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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  s-&i!d  
K&=6DvfR  
n4"xVDL  
Beginning )^ )|b5,  
1. In this paper, we focus on the need for rXe+#`m2  
2. This paper proceeds as follow. P; &U3i  
3. The structure of the paper is as follows. \tS| N40  
4. In this paper, we shall first briefly introduce fuzzy sets and related IWhe N  
concepts : 9zEne4  
5. To begin with we will provide a brief background on the *s2 C+@ef  
Introduction %V!!S#W  
1. This will be followed by a description of the fuzzy nature of the j{/wG::  
problem and a detailed presentation of how the required :ZM=P3QZ  
membership functions are defined. 5y~B/.YY  
2. Details on xx and xx are discussed in later sections. B|;?#okx  
3. In the next section, after a statement of the basic problem, various :{Iv ]d  
situations involving possibility knowledge are investigated: first, an Ftu d6  
entirely possibility model is proposed; then the cases of a fuzzy $')Uie<!8  
service time with stochastic arrivals and non-fuzzy service rule is 4&`d$K  
studied; lastly, fuzzy service rule are considered. xT+@0?|F  
Review z}7U>y6`  
1. This review is followed by an introduction. P$`k* v  
2. A brief summary of some of the relevant concepts in xxx and xxx is .Na'yS `J  
presented in Section 2. !t&C,@Ox  
3. In the next section, a brief review of the .... is given. M;@/697G  
4. In the next section, a short review of ... is given with special regard `{S4_'  
to ... _eaK:EW  
5. Section 2 reviews relevant research related to xx. hXn@vK6  
6. Section 1.1 briefly surveys the motivation for a methodology of 6uWPIM;  
action, while 1.2 looks at the difficulties posed by the complexity of ^c>ROpic  
systems and outlines the need for development of possibility ~NO'8 Mr  
methods. B]cV|S|  
Body (_~Dyvo  
1. Section 1 defines the notion of robustness, and argues for its ,V=]QHcg  
]B-3Lh  
importance. A4VV y~sd  
2. Section 1 devoted to the basic aspects of the FLC decision-making 1Q??R }  
logic. d7L|yeb"  
3. Section 2 gives the background of the problem which includes xxx #K[6Ai=We}  
4. Section 2 discusses some problems with and approaches to, K>`*JJ,  
natural language understanding. _VAX~Y]  
5. Section 2 explains how flexibility which often ... can be expressed 3VmF1w 2  
in terms of fuzzy time-window DUu~s,A  
6. Section 3 discusses the aspects of fuzzy set theory that are used in A ]~%<=b  
the ... Gv }~  
7. Section 3 describes the system itself in a general way, including QU^?a~r  
the ….. and also discusses how to evaluate system performance. AU H_~SY  
8. Section 3 describes a new measure of xx. EN2/3~syO-  
9. Section 3 demonstrates the use of fuzzy possibility theory in the >WW5;7$  
analysis of xx. &GLe4zEh  
10. Section 3 is a fine description of fuzzy formulation of human ao)8ie  
decision. 2o9IP>#u  
11. Section 3 is developed to the modeling and processing of fuzzy nM&UdKf3  
decision rules GxcW^{;  
12. The main idea of the FLC is described in Section 3 while Section 4 O2> W#7  
describes the xx strategies. e.pq6D5  
13. Section 3 and 4 show experimental studies for verifying the wDS(zG   
proposed model. S.A|(?x  
14. Section 4 discusses a previous fuzzy set-based approach to cost 8 n)3'ok  
variance investigation. bR;Wf5  
15. Section 4 gives a specific example of xxx. qz/d6-0"  
16. Section 4 is the experimental study to make a fuzzy model of K+J fU J  
memory process. Stxrgmu  
17. Section 4 contains a discussion of the implication of the results of B(|dT66K  
Section 2 and 3. 5Dlx]_  
18. Section 4 applies this fuzzy measure to the analysis of xx and &26H   
illustrate its use on experimental data. %G >V .d  
19. Section 5 presents the primary results of the paper: a fuzzy set ck4g=QpD{  
model .. G@;I^_ gN  
nH^RQ'19  
20. Section 5 contains some conclusions plus some ideas for further gR:21*&cz  
work. Fq9>t/Zj  
21. Section 6 illustrates the model with an example. z("Fy  
22. Various ways of justification and the reasons for their choice are mrz@Y0mgL  
discussed very briefly in Section 2. J=qPc}+  
23. In Section 2 are presented the block diagram expression of a 6 C|]Fm  
whole model &BDdJwE  
of human DM system ,dIo\Lm  
24. In Section 2 we shall list a collection of basic assumptions which hu+% X.F4  
a ... scheme must satisfy. K'zG[[P  
25. In Section 2 of this paper, we present representation and qxe%RYdA'j  
uniqueness theorems for the fundamental measurement of fuzziness aY7.<p*a  
when the domain of discourse is order-dense. : 'LG%E:b  
26. In Section 3, we describe the preliminary results of an empirical xz$S5tgDQK  
study @j Y_^8#S  
currently in progress to verify the measurement model and to rX<gcntv  
construct membership functions. dnP3{!"b  
27. In Section 5 is analyzed the inference process through the two Qb;5:U/x  
kinds of inference experiments... \!tS|h  
This Section $ (gR^L  
1. In this section, the characteristics and environment under which {PCf'n  
MRP is designed are described. E0i_sB~T  
2. We will provide in this section basic terminologies and notations 5E+k}S]M$  
which are necessary for the understanding of subsequent results. Xkv+"F=-  
Next Section Uieg4Iro  
2. The next section describes the mathematics that goes into the 9$xEktfV  
computer implementation of such fuzzy logic statements. [[[QBplJ  
3. However, it is cumbersome for this purpose and in practical Z)U#5|sf  
applications the formulae were rearranged and simplified as JqdNO:8  
discussed in the next section. j{nkus2  
4. The three components will be described in the next two section, N -]m <z>  
and an example of xx analysis of a computer information system will GZN@MK*co  
8elT/Wl  
then illustrate their use. YJ5;a\QxN  
5. We can interpret the results of Experiments I and II as in the ^yRCR] oT  
following sections. u%O^hcfb  
6. The next section summarizes the method in a from that is useful qR_"aQ7s2  
for arguments based on xx w9}I*Nra  
Summary <MN+2^ed&  
1. This paper concludes with a discussion of future research Ze$:-7Czl  
consideration in section 5. 2|~& x~  
2. Section 5 summarizes the results of this investigation. -o#0Yt}3  
3. Section 5 gives the conclusions and future directions of research. ej<z]{`05  
4. Section 7 provides a summary and a discussion of some extensions O)5-6lm  
of the paper. Yb =8\<;  
5. Finally, conclusions and future work are summarized $zCUQthL@  
6. The basic questions posed above are then discussed and &F#X0h/m=  
conclusions are drawn. A |>a Gy  
7. Section 7 is the conclusion of the paper. c_^H;~^rL  
Chapter 0. Abstract 33Mr9Doon  
1. A basic problem in the design of xx is presented by the choice of a n?,fF(  
xx rate for the measurement of experimental variables. ((dG<  
2. This paper examines a new measure of xx in xx based on fuzzy sCb?TyN'n  
mathematics which overcomes the difficulties found in other xx `bC_J,>_  
measures. !#iP)"O  
3. This paper describes a system for the analysis of the xx. jv0e&rt  
4. The method involves the construction of xx from fuzzy relations. Eun%uah6c  
5. The procedure is useful in analyzing how groups reach a decision. <1jiU%!w  
6. The technique used is to employ a newly developed and versatile M(3E b;`   
xx algorithm. 56':U29.]  
7. The usefulness of xx is also considered. oW+R:2I~O  
8. A brief methodology used in xx is discussed. 98O z  
9. The analysis is useful in xx and xx problem. rWvJ{-%  
10. A model is developed for a xx analysis using fuzzy matrices. wOk:Q4OjL  
11. Algorithms to combine these estimates and produce a xx are  b'{D4/  
N]=.I   
presented and justified. *@Qt*f  
12. The use of the method is discussed and an example is given. [w4z)!  
13. Results of an experimental applications of this xx analysis OIWo * %  
procedure are given to illustrate the proposed technique. Lq&xlW j  
14. This paper analyses problems in l/I W"A  
15. This paper outlines the functions carried out by ... n+i}>3'A  
16. This paper includes an illustration of the ... "M*\,IH  
17. This paper provides an overview and information useful for W.CIyGK  
approaching 1IsR}uLh  
18. Emphasis is placed on the construction of a criterion function by 4v?S` w:6  
which the xx in achieving a hierarchical system of objectives are IWQ8e$N  
evaluated. Z3/zUtgs  
19. The main emphasis is placed on the problem of xx R`<E3J\*  
20. Our proposed model is verified through experimental study. 7)]G"m{  
21. The experimental results reveal interesting examples of fuzzy lk'RW y"pw  
phases of: xx, xx & 3a+6!L[  
22. The compatibility of a project in terms of cost, and xx are likewise OL=bhZ  
represented by linguistic variables. O|/tRkDMP{  
23. A didactic example is included to illustrate the computational \E30.>%,  
procedure lV 1|\~?4  
Chapter 1. Introduction _\<M58/z  
Time .6hH}BM  
1. Over the course of the past 30 years, .. has emerged form intuitive YUH/ tl  
2. Technological revolutions have recently hit the industrial world ^q6~xC,/  
3. The advent of ... systems for has had a significant impact on the -/</7I  
4. The development of ... is explored 1Li@O[%X<  
5. During the past decade, the theory of fuzzy sets has developed in a A4^+p0@  
variety of directions 4>W`XH  
6.The concept of xx was investigated quite intensively in recent years ~,:f,FkSQ  
7. There has been a turning point in ... methodology in accordance N 4:'X6u;  
with the advent of ... g[$B9 0  
8. A major concern in ... today is to continue to improve... gM*s/,;O"  
9. A xx is a latecomer in the part representation arena. ,y>Na{@Y  
@.{  
10. At the time of this writing, there is still no standard way of xx r~TT c)2  
11. Although a lot of effort is being spent on improving these A>?fbY2n  
weaknesses, the efficient and effective method has yet to be >g[W@FhT'k  
developed. ^ WNJQg'  
12. The pioneer work can be traced to xx [1965]. |}`5< a!6U  
13. To date, none of the methods developed is perfect and all are far I%p#E#[G  
from ready to be used in commercial systems. T)uw2  
Objective / Goal / Purpose vf2K2\fn  
1. The purpose of the inference engine can be outlined as follows: !r|X 6`g  
2. The ultimate goal of the xx system is to allow the non-experts to ^6+x0[13  
utilize the existing knowledge in the area of manual handling of loads, @I&"P:E0F;  
and to provide intelligent, computer-aided instruction for xxx. E ( @;p%:  
3. The paper concerns the development of a xx j1ZFsTFMWp  
4. The scope of this research lies in T?Y\~.+99  
5. The main theme of the paper is the application of rule-based b5DrwX{Ff  
decision making. HhL%iy1  
6. These objectives are to be met with such thoroughness and o$O,#^  
confidence as to permit ... lQ/XJw  
7. The objectives of the ... operations study are as follows: +HX'AC  
8. The primary purpose/consideration/objective of W(aRO  
9. The ultimate goal of this concept is to provide @m V C  
10. The main objective of such a ... system is to %U GlAyj  
11. The aim of this paper is to provide methods to construct such  ]D%k)<YK  
probability distribution. Aq!['G  
12. In order to achieve these objectives, an xx must meet the (5~C _Y  
following requirements: D.(G9H  
13. In order to take advantage of their similarity >K :"[?  
14. more research is still required before final goal of ... can be @@wx~|%  
completed _sVs6AJ  
15. In this trial, the objective is to generate... ImY.HB^&  
16. for the sake of concentrating on ... research issues Yys~p2  
17. A major goal of this report is to extend the utilization of a recently !dY:S';~  
developed procedure for the xx. Nz*sD^SJa  
n#Roz5/U  
18. For an illustrative purpose, four well-known OR problems are 4_+Pv6  
studied in presence of fuzzy data: xx. N}fUBX4k  
19. A major thrust of the paper is to discuss approaches and G%!\ p:w  
strategies for structuring ..methods -vHr1I<  
20. This illustration points out the need to specify gvNZrp>e!  
21. The ultimate goal is both descriptive and prescriptive. T-C#xmY(  
22. Chapter 2. Literature Review .dT;T%3fO  
23. A wealth of information is to be found in the statistics literature, t i^v%+r1  
for example, regarding xx YM`pNtQ  
24. A considerable amount of research has been done .. during the -f J@R1]  
last decade QO{=Wi-  
25. A great number of studies report on the treatment of ttaQlEa=Z  
uncertainties associated with xx. ux yTu2L7  
26. There is considerable amount of literature on planning Wi[m`#  
27. However, these studies do not provide much attention to M~Qj'VVL  
uncertainty in xx. BD7@Mj*|  
28. Since then, the subject has been extensively explored and it is N4 mJU'_{  
still under investigation as well in methodological aspects as in hNnX-^J<o  
concrete applications. P5>5ps"iU  
29. Many research studies have been carried out on this topic. }{xN`pZ  
30. Problem of xx draws recently more and more attention of system !UoU#YU  
analysis. Hp}  
31. Attempts to resolve this dilemma have resulted in the ^2^|AXNES  
development of +Y)#yGUn  
32. Many complex processes unfortunately, do not yield to this 6lmiMU&V  
design procedure and have, therefore, not yet been automated. {kPe#n>xT  
33. Most of the methods developed so far are deterministic and /or #M?F^u[  
probabilistic in nature. w,Zx5bBg%  
34. The central issue in all these studies is to T5S g2a1&  
35. The problem of xx has been studied by other investigators, $iqi:vY  
however, these studies have been based upon classical statistical l>D-Aan  
approaches. l]Ui@X  
36. Applied ... techniques to ZP6x  
37. Characterized the ... system as )ojx_3j8  
_t|G@D{   
38. Developed an algorithm to Kr/h`RM  
39. Developed a system called ... which 4e@&QOo`Cu  
40. Uses an iterative algorithm to deduce  .3a:n\tY  
41. Emphasized the need to (@ fa~?v>@  
42. Identifies six key issues surrounding high technology [O7w =  
43. A comprehensive study of the... has been undertaken =!(*5\IM  
44. Much work has been reported recently in these filed OG`|td  
45. Proposed/Presented/State that/Described/Illustrated/ K[uY+!'1  
Indicated/Has shown / showed/Address/Highlights & =73D1A  
46. Point out that the problem of 7-".!M  
47. A study on ...was done / developed by [] 'u(=eJ@1  
48. Previous work, such as [] and [], deal only with %1\v7Xw{9  
49. The approach taken by [] is <rX \LwR  
50. The system developed by [] consists |P~O15V*Q  
51. A paper relevant to this research was published by [] $A;7Em  
52. []'s model requires consideration of... -ca7x`yo  
53. []' model draws attention to evolution in human development EkJVFHfh  
54. []'s model focuses on... ]?0{(\  
55. Little research has been conducted in applying ... to #puQi  
56. The published information that is relevant to this research... FZe:co8Mu  
57. This study further shows that O87"[c`>  
58. Their work is based on the principle of J| SwQE~  
59. More history of ... can be found in xx et al. [1979]. |7 &|>  
60. Studies have been completed to established  vv+TKO  
61. The ...studies indicated that -$+,]t^GV  
62. Though application of xx in the filed of xx has proliferated in )@}A r  
recent years, effort in analyzing xx, especially xx, is lacking. [34zh="o  
Problem / Issue / Question Wrmgu}q  
63. Unfortunately, real-world engineering problems such as ]SFWt/<  
manufacturing planning do not fit well with this narrowly defined GI4?|@%vD!  
model. They tend to span broad activities and require consideration \V]t!mZ-}l  
of multiple aspects. JC=dYP}  
64. Remedy / solve / alleviate these problems b -PSm=`  
67. ... is a difficult problem, yet to be adequately resolved }@d>,1DU  
wGg0 hL  
68. Two major problems have yet to be addressed ^6Yd}  
69. An unanswered question ^^%JoQ.  
70. This problem in essence involves using x to obtain a solution. M~uMY+>   
71. An additional research issue to be tackled is .... F8;mYuA  
72. Some important issues in developing a ... system are discussed 'e F%  
73. The three prime issues can be summarized: z. 'Fv7  
74. The situation leads to the problem of how to determine the ... %NNj9Bl<VV  
75. There have been many attempts to wfE^Sb3  
76. It is expected to be serious barrier to U_]=E<el  
77. It offers a simple solution in a limited domain for a complex E Zi&]  
problem. u$C\E<G^  
1. There are several ways to get around this problem. /0(%(2jIWl  
2. As difficult as it seems to be, xx is by no means new. GMl"{ Oxo&  
3. The problem is to recognize xx from a design representation. ]Ko^G_ Rm  
4. A xx problem can trace its roots to xx. ["u#{>(X  
5. xx [1987] used a heuristic approach to simplify the complexity of Zae.MO^C!  
the problem. ?-f,8Z|h  
6. Several problems are associated with them. 6hO-H&r++  
7. Although some progress has been made in this area, at least two pe.Ml7o"  
major obstacles must be overcome before a fully automated system 5Tedo~v  
can be realized. $E\^v^LW  
8. Most problems in practice are complicated j C)-`_  
9. More problem surface here. M diw Ri  
10. Hamper effort toward a xx system [KSH~:h:NR  
11. In order to overcome the limitations due to incomplete and ,beS0U]  
imprecise xx knowledge, a xx program has been developed, which 49AW6H.JT  
bases its knowledge upon the statistical analysis of a sample 7/aOsW"6  
population of xx Q,gLi\siI  
12. The above difficulties are real challenges faced by researchers RbEKP(uw  
attempting to develop gv|"OlB  
13. This type of mapping raises no controversy to the issue of &l m#  
membership function determination. I-kWS 4  
14. However, attempts to quantify the xx have met both theoretical BEUK}T K4  
and empirical problems. '1Y\[T*  
z=g$Exl  
15. It has become apparent that in order to apply this new ^nNitF  
methodological framework to real-world problems and data, we have 1& ^?U{  
to pay attention to the problems of xx and xx. K\u_Ji]k  
Chapter 3. Proposed methodology !Ms[eB  
Assumption <CZgQ\Mt  
1. In the case when the assumption of a xx seems to be too u5+|Su  
restrictive or inadequate, the formulation with Fuzzy termination 4CrLkr  
time, i.e. given by a fuzzy set in the space of control stages, may be `\CVV*hP  
applied. -1u9t4+`  
2. We assume here the fuzzy constraints to be state-dependent, and >/=> B7  
the fuzzy goal to be the same for all the control states, xx, which =5x&8i  
stems from the problem's nature. [0y$! f4  
3. An approach to the solution of this problem is presented under the (V?:]  
assumption that the sampling rate Decision can be made prior to the ypdT&5Mqb!  
execution of the experiment, as opposed to being made while the JSr$-C fH  
experiment is in progress. 4( 8xjL:  
4. Another assumption made above is that there are precise odds at ] )}]/Qw  
which the expert is indifferent. MTOy8 Im  
5. Main simplifying assumptions are: y[?-@7i  
6. This, in our view, is a questionable assumption. n6<V+G)T  
Outline / Structure / Module )"+2Z^1-  
1. An outline of the research 6 #@ f'~s  
2. Information is incorporated within the scheme .2) =vf'd  
3. Is built into ... structure N<(.%<!  
4. A nice modular structure. [U/(<?F{(  
5. The principles of ... are applied as modularized criteria |r%D\EB  
Classification [*:6oo98'  
1. A xx system comprises three main components: RsJ6OFcWV  
2. Must decompose the original .. into a set of .. }Gyqq6Aeb  
3. Consists of the following steps: u8GMUN  
4. This is summarized in the following steps: `;l.MZL!  
7R!5,Js+  
5. Can be broadly classified into the following areas: ={>Lrig:l  
6. Can be characterized by its function of effectively processing the e [_m< e  
7. Can allow further breadth of application of ...into more zOgTQs"ZH  
8. The following steps should be followed Xce0~\_ A  
9. xx can be classified by a different ways. >9e(.6&2XZ  
10. Based on the xx, one may classify xx into the following: /zDi9W*~1  
11. This catalog may change due to wear, breakage, and purchasing. %wcSM~w  
System R218(8S  
1. Unlike many conventional program, expert systems do not &`0/CV  
usually deal with problem for which there is clearly a right or wrong K*UgX(xu4P  
answer. X3'H `/  
2. The system consists of both ... and ... ,C%eBna4Iq  
3. The system has a hierarchical modular architecture organized on MUfG?r\t  
three levels. AKMm&(fh%  
4. expert system domains are area of expertise H"ZZ.^"5FV  
5. To develop a xx system for xx, the following factors must be #Zrlp.M4  
considered: P) 3mX.(}  
6. The system has been developed / designed to determine [q !T Iq  
7. The system has proven to be able to u# }[ZoI  
8. The domain in which an expert system operates is a particular !uQPc   
domain UG=K|O XWJ  
9. The system comprises a ... with .tD*2  
10. The system is [feature-oriented ] / based on the ... technique -B86U6^s  
11. The system environment must be relatively stable xhcK~5C  
12. The system is utilized to generate, load, store, update and r@ZJ{4\Q  
retrieve ... Yw#2uh  
13. The development of a xx system has two stages: xx stage and xx BcI |:qv|  
stage. ai0XL}!+  
14. The most essential part of .. system is the ... 8#vc(04(  
15. The successful developments in ESs have made them an _a1x\,R|DB  
important tool in the development of D 9M:^  
16. An automated system was developed for Yk=PS[f  
17. In this case, the system can be considered to be generative. !"Oh3 6  
R?]02Q  
18. An interactive automatic ... system =ZqT3_  
19. A …. is commonly thought of as a truly integrated .. system rS;Dmm  
20. Should be capable of being generated from a ... system EY tQw(!Q  
21. xx is an important part of the integrated system. X 7rMeu  
22. The model consists of four rule bases, each of which addresses a irfp!(r  
separate problem in the hierarchy of scheduling decision. >3Eo@J,?d  
23. The rule bases are linked to each other in a chin-like manner in ?"g!  
the sense that the consequent of one rule base constitutes a part of 13>0OKg`#  
the antecedent of the next rule base. M]J ^N#  
24. The rule base consists of all possible combinations of the sIy^m}02  
linguistic terms associated with the linguistic variable of the `E>1>'  
antecedent of a rule. >G%o,9i  
Computer System .nVa[B |.  
1. The system has been implemented using Prolog language in an T \_ ]^]>  
MS-DOS environment. Prolog was chosen because it offers a well U[ 0=L`0e  
known and flexible environment in which fuzzy reasoning may be ~ Yy>zUH^X  
easily implemented. xsD($_  
2. The current version of the xx program when compiled with qHrc9fB  
WATFOR77 results in an executable code of about 270K bytes. Kkm>e{0)AY  
Typical run time, when run on a XX computer (an IBM compatible V)[@98T_4?  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min s*-n^o-  
to 2h, depending on the size (or complexity) of the problem. uc){+'[  
3. Time consuming procedures have been implemented in ~ Q.7VDz  
C-language and directly linked to the Prolog environment. SMpH._VFeE  
4. The xx process, once the xx's data has been entered, requires zdYy^8V|z  
approximately 180 seconds. Q$zO 83  
5. It should be noted that the computation was done with a 20 Hhz, '/^qJ7eb  
80386..209;based microcomputer equipped with a 80387 math s T}. v*  
co-processor. WE:24b6  
6. The computer programs used for the analyses, one based on the xx +JjW_Rl?=V  
method and the other based on the new method, were written in 0Ziw_S\d&s  
FORTRAN with a compiler that supports the math co-processor. i OW#>66d  
7. Lisp, Prolog give maximum flexibility but also maximizes )b)-ZS7  
_({hc+9p  
development time. Y 0d<~*  
l Internal representation is the way a model is represented in the J  IUx  
computer. `p2+&&]S  
l An interactive menu-driven procedure is used in this study H4:`6 PSL  
l Shell can be develop very fast at the cost of time fairly severe /_I]H  
limitations. 9]f!'d!5  
l While there is no measurable saving of time for the case involving $w2u3 -  
five criteria, the saving is dramatic for the case involving 10 criteria }dgfqq  
-- the computation time reduces from 10 hr 40 min to about 1 min. =P't(<  
l This combination is being implemented in an objected-oriented ^c-  
programming environment (Smalltalk-80 system) to solve problems ,,%i;  
encountered in construction xxx. (^T F%(H  
Method / Approach / Study / Process Model / Equation /Algorithm / WrQDX3  
Rule / Formula / Technique 9g'LkP  
l A discussion is presented of a problem-solving system ;oW6 NJ  
l To improve the efficiency of the method, the following approach hYPl&^  
may be applied. dJJP3} M/  
l In order to an investigation was made to find the causes of the Ql/cN%^j$  
l Although large collections of rules and equations have been Mm.<r-b  
complied, none are generally accepted )h"<\%LU  
l This approach will be explained and discussed thoroughly in the ^1iSn)&  
body of the report. Qu?R8+"KS  
l This can be accomplished by G&D7a/G\  
l This algorithm to compute the total cost can be described step by 4>F'oqFF  
step as follows: gd%NkxmW  
l The above preliminary analysis has provided important *X'Y$x>f  
information *"?l]d  
l Various methods have been proposed for selecting an optimum... ALrw\qV  
l These concepts have been applied to Xe6w|  
l On the basis of the concept mentioned above, wvO|UP H\  
l This can be achieved by }Lc-7[/  
l This fact suggests that a new concept G`SUxhCk  
l This was accomplished by taking ... ^o^H3m  
diJLZikk  
l The preparatory stage is very time consuming process. Y2a5bc P  
l Test are performed for validity, completeness, and compatibility HG^ B#yX  
l There is little hope of achieving successful ... $7O}S.x  
l There has been an increasing awareness of the potential of using F_w Z"e6  
most ..so far made have not taken this approach, with the exception ?I6fye7  
of f,h J~  
l Only a few studies can be found. ]RPs|R?  
l It is a very tedious process to go through Bp_$.!Qy  
l It is only when .. has been completed that .. may be effected XC4X-j3  
l The entire interpretation process is conducted in one's head. u[@l~gwL  
l These approaches are sometimes very tedious. Huy5-[)15  
l Several techniques can be used pXrFljoYl[  
l A polynomial parametric model can be written as [the ,F79xx9ufg  
following]/[follows]: wT;0w3.Z  
l A xx model is constructed/formulated using xx. uD\?(LM  
l A xx model represents an xx by its xx. [b 6R%  
l A process decision model captures the logic essential to pOGeru u?  
l From the equation above, xx is equal to the summation of xx o C<.=2]  
times the ... n"c)m%yZ  
l The validity of a xx model can be checked using Euler's formula. d;zai]]  
l Given a model, one can mathematically determine whether ... or ... SQ44  
l Equations for xx need to be derived and implemented in the p2ogn}`  
system. P^ A!.}d  
l A number of heuristic rules have been developed for C>-aIz!y  
l Optimum .. techniques can be made more reliable by ... so that c9HrMgW  
l An algorithm based on the characteristic ... is used to determine a6D &/8  
l Euler's formula states the following: MLoYnR^  
l The completed model should agree with the formula. q"%_tS  
l For manufacturing purposes, a detailed and precise model of the b<a4'M  
object is necessary y`\@N"Cf  
l Engineering design models are very well defined; therefore, z>XrU>}  
l To keep the domain narrow enough to be implementable, yet wide Q3 u8bx|E  
enough to NL!u<6y  
be useful. )[PtaPWeT  
>hPQRd  
Point of View |bq$xp  
l from an implementation standpoint, le1}0 L  
l From the point of view of this application, kddZZA3`  
l From this point of view, Zadeh suggested an inference rule named Ka[t75~;  
xxx (CRI for short). ]QpWih00V  
l Information is the meaningful interpretation and correlation of Yn@lr6s  
some aggregation of data in order to allow one to make decisions. b6Wq r/  
l From a practical point of view, the computational aspects of an Jl5c [F  
FLC require a simplification of the fuzzy control algorithm. /LvRP yj@  
l The use of a hammer to insert screws, although partly effective, ;g@4 |Ro  
tends to distort, destroy, and generally defeat the purpose of using a e7m*r h%5>  
screw [Kusiak AI Implications for CIM p.129] P* w9 ,  
Justification XiL~TCkx4  
l We choose the so called xx in our experiment because it has :<hXH^n  
received wide acceptance and can !9[>L@#G  
l Prolog was chosen because it offers a well known and flexible g'H$R~ag  
environment in which fuzzy reasoning may be easily implemented. V8rx#H~  
l The rationale behind this is that it can be much easier for an }q $5ig  
estimator to rate a cost as high than to attempt to place a dollar 4Uphfzv3D  
value on the estimate. r[BVvX/,F  
l This strategy has been widely used in fuzzy control applications  swK-/$#  
since it is natural and easy to implement. (#Wu# F1;  
l A function definition expresses the membership function of a }|g\ 8jq  
fuzzy set in a functional form, typically a bell-shaped function, etc. E^.nc~  
Such functions are used in FLC because they lead themselves to `8AR_7i  
manipulation through the use of fuzzy arithmetic. K('hC)1  
l It should be noted that in our daily life most of the information on E%r k[wI  
which our decisions are based is linguistic rather than numerical in _a6[{_Pc  
nature. Seen in this perspective, fuzzy control rules provide a natural ` :o4'CG  
framework for the characterization of human behavior and decisions NWMFtT  
analysis. '}fzX2Q#  
l Many experts have found that fuzzy control rules provide a *=(lyx_O  
-Z 4e.ay5  
convenient way to express their domain knowledge. This explains 1][4.}?F[  
why most FLCs are based on the knowledge and experience which _#r+ !e  
are expressed in the language of fuzzy "if-the" rule. U<DZ:ds ?T  
Chapter 4. Examples {]%0lf:  
Example/ Data 0:9.;x9_  
l The data used in the following example was taken from an )N7Y^CN~  
experiment in which xx was measured between x and x using a xx hw= Ft4L  
technique. orWbU UC  
l The data consists of over xx measurements. 9f&C  
l An example of xx is discussed and the control rules of xx are C~o7X^[R\  
compared with a xx J l#%uU/sx  
l Examples of complex processes to which this technique may be Y8-86 *zC  
applied are xx, xx, etc. NT e5  
l The following example is constructed only for the purpose of u~WVGjoQ  
illustrating the computational procedure discussed. `$W_R[  
l This example clearly demonstrates that the profile of an individual Cjc6d4~   
xx, or a very small group of xx, with no enough data to be studied G!>z;5KuS  
statistically, can be meaningfully analyzed by fuzzy possibilistic kBD>-5Sn_T  
methods. ykV 5  
l There is no space here to go into detail on all these methods, but SqEgn}m$  
deserve a mention and the bibliography will point to detailed 2O.i\c H  
references for those wishing this level of detail. ms*(9l.hOK  
l Note that the golf ball spotting example is used throughout the DAcQz4T`  
paper. eU ".3`CtY  
Comparisons :6vm+5!  
l As well, the pros and cons of these representations from a process Yu)NO\3&  
planning point of view will be discussed. GO` Ru 8  
l The method of using xx to implement xx described by Zadeh El.hu%#n*G  
(1973) appeared more suitable lDYyqG4  
l As discussed [in the previous section]/[preciously], [RLN;(0n  
xv(9IEjt0  
Relation BK)$'AqO  
l We can not invert F' directly because it defines a many-to-one r:f[mk"-"A  
mapping. :.Jf0  
l The relationships appear very complicate 8ZM&(Lz7u  
l Lifting tasks involve complex and imprecise relationship between pA9+Cr!0Q  
the task variables and the human operator's characteristics. X*/ho  
l These methods are based on the relationship between ... and ... p "n$!ilbm  
l The fundamental concept of a fuzzy rating language is that we can >O*IQ[r-  
establish a relationship among terms such as high, medium, and low, bM{s T"  
and then modify these relationships. xTj|dza  
l This article will thus mention the latter as well as the former. $ M`hh{ -  
l The former two bear a close relation to a fuzzy Cartesian product. !W5 (  
Importance ok!L.ac  
l The emphasis is on an implementation of a general approach to _F>CBG  
rule based decision making. gp>3I!bo[K  
Consideration / Attention d:BG#\e]v  
l Careful evaluation is necessary to ensure wSa)*]%  
l Such a formulation does not change further considerations. 41`n1:-]  
l Considerable attention has been paid to h"X;3b^ m  
l Attention should be paid to an important finding of this llcb~  
investigation. |TS>h wkI  
l Caution should be exercised in this process to avoid ... w>pq+og&  
l Primary consideration is given to ... components, though others D{GfL ib"U  
can be accommodated &"yx<&c}  
l After ... has been defined by ..., a carefully analysis is carried T|nDTezr  
out/performed to determine "W6uV!  
l A number of factors such as ...need to be taken into consideration 't:; irLW.  
before making the appropriate decision. ojaws+(& y  
l It should be noted that ^q{9  
l It is important to point out that ... >0/i[k-dk  
l These considerations have heightened interest in the possibility of ) i;1*jK  
providing ... - Ajo9H  
VCV"S>aVf  
l We should stress the fundamental importance of the xx e>6y%v;  
Chapter 5. Results. wjH zE  
Advantages / Disadvantage I(i}c~ R  
l One of the major advantages of this new measure of xx is that it dq(uVW^&ae  
can be applied to the experimental study of ;&9)I8Us  
l One advantage of using a .. is the ease of preparing it. q ?|,O;?  
l The xx system is versatile m8A#~i .  
l It has a very fast decision making process C[ NS kr  
l All the algorithms involve mostly logical operations. z06r6  
l It can be easily and without additional cost implemented in a Oxm>c[R  
microprocessor-based environment. (up~[  
l It can reduce the waste of designing from scratch. A 9( x  
l The advantages of using a xx to represent xx are the following: V LOO8N[o  
l However, xx is not without its shortcomings. PC~Y8,A|.t  
l In most cases, the xxx shows an improvement over the existing 6/5YjO|a  
xxx. Vx$\hcG  
l Compared to the existing xx, the impacts of the xx are generally ;y,5k?  
reduced by 5% to 9%. PY{ G [  
l The "best case" results shows a savings of 6% to 9%. Q A< Rhv,  
l Most of the existing works based on xx approach can only IbT=8l,Li  
recognize a xx . I4'5P}1yp  
l Most of the above methods are computational expansive and 5&QJ7B,!  
limited to xx. &q3"g*q  
l Some other advantages of xx are the following: M||+qd W!  
l The problem is the limitation of this method to a limited domain of SON-Z"v  
parts. rA3$3GLQ-  
l It proved limited in application because it demanded precision in %P<hW+P!  
system modeling that was impossible in practice. b+%f+zz*h  
l There are advantages to be gained in the structuring of costs and Hkk/xNP  
benefits, the use of xx, w{I vmdto  
l The disadvantages of this method are also disadvantages of {o)Lc6T8s  
conventional xx approaches. H['N  
n&L+wqJ  
l This combines the best features of both techniques Dl<bnx;0  
l Hopefully, this tool can be as the reference framework of for &TnS4O  
developing a xx platform, and helping the administration, marketing, ./- 5R|fN  
and knowledge management activities in virtual communities. n D0K).=Q  
Results ,-$LmECg  
l An improvement on the result shown above can be made by based R] vV*  
on the data provided N,`$M.|?  
l Discussion of these theories is beyond the scope of this review #pT"BSz]  
l Based on the information contained in this } K7#Q  
l The result can be categorized into nine classes <5-[{Q/2z  
l The results are illustrated by an example -Y1e8H ='  
l The experimental results for each xx time are reported in Table 2. (lXGmx8  
l From the results obtained so far, it seem that spGb!Y`mR  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn ?L5zC+c!  
as b[sx_b  
l Although much effort has been made to., this reality is far from (jnzT=y  
completion. HeK/7IAqp  
l The results indicate that the total benefits are higher than the 7G:s2432  
total costs. |+"<wEKI  
l Their results may then serve as guidelines for lower level models, 5/q}`T9i%7  
less fuzzy and more detailed. OPetj.C/a  
Chapter 6. Conclusion O#n8=B4  
l From the discussion, one may conclude that ... [8.c8-lZ^  
l Form the above discussion, the conclusion can be reached that \6S7T$$ 1m  
l The conclusions drawn are also valid A|CmlAW~^  
l In conclusion to this, it becomes obvious that the problem of xx Kh"?%ZIa  
lies not only in... @* F"Q1 wI  
l We have attempted to introduce some concepts associated with a 9V'%<pk''(  
theory of @v$Y7mw3D  
xx based on fuzzy sets.  N O2XA\  
l Considerable more work, hopefully, will be done in this area z(o,m3@v  
l A fuzzy set procedure is proposed to solve xx selection problems -B>++r2A^  
B5gj_^  
interwoven with imprecise data pny11C  
l Employing the compositional rule of inference, the assessment of 062,L~&E  
the xx compatibility in achieving prescribed xx projectiles in any &d9{k5/+\  
level of the hierarchy is made possible. osciZ'~  
l This paper has presented a theoretical and experimental study of u=Fv 2  
the xx process and xx concept. <i<J^-W  
l The experimental research results will hopefully serve as useful 9 ^o-EC!_  
feedback information for improvements for xx work. pb^i^tA+A  
l The scope of this contribution was to introduce a xx method. +[Dj5~V  
l In general, fuzzy sets theory provides an alternative foundation h,QKd>4:CF  
for xx analysis in a fuzzy environment. +U:$(UV'A  
Future Research @)IjNplYkw  
l Thus, first extension of the approach could be, J%8(kWQ|  
l Present some cues for a further approach from Fuzzy Sets Theory /TE_W@?^  
application to r)qnl9?;`]  
l Some improvements to the scheduling aspect of the model may ,9?BcD1  
be brought through additional levels in the hierarchy for more -VZ-<\uH  
detailed representation of the scheduling activity. mCRt8 rY;  
Tables and Figures fz;iOjr>  
l Figure 7-1 sketches these relationships. Wi>!{.}%A  
l The graphical representation of these functions is shown in Figure U2$d%8G  
1. R5"K]~  
l The xx may be depicted as in Figure 1. ]d55m/(   
l Figure x shows the schematic diagram of the EQ2#/>  
l Figure 1 though 2 provide a ... that ckV`OaRw4  
l the architecture of this expert system for .... is illustrated in Figure z+ s6)Ad  
2. W egtyO  
l Figure 2 gives the outline of an ... system r$5i Wu  
l Table shows the mt 9 .x  
l as shown in Table 1 and 2 )S`jFQ1  
l This concept is illustrated in Figure 2 sLh==V;9  
l At the top of Table xx are shown two blocks of data. Z 1zVwHa_  
,PlO8;5]  
l Each table or matrix has constructs xx through xx as Hip&8NW  
row-headings, vQ<90Z xqB  
xx through xx as column-headings. R,)}>X|<  
l A table of .. is developed and significant recommendations are rJFc({ 0  
made. )q 0.0<f  
CONJUGATION CQwL|$)]Y  
To Indicate Addition FSUttg"  
l additionally, again, also, and then, as can be easily understood, ]"+95*B  
besides, equally important, especially, finally, for the same reason, ?!wgH9?8  
first, further, furthermore, in addition, last, likewise, moreover, next, v4?x.I  
second, third, too, evidently, obviously, roughly speaking, broadly /V=24\1Ky  
speaking > *@y8u*  
To Indicate Cause and Effect PpV'F[|,r  
l accordingly, as a result, consequently, for this reason, hence, in 9 Yx]=n  
short, otherwise, then, therefore, thus, truly u583_k%  
To indicate Comparison [(o7$i29|%  
l in a like manner, likewise, similarly , alternatively H(2!1?N+  
To Indicate Concession ,REJt  
l after all, although this may be true, at the same time, even though, / y A7%2  
even so , I admit, naturally, of course eFBeJZuE|  
To Indicate Contrast 'D6T8B4  
l and yet, at the same time, but, for all that, however, yet, in fact, in \I["2C]3M  
contrast, in the real life, in spite of, nevertheless, notwithstanding, ]BtbWKJBqe  
normally, on the contrary, on the other hand, still, traditionally, ONx( ]  
rather, unfortunately, 6&DX] [G  
To Indicate Time Relationships: N+LL@[  
after a short time, afterwards, as indicated earlier, as long as, as soon XQ%?  
MS>t_C(  
as, at last, at length, at the moment, at that time, at the same time, u)3 $~ m~  
before, earlier, currently, immediately, in the meantime, in recent !_+8A/  
years, lately, later, meanwhile, often, of late, presently, recently, IP``O!WP  
soon, shortly, since, thereupon, temporarily, therefore, until, when, uHH/rMV  
while ( Fynok  
To Indicate Special Features or Examples: . Q@S #d  
for example, for instance, incidentally, indeed, in fact, in other words, chV9_(8  
in particular, in practice, specifically, that is, to illustrate, in this t<T[h2Wd  
respect, theoretically, as mentioned before / above *+TH#EL2  
To Indicate Summary: %{(x3\ *&  
in brief, in conclusion, in short, in summary, on the whole, to /" ${$b{  
conclude ?."&MZ  
, in general, to summarize, to sum up, as a result, ultimately, D?C)BcN  
VERB PHASE d0aCY  
l build a .. model ,ldI2 ]  
l build up the key link >*-FV{ {  
l began a new era in ... Z4A!U~  
l can be regarded as / achieved / used to/for / found / obtained nSF``pp+  
through UA4J>1 i  
l can result in Y4cYZS47  
l carries out ... tasks 7_.11$E=H  
l production information in order to simultaneously 4Ue_Y 'LmM  
l contains all information necessary to describe :l2g#* c  
l do not make use of production information PzV@umC1#f  
l deals with +$$$  
l end with failure z-@=+4~  
l fetch the information from the model directly \k]x;S<a  
l has great potential / yet to be resolved / spurred the kloR#?8A  
development of / `%E8-]{uS  
been recognized as \S*$UE]uG  
l BE aimed at / built up / carried out by / essentially concerned dWX stb:[  
'8 fk+>M  
with / considered to be the key technology / associated with each /wxE1][.  
feature of a compo 4EXB;[ ]  
site component / cable of / currently implemented for / zW}[+el }  
demonstrated by an example / finally reached / made equal to / X*g(q0N<S  
equivalent to / more suitable to / oriented to / interpreted as / uk9g<<3T  
pointed out / potentially of great benefit in the complex task of / yJsH=5A  
shown in / used to effectively guide the search WEa2E?*  
l makes use of '`|A I:L  
l make up _TUk(Qe  
l meets the needs of real life production,/ the current demands E"%2)  
placed upon it hKNY+S})g  
l must be justified ewuXpv%vwW  
l point out yoRU_%xA  
l play an important role >t G+?Y'{  
l relates to 7l."b$U4yv  
l rely on ^ *&X~8@)  
l satisfy the needs w-b' LP  
l determine the total requirements for the ... G\/"}B:(  
l uses ... as a key to search for... D -IR!js ]  
l without relying on w?mEuXc  
l will be available/ performed/ overlooked >Z Ke  
NOUN PHASE zSv^<`X3  
l a basic technical function of BHj\G7,S  
l a critical need 2X88:  
l a key / principle feature of 'P laMOy  
l a substantial impact on 8BXqZVm.  
l an intensive review was conducted m"-[".-l-  
l an increasing need for expanding the application of .... | A:@ &|  
l an important component / function / aspect / issue 7S $&S;  
l each rule is numbered in sequence :XV} c(+d  
l each of these involves g): ]'  
l for this calculation, it is necessary to define -Dzsa  
l in the physical environment / integration of b!$}ma;B  
/.V0ag'G  
l in the reality of situations where … G Z }/leR  
l many aspects of *s)}Bj  
l most past efforts have been spent on ... o%y;(|4t >  
l common sense to a well studied and documented technical field. .~=HgOJ  
l sources of additional information on ... are listed 7\/5r.  
l systematic and rationally structured format ujgLJ77  
l the basis on which a range of ...operations can be established is }Ia 0"J4  
shown Y/U{Qc\ 6  
l THE basic philosophy / principles of / key element / general 6ri#Lw  
hypothesis / candidate list of / concept of ... has attracted wide )u @c3?$6  
interest / function is concerned with / heart / impact / nature / role u/AT-e r;  
/ task of / kernel functions IS]{}Y\3H  
l the number of parts needed to \gccQig1CJ  
l the above statement means that @qK<T  
l the output data is passed to qeaA&(|5  
l the proposed method / underlying principle FWPW/oC  
l the recommendations made in this report, if implemented, should oEzDMImJ5  
l this information resides in 9 Aivf+  
l this process is composed of ... different ... operation %!.M~5mCd  
l along with the use of s3lJu/Xe{  
l concerning general aspects of \~"#ld(x7  
l due to DBbc|I/[l  
l for later use in generating..., RR>G]#k  
l in turn, ++92:decM  
l IT IS believed / noted / assumed / suggested / shown / quite gM_:l  
evident / appears / implies that / intended for / of no important to o+)A'S  
l it can be claimed/concluded that 6 S*zzJ.0K  
l it demonstrates the decisions required of ]G1R0 Q  
l it also provides information to .. B 1w0cS%%:  
l it becomes essential to |Is'-g!  
l let ... be the probability that pv$tTWk  
l once... is written, it is compiled into... %F$N#YG  
l suppose it is observed that h=f6~5l5  
l this is because ec?1c&E  
ib50LCm  
l this results in a 8xo;E=`   
l upon completion of the ... analysis, {( HxG4~  
l when the knowledge is of mathematics or quantum physics, it will -c$z 2Q)  
also be [a D:A  
recorded in books and papers U(A4v0T  
l selection of rules for using the tools, for generating operation LV=^jsQ5  
plans, ,^+#M{Z  
is another matter of preference, since practice varies greatly. b3^R,6]x&  
l for the sake of convenience -y<x!61  
l correct decision to be reach fB[\("+  
l keeping the number of rules to a minimum. tBTJmih"  
l a good process plan will result exhibiting several characteristics: F(G<* lA  
l practical solutions Z]e4pR6!  
l because of rather small job lot sizes 45r|1<Ro  
l Backward reasoning can be used to answer the question "should \vs%U}IrO  
milling tool be select" different level of knowledge in the realm of t!l/`e%J  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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