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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 m>Z3p7!N}  
X\BFvSv8C  
t[;-gi,,  
Beginning }#tbK 2[  
1. In this paper, we focus on the need for #-b}QhxH  
2. This paper proceeds as follow. 5(2 C  
3. The structure of the paper is as follows. "%Ief4  
4. In this paper, we shall first briefly introduce fuzzy sets and related uo?R;fX26  
concepts @r<2]RXlc  
5. To begin with we will provide a brief background on the e{5 O>RO  
Introduction )Ko~6.:5H  
1. This will be followed by a description of the fuzzy nature of the )" Z|x  
problem and a detailed presentation of how the required TPx`qyW  
membership functions are defined. E3{kH 7_'\  
2. Details on xx and xx are discussed in later sections. w_"-rGV  
3. In the next section, after a statement of the basic problem, various mz x$(u  
situations involving possibility knowledge are investigated: first, an p<pGqW  
entirely possibility model is proposed; then the cases of a fuzzy N,8.W"fV  
service time with stochastic arrivals and non-fuzzy service rule is 3 QXsr<  
studied; lastly, fuzzy service rule are considered. jZ"j_ =o@  
Review $mf O:%  
1. This review is followed by an introduction. 00SS<iX  
2. A brief summary of some of the relevant concepts in xxx and xxx is 6*EIhIQ(  
presented in Section 2. <3ep5`1   
3. In the next section, a brief review of the .... is given. Jw;G_dQ[  
4. In the next section, a short review of ... is given with special regard ,*9gy$  
to ... DTsD<o  
5. Section 2 reviews relevant research related to xx. sUQ Q/F6  
6. Section 1.1 briefly surveys the motivation for a methodology of ? 47"$=G  
action, while 1.2 looks at the difficulties posed by the complexity of RH7!3ye  
systems and outlines the need for development of possibility u^i3@JuX  
methods. OaT] 2o  
Body -glGOTk  
1. Section 1 defines the notion of robustness, and argues for its ttB>PTg#  
~PAI0+*"q  
importance. y\CxdTs  
2. Section 1 devoted to the basic aspects of the FLC decision-making '~7zeZ'  
logic. B>S>t5$  
3. Section 2 gives the background of the problem which includes xxx 8N |K   
4. Section 2 discusses some problems with and approaches to, FI$ -."F  
natural language understanding. b5.]}>]t  
5. Section 2 explains how flexibility which often ... can be expressed sV0NDM0  
in terms of fuzzy time-window e_l|32#/  
6. Section 3 discusses the aspects of fuzzy set theory that are used in TI2K_'  
the ... @KHY8y7  
7. Section 3 describes the system itself in a general way, including [wJ\.9<Oa  
the ….. and also discusses how to evaluate system performance. =w:)AWZ  
8. Section 3 describes a new measure of xx. Jr X. f  
9. Section 3 demonstrates the use of fuzzy possibility theory in the @w(|d<5l:L  
analysis of xx. <dVJV?i;  
10. Section 3 is a fine description of fuzzy formulation of human M ' %zA;Wl  
decision. M} ri>o  
11. Section 3 is developed to the modeling and processing of fuzzy A>mk0P)~Q  
decision rules -eD]gm  
12. The main idea of the FLC is described in Section 3 while Section 4 8X278^ #  
describes the xx strategies. v046  
13. Section 3 and 4 show experimental studies for verifying the vl+bc[ i~  
proposed model. 3Of!Ykf=  
14. Section 4 discusses a previous fuzzy set-based approach to cost %.'oY%  
variance investigation. 3^$=XrD  
15. Section 4 gives a specific example of xxx. Bu?Qyz2O  
16. Section 4 is the experimental study to make a fuzzy model of i\DU<lD5VN  
memory process. lOe|]pQ.,  
17. Section 4 contains a discussion of the implication of the results of p-w:l*-`  
Section 2 and 3. JBZ1DZAWC  
18. Section 4 applies this fuzzy measure to the analysis of xx and V,8Z!.MG  
illustrate its use on experimental data. F!4V!VWA}  
19. Section 5 presents the primary results of the paper: a fuzzy set rce._w }  
model .. 1A#/70Mo  
{^:NII]  
20. Section 5 contains some conclusions plus some ideas for further =w"Kkj>%oh  
work. 23,pVo  
21. Section 6 illustrates the model with an example. 3u+i  
22. Various ways of justification and the reasons for their choice are T{-gbo`Yji  
discussed very briefly in Section 2. W!Hn`T   
23. In Section 2 are presented the block diagram expression of a @t*D<B$  
whole model @0C[o 9  
of human DM system NpKyrXDJv  
24. In Section 2 we shall list a collection of basic assumptions which Zg>]!^X8  
a ... scheme must satisfy. DO+~    
25. In Section 2 of this paper, we present representation and kCoE;)y$  
uniqueness theorems for the fundamental measurement of fuzziness kg7 bZ  
when the domain of discourse is order-dense. .5s^a.e'O  
26. In Section 3, we describe the preliminary results of an empirical )`ixT)   
study n\<7`,  
currently in progress to verify the measurement model and to 6X?:mn'%QF  
construct membership functions. Uq{$j5p8  
27. In Section 5 is analyzed the inference process through the two jENC1T(  
kinds of inference experiments... ^e ;9_(  
This Section iVf7;M8O  
1. In this section, the characteristics and environment under which 3;wiwN'  
MRP is designed are described. [u^ fy<jdp  
2. We will provide in this section basic terminologies and notations KhX)maQ  
which are necessary for the understanding of subsequent results. }aI>dHL  
Next Section oOAkwc%)b  
2. The next section describes the mathematics that goes into the i "X" -)#  
computer implementation of such fuzzy logic statements. (NDC9Lls  
3. However, it is cumbersome for this purpose and in practical 3/ uvw>$  
applications the formulae were rearranged and simplified as oSf`F1;)HQ  
discussed in the next section. Ex|Z@~T12  
4. The three components will be described in the next two section, m,6 2'  
and an example of xx analysis of a computer information system will 2Oyw#1tdn  
XP:fL NpQ  
then illustrate their use. Qy}pn=#Q  
5. We can interpret the results of Experiments I and II as in the MLM/!N 7  
following sections. 4K dYiuz0`  
6. The next section summarizes the method in a from that is useful 8;c\} D  
for arguments based on xx :hW(2=%  
Summary + ZiYl[_|  
1. This paper concludes with a discussion of future research f7!48,(fB  
consideration in section 5. )Y'g;  
2. Section 5 summarizes the results of this investigation. <Kr`R+Q$DN  
3. Section 5 gives the conclusions and future directions of research. 8g-Z~~0W1  
4. Section 7 provides a summary and a discussion of some extensions *zDDi(@vtK  
of the paper. bi+g= cS  
5. Finally, conclusions and future work are summarized jq8TfJ|   
6. The basic questions posed above are then discussed and <exyd6iI  
conclusions are drawn. y;4g>m a0  
7. Section 7 is the conclusion of the paper. V>E7!LIn.  
Chapter 0. Abstract w9RBT(u  
1. A basic problem in the design of xx is presented by the choice of a u*uHdV5  
xx rate for the measurement of experimental variables. $UK m[:7  
2. This paper examines a new measure of xx in xx based on fuzzy I8B0@ZtV  
mathematics which overcomes the difficulties found in other xx _h,_HW)G  
measures. 61&{I>~1  
3. This paper describes a system for the analysis of the xx. :sLg$OF  
4. The method involves the construction of xx from fuzzy relations. TgDT  
5. The procedure is useful in analyzing how groups reach a decision. )p>p3b g  
6. The technique used is to employ a newly developed and versatile @p^EXc*|  
xx algorithm. 9m v0}I  
7. The usefulness of xx is also considered. :V#xrH8R  
8. A brief methodology used in xx is discussed. (a-Lx2T  
9. The analysis is useful in xx and xx problem. S Te8*=w  
10. A model is developed for a xx analysis using fuzzy matrices. ot! m=s  
11. Algorithms to combine these estimates and produce a xx are 3&{6+A  
vkR ~nIp  
presented and justified. qxHn+O!h  
12. The use of the method is discussed and an example is given. aUc#,t;Qd  
13. Results of an experimental applications of this xx analysis AGS(ud{  
procedure are given to illustrate the proposed technique. 4!xRA''  
14. This paper analyses problems in OkISR j'!U  
15. This paper outlines the functions carried out by ... P ecZuv  
16. This paper includes an illustration of the ...  Z,O-P9jC  
17. This paper provides an overview and information useful for %Ny1H/@Q1+  
approaching p W5D!z  
18. Emphasis is placed on the construction of a criterion function by t:P]b p^#  
which the xx in achieving a hierarchical system of objectives are h <$%y(lP  
evaluated. s?->2gxhx  
19. The main emphasis is placed on the problem of xx 8@S]P0lk  
20. Our proposed model is verified through experimental study. ZPq.|6&  
21. The experimental results reveal interesting examples of fuzzy ;/?w-)n?  
phases of: xx, xx !T ,=kh  
22. The compatibility of a project in terms of cost, and xx are likewise QOrMz`OA  
represented by linguistic variables. ;XjXv'   
23. A didactic example is included to illustrate the computational ^*B@=  
procedure 2Kr> 93O  
Chapter 1. Introduction S0:Oep   
Time k2,`W2] ^E  
1. Over the course of the past 30 years, .. has emerged form intuitive @o'L!5Y  
2. Technological revolutions have recently hit the industrial world cwtlOg  
3. The advent of ... systems for has had a significant impact on the B|$o.$5  
4. The development of ... is explored 1x\k:2U  
5. During the past decade, the theory of fuzzy sets has developed in a -J#RGB{7  
variety of directions Lz-|M?(  
6.The concept of xx was investigated quite intensively in recent years YN <vOv  
7. There has been a turning point in ... methodology in accordance Gx}`_[-  
with the advent of ... l`:u5\ rM  
8. A major concern in ... today is to continue to improve... afD {w*[8  
9. A xx is a latecomer in the part representation arena. P{_%p<:V  
2*#i/SE_  
10. At the time of this writing, there is still no standard way of xx GQd[7j[sh  
11. Although a lot of effort is being spent on improving these >BK/HuS  
weaknesses, the efficient and effective method has yet to be `VUJW]wGu  
developed. |_7k*:#q:  
12. The pioneer work can be traced to xx [1965]. -%%Xx5D  
13. To date, none of the methods developed is perfect and all are far Zby3.=.e  
from ready to be used in commercial systems. v#<{Y' K  
Objective / Goal / Purpose ) )FLM^dj  
1. The purpose of the inference engine can be outlined as follows: -vY5h%7kf  
2. The ultimate goal of the xx system is to allow the non-experts to UQ7]hX9  
utilize the existing knowledge in the area of manual handling of loads, YX)Rs Vf  
and to provide intelligent, computer-aided instruction for xxx. zb"4_L@m2  
3. The paper concerns the development of a xx I_Gz~qk6  
4. The scope of this research lies in %eIaH!x:  
5. The main theme of the paper is the application of rule-based CnZEBAU  
decision making. /3SEu(d!  
6. These objectives are to be met with such thoroughness and ='4)E6ea?  
confidence as to permit ... |>'N^   
7. The objectives of the ... operations study are as follows: |mRlP5  
8. The primary purpose/consideration/objective of -\;0gnf{J  
9. The ultimate goal of this concept is to provide /je $+  
10. The main objective of such a ... system is to 2fu<s^9dh  
11. The aim of this paper is to provide methods to construct such 19y,O0# _  
probability distribution. ;fW~Gb?"  
12. In order to achieve these objectives, an xx must meet the cqJXZ.X C  
following requirements: |W=-/~X  
13. In order to take advantage of their similarity : #?_4D!r  
14. more research is still required before final goal of ... can be <DR! AR)  
completed #Ktk["6  
15. In this trial, the objective is to generate... gt(p%~  
16. for the sake of concentrating on ... research issues .Tq8Qdl  
17. A major goal of this report is to extend the utilization of a recently \9` ~9#P  
developed procedure for the xx. Y~{<Hs  
Y`eF9Im,  
18. For an illustrative purpose, four well-known OR problems are w{xa@Q]t-  
studied in presence of fuzzy data: xx. $%"hhju  
19. A major thrust of the paper is to discuss approaches and ~]d9 J  
strategies for structuring ..methods .[1 f$  
20. This illustration points out the need to specify qpCaW0]7  
21. The ultimate goal is both descriptive and prescriptive. \#) YS  
22. Chapter 2. Literature Review ^gp]tAf  
23. A wealth of information is to be found in the statistics literature, \aM-m:J  
for example, regarding xx #\^=3A|b  
24. A considerable amount of research has been done .. during the K\;4;6 g  
last decade MD<x{7O12>  
25. A great number of studies report on the treatment of YsVKdh  
uncertainties associated with xx. LA lX |b  
26. There is considerable amount of literature on planning %$Py@g  
27. However, these studies do not provide much attention to +}?%w|8||s  
uncertainty in xx. k \T]*A  
28. Since then, the subject has been extensively explored and it is Ij.mLO]  
still under investigation as well in methodological aspects as in bCC &5b  
concrete applications. >yn]h4M  
29. Many research studies have been carried out on this topic. w42{)S"  
30. Problem of xx draws recently more and more attention of system 5WRqeSGh  
analysis. t g-(e=S4P  
31. Attempts to resolve this dilemma have resulted in the vf<Dqy<M.  
development of u1u;aG  
32. Many complex processes unfortunately, do not yield to this .*oL@iX  
design procedure and have, therefore, not yet been automated. CPcUB4a%#  
33. Most of the methods developed so far are deterministic and /or BCz4 s{F  
probabilistic in nature. .6 0yQ[aE  
34. The central issue in all these studies is to t B`"gC~  
35. The problem of xx has been studied by other investigators, 8?kB+}@6X  
however, these studies have been based upon classical statistical W1 xPK*  
approaches. c?c\6*O  
36. Applied ... techniques to PX&}g-M9  
37. Characterized the ... system as ,Fkq/h  
yY49JZ  
38. Developed an algorithm to US9aW)8  
39. Developed a system called ... which AT3HH QD  
40. Uses an iterative algorithm to deduce %Y'/_ esH2  
41. Emphasized the need to [k r-gV  
42. Identifies six key issues surrounding high technology %_p]6doF  
43. A comprehensive study of the... has been undertaken ZTfW_0   
44. Much work has been reported recently in these filed :KG=3un ]  
45. Proposed/Presented/State that/Described/Illustrated/ >Sk%78={R  
Indicated/Has shown / showed/Address/Highlights fiSX( 9  
46. Point out that the problem of qyKR]%yzi  
47. A study on ...was done / developed by [] P2s\f;Dwr  
48. Previous work, such as [] and [], deal only with )*uotV  
49. The approach taken by [] is iRG6Cw2  
50. The system developed by [] consists "o u{bKe  
51. A paper relevant to this research was published by [] c>/7E-T  
52. []'s model requires consideration of... |+sAqx1IF  
53. []' model draws attention to evolution in human development ^ . A  
54. []'s model focuses on... #FRm<9/j  
55. Little research has been conducted in applying ... to W)  
56. The published information that is relevant to this research... zn^ G V  
57. This study further shows that gC kR$.-E  
58. Their work is based on the principle of Em{;l:;(W  
59. More history of ... can be found in xx et al. [1979]. UM21Cfqex  
60. Studies have been completed to established ""N~##)8  
61. The ...studies indicated that ScVbo3{m*T  
62. Though application of xx in the filed of xx has proliferated in Z]k@pR !  
recent years, effort in analyzing xx, especially xx, is lacking. tr/.pw6  
Problem / Issue / Question 1LvR,V<  
63. Unfortunately, real-world engineering problems such as K~3Y8ca  
manufacturing planning do not fit well with this narrowly defined LZs'hA<L  
model. They tend to span broad activities and require consideration +eLL)uk  
of multiple aspects. M5_ t#[ [  
64. Remedy / solve / alleviate these problems rqm":N8@  
67. ... is a difficult problem, yet to be adequately resolved >X"\+7bw  
4,Uqcw?!F'  
68. Two major problems have yet to be addressed swJQwY   
69. An unanswered question >/%XP_q%`e  
70. This problem in essence involves using x to obtain a solution. c_.Fe'E  
71. An additional research issue to be tackled is .... mC(YO y  
72. Some important issues in developing a ... system are discussed aZtM _  
73. The three prime issues can be summarized: oY; C[X  
74. The situation leads to the problem of how to determine the ... "}-S%v`)z  
75. There have been many attempts to #@1(  
76. It is expected to be serious barrier to ^7;s4q  
77. It offers a simple solution in a limited domain for a complex c"1Z,M;G  
problem. %S$$*|_ G  
1. There are several ways to get around this problem. V 7ZGT  
2. As difficult as it seems to be, xx is by no means new. GWWaH+F[h  
3. The problem is to recognize xx from a design representation. /?z3*x  
4. A xx problem can trace its roots to xx. G!%8DX5  
5. xx [1987] used a heuristic approach to simplify the complexity of ub`zS-vb  
the problem. uq54+zC  
6. Several problems are associated with them. i*!2n1c[  
7. Although some progress has been made in this area, at least two N|Xm{@C  
major obstacles must be overcome before a fully automated system x5/&,&m`%  
can be realized. n;>=QG -v  
8. Most problems in practice are complicated AR$SQ_4  
9. More problem surface here. "J+4  
10. Hamper effort toward a xx system ?0+g.,9  
11. In order to overcome the limitations due to incomplete and a1_o  
imprecise xx knowledge, a xx program has been developed, which /Bh*MH  
bases its knowledge upon the statistical analysis of a sample %*Uc,V  
population of xx ?~yJ7~3TS<  
12. The above difficulties are real challenges faced by researchers _jg t Z  
attempting to develop mF jM6pmo  
13. This type of mapping raises no controversy to the issue of Aq3\Q>klH)  
membership function determination. @>V;guJC%  
14. However, attempts to quantify the xx have met both theoretical d~{$,"!-f  
and empirical problems. ;ny9q  
LNHi }P~  
15. It has become apparent that in order to apply this new # h4FLF_w  
methodological framework to real-world problems and data, we have uI%7jA~@  
to pay attention to the problems of xx and xx. ;YW@ 3F-h  
Chapter 3. Proposed methodology W7!iYxO  
Assumption Ek6 g?rj_  
1. In the case when the assumption of a xx seems to be too CA5`uh  
restrictive or inadequate, the formulation with Fuzzy termination J.M&Vj:  
time, i.e. given by a fuzzy set in the space of control stages, may be aJA(UN45  
applied. ;z N1Qb  
2. We assume here the fuzzy constraints to be state-dependent, and FoH1O+e  
the fuzzy goal to be the same for all the control states, xx, which ACZK]~Y'N*  
stems from the problem's nature. (}.MB3`#C  
3. An approach to the solution of this problem is presented under the BzO,(bd!PI  
assumption that the sampling rate Decision can be made prior to the 57gt"f  
execution of the experiment, as opposed to being made while the JPng !tvR  
experiment is in progress. 2l^_OrE!  
4. Another assumption made above is that there are precise odds at }*xjO/Ey  
which the expert is indifferent. e6J^J&`|4  
5. Main simplifying assumptions are: 0.w7S6v|&  
6. This, in our view, is a questionable assumption. ,uPcQ  
Outline / Structure / Module b.@4yW  
1. An outline of the research cBZEyy&  
2. Information is incorporated within the scheme OH sA]7S  
3. Is built into ... structure ,$> l[G;Bm  
4. A nice modular structure. J@6j^U  
5. The principles of ... are applied as modularized criteria #u8#< ,w  
Classification #ye`vD  
1. A xx system comprises three main components: Sp:w _;{#  
2. Must decompose the original .. into a set of .. [YHtBM:y  
3. Consists of the following steps: =r7!QXPH}  
4. This is summarized in the following steps: 2Ki_d  
>V27#L2:J  
5. Can be broadly classified into the following areas: 8B?U\cfa^  
6. Can be characterized by its function of effectively processing the $/ IFSB9  
7. Can allow further breadth of application of ...into more P~=yTW  
8. The following steps should be followed }_XiRm<  
9. xx can be classified by a different ways. 62zu;p9m  
10. Based on the xx, one may classify xx into the following: $6pLsX  
11. This catalog may change due to wear, breakage, and purchasing. a{hc{  
System _avf%OS  
1. Unlike many conventional program, expert systems do not 5}ftiy[Yc  
usually deal with problem for which there is clearly a right or wrong TaBya0-  
answer. _Tor9Tj  
2. The system consists of both ... and ... Y'i yfnk  
3. The system has a hierarchical modular architecture organized on 7KhS{w6  
three levels. 9|Jv>Ur=)2  
4. expert system domains are area of expertise A`f"<W-m  
5. To develop a xx system for xx, the following factors must be J*$%d1  
considered: }" vxYB!h3  
6. The system has been developed / designed to determine 2WFZ6  
7. The system has proven to be able to nco.j:  
8. The domain in which an expert system operates is a particular DMG~56cTO,  
domain A%W]XEa<  
9. The system comprises a ... with :QGo -,6-  
10. The system is [feature-oriented ] / based on the ... technique ;98b SR/  
11. The system environment must be relatively stable TsK!36 cg  
12. The system is utilized to generate, load, store, update and iv *$!\Cd  
retrieve ... nJN-U+)u  
13. The development of a xx system has two stages: xx stage and xx z0<E3t  
stage. _) x{TnK  
14. The most essential part of .. system is the ... j}ob7O&U'w  
15. The successful developments in ESs have made them an jj2iF/  
important tool in the development of rAu% bF  
16. An automated system was developed for <.n,:ir  
17. In this case, the system can be considered to be generative. ITw *m3  
$kTm"I  
18. An interactive automatic ... system Za{O9Qc?D|  
19. A …. is commonly thought of as a truly integrated .. system .h=n [`RB  
20. Should be capable of being generated from a ... system 8>e YM  
21. xx is an important part of the integrated system. l&+O*=#Hh  
22. The model consists of four rule bases, each of which addresses a 2j%=o?me^p  
separate problem in the hierarchy of scheduling decision. agx8 *x  
23. The rule bases are linked to each other in a chin-like manner in ]{6/6jl  
the sense that the consequent of one rule base constitutes a part of Pl:4`oY3  
the antecedent of the next rule base. DlUKhbo$g  
24. The rule base consists of all possible combinations of the q8d](MaX  
linguistic terms associated with the linguistic variable of the AyO%,6p [  
antecedent of a rule. uAA2G\3  
Computer System r&4Xf# QD6  
1. The system has been implemented using Prolog language in an 'r]6 GC8Z$  
MS-DOS environment. Prolog was chosen because it offers a well Q&]|W Xv  
known and flexible environment in which fuzzy reasoning may be #s~;ss ,  
easily implemented. MWv@]P_0p!  
2. The current version of the xx program when compiled with 9?,i+\)qK@  
WATFOR77 results in an executable code of about 270K bytes. 2]mV9B   
Typical run time, when run on a XX computer (an IBM compatible ~x,_A>a  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min jlj ge=#c2  
to 2h, depending on the size (or complexity) of the problem. N4+Cg t(  
3. Time consuming procedures have been implemented in <4G y~?  
C-language and directly linked to the Prolog environment. [ *Dj:A)V^  
4. The xx process, once the xx's data has been entered, requires Wm6qy6HR  
approximately 180 seconds. @6'~RD.  
5. It should be noted that the computation was done with a 20 Hhz, X+]>pA  
80386..209;based microcomputer equipped with a 80387 math S3Y.+. 0U  
co-processor. / Ot3[B  
6. The computer programs used for the analyses, one based on the xx 0vj CSU-X  
method and the other based on the new method, were written in Mm@G{J\\  
FORTRAN with a compiler that supports the math co-processor. z+yq%O  
7. Lisp, Prolog give maximum flexibility but also maximizes ?) y}HF  
csW\Q][  
development time. 0fewMS*  
l Internal representation is the way a model is represented in the Hnt*,C.0  
computer. T>asH  
l An interactive menu-driven procedure is used in this study X~jdOaq{F:  
l Shell can be develop very fast at the cost of time fairly severe R)66qRf  
limitations. o>8~rtl  
l While there is no measurable saving of time for the case involving vIJ5iLF  
five criteria, the saving is dramatic for the case involving 10 criteria SQ,-45@W  
-- the computation time reduces from 10 hr 40 min to about 1 min. a5#G48'X  
l This combination is being implemented in an objected-oriented .h meP MK  
programming environment (Smalltalk-80 system) to solve problems fc3nQp7  
encountered in construction xxx. OY{fxBb  
Method / Approach / Study / Process Model / Equation /Algorithm / mzK0$y #*o  
Rule / Formula / Technique ;F258/J  
l A discussion is presented of a problem-solving system ! :]_-DX  
l To improve the efficiency of the method, the following approach O z0-cM8t  
may be applied. k3$'K}=d  
l In order to an investigation was made to find the causes of the 0FcDO5ia  
l Although large collections of rules and equations have been ,<L4tp+y0  
complied, none are generally accepted &Gh,ROo4  
l This approach will be explained and discussed thoroughly in the `e,}7zGR  
body of the report. ( 3 B1X  
l This can be accomplished by &5-1Cd E  
l This algorithm to compute the total cost can be described step by [nxYfER7  
step as follows: KhWy  
l The above preliminary analysis has provided important G K~A,Miqk  
information q. =Q  
l Various methods have been proposed for selecting an optimum... h/tCve3Z  
l These concepts have been applied to B7uK:J:c*H  
l On the basis of the concept mentioned above, #-YbZ  
l This can be achieved by A>gZl)c  
l This fact suggests that a new concept YWn""8p;P  
l This was accomplished by taking ... ` 1+*-g^r  
4|_xz; i  
l The preparatory stage is very time consuming process. OT\D;Z"__I  
l Test are performed for validity, completeness, and compatibility M%_*vD  
l There is little hope of achieving successful ... 7kV$O(4  
l There has been an increasing awareness of the potential of using a&G{3#l  
most ..so far made have not taken this approach, with the exception S=P}Jpq?Y;  
of sP^:*B0  
l Only a few studies can be found. !X7z y9  
l It is a very tedious process to go through k I`HD  
l It is only when .. has been completed that .. may be effected )>h3IR  
l The entire interpretation process is conducted in one's head. !7\dr )  
l These approaches are sometimes very tedious. 8WDL.IO  
l Several techniques can be used ~Zsj@d  
l A polynomial parametric model can be written as [the /{buFX2"}  
following]/[follows]: 'E #L6,&  
l A xx model is constructed/formulated using xx. s@~3L  
l A xx model represents an xx by its xx. 4'D^>z!c  
l A process decision model captures the logic essential to 9HR1m 3  
l From the equation above, xx is equal to the summation of xx Fb<'L5}i  
times the ... C4E}.``Hm  
l The validity of a xx model can be checked using Euler's formula. !N+{X \+  
l Given a model, one can mathematically determine whether ... or ... JUw|nUnl?  
l Equations for xx need to be derived and implemented in the JGq9RB]D$  
system. |goBIp[  
l A number of heuristic rules have been developed for Vfd_nD^8oZ  
l Optimum .. techniques can be made more reliable by ... so that O~8jz  
l An algorithm based on the characteristic ... is used to determine Z5r L.a&  
l Euler's formula states the following: pDP* 3  
l The completed model should agree with the formula. $R ze[3  
l For manufacturing purposes, a detailed and precise model of the xM)P=y_!M+  
object is necessary 85"Szc-#  
l Engineering design models are very well defined; therefore, -"yma_  
l To keep the domain narrow enough to be implementable, yet wide b6e 2a/x  
enough to 68~]_r.a  
be useful. 0RdW.rZJ  
*W |   
Point of View Yc[vH=gV}  
l from an implementation standpoint, kazgI>"Q8  
l From the point of view of this application, C]ho7qC  
l From this point of view, Zadeh suggested an inference rule named )@ B !  
xxx (CRI for short). =`}|hI   
l Information is the meaningful interpretation and correlation of Ktuv a3=>N  
some aggregation of data in order to allow one to make decisions. 5#_GuL%  
l From a practical point of view, the computational aspects of an !Y^B{bh  
FLC require a simplification of the fuzzy control algorithm. *Q [%r  
l The use of a hammer to insert screws, although partly effective, IH=%%AS  
tends to distort, destroy, and generally defeat the purpose of using a a#Z#-y!  
screw [Kusiak AI Implications for CIM p.129] xjDaA U,  
Justification v~^*L iP+  
l We choose the so called xx in our experiment because it has ] C_$zbmi  
received wide acceptance and can U&+lw=  
l Prolog was chosen because it offers a well known and flexible 's8LrO(=  
environment in which fuzzy reasoning may be easily implemented. '}Jq(ah(  
l The rationale behind this is that it can be much easier for an 0a$hK9BH  
estimator to rate a cost as high than to attempt to place a dollar &~)1mnv.  
value on the estimate. Q `h@-6N  
l This strategy has been widely used in fuzzy control applications A{hST~s  
since it is natural and easy to implement. ui*CA^ Y  
l A function definition expresses the membership function of a =5p?4/4 J  
fuzzy set in a functional form, typically a bell-shaped function, etc. L#T`h}1Z  
Such functions are used in FLC because they lead themselves to Ga"<qmLMc  
manipulation through the use of fuzzy arithmetic. SP|Dz,o  
l It should be noted that in our daily life most of the information on ra\2BS)X  
which our decisions are based is linguistic rather than numerical in JR/^Go$^  
nature. Seen in this perspective, fuzzy control rules provide a natural nR?m,J  
framework for the characterization of human behavior and decisions `{@?O%UB  
analysis. !B*d,_9 c  
l Many experts have found that fuzzy control rules provide a JA?P jo  
WkY>--^  
convenient way to express their domain knowledge. This explains j0K}nS\ P  
why most FLCs are based on the knowledge and experience which r`=!4vY2  
are expressed in the language of fuzzy "if-the" rule. OY#=s!] M  
Chapter 4. Examples 5zI I4ukn*  
Example/ Data h3L{zOff  
l The data used in the following example was taken from an @y\M8C8  
experiment in which xx was measured between x and x using a xx wkZ}o,{*:  
technique. ,ffH:3F  
l The data consists of over xx measurements. U_c9T>=  
l An example of xx is discussed and the control rules of xx are "(#]H;!W  
compared with a xx oBTRO0.s+  
l Examples of complex processes to which this technique may be ;GxKPy  
applied are xx, xx, etc. CVBy&o"6A  
l The following example is constructed only for the purpose of Cy##+u,C  
illustrating the computational procedure discussed. {e8.E<f-  
l This example clearly demonstrates that the profile of an individual  snyg  
xx, or a very small group of xx, with no enough data to be studied ~nG?>  
statistically, can be meaningfully analyzed by fuzzy possibilistic gG.b=DvzY  
methods. ,.<l^sj5  
l There is no space here to go into detail on all these methods, but /A;!g5Y  
deserve a mention and the bibliography will point to detailed _(s|@UT#  
references for those wishing this level of detail. 0X3k Vm <  
l Note that the golf ball spotting example is used throughout the ']ussFaQ  
paper. vHPp$lql  
Comparisons H)5v X+9D  
l As well, the pros and cons of these representations from a process >;.' $-  
planning point of view will be discussed. e" f/  
l The method of using xx to implement xx described by Zadeh Pp[?E.]P  
(1973) appeared more suitable 0x\bDWZ_  
l As discussed [in the previous section]/[preciously], wh@;$s"B  
Rj9YAW$  
Relation $5`P~Q'U  
l We can not invert F' directly because it defines a many-to-one 0a??8?Q1G  
mapping. c} GH|i  
l The relationships appear very complicate ee.#Vhz  
l Lifting tasks involve complex and imprecise relationship between I=)u:l c  
the task variables and the human operator's characteristics. }0Qex=vkO  
l These methods are based on the relationship between ... and ... ?6F\cl0.  
l The fundamental concept of a fuzzy rating language is that we can <T[ wZ[l  
establish a relationship among terms such as high, medium, and low, >'^Tp7\  
and then modify these relationships. V(|@6w w  
l This article will thus mention the latter as well as the former. lU0'5!3R,  
l The former two bear a close relation to a fuzzy Cartesian product. |?=K'[ 5  
Importance 8[S srk  
l The emphasis is on an implementation of a general approach to \Q"j^4   
rule based decision making. 0HA`  
Consideration / Attention )A}u)PH4O  
l Careful evaluation is necessary to ensure &>zzR$#1  
l Such a formulation does not change further considerations. Lj"@JF;c  
l Considerable attention has been paid to r5kKNyJ  
l Attention should be paid to an important finding of this cRm+?/  
investigation. M<R3JzT  
l Caution should be exercised in this process to avoid ... 8LI,'XZ  
l Primary consideration is given to ... components, though others U_t[J|  
can be accommodated 6ge,2[PU  
l After ... has been defined by ..., a carefully analysis is carried ;x/do?FbT  
out/performed to determine }w{ 6Ua  
l A number of factors such as ...need to be taken into consideration ),ur! v  
before making the appropriate decision. WC6yQSnY&  
l It should be noted that 9K]Li\  
l It is important to point out that ... \$.8iTr@  
l These considerations have heightened interest in the possibility of ZG29q>  
providing ... TI^W=5W@@  
rucgav  
l We should stress the fundamental importance of the xx or~2r 8  
Chapter 5. Results. <$6r1y*G  
Advantages / Disadvantage e[<vVe!  
l One of the major advantages of this new measure of xx is that it F|+Qi BO  
can be applied to the experimental study of  GtR!a  
l One advantage of using a .. is the ease of preparing it. &PQhJ#YG  
l The xx system is versatile 6_Ps*Ed  
l It has a very fast decision making process 7s8-Uwl<  
l All the algorithms involve mostly logical operations. oT7 6)O  
l It can be easily and without additional cost implemented in a b 6kDkE  
microprocessor-based environment. cQg:yoF  
l It can reduce the waste of designing from scratch. 9:DT+^BB  
l The advantages of using a xx to represent xx are the following: /g/]Q^  
l However, xx is not without its shortcomings. <{ZDD]UGs0  
l In most cases, the xxx shows an improvement over the existing Y -yozt  
xxx. .r ,wc*SF  
l Compared to the existing xx, the impacts of the xx are generally 2VpKG*!\  
reduced by 5% to 9%. P 2-^j)  
l The "best case" results shows a savings of 6% to 9%. 6zbqv6  
l Most of the existing works based on xx approach can only ]rNM3@bVy  
recognize a xx . Nxm^jPM 0  
l Most of the above methods are computational expansive and GZefeBi  
limited to xx. v2Ft=_*G|  
l Some other advantages of xx are the following: 7)RDu,fx  
l The problem is the limitation of this method to a limited domain of 53X i)  
parts. 1tZ7%0R\g]  
l It proved limited in application because it demanded precision in 8SZZ_tS3r  
system modeling that was impossible in practice. MnL o{G]  
l There are advantages to be gained in the structuring of costs and h5)4Z^n  
benefits, the use of xx, eoj(zY3  
l The disadvantages of this method are also disadvantages of EpW89X  
conventional xx approaches.  m~I@ q [  
Yt!o Hn  
l This combines the best features of both techniques QBYY1)6S,  
l Hopefully, this tool can be as the reference framework of for # x+7-hi  
developing a xx platform, and helping the administration, marketing, T^ )\  
and knowledge management activities in virtual communities. XQ'$J_hC  
Results o[aP+O Md  
l An improvement on the result shown above can be made by based m@i](1*T|  
on the data provided 2^X<n{0N)  
l Discussion of these theories is beyond the scope of this review ]\1H=g%Ou  
l Based on the information contained in this +;Pkpuu  
l The result can be categorized into nine classes Vl^p3f[  
l The results are illustrated by an example |jI|} ,I  
l The experimental results for each xx time are reported in Table 2. :@b=;  
l From the results obtained so far, it seem that }~v&  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn %$<v:eMAs  
as C14"lB.  
l Although much effort has been made to., this reality is far from 84_Y+_9  
completion. ?!.L#]23f  
l The results indicate that the total benefits are higher than the hRQw]  
total costs. +ovT?CM o  
l Their results may then serve as guidelines for lower level models, ! GJT-[  
less fuzzy and more detailed. I.gF38Mx  
Chapter 6. Conclusion c;,-I  
l From the discussion, one may conclude that ... 0Of 6$`  
l Form the above discussion, the conclusion can be reached that v]'\]U^  
l The conclusions drawn are also valid * m8{yh  
l In conclusion to this, it becomes obvious that the problem of xx ^U6VJ(58P  
lies not only in... z.!u<hy(  
l We have attempted to introduce some concepts associated with a Jz]OWb *  
theory of q8)w Al  
xx based on fuzzy sets. 19:1n]*X<  
l Considerable more work, hopefully, will be done in this area w!b;.l  
l A fuzzy set procedure is proposed to solve xx selection problems Jim5Ul  
Qoa& ]]  
interwoven with imprecise data oT!i}TW?o  
l Employing the compositional rule of inference, the assessment of GF36G?iEi  
the xx compatibility in achieving prescribed xx projectiles in any DFb hy  
level of the hierarchy is made possible. On(.(7sNc  
l This paper has presented a theoretical and experimental study of Z-L}"~  
the xx process and xx concept. FP")$ ,=s  
l The experimental research results will hopefully serve as useful E_0i9  
feedback information for improvements for xx work. }((P)\s  
l The scope of this contribution was to introduce a xx method. \'&,9lP  
l In general, fuzzy sets theory provides an alternative foundation jw)c|%r>  
for xx analysis in a fuzzy environment. lSy_cItF  
Future Research %"ehZ d0r  
l Thus, first extension of the approach could be, 4YXp,U  
l Present some cues for a further approach from Fuzzy Sets Theory 8g?2( MT;  
application to x=N0H  
l Some improvements to the scheduling aspect of the model may 6%V#_]  
be brought through additional levels in the hierarchy for more R8Dn GR  
detailed representation of the scheduling activity. 8mC$p6Okd  
Tables and Figures Y2|c;1~5$  
l Figure 7-1 sketches these relationships. 9Qq%Fw_  
l The graphical representation of these functions is shown in Figure }vZTiuzC  
1. V$ho9gQ!l[  
l The xx may be depicted as in Figure 1. miV8jaV  
l Figure x shows the schematic diagram of the (\4YBaGd  
l Figure 1 though 2 provide a ... that ]{AHKyA{:  
l the architecture of this expert system for .... is illustrated in Figure {DX1/49  
2. <U}25AR  
l Figure 2 gives the outline of an ... system +WvW#wpH  
l Table shows the 7U - ?Rd  
l as shown in Table 1 and 2 sh%%U  
l This concept is illustrated in Figure 2 ,%KMi-w]q,  
l At the top of Table xx are shown two blocks of data. N8Un42  
GFZx[*+%%z  
l Each table or matrix has constructs xx through xx as 6MbMAh5>  
row-headings, nN(Q}bF  
xx through xx as column-headings. o2^?D`Jr  
l A table of .. is developed and significant recommendations are _p| KaT``  
made. .-: 6L2  
CONJUGATION NTSKmCvQG  
To Indicate Addition ]2xoeNF/W{  
l additionally, again, also, and then, as can be easily understood, !Op18hP$  
besides, equally important, especially, finally, for the same reason, u_S>`I  
first, further, furthermore, in addition, last, likewise, moreover, next, Y0nuwX*{  
second, third, too, evidently, obviously, roughly speaking, broadly I`}x 9t  
speaking G/8G`teAZ  
To Indicate Cause and Effect |)Sx"B)  
l accordingly, as a result, consequently, for this reason, hence, in )h(yh50 B  
short, otherwise, then, therefore, thus, truly Gp))1b';  
To indicate Comparison }UHoa  
l in a like manner, likewise, similarly , alternatively !O #NP!   
To Indicate Concession hH@pA:`s  
l after all, although this may be true, at the same time, even though, |y7#D9m  
even so , I admit, naturally, of course evHKq}{  
To Indicate Contrast E- rXYNfy  
l and yet, at the same time, but, for all that, however, yet, in fact, in zXg/.z]  
contrast, in the real life, in spite of, nevertheless, notwithstanding, zf^F.wW  
normally, on the contrary, on the other hand, still, traditionally, %D}]Z=gp  
rather, unfortunately, h3 :dO|Z  
To Indicate Time Relationships: [KjL`  
after a short time, afterwards, as indicated earlier, as long as, as soon f<G:}I  
`=f1rXhI+1  
as, at last, at length, at the moment, at that time, at the same time, CI6qDh6  
before, earlier, currently, immediately, in the meantime, in recent qbe9 CF'@_  
years, lately, later, meanwhile, often, of late, presently, recently, 18U CZ;)>  
soon, shortly, since, thereupon, temporarily, therefore, until, when, >|So`C3:e  
while afa7'l=^i  
To Indicate Special Features or Examples: !'EE8Tp~F  
for example, for instance, incidentally, indeed, in fact, in other words, .EUOKPK4W  
in particular, in practice, specifically, that is, to illustrate, in this sGD b<  
respect, theoretically, as mentioned before / above I~>L4~g)  
To Indicate Summary: #0 j,1NpL  
in brief, in conclusion, in short, in summary, on the whole, to 8TnByKZz  
conclude KI="O6 h  
, in general, to summarize, to sum up, as a result, ultimately, ` `R;x  
VERB PHASE Lqv5"r7eV  
l build a .. model pB;p\9A*q  
l build up the key link %%w]-`^h,  
l began a new era in ... G&Sp }  
l can be regarded as / achieved / used to/for / found / obtained A@0%7xm  
through -3<5,Q{G+  
l can result in x1kb]0s<-  
l carries out ... tasks AhARBgf<  
l production information in order to simultaneously Oj*3'?<7=  
l contains all information necessary to describe r='"X#CmV/  
l do not make use of production information FPu"/4v&  
l deals with Kj_hCSvf3e  
l end with failure 5Qik{cWxBq  
l fetch the information from the model directly Z?5kO-[  
l has great potential / yet to be resolved / spurred the 5"5D(  
development of /  (Ia}]q  
been recognized as  wNW9xmS  
l BE aimed at / built up / carried out by / essentially concerned Q+[e)YO)  
?s("@dz_  
with / considered to be the key technology / associated with each bO: Ei  
feature of a compo (@dh"=Lt\  
site component / cable of / currently implemented for / "| <\\HR  
demonstrated by an example / finally reached / made equal to / 5[M?O4mi  
equivalent to / more suitable to / oriented to / interpreted as / V$+xJ  m  
pointed out / potentially of great benefit in the complex task of / 9LGJ-gL  
shown in / used to effectively guide the search  KD^>Vv#  
l makes use of H>[1D H#b  
l make up A}sb 2P  
l meets the needs of real life production,/ the current demands ZN|DR|c UY  
placed upon it !=#E/il,  
l must be justified rO/mK$  
l point out o*\kg+8  
l play an important role SM5i3EcFYP  
l relates to x{C=rdp__  
l rely on EW$ Je  
l satisfy the needs UHz*Tfjb  
l determine the total requirements for the ... #JGy2Hk$^  
l uses ... as a key to search for... }.7!@!q.  
l without relying on 28 -6(oG  
l will be available/ performed/ overlooked BSG_),AH  
NOUN PHASE O: sjf?z  
l a basic technical function of m~#S76!w  
l a critical need $g _h9L  
l a key / principle feature of [b J/$A  
l a substantial impact on R5G~A{w0  
l an intensive review was conducted #;a 1=8H  
l an increasing need for expanding the application of .... GdR>S('  
l an important component / function / aspect / issue M 'W@K  
l each rule is numbered in sequence U n2xZ[4  
l each of these involves NDU,9A.P  
l for this calculation, it is necessary to define _$0<]O$  
l in the physical environment / integration of ];^A8?  
1fQvh/2  
l in the reality of situations where … XY1NTo. =  
l many aspects of vyERt^z  
l most past efforts have been spent on ... pQ*9)C   
l common sense to a well studied and documented technical field. ME1lQ7E4B  
l sources of additional information on ... are listed CY0|.x  
l systematic and rationally structured format vd SV6p.d  
l the basis on which a range of ...operations can be established is De4UGX  
shown hv}rA,Yd  
l THE basic philosophy / principles of / key element / general B=7bQli}  
hypothesis / candidate list of / concept of ... has attracted wide 22`W*e@6h  
interest / function is concerned with / heart / impact / nature / role 8Cs)_bj#!  
/ task of / kernel functions  ^P~%^?(  
l the number of parts needed to '[~NRKQJ  
l the above statement means that 5 r"`c  
l the output data is passed to h5U@Ys  
l the proposed method / underlying principle Va\dMv-b  
l the recommendations made in this report, if implemented, should p8oOm>B96n  
l this information resides in 2+TCFpv  
l this process is composed of ... different ... operation 5iz]3]}%  
l along with the use of *O#%hTYq  
l concerning general aspects of vJ7I [Z  
l due to "L|Ew#  
l for later use in generating..., MmI4J$F  
l in turn, "8&pT^  
l IT IS believed / noted / assumed / suggested / shown / quite Y]P'; C_eP  
evident / appears / implies that / intended for / of no important to 7$<.I#x  
l it can be claimed/concluded that tU >wRw=d  
l it demonstrates the decisions required of f/~"_O%  
l it also provides information to .. EQSOEf[  
l it becomes essential to u&/q7EBfP  
l let ... be the probability that f'0n^mSP  
l once... is written, it is compiled into... \-0@9E<D  
l suppose it is observed that [pUw(KV2m  
l this is because sNc(aGvy  
@H= d8$  
l this results in a *&q\)\(3w  
l upon completion of the ... analysis, A07g@3n  
l when the knowledge is of mathematics or quantum physics, it will hF s:9  
also be KoRJ'WW^  
recorded in books and papers &M,a+|yuY  
l selection of rules for using the tools, for generating operation 1"?KQU  
plans, U s 86.@|  
is another matter of preference, since practice varies greatly. ((Ak/qz  
l for the sake of convenience p @&>{hi@  
l correct decision to be reach K 4QJDC8  
l keeping the number of rules to a minimum. Ve*NM|jg  
l a good process plan will result exhibiting several characteristics: n1m[7s.[&  
l practical solutions z6ISJb  
l because of rather small job lot sizes 'DO^($N  
l Backward reasoning can be used to answer the question "should /x,gdZPX  
milling tool be select" different level of knowledge in the realm of cjAKc|NJ  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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