  
l this process is composed of ... different ... operation L"1AC&~ u  
l along with the use of D5Rp<PBq,  
l concerning general aspects of TT;ls<(Lg  
l due to ]!"7k_  
l for later use in generating..., kene' aDm  
l in turn, #t Pc<p6m  
l IT IS believed / noted / assumed / suggested / shown / quite 73u97oe>1  
evident / appears / implies that / intended for / of no important to pR2U&OA  
l it can be claimed/concluded that 5(1c?biP&  
l it demonstrates the decisions required of ^u90N>Dvq  
l it also provides information to .. ntPX?/  
l it becomes essential to /i_FA]Go  
l let ... be the probability that b$ 8R  
l once... is written, it is compiled into... lOb(XH9  
l suppose it is observed that b ~]v'|5[  
l this is because x@)cj  
1n6%EC|X  
l this results in a hfc~HKLC  
l upon completion of the ... analysis, ][//G|9  
l when the knowledge is of mathematics or quantum physics, it will 1x##b [LC  
also be rOYYZ)Qw  
recorded in books and papers 'F/uD 1;  
l selection of rules for using the tools, for generating operation jc !V|w^  
plans, 64"DT3:  
is another matter of preference, since practice varies greatly. bQN3\mvY  
l for the sake of convenience Fwvc+ a  
l correct decision to be reach |{,c2 Ck:N  
l keeping the number of rules to a minimum. k %sxA  
l a good process plan will result exhibiting several characteristics: 5w~J"P6jg  
l practical solutions ^e\$g2).  
l because of rather small job lot sizes "8a ?K Q  
l Backward reasoning can be used to answer the question "should qrZ3`@C4k  
milling tool be select" different level of knowledge in the realm of ,E%O_:}R  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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