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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 *xXa4HB  
:; \>jxA  
{`BC$V  
Beginning D`PnY&ffT  
1. In this paper, we focus on the need for :\x53-&hO4  
2. This paper proceeds as follow. Ath^UKO"  
3. The structure of the paper is as follows. 4A.Z MH  
4. In this paper, we shall first briefly introduce fuzzy sets and related C"_f3[Z  
concepts X64OX9:YF  
5. To begin with we will provide a brief background on the X*VHi  
Introduction Y15KaoK?  
1. This will be followed by a description of the fuzzy nature of the M@fUZh  
problem and a detailed presentation of how the required ?I&ha-."  
membership functions are defined. .j:[R.  
2. Details on xx and xx are discussed in later sections. SC)4u l%  
3. In the next section, after a statement of the basic problem, various -Czq[n=0(  
situations involving possibility knowledge are investigated: first, an J Sz'oA5  
entirely possibility model is proposed; then the cases of a fuzzy Ps5UX6\ .m  
service time with stochastic arrivals and non-fuzzy service rule is h[72iVn  
studied; lastly, fuzzy service rule are considered. W@v@|D@  
Review WJCEiH  
1. This review is followed by an introduction. u hvm h  
2. A brief summary of some of the relevant concepts in xxx and xxx is eYBo*  
presented in Section 2. a(&!{Y1bt  
3. In the next section, a brief review of the .... is given. @=q,,t$r  
4. In the next section, a short review of ... is given with special regard b}4k-hZL  
to ... 2G Q q(_  
5. Section 2 reviews relevant research related to xx. B4 5B`Ay  
6. Section 1.1 briefly surveys the motivation for a methodology of Va,M9)F  
action, while 1.2 looks at the difficulties posed by the complexity of B8-v!4b0`  
systems and outlines the need for development of possibility N8|=K_;&  
methods. CLU!/J $!  
Body c0jdZ#H  
1. Section 1 defines the notion of robustness, and argues for its peqoLeJI  
{?m;DY v  
importance. k.? aq  
2. Section 1 devoted to the basic aspects of the FLC decision-making 5\1Z"?  
logic. *m:h0[[J  
3. Section 2 gives the background of the problem which includes xxx <y1V2Np  
4. Section 2 discusses some problems with and approaches to, vf(8*}'!Q  
natural language understanding. S@]7   
5. Section 2 explains how flexibility which often ... can be expressed bHE'R!*  
in terms of fuzzy time-window $+P9@Q$  
6. Section 3 discusses the aspects of fuzzy set theory that are used in Zy^mSI4i  
the ... 2Cn^<(F^4I  
7. Section 3 describes the system itself in a general way, including [tDUR  
the ….. and also discusses how to evaluate system performance.  b<v\  
8. Section 3 describes a new measure of xx. Ao)hb4ex  
9. Section 3 demonstrates the use of fuzzy possibility theory in the FrD.{(/~  
analysis of xx. ']^e,9=Q  
10. Section 3 is a fine description of fuzzy formulation of human jq(3y|6,  
decision. 7 y}b (q=  
11. Section 3 is developed to the modeling and processing of fuzzy -a(f-  
decision rules _l]`Og@Y  
12. The main idea of the FLC is described in Section 3 while Section 4 F4X/ )$Dk  
describes the xx strategies. l!e8=QlJ  
13. Section 3 and 4 show experimental studies for verifying the |sz`w^#  
proposed model. *0M#{HQ  
14. Section 4 discusses a previous fuzzy set-based approach to cost *9e T#dH  
variance investigation. hH:7  
15. Section 4 gives a specific example of xxx. vc o/h  
16. Section 4 is the experimental study to make a fuzzy model of  SzkF-yRd  
memory process. lM Gz"cym  
17. Section 4 contains a discussion of the implication of the results of o+{}O_r  
Section 2 and 3. -H~g+i*J  
18. Section 4 applies this fuzzy measure to the analysis of xx and _H^Ij  
illustrate its use on experimental data. ;>[).fX>/  
19. Section 5 presents the primary results of the paper: a fuzzy set =Xzqp,  
model .. YXXUYi~!f  
9x.vz  
20. Section 5 contains some conclusions plus some ideas for further wqBGJ   
work. =:`1!W0I  
21. Section 6 illustrates the model with an example. 3 2Q/4   
22. Various ways of justification and the reasons for their choice are 6,M>'s,N  
discussed very briefly in Section 2. 7|PpAvMF  
23. In Section 2 are presented the block diagram expression of a b_ Sh #d&  
whole model udB:ys  
of human DM system *{tn/ro6a  
24. In Section 2 we shall list a collection of basic assumptions which DCX 4!,ZF  
a ... scheme must satisfy. >=^g%K$L6J  
25. In Section 2 of this paper, we present representation and #O]F5JB  
uniqueness theorems for the fundamental measurement of fuzziness VA4vAF  
when the domain of discourse is order-dense. ,0 [8/)$M  
26. In Section 3, we describe the preliminary results of an empirical is{I5IR\/  
study +xRja(d6  
currently in progress to verify the measurement model and to liFNJd`|o+  
construct membership functions. Nt67Ye3;  
27. In Section 5 is analyzed the inference process through the two 4nkH0dJQ  
kinds of inference experiments... {. SN  
This Section Svn|vH  
1. In this section, the characteristics and environment under which a}#[mw@m=  
MRP is designed are described. 'mpY2|]\$  
2. We will provide in this section basic terminologies and notations s`Z(f:/6*  
which are necessary for the understanding of subsequent results. S4s\tA<  
Next Section td q;D  
2. The next section describes the mathematics that goes into the TWl':}  
computer implementation of such fuzzy logic statements. X1 :|    
3. However, it is cumbersome for this purpose and in practical Rg<y8~|'}  
applications the formulae were rearranged and simplified as G hLgV  
discussed in the next section. ;z#D%#Ztq  
4. The three components will be described in the next two section, j9%u&  
and an example of xx analysis of a computer information system will \%&QIe;:k  
W2tIt&{  
then illustrate their use. f!P.=Qo[=  
5. We can interpret the results of Experiments I and II as in the Cv{rd##Y8  
following sections. %&Z!-k(  
6. The next section summarizes the method in a from that is useful J\_tigd   
for arguments based on xx vb9G_Pfz  
Summary _zJY1cr  
1. This paper concludes with a discussion of future research -#3B>VY  
consideration in section 5. vBj{bnl  
2. Section 5 summarizes the results of this investigation. KLsTgo|J  
3. Section 5 gives the conclusions and future directions of research. $&n!j'C:  
4. Section 7 provides a summary and a discussion of some extensions :b^tu 8E  
of the paper. wi:]oo#  
5. Finally, conclusions and future work are summarized ;. !AX|v  
6. The basic questions posed above are then discussed and ;*wZgl  
conclusions are drawn. DB:Ia5|*i  
7. Section 7 is the conclusion of the paper. .2!'6;K  
Chapter 0. Abstract cc.z C3Hs3  
1. A basic problem in the design of xx is presented by the choice of a vhT te |(  
xx rate for the measurement of experimental variables. cQu1WgQ G  
2. This paper examines a new measure of xx in xx based on fuzzy n:`> QY  
mathematics which overcomes the difficulties found in other xx :v Pzw!  
measures. `t {aN|3V[  
3. This paper describes a system for the analysis of the xx. @4T+0&OI10  
4. The method involves the construction of xx from fuzzy relations. MJ8z"SKnV  
5. The procedure is useful in analyzing how groups reach a decision. &0K H00l  
6. The technique used is to employ a newly developed and versatile j?g{*M  
xx algorithm. JDD(e_dw  
7. The usefulness of xx is also considered. opjrU$<]N  
8. A brief methodology used in xx is discussed. "npj%O<bd  
9. The analysis is useful in xx and xx problem. ] 5YG*sD4  
10. A model is developed for a xx analysis using fuzzy matrices. 3vHEPm]  
11. Algorithms to combine these estimates and produce a xx are $a(wM1S4  
-_%n\#  
presented and justified. U"aFi  
12. The use of the method is discussed and an example is given. d; oaG (e  
13. Results of an experimental applications of this xx analysis F[l{pc "C  
procedure are given to illustrate the proposed technique. 0KHA5dt  
14. This paper analyses problems in &f|LjpMCf  
15. This paper outlines the functions carried out by ... v5;c} n  
16. This paper includes an illustration of the ... c9=;:E  
17. This paper provides an overview and information useful for e#0R9+"Ba  
approaching UCa(3p^V_  
18. Emphasis is placed on the construction of a criterion function by n* 9)Y~  
which the xx in achieving a hierarchical system of objectives are ]Yp;8#:1  
evaluated. }RO Cj,|  
19. The main emphasis is placed on the problem of xx ,~hvFTJI  
20. Our proposed model is verified through experimental study. p4fU/  
21. The experimental results reveal interesting examples of fuzzy H .JA)*b-  
phases of: xx, xx }{n[_:[7  
22. The compatibility of a project in terms of cost, and xx are likewise ,l_"%xYx  
represented by linguistic variables. @v2_gjRe  
23. A didactic example is included to illustrate the computational lOCMKaCD  
procedure AcwLs%'sx  
Chapter 1. Introduction dli?/U@hO  
Time ,?3r-bM  
1. Over the course of the past 30 years, .. has emerged form intuitive mcP]k8?C  
2. Technological revolutions have recently hit the industrial world ,_!pUa l  
3. The advent of ... systems for has had a significant impact on the T[`o$j6  
4. The development of ... is explored S4n\<+dR<  
5. During the past decade, the theory of fuzzy sets has developed in a 2TXrVaM  
variety of directions +4Aj/$%[q  
6.The concept of xx was investigated quite intensively in recent years *Ew`Fm H  
7. There has been a turning point in ... methodology in accordance bg'Qq|<U  
with the advent of ... 8doKB<#_+=  
8. A major concern in ... today is to continue to improve... ^":UkPFCx:  
9. A xx is a latecomer in the part representation arena. p9 <XaJ}   
bJ4})P&  
10. At the time of this writing, there is still no standard way of xx 7?9QlUO  
11. Although a lot of effort is being spent on improving these vO`~rUA  
weaknesses, the efficient and effective method has yet to be ><V<}&:y$(  
developed. n`8BE9h^  
12. The pioneer work can be traced to xx [1965]. { 0RwjPYp  
13. To date, none of the methods developed is perfect and all are far 4W5[1GE.  
from ready to be used in commercial systems. pX 8TzmIB0  
Objective / Goal / Purpose HL]8E}e\"  
1. The purpose of the inference engine can be outlined as follows: j # G4A%_  
2. The ultimate goal of the xx system is to allow the non-experts to 8s16yuM  
utilize the existing knowledge in the area of manual handling of loads, ~_6~Fi  
and to provide intelligent, computer-aided instruction for xxx. />Kd w  
3. The paper concerns the development of a xx \5M1;  
4. The scope of this research lies in # 2;6!_  
5. The main theme of the paper is the application of rule-based U2<8U  
decision making. UR?biq  
6. These objectives are to be met with such thoroughness and L|ZxB7xk  
confidence as to permit ... bca4'`3\|  
7. The objectives of the ... operations study are as follows: e0;0X7  
8. The primary purpose/consideration/objective of ~+|Vzm|S}  
9. The ultimate goal of this concept is to provide \GYrP f$  
10. The main objective of such a ... system is to #0$fZ  
11. The aim of this paper is to provide methods to construct such hhWIwR  
probability distribution. g?B4b7II  
12. In order to achieve these objectives, an xx must meet the yUnNf 2i  
following requirements: _Ns/#Xe/  
13. In order to take advantage of their similarity M5 \flE2  
14. more research is still required before final goal of ... can be ! =Scpo_  
completed wtM1gYl^  
15. In this trial, the objective is to generate... (;VlK#rnC  
16. for the sake of concentrating on ... research issues Br4[hUV/  
17. A major goal of this report is to extend the utilization of a recently f[}(E  
developed procedure for the xx. D wmK?5p  
(yrN-M4~t  
18. For an illustrative purpose, four well-known OR problems are boS=  
studied in presence of fuzzy data: xx. H46N!{<;@  
19. A major thrust of the paper is to discuss approaches and Ef @  
strategies for structuring ..methods 0:I[;Q t  
20. This illustration points out the need to specify %>'Zy6C<j  
21. The ultimate goal is both descriptive and prescriptive. `6y=ky.,  
22. Chapter 2. Literature Review =xw+cs1,x  
23. A wealth of information is to be found in the statistics literature, >piVi[`  
for example, regarding xx CS'LW;#[  
24. A considerable amount of research has been done .. during the Gr-~&pm  
last decade 5'\detV_  
25. A great number of studies report on the treatment of w**~k]In  
uncertainties associated with xx. ) >te|@}o  
26. There is considerable amount of literature on planning R1$s1@3I|  
27. However, these studies do not provide much attention to UpaF>,kM  
uncertainty in xx. .af+h<RG4$  
28. Since then, the subject has been extensively explored and it is %rlMjF'tG  
still under investigation as well in methodological aspects as in hCBre5  
concrete applications. iC{(vL0P+  
29. Many research studies have been carried out on this topic. 3{)!T;Wd  
30. Problem of xx draws recently more and more attention of system A(_HM qA]  
analysis. {p.^E5&  
31. Attempts to resolve this dilemma have resulted in the 4#qZ`H,Ur)  
development of 5^D094J|^  
32. Many complex processes unfortunately, do not yield to this QLH!>9Ch  
design procedure and have, therefore, not yet been automated. en>n\;U  
33. Most of the methods developed so far are deterministic and /or ~R&rQJJeJ  
probabilistic in nature. U&i#cF   
34. The central issue in all these studies is to Lk)I;;  
35. The problem of xx has been studied by other investigators, )T6:@n^]h  
however, these studies have been based upon classical statistical z3Yi$*q <  
approaches. 9wlp AK  
36. Applied ... techniques to 15 @2h  
37. Characterized the ... system as yAAV,?:o[  
uI$n7\G!  
38. Developed an algorithm to 4> uN H5  
39. Developed a system called ... which c2t`i  
40. Uses an iterative algorithm to deduce lz!(OO,g  
41. Emphasized the need to g$ HL::  
42. Identifies six key issues surrounding high technology ul3~!9F5F  
43. A comprehensive study of the... has been undertaken ~/X8Hy!-  
44. Much work has been reported recently in these filed 0cSm^a  
45. Proposed/Presented/State that/Described/Illustrated/ Zb=;\l*&  
Indicated/Has shown / showed/Address/Highlights _CPj] m{  
46. Point out that the problem of oP`:NCj\9  
47. A study on ...was done / developed by [] Mq#m;v$E  
48. Previous work, such as [] and [], deal only with `* cqT  
49. The approach taken by [] is FShUw+y  
50. The system developed by [] consists Td,d9M  
51. A paper relevant to this research was published by [] "b402"&  
52. []'s model requires consideration of... ?%`Ph ?BZl  
53. []' model draws attention to evolution in human development GMg! 2CIU  
54. []'s model focuses on... TE;f*!  
55. Little research has been conducted in applying ... to L @z[b^  
56. The published information that is relevant to this research... g4=C]\1  
57. This study further shows that Ux1j+}y  
58. Their work is based on the principle of [0qswsV  
59. More history of ... can be found in xx et al. [1979]. t #Kucde  
60. Studies have been completed to established V,=5}qozQ  
61. The ...studies indicated that VQ,5&-9Y3  
62. Though application of xx in the filed of xx has proliferated in tH&e KM4G  
recent years, effort in analyzing xx, especially xx, is lacking. K\KQ(N8F  
Problem / Issue / Question k-a1^K3  
63. Unfortunately, real-world engineering problems such as oexTz[  
manufacturing planning do not fit well with this narrowly defined 45n.%*,  
model. They tend to span broad activities and require consideration :!l.ze{F  
of multiple aspects. vs$h&o>|  
64. Remedy / solve / alleviate these problems h^_^)P+;  
67. ... is a difficult problem, yet to be adequately resolved Iila|,cM  
pY-!NoES  
68. Two major problems have yet to be addressed [T4{K &  
69. An unanswered question xv Xci W  
70. This problem in essence involves using x to obtain a solution. b:'8_jL  
71. An additional research issue to be tackled is .... ftcLP  
72. Some important issues in developing a ... system are discussed 5x|$q kI  
73. The three prime issues can be summarized: "9d Z z/{  
74. The situation leads to the problem of how to determine the ... `),U+  
75. There have been many attempts to *z6A ~U  
76. It is expected to be serious barrier to ={v(me0ZPb  
77. It offers a simple solution in a limited domain for a complex :R +BC2x  
problem. -(e=S^36  
1. There are several ways to get around this problem. <$hv{a  
2. As difficult as it seems to be, xx is by no means new. @YRy)+  
3. The problem is to recognize xx from a design representation. /2E Q:P  
4. A xx problem can trace its roots to xx. 5#x[rr{^*  
5. xx [1987] used a heuristic approach to simplify the complexity of 1u5^a^O(|  
the problem. TD *AFR3Oz  
6. Several problems are associated with them. mX hC-8P  
7. Although some progress has been made in this area, at least two p<h(  
major obstacles must be overcome before a fully automated system "M+I$*]  
can be realized. )(yaX  
8. Most problems in practice are complicated tS\Db'C7  
9. More problem surface here. Im-qGB0C  
10. Hamper effort toward a xx system THX% z `  
11. In order to overcome the limitations due to incomplete and -DJ ,<f*$  
imprecise xx knowledge, a xx program has been developed, which As5l36  
bases its knowledge upon the statistical analysis of a sample 6< -Cpc  
population of xx +A1*e+/b\  
12. The above difficulties are real challenges faced by researchers W5Jy"]^I  
attempting to develop ZybfqBTD&c  
13. This type of mapping raises no controversy to the issue of |7n%8JsY!"  
membership function determination. uVhzJu.  
14. However, attempts to quantify the xx have met both theoretical e2G;_:  
and empirical problems. FIAmAZH}_  
G(shZ=fq  
15. It has become apparent that in order to apply this new (RrC<5"  
methodological framework to real-world problems and data, we have 5]CaWFSmT  
to pay attention to the problems of xx and xx. ?G7*^y&Q  
Chapter 3. Proposed methodology c;(Fz^&_  
Assumption M&q~e@P  
1. In the case when the assumption of a xx seems to be too 90Sras>F  
restrictive or inadequate, the formulation with Fuzzy termination [e _csQ  
time, i.e. given by a fuzzy set in the space of control stages, may be J(~1mIJjC  
applied. 65U\;Ew  
2. We assume here the fuzzy constraints to be state-dependent, and 2*cc26o  
the fuzzy goal to be the same for all the control states, xx, which s:_j,/H0A}  
stems from the problem's nature. =+?OsH v  
3. An approach to the solution of this problem is presented under the W?!rqo2SP  
assumption that the sampling rate Decision can be made prior to the 3m4 sh~  
execution of the experiment, as opposed to being made while the bUM4^m  
experiment is in progress.  @e\ @EW  
4. Another assumption made above is that there are precise odds at [h&s<<# D  
which the expert is indifferent. i| ,}y`C#  
5. Main simplifying assumptions are: Tj!\SbnA[  
6. This, in our view, is a questionable assumption. N7}3?wS  
Outline / Structure / Module PBEi"`i  
1. An outline of the research )a'`  
2. Information is incorporated within the scheme #cW :04  
3. Is built into ... structure ]mNsG0r6  
4. A nice modular structure. eLgq )  
5. The principles of ... are applied as modularized criteria gcO$T`  
Classification Ku uiU= (L  
1. A xx system comprises three main components: p15dbr1  
2. Must decompose the original .. into a set of .. 3,*A VcQA  
3. Consists of the following steps: h#)\K| qs  
4. This is summarized in the following steps: M0)0~#?.D  
r~oUln<[  
5. Can be broadly classified into the following areas: ![vy{U.:`  
6. Can be characterized by its function of effectively processing the W >}T$a}\  
7. Can allow further breadth of application of ...into more ~ oq.yn/1  
8. The following steps should be followed hPGDN\#LD  
9. xx can be classified by a different ways. <HS{A$]  
10. Based on the xx, one may classify xx into the following: U#w0E G  
11. This catalog may change due to wear, breakage, and purchasing. 0jxXUWO  
System u WdKG({][  
1. Unlike many conventional program, expert systems do not kJNg>SN*@#  
usually deal with problem for which there is clearly a right or wrong tux`-F  
answer. 8ql<7RTM!  
2. The system consists of both ... and ... 2\|sXC  
3. The system has a hierarchical modular architecture organized on yzL9Ic  
three levels. M _cm,|FF  
4. expert system domains are area of expertise Ik A~+6UY  
5. To develop a xx system for xx, the following factors must be 8NE[L#k  
considered: |D VFi2   
6. The system has been developed / designed to determine K)Z~ iBRM  
7. The system has proven to be able to 9oP  
8. The domain in which an expert system operates is a particular X2,v'`U5&  
domain VJC j=jX  
9. The system comprises a ... with 6e5A8e8"]  
10. The system is [feature-oriented ] / based on the ... technique =1)9>=}  
11. The system environment must be relatively stable }"%mP 4]&  
12. The system is utilized to generate, load, store, update and ~% `hh9]  
retrieve ... w6lx&K-  
13. The development of a xx system has two stages: xx stage and xx vJ 28A  
stage. W4(  
14. The most essential part of .. system is the ... -sDl[  
15. The successful developments in ESs have made them an Zm6jF  
important tool in the development of 43,*.1;sz  
16. An automated system was developed for +J A\by  
17. In this case, the system can be considered to be generative. 30sA\TZ  
qzZ;{>_f  
18. An interactive automatic ... system :qShP3^  
19. A …. is commonly thought of as a truly integrated .. system  N PqO b  
20. Should be capable of being generated from a ... system i`}9VaUG  
21. xx is an important part of the integrated system. *`Ge8?qC  
22. The model consists of four rule bases, each of which addresses a NNJQDkO-I  
separate problem in the hierarchy of scheduling decision. C9FAX$$^(Y  
23. The rule bases are linked to each other in a chin-like manner in &&"+\^3  
the sense that the consequent of one rule base constitutes a part of .~^A!t  
the antecedent of the next rule base. ~~p )_  
24. The rule base consists of all possible combinations of the 4Y G\<Zf  
linguistic terms associated with the linguistic variable of the 9Nz}'a;?>  
antecedent of a rule. *W 04$N  
Computer System .H&XP W  
1. The system has been implemented using Prolog language in an !9V; 8g  
MS-DOS environment. Prolog was chosen because it offers a well AmCymT3P*e  
known and flexible environment in which fuzzy reasoning may be Dj0D.}`~  
easily implemented. i"4;{C{s  
2. The current version of the xx program when compiled with /}eb1o  
WATFOR77 results in an executable code of about 270K bytes. 8ddBQfCY  
Typical run time, when run on a XX computer (an IBM compatible "412w^5[T  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min WK{F  
to 2h, depending on the size (or complexity) of the problem. ?+{_x^  
3. Time consuming procedures have been implemented in S]&aDg1y}  
C-language and directly linked to the Prolog environment. /(%!txSNEt  
4. The xx process, once the xx's data has been entered, requires 7WNUHLEt  
approximately 180 seconds. @v\8+0  
5. It should be noted that the computation was done with a 20 Hhz, I%z,s{9p  
80386..209;based microcomputer equipped with a 80387 math D|vck1C5,  
co-processor. 4i"fHVp8  
6. The computer programs used for the analyses, one based on the xx C+Wa(K  
method and the other based on the new method, were written in idjk uB(6  
FORTRAN with a compiler that supports the math co-processor. {~'Iu8TvZ  
7. Lisp, Prolog give maximum flexibility but also maximizes 1V,DcolRY  
v*OT[l7  
development time. bq}`jP~#  
l Internal representation is the way a model is represented in the mWMtz]M}  
computer. +h1X-K:I  
l An interactive menu-driven procedure is used in this study n<A<Xj08T9  
l Shell can be develop very fast at the cost of time fairly severe py%:,hi  
limitations. ` "#h hKG  
l While there is no measurable saving of time for the case involving IGA4"\s  
five criteria, the saving is dramatic for the case involving 10 criteria DX/oHkLD'  
-- the computation time reduces from 10 hr 40 min to about 1 min. zXId up@  
l This combination is being implemented in an objected-oriented jK{ qw  
programming environment (Smalltalk-80 system) to solve problems 4(`U]dNcs  
encountered in construction xxx. j=u) z7J  
Method / Approach / Study / Process Model / Equation /Algorithm / 2~yj =D27Z  
Rule / Formula / Technique CFu^i|7o  
l A discussion is presented of a problem-solving system }>b@=5O  
l To improve the efficiency of the method, the following approach }V 4u`=  
may be applied. Z4sS;k]}  
l In order to an investigation was made to find the causes of the okO\A^F  
l Although large collections of rules and equations have been 3sl6$NKo  
complied, none are generally accepted xiqeKoAD  
l This approach will be explained and discussed thoroughly in the D nd  
body of the report. D&OskM60  
l This can be accomplished by blkPsp)m"  
l This algorithm to compute the total cost can be described step by 3XDuo|(  
step as follows: '#j Z`  
l The above preliminary analysis has provided important Rt@O@oDI  
information I]WvcDJ}C  
l Various methods have been proposed for selecting an optimum... XI,=W  
l These concepts have been applied to ('o} E oXS  
l On the basis of the concept mentioned above,  %Nx,ZD@  
l This can be achieved by h\+8eeIl  
l This fact suggests that a new concept 3jHE,5m  
l This was accomplished by taking ... G?Za/G  
qI<c47d;q  
l The preparatory stage is very time consuming process. R^"mGe\LL  
l Test are performed for validity, completeness, and compatibility 4E+8kz'  
l There is little hope of achieving successful ... 8fK/0u^`d  
l There has been an increasing awareness of the potential of using Q /t_% vb  
most ..so far made have not taken this approach, with the exception [p]UM;+  
of C u1G8t-  
l Only a few studies can be found. =,X*40=  
l It is a very tedious process to go through D$E#:[  
l It is only when .. has been completed that .. may be effected "Jdi>{o8  
l The entire interpretation process is conducted in one's head. hBhbcWD,ka  
l These approaches are sometimes very tedious. $ 'yWg_(  
l Several techniques can be used ! >/J]/4>  
l A polynomial parametric model can be written as [the !/X>k{  
following]/[follows]: {Z178sik  
l A xx model is constructed/formulated using xx. U~dqxR"Q  
l A xx model represents an xx by its xx. ?yu@eo  
l A process decision model captures the logic essential to (0rcLNk{|  
l From the equation above, xx is equal to the summation of xx )}Cf6 m}  
times the ... :)h4SD8 Y  
l The validity of a xx model can be checked using Euler's formula. ac1(lD  
l Given a model, one can mathematically determine whether ... or ... G&4D0f  
l Equations for xx need to be derived and implemented in the VFm)!'=I  
system. {\|XuCF#  
l A number of heuristic rules have been developed for vFeR)Ox's  
l Optimum .. techniques can be made more reliable by ... so that *xpPD\{k  
l An algorithm based on the characteristic ... is used to determine U!YoZ?  
l Euler's formula states the following: v?n# C  
l The completed model should agree with the formula. p4kK" \ln  
l For manufacturing purposes, a detailed and precise model of the u#Bj#y!  
object is necessary CZ%KC$l.5  
l Engineering design models are very well defined; therefore, 4w]<1V  
l To keep the domain narrow enough to be implementable, yet wide ad=7FhnIa3  
enough to #Yy5@A}`o  
be useful. u=E &jL5U  
}r"E\~E  
Point of View !>&G+R+k  
l from an implementation standpoint, A{\DzUV9,  
l From the point of view of this application, _^!C4?2!  
l From this point of view, Zadeh suggested an inference rule named Ki%)LQAg  
xxx (CRI for short). ;6?,Yhk$h  
l Information is the meaningful interpretation and correlation of [FBc&HN  
some aggregation of data in order to allow one to make decisions. 7 Rc/<,X  
l From a practical point of view, the computational aspects of an uwt29  
FLC require a simplification of the fuzzy control algorithm. FRQkD%k  
l The use of a hammer to insert screws, although partly effective, Oo ^ AE  
tends to distort, destroy, and generally defeat the purpose of using a - 8jlh  
screw [Kusiak AI Implications for CIM p.129] /Wdrpv-%,1  
Justification J|cw9u  
l We choose the so called xx in our experiment because it has Upm#:i|"  
received wide acceptance and can PI8ag  
l Prolog was chosen because it offers a well known and flexible e"Z,!Q^-L  
environment in which fuzzy reasoning may be easily implemented. .R S  
l The rationale behind this is that it can be much easier for an DYe w6B-  
estimator to rate a cost as high than to attempt to place a dollar TBHd)BhI.  
value on the estimate. 'SIc2H  
l This strategy has been widely used in fuzzy control applications ;zWiPnX}  
since it is natural and easy to implement. [u-=<hnoa  
l A function definition expresses the membership function of a `2xt%kC  
fuzzy set in a functional form, typically a bell-shaped function, etc. ;]rj Kc=  
Such functions are used in FLC because they lead themselves to [ .3Gb}B  
manipulation through the use of fuzzy arithmetic. 9AD0|,g  
l It should be noted that in our daily life most of the information on C?\HB#41  
which our decisions are based is linguistic rather than numerical in g](&H$g  
nature. Seen in this perspective, fuzzy control rules provide a natural wOH 3[SKo  
framework for the characterization of human behavior and decisions V7+/|P_  
analysis. s2nZW pIy  
l Many experts have found that fuzzy control rules provide a YT@H^=  
)P.,h&h/  
convenient way to express their domain knowledge. This explains e JEcLK3u  
why most FLCs are based on the knowledge and experience which >waA\C}  
are expressed in the language of fuzzy "if-the" rule. -1R7 8(1  
Chapter 4. Examples O:dUzZR['  
Example/ Data zaE!=-U  
l The data used in the following example was taken from an a$LoQ<f_  
experiment in which xx was measured between x and x using a xx 5%DHF-W)  
technique.  GU xhn  
l The data consists of over xx measurements. E7] a#  
l An example of xx is discussed and the control rules of xx are >SD?MW 1E  
compared with a xx Xd&oERJj  
l Examples of complex processes to which this technique may be Ge76/T%{Q  
applied are xx, xx, etc. wee5Nirw6  
l The following example is constructed only for the purpose of ?;go5f+X  
illustrating the computational procedure discussed. sWgzHj(c  
l This example clearly demonstrates that the profile of an individual ay28%[Q b4  
xx, or a very small group of xx, with no enough data to be studied j!a&l  
statistically, can be meaningfully analyzed by fuzzy possibilistic QO|jdlg  
methods. a#3,qp!  
l There is no space here to go into detail on all these methods, but  VO*fC  
deserve a mention and the bibliography will point to detailed SLud}|f;o  
references for those wishing this level of detail. Ude)$PAe%  
l Note that the golf ball spotting example is used throughout the {d,^tG}  
paper.  /?6  
Comparisons T{ /\q 5  
l As well, the pros and cons of these representations from a process m] @o1J  
planning point of view will be discussed. FsfP^a  
l The method of using xx to implement xx described by Zadeh M,P :<-J  
(1973) appeared more suitable R"QWap}  
l As discussed [in the previous section]/[preciously], $`/F5R!  
4eS(dPI0  
Relation |C\XU5}  
l We can not invert F' directly because it defines a many-to-one }h\]0'S~J~  
mapping. @]%c UjQ  
l The relationships appear very complicate `Zz;[<*<  
l Lifting tasks involve complex and imprecise relationship between _ud !:q  
the task variables and the human operator's characteristics. IN!IjInaT@  
l These methods are based on the relationship between ... and ... b#_u.vP  
l The fundamental concept of a fuzzy rating language is that we can rcjj( C  
establish a relationship among terms such as high, medium, and low, 4i Z7BD  
and then modify these relationships. ldWr-  
l This article will thus mention the latter as well as the former. p87VJ}  
l The former two bear a close relation to a fuzzy Cartesian product. 'FGf#l<  
Importance |'12Kv]#Xa  
l The emphasis is on an implementation of a general approach to 0'^zIL#.  
rule based decision making. ILXVyU  
Consideration / Attention 1;y?!;FD  
l Careful evaluation is necessary to ensure ?rv5Z^D'  
l Such a formulation does not change further considerations. ~ny4Ay$#  
l Considerable attention has been paid to HVcd< :g0  
l Attention should be paid to an important finding of this ] _P!+5]<  
investigation. ,W~a%8*  
l Caution should be exercised in this process to avoid ... RU GhhK  
l Primary consideration is given to ... components, though others {!7 ^ w  
can be accommodated i^u5j\pfY*  
l After ... has been defined by ..., a carefully analysis is carried !3#*hL1fy  
out/performed to determine 6/eh~ME=  
l A number of factors such as ...need to be taken into consideration 3_+$x 4 %  
before making the appropriate decision. ` SO"F,  
l It should be noted that gdyP,zMD7  
l It is important to point out that ... O&u[^s/^  
l These considerations have heightened interest in the possibility of o  w<.Dh  
providing ... q!+m, !M  
U.HeIJ#  
l We should stress the fundamental importance of the xx +gQoYlso  
Chapter 5. Results. +c^[[ K"  
Advantages / Disadvantage #x;i R8^  
l One of the major advantages of this new measure of xx is that it ?1u2P$d  
can be applied to the experimental study of Z6I^HG{:  
l One advantage of using a .. is the ease of preparing it. wx|eO[14  
l The xx system is versatile Q (Dp116  
l It has a very fast decision making process N\OeWjA F  
l All the algorithms involve mostly logical operations. H%:~&_D  
l It can be easily and without additional cost implemented in a %2)'dtPD~  
microprocessor-based environment. *?Sp9PixP  
l It can reduce the waste of designing from scratch. y84= Q  
l The advantages of using a xx to represent xx are the following: ?lYi![.o  
l However, xx is not without its shortcomings. ]"< ` ^  
l In most cases, the xxx shows an improvement over the existing mw1|>*X&R  
xxx. wv8WqYV  
l Compared to the existing xx, the impacts of the xx are generally \)pT+QxZ  
reduced by 5% to 9%. v<z%\`y  
l The "best case" results shows a savings of 6% to 9%. 6R+m;'  
l Most of the existing works based on xx approach can only Jn_;  cN  
recognize a xx . k]=Yi;  
l Most of the above methods are computational expansive and ?6gC;B  
limited to xx. 9?M><bBX  
l Some other advantages of xx are the following: (@H'7,  
l The problem is the limitation of this method to a limited domain of pbe" w=<  
parts. h<50jnH!  
l It proved limited in application because it demanded precision in }l/ !thzC  
system modeling that was impossible in practice. -$#'  
l There are advantages to be gained in the structuring of costs and P7;=rSW  
benefits, the use of xx, _[8BAm  
l The disadvantages of this method are also disadvantages of !'()QtvC<  
conventional xx approaches. e{~s\G8g  
=8?gx$r2  
l This combines the best features of both techniques . FS`Fh;  
l Hopefully, this tool can be as the reference framework of for w6M EY"<L  
developing a xx platform, and helping the administration, marketing, *5bKJgwJ  
and knowledge management activities in virtual communities. !Qu)JR  
Results ^h z4IZ^  
l An improvement on the result shown above can be made by based er Cl@sq  
on the data provided 2G'Au}q0n  
l Discussion of these theories is beyond the scope of this review aO9a G*9T  
l Based on the information contained in this ` k}   
l The result can be categorized into nine classes !A(*?0`  
l The results are illustrated by an example D&f(h][hH?  
l The experimental results for each xx time are reported in Table 2. XY]|OZ7(  
l From the results obtained so far, it seem that "=0#pH1o  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn n%lY7.z8d  
as io_4d2uBh  
l Although much effort has been made to., this reality is far from /=9t$u|  
completion. je6H}eWTC6  
l The results indicate that the total benefits are higher than the :^+ aJ]  
total costs. Suixk'-  
l Their results may then serve as guidelines for lower level models, >y%*HC!G  
less fuzzy and more detailed. *xxG@h|5 n  
Chapter 6. Conclusion I4kN4*d!N,  
l From the discussion, one may conclude that ... (^-i[aJY  
l Form the above discussion, the conclusion can be reached that FWNO/)~t  
l The conclusions drawn are also valid <(rf+Ou>I  
l In conclusion to this, it becomes obvious that the problem of xx -,NiSh}A  
lies not only in... u 9Wi@sO#  
l We have attempted to introduce some concepts associated with a iV5x-G`  
theory of IKhpe5}  
xx based on fuzzy sets. RI_:~^nO{r  
l Considerable more work, hopefully, will be done in this area Ur`Ri?  
l A fuzzy set procedure is proposed to solve xx selection problems d5gYJ/Qv  
1{B^RR.  
interwoven with imprecise data 9s\;,!b  
l Employing the compositional rule of inference, the assessment of lYkm1  
the xx compatibility in achieving prescribed xx projectiles in any ?[>+'6  
level of the hierarchy is made possible. -=aI!7*"$  
l This paper has presented a theoretical and experimental study of RX.n7Tb  
the xx process and xx concept. UT w f!  
l The experimental research results will hopefully serve as useful V3O<l}ak  
feedback information for improvements for xx work. iJ HOLz"!  
l The scope of this contribution was to introduce a xx method. -g'[1  
l In general, fuzzy sets theory provides an alternative foundation B d$i%.r  
for xx analysis in a fuzzy environment. E"7 iU  
Future Research vy?Zz<c;  
l Thus, first extension of the approach could be,  FVOR~z  
l Present some cues for a further approach from Fuzzy Sets Theory }ie\-V  
application to ml$"C  
l Some improvements to the scheduling aspect of the model may yrO \\No#H  
be brought through additional levels in the hierarchy for more AL%H$I  
detailed representation of the scheduling activity. =ja(;uC  
Tables and Figures T/Q# V)Tp  
l Figure 7-1 sketches these relationships. W|_^Oe<  
l The graphical representation of these functions is shown in Figure DDh$n?2fd  
1. {Muw4DV  
l The xx may be depicted as in Figure 1. iXpLcHi  
l Figure x shows the schematic diagram of the A;E7~qOG  
l Figure 1 though 2 provide a ... that !"{+|heU9p  
l the architecture of this expert system for .... is illustrated in Figure 71i".1l{K  
2. ~Ti  
l Figure 2 gives the outline of an ... system T\\Q!pY  
l Table shows the tkr RdCq  
l as shown in Table 1 and 2 X!r9  
l This concept is illustrated in Figure 2 5nL,sFd  
l At the top of Table xx are shown two blocks of data. qE73M5L&  
0^htwec!  
l Each table or matrix has constructs xx through xx as qI,4 uGg  
row-headings, V<f76U)  
xx through xx as column-headings. nJH+P!AC  
l A table of .. is developed and significant recommendations are f(Jz*el S  
made. \yeo-uN8  
CONJUGATION u'"VbW3u n  
To Indicate Addition # SiOx/  
l additionally, again, also, and then, as can be easily understood, FbRq h|  
besides, equally important, especially, finally, for the same reason, Vm NCknG  
first, further, furthermore, in addition, last, likewise, moreover, next, `8$gaA*  
second, third, too, evidently, obviously, roughly speaking, broadly 9(`d h  
speaking z)$X/v  
To Indicate Cause and Effect ]AjDe]  
l accordingly, as a result, consequently, for this reason, hence, in 5[\mwUA  
short, otherwise, then, therefore, thus, truly 0&!,+  
To indicate Comparison  #P8R  
l in a like manner, likewise, similarly , alternatively pUV3n 1{2  
To Indicate Concession "W:#4@ F  
l after all, although this may be true, at the same time, even though, 83io@*D  
even so , I admit, naturally, of course NEInro<  
To Indicate Contrast XI#1)  
l and yet, at the same time, but, for all that, however, yet, in fact, in P9j[ NEV  
contrast, in the real life, in spite of, nevertheless, notwithstanding, A1`y_ Aj  
normally, on the contrary, on the other hand, still, traditionally, A|!u`^p  
rather, unfortunately, =bt/2 nPV  
To Indicate Time Relationships: rv/O^aL`Y  
after a short time, afterwards, as indicated earlier, as long as, as soon Qo7]fnnaV  
1+\ZLy!5:  
as, at last, at length, at the moment, at that time, at the same time,  "5\<.  
before, earlier, currently, immediately, in the meantime, in recent L8"0o 0-  
years, lately, later, meanwhile, often, of late, presently, recently, +r0ItqkM  
soon, shortly, since, thereupon, temporarily, therefore, until, when, rp*f)rJ  
while q$>/~aVM  
To Indicate Special Features or Examples: &g dtI  
for example, for instance, incidentally, indeed, in fact, in other words, y_bb//IAG  
in particular, in practice, specifically, that is, to illustrate, in this 6ybpPls  
respect, theoretically, as mentioned before / above [UqJ3@>  
To Indicate Summary: *aKT&5Ch-  
in brief, in conclusion, in short, in summary, on the whole, to &p>VTD  
conclude yQ5F'.m9e  
, in general, to summarize, to sum up, as a result, ultimately, Y](kMNUSg  
VERB PHASE 2%0J/]n\A"  
l build a .. model {pEay|L_  
l build up the key link k@HV wK'y  
l began a new era in ... y#%*aV}|B  
l can be regarded as / achieved / used to/for / found / obtained u,]?_bK)  
through F' eV%g  
l can result in !RX7TYf  
l carries out ... tasks ~N{ 7  
l production information in order to simultaneously ruMS5OqM  
l contains all information necessary to describe }u"iA^'Ot  
l do not make use of production information (of=hzT^?  
l deals with C'4gve 7!  
l end with failure ["N{6d&Q  
l fetch the information from the model directly eC+S'Jgf  
l has great potential / yet to be resolved / spurred the %`rZ]^H  
development of / OMaG*fb=  
been recognized as Yxe%:  
l BE aimed at / built up / carried out by / essentially concerned pDW4DF:`(  
.2y2Qm  
with / considered to be the key technology / associated with each njO5 YYOu  
feature of a compo )_$F/ug  
site component / cable of / currently implemented for / a>1_|QB.  
demonstrated by an example / finally reached / made equal to / xj/Iq<'R*O  
equivalent to / more suitable to / oriented to / interpreted as / 7WuhYJbf  
pointed out / potentially of great benefit in the complex task of / <+0TN]?  
shown in / used to effectively guide the search *{}Y :  
l makes use of Tnw0S8M  
l make up v.wHj@  
l meets the needs of real life production,/ the current demands 6rBXC <Z  
placed upon it okl*pA)  
l must be justified N~<H`  
l point out Yv}V =O%  
l play an important role LV$@J  
l relates to 2m$\]\kCUv  
l rely on Rh%c<</`0s  
l satisfy the needs w 0V=49  
l determine the total requirements for the ... W$E!}~Ro  
l uses ... as a key to search for... jrOqspv   
l without relying on 8OYw72&  
l will be available/ performed/ overlooked V(-=@UW  
NOUN PHASE O!Rw ? Y  
l a basic technical function of 5Z2tTw'i  
l a critical need ]!v:xjzT  
l a key / principle feature of z?9vbx  
l a substantial impact on F_Pv\?35z  
l an intensive review was conducted _A[k&nO!&J  
l an increasing need for expanding the application of .... jB"?iC.  
l an important component / function / aspect / issue yXuc< m  
l each rule is numbered in sequence dZS v=UY)  
l each of these involves o.)8  A8  
l for this calculation, it is necessary to define xEX"pd  
l in the physical environment / integration of aGUKpYF  
SCXH{8SS  
l in the reality of situations where … Xm#E99  
l many aspects of v>e%5[F  
l most past efforts have been spent on ... A7|CG[wZ  
l common sense to a well studied and documented technical field. 9|;"+jlt  
l sources of additional information on ... are listed >EMsBX  
l systematic and rationally structured format XN*?<s3  
l the basis on which a range of ...operations can be established is S 5 4N  
shown eM3-S=R?<g  
l THE basic philosophy / principles of / key element / general qHAZ)Tz  
hypothesis / candidate list of / concept of ... has attracted wide l6YToYzE2  
interest / function is concerned with / heart / impact / nature / role QA=G+1x  
/ task of / kernel functions FEdWe\E  
l the number of parts needed to tA*hh"9  
l the above statement means that iyj,0T  
l the output data is passed to J ejDF*Q  
l the proposed method / underlying principle U',.'"m  
l the recommendations made in this report, if implemented, should E[z8;A^:0  
l this information resides in ? iX1;c9  
l this process is composed of ... different ... operation )]\?Yy g]  
l along with the use of cz2guUu  
l concerning general aspects of  1#G(  
l due to d G}.T_l  
l for later use in generating..., =nq9)4o  
l in turn, J?Ed^B-  
l IT IS believed / noted / assumed / suggested / shown / quite sSh=Idrx  
evident / appears / implies that / intended for / of no important to [RZ}9`V  
l it can be claimed/concluded that z>,fuR?9  
l it demonstrates the decisions required of <Z$r\Huf  
l it also provides information to .. 3?}W0dZ$d  
l it becomes essential to QGWfF,q  
l let ... be the probability that \Mujx3Fmvx  
l once... is written, it is compiled into... [P,/J$v^~  
l suppose it is observed that ylV.ZoY6  
l this is because #4?(A[]>H  
|5ifgSZ  
l this results in a H-*"%SJ  
l upon completion of the ... analysis, M"E ]r=1  
l when the knowledge is of mathematics or quantum physics, it will HjX!a29Wf  
also be c|kQ3(  
recorded in books and papers liYR8D |  
l selection of rules for using the tools, for generating operation 97$1na3gq  
plans, 7c:5 Ey  
is another matter of preference, since practice varies greatly. m4U7{sE  
l for the sake of convenience w|"cf{$^x  
l correct decision to be reach |;L%hIR[  
l keeping the number of rules to a minimum. xk1pZQ8c  
l a good process plan will result exhibiting several characteristics: W|go*+`W%  
l practical solutions ZQd\!K8y^Q  
l because of rather small job lot sizes Rwy<#9R[x  
l Backward reasoning can be used to answer the question "should Dn[iA~  
milling tool be select" different level of knowledge in the realm of ,W'?F9Y\  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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