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英语论文写作常用经典句型

英语论文写作常用经典句型 @~vg=(ic(  
)xf(4  
d7BpmM  
Beginning F3V:B.C  
1. In this paper, we focus on the need for mNC?kp  
2. This paper proceeds as follow. gGE{r}$  
3. The structure of the paper is as follows. V=fu[#<@Ig  
4. In this paper, we shall first briefly introduce fuzzy sets and related ]2L11" erP  
concepts E 1`g8Hk'  
5. To begin with we will provide a brief background on the 1/1oT  
Introduction w}6~t\9D  
1. This will be followed by a description of the fuzzy nature of the UxMy8} w!y  
problem and a detailed presentation of how the required  =oXlJ[)h  
membership functions are defined. hgYFR6VH  
2. Details on xx and xx are discussed in later sections. BO}IN#  
3. In the next section, after a statement of the basic problem, various CD`6R.  
situations involving possibility knowledge are investigated: first, an gLSI?  
entirely possibility model is proposed; then the cases of a fuzzy ug{sQyLN  
service time with stochastic arrivals and non-fuzzy service rule is 1c/<2xO~  
studied; lastly, fuzzy service rule are considered. mx1Bk9h%Xe  
Review ;s~xS*(C  
1. This review is followed by an introduction. 3v$n}.  
2. A brief summary of some of the relevant concepts in xxx and xxx is Z  OAg7  
presented in Section 2. g<~ODMCO?W  
3. In the next section, a brief review of the .... is given. fFC9:9<  
4. In the next section, a short review of ... is given with special regard L})fYVX  
to ... |CQjgI|;  
5. Section 2 reviews relevant research related to xx. UCmJQJc  
6. Section 1.1 briefly surveys the motivation for a methodology of Ts, U T L  
action, while 1.2 looks at the difficulties posed by the complexity of 6qV1_M#  
systems and outlines the need for development of possibility s%#u)nw19  
methods. U4a8z<l$  
Body MC-Z6l2  
1. Section 1 defines the notion of robustness, and argues for its A$~H`W<yxB  
q}'<[Wg  
importance. _;x`6LM  
2. Section 1 devoted to the basic aspects of the FLC decision-making ?=?*W7  
logic. Ozulp(8*  
3. Section 2 gives the background of the problem which includes xxx |J-tU)|1vl  
4. Section 2 discusses some problems with and approaches to, ]We0 RD"+  
natural language understanding. <vs*aFq  
5. Section 2 explains how flexibility which often ... can be expressed ^eV  K.  
in terms of fuzzy time-window s)'+,lKw  
6. Section 3 discusses the aspects of fuzzy set theory that are used in f/kYm\Zc  
the ... /ml+b8@  
7. Section 3 describes the system itself in a general way, including 55y}t%5  
the ….. and also discusses how to evaluate system performance. >Ir?)h  
8. Section 3 describes a new measure of xx. Vw.4;Zy(  
9. Section 3 demonstrates the use of fuzzy possibility theory in the &"1_n]JO  
analysis of xx. g p9;I*!  
10. Section 3 is a fine description of fuzzy formulation of human 2*-qEUl1  
decision. EcR[b@YI  
11. Section 3 is developed to the modeling and processing of fuzzy k 9y/.Mu  
decision rules 0!c/4^  
12. The main idea of the FLC is described in Section 3 while Section 4 z`J-J*R>d  
describes the xx strategies. ]3U|K .G  
13. Section 3 and 4 show experimental studies for verifying the =(<7o_gJ  
proposed model. > JTf 0/  
14. Section 4 discusses a previous fuzzy set-based approach to cost obX2/   
variance investigation. I=E\=UTG,5  
15. Section 4 gives a specific example of xxx. MA 6uJT  
16. Section 4 is the experimental study to make a fuzzy model of t/]za4w/  
memory process. Hw#yw g  
17. Section 4 contains a discussion of the implication of the results of o:%;AOcl  
Section 2 and 3. (elkk#  
18. Section 4 applies this fuzzy measure to the analysis of xx and |z)7XK  
illustrate its use on experimental data. Y=UN`vRR  
19. Section 5 presents the primary results of the paper: a fuzzy set 1(VskFtZF  
model .. rN~V^k  
)d5mZE!3  
20. Section 5 contains some conclusions plus some ideas for further OH5#.${O  
work. Pv$O=N6-  
21. Section 6 illustrates the model with an example. xAf?E%_pi  
22. Various ways of justification and the reasons for their choice are m?)F@4]  
discussed very briefly in Section 2. *^%ohCU i  
23. In Section 2 are presented the block diagram expression of a `]2y=f<{X  
whole model j+3=&PkA.]  
of human DM system ; JHf0  
24. In Section 2 we shall list a collection of basic assumptions which )|U+<r<  
a ... scheme must satisfy. IkLcL8P^  
25. In Section 2 of this paper, we present representation and a&`Lfw"  
uniqueness theorems for the fundamental measurement of fuzziness `[4{]jX+<  
when the domain of discourse is order-dense. DM ! B@  
26. In Section 3, we describe the preliminary results of an empirical W'C~{}c=  
study OxVe}Fy m  
currently in progress to verify the measurement model and to X gA( D  
construct membership functions. v}"DW?  
27. In Section 5 is analyzed the inference process through the two Czd)AVK  
kinds of inference experiments... flU?6\_UC  
This Section Cy\! H&0wg  
1. In this section, the characteristics and environment under which WS ^%< h#  
MRP is designed are described. EYKV}`  
2. We will provide in this section basic terminologies and notations bX&=*L+ h6  
which are necessary for the understanding of subsequent results. Bjsg!^X7  
Next Section (, uW-  
2. The next section describes the mathematics that goes into the mp>Ne6\Tu  
computer implementation of such fuzzy logic statements. p+1kU1F0  
3. However, it is cumbersome for this purpose and in practical H_7EK  
applications the formulae were rearranged and simplified as w:[\G%yQ  
discussed in the next section. l>jNBxB|/A  
4. The three components will be described in the next two section, *#CUZJN\  
and an example of xx analysis of a computer information system will f5&K=4khn  
_{YU WV50}  
then illustrate their use.  Z {*<G x  
5. We can interpret the results of Experiments I and II as in the R"qxT.P(  
following sections. nHF%PH#|o  
6. The next section summarizes the method in a from that is useful 18gApRa  
for arguments based on xx 4oRDvn7f&  
Summary o",J{  
1. This paper concludes with a discussion of future research ~k'SP(6#C  
consideration in section 5. 5}"9)LT@@w  
2. Section 5 summarizes the results of this investigation. {:c5/ ,7c;  
3. Section 5 gives the conclusions and future directions of research. ^;a~_9 m-  
4. Section 7 provides a summary and a discussion of some extensions K)F6TvWv  
of the paper. 8(""ui 8  
5. Finally, conclusions and future work are summarized ]}0QrD  
6. The basic questions posed above are then discussed and )V?:qCuY>  
conclusions are drawn. {E$smX  
7. Section 7 is the conclusion of the paper. Ni-@El99  
Chapter 0. Abstract  &'<e9  
1. A basic problem in the design of xx is presented by the choice of a cMp#_\B  
xx rate for the measurement of experimental variables. 6h:2,h pE  
2. This paper examines a new measure of xx in xx based on fuzzy g! DJ W  
mathematics which overcomes the difficulties found in other xx gis;)al  
measures. ^n&_JQIXb  
3. This paper describes a system for the analysis of the xx. VH7nyqEM  
4. The method involves the construction of xx from fuzzy relations. Eohv P[i  
5. The procedure is useful in analyzing how groups reach a decision. ?n(OH~@$i  
6. The technique used is to employ a newly developed and versatile QSSA)  
xx algorithm. }YCpd)@  
7. The usefulness of xx is also considered. /Xk-xg+U  
8. A brief methodology used in xx is discussed.  aK33bn'j  
9. The analysis is useful in xx and xx problem. L(+I  
10. A model is developed for a xx analysis using fuzzy matrices. T1#r>3c\  
11. Algorithms to combine these estimates and produce a xx are 2R];Pv  
lgQ"K(zY  
presented and justified. Xli$4 uL   
12. The use of the method is discussed and an example is given. VMIX=gTZ  
13. Results of an experimental applications of this xx analysis p(Ux]_s%  
procedure are given to illustrate the proposed technique. bYAtUEv  
14. This paper analyses problems in b|oT!s  
15. This paper outlines the functions carried out by ... cPy/}A  
16. This paper includes an illustration of the ... |wINb~trz  
17. This paper provides an overview and information useful for @|([b r|O  
approaching WT63ve  
18. Emphasis is placed on the construction of a criterion function by y4)iL?!J~  
which the xx in achieving a hierarchical system of objectives are =~_  
evaluated. HT ."J  
19. The main emphasis is placed on the problem of xx je8 5G`{DC  
20. Our proposed model is verified through experimental study. 5Ky(C6E$s  
21. The experimental results reveal interesting examples of fuzzy /]oQqZHv  
phases of: xx, xx %'OY  
22. The compatibility of a project in terms of cost, and xx are likewise ;2P  
represented by linguistic variables. {$g3R@f^~  
23. A didactic example is included to illustrate the computational #MFIsx)r  
procedure lhC hk7l  
Chapter 1. Introduction 1xI  
Time YD;G+"n?T  
1. Over the course of the past 30 years, .. has emerged form intuitive BU#3fPl  
2. Technological revolutions have recently hit the industrial world CEW1T_1U<\  
3. The advent of ... systems for has had a significant impact on the P; h8  
4. The development of ... is explored ?4^ 0xGyE  
5. During the past decade, the theory of fuzzy sets has developed in a Y (p Ud3y  
variety of directions _n1[(I  
6.The concept of xx was investigated quite intensively in recent years (x fN=Te,-  
7. There has been a turning point in ... methodology in accordance ?lML+  
with the advent of ... 2VzYP~Jg  
8. A major concern in ... today is to continue to improve... q=}1 ud}1  
9. A xx is a latecomer in the part representation arena. .+,U9e:%  
"([/G?QAG  
10. At the time of this writing, there is still no standard way of xx K)U[xS;<  
11. Although a lot of effort is being spent on improving these `/^ _W <  
weaknesses, the efficient and effective method has yet to be P?S]Q19Q4  
developed. ?}uuTNLl)  
12. The pioneer work can be traced to xx [1965]. L&s$&E%  
13. To date, none of the methods developed is perfect and all are far AJm$(3?/D  
from ready to be used in commercial systems. ,J8n}7aI  
Objective / Goal / Purpose m7DKC,  
1. The purpose of the inference engine can be outlined as follows: *MB >,HU  
2. The ultimate goal of the xx system is to allow the non-experts to z_N";Rn  
utilize the existing knowledge in the area of manual handling of loads, ?x rOhA9  
and to provide intelligent, computer-aided instruction for xxx. 5VJe6i9;  
3. The paper concerns the development of a xx 1X&.po  
4. The scope of this research lies in 0Ni{UV? k  
5. The main theme of the paper is the application of rule-based 1)MDnODJ  
decision making. /-,\$@J5)  
6. These objectives are to be met with such thoroughness and Z XGi> E  
confidence as to permit ... l<BV{Gl  
7. The objectives of the ... operations study are as follows: _bi)d201  
8. The primary purpose/consideration/objective of NB4O,w  
9. The ultimate goal of this concept is to provide 5|nc^ 12  
10. The main objective of such a ... system is to 2 U]d 1  
11. The aim of this paper is to provide methods to construct such Id##367R  
probability distribution. [ r8 ZAS  
12. In order to achieve these objectives, an xx must meet the B+snHabS6  
following requirements: 0'fswa)  
13. In order to take advantage of their similarity kJp~'\b  
14. more research is still required before final goal of ... can be {X&lgj  
completed &8z<~q  
15. In this trial, the objective is to generate... 4] uj+J  
16. for the sake of concentrating on ... research issues Iz5NA0[=2  
17. A major goal of this report is to extend the utilization of a recently Ph1XI&us9  
developed procedure for the xx. z.!N|"4yr  
e[fOm0^.c  
18. For an illustrative purpose, four well-known OR problems are Z(T{K\)uN  
studied in presence of fuzzy data: xx. P}Kgh7)3  
19. A major thrust of the paper is to discuss approaches and O,%,dtD[a  
strategies for structuring ..methods Wc[,kc  
20. This illustration points out the need to specify :q]9F4im  
21. The ultimate goal is both descriptive and prescriptive. L meP J  
22. Chapter 2. Literature Review g4$(%]  
23. A wealth of information is to be found in the statistics literature, NEIkG>\7q  
for example, regarding xx >s f g`4  
24. A considerable amount of research has been done .. during the )rD!4"8/A  
last decade :x)H !z P  
25. A great number of studies report on the treatment of H<Oo./8+  
uncertainties associated with xx. ~,b^f{7`!  
26. There is considerable amount of literature on planning {`QHg O  
27. However, these studies do not provide much attention to '7-Yo Q  
uncertainty in xx. VThr]$2Y  
28. Since then, the subject has been extensively explored and it is ?Gki0^~J  
still under investigation as well in methodological aspects as in @1Jwj tNk  
concrete applications. - {QU>`2  
29. Many research studies have been carried out on this topic. <+i(CGw  
30. Problem of xx draws recently more and more attention of system mll :rWC)  
analysis. 0 =j }`  
31. Attempts to resolve this dilemma have resulted in the $*fJKR_N  
development of /o9T [ ^\  
32. Many complex processes unfortunately, do not yield to this BBB@M  
design procedure and have, therefore, not yet been automated. {LO Pm1K8Y  
33. Most of the methods developed so far are deterministic and /or %l F*g  
probabilistic in nature. n|w+08c"  
34. The central issue in all these studies is to 9-KhJq%  
35. The problem of xx has been studied by other investigators, }TmOoi(X@  
however, these studies have been based upon classical statistical  EKwQ$?I  
approaches. K4c:k; V  
36. Applied ... techniques to #DTKz]i?  
37. Characterized the ... system as 1i76u!{U  
Zv u6/#  
38. Developed an algorithm to w,LtQhQ  
39. Developed a system called ... which yn4T !r "  
40. Uses an iterative algorithm to deduce B$4*U"tk  
41. Emphasized the need to ^SdF\uk{?6  
42. Identifies six key issues surrounding high technology #~*v##^vFH  
43. A comprehensive study of the... has been undertaken A6N6e\*  
44. Much work has been reported recently in these filed kRp]2^}\s\  
45. Proposed/Presented/State that/Described/Illustrated/ aF{_"X2  
Indicated/Has shown / showed/Address/Highlights  < $~lFV  
46. Point out that the problem of ;[v!#+yml  
47. A study on ...was done / developed by [] h)KHc/S  
48. Previous work, such as [] and [], deal only with |Wh3a#  
49. The approach taken by [] is ;O"?6d0  
50. The system developed by [] consists n ~t{]if"  
51. A paper relevant to this research was published by [] 1Ms[$$b$  
52. []'s model requires consideration of... _5oTNL2   
53. []' model draws attention to evolution in human development Wv;0P hF  
54. []'s model focuses on... :cT)M(o  
55. Little research has been conducted in applying ... to K`4rUEf}V"  
56. The published information that is relevant to this research... S* h52li  
57. This study further shows that gD,&TW  
58. Their work is based on the principle of rPV Q#iB  
59. More history of ... can be found in xx et al. [1979]. 615Ya<3f8  
60. Studies have been completed to established $%<{zWQm  
61. The ...studies indicated that 7#V7D6j1  
62. Though application of xx in the filed of xx has proliferated in P}bIp+  
recent years, effort in analyzing xx, especially xx, is lacking.  j]u!;]  
Problem / Issue / Question =o@;K~-  
63. Unfortunately, real-world engineering problems such as q t"D!S_  
manufacturing planning do not fit well with this narrowly defined :6n#y-9^1  
model. They tend to span broad activities and require consideration mw @Pl\=  
of multiple aspects. H4$qM_N  
64. Remedy / solve / alleviate these problems 7CIN!vrC|1  
67. ... is a difficult problem, yet to be adequately resolved @CprC]X  
tpfgUZ{  
68. Two major problems have yet to be addressed fr17|#L+s  
69. An unanswered question j\2Qe %d  
70. This problem in essence involves using x to obtain a solution. ?=u?u k<-  
71. An additional research issue to be tackled is .... r`H}f#.KR  
72. Some important issues in developing a ... system are discussed DUp`zW;B  
73. The three prime issues can be summarized: u4x-GObJM  
74. The situation leads to the problem of how to determine the ... L%'J]HL-  
75. There have been many attempts to 144Y.  
76. It is expected to be serious barrier to tOwn M1 :(  
77. It offers a simple solution in a limited domain for a complex f|[7LIdh-  
problem. K-qWT7<  
1. There are several ways to get around this problem. qeZG/ \,  
2. As difficult as it seems to be, xx is by no means new. $?= $F  
3. The problem is to recognize xx from a design representation. p`tz *ewC  
4. A xx problem can trace its roots to xx. 3efOgP=L  
5. xx [1987] used a heuristic approach to simplify the complexity of ~7m`p3W@  
the problem. c%&,(NJ]K  
6. Several problems are associated with them. v%tjZ5x  
7. Although some progress has been made in this area, at least two  3Y#Q'r?  
major obstacles must be overcome before a fully automated system iZGbNN  
can be realized. {X !vb  
8. Most problems in practice are complicated U2Ve @.  
9. More problem surface here. '+Dsmoy  
10. Hamper effort toward a xx system JrP`u4f_  
11. In order to overcome the limitations due to incomplete and pdu1 kL  
imprecise xx knowledge, a xx program has been developed, which I?T !  
bases its knowledge upon the statistical analysis of a sample UZdnsG7  
population of xx V@'Xj .ze  
12. The above difficulties are real challenges faced by researchers di\.*7l?  
attempting to develop t]xz7VQ  
13. This type of mapping raises no controversy to the issue of >,6  
membership function determination. pa-*&p  
14. However, attempts to quantify the xx have met both theoretical g#S X$k-O  
and empirical problems. gS(3m_  
qq)5)S  
15. It has become apparent that in order to apply this new s_^`t+5  
methodological framework to real-world problems and data, we have =dXHQU&Q  
to pay attention to the problems of xx and xx. vJE=H9E  
Chapter 3. Proposed methodology k>i88^kPV  
Assumption Z%~}*F}7X  
1. In the case when the assumption of a xx seems to be too }T_"Vg q  
restrictive or inadequate, the formulation with Fuzzy termination P| NGAd  
time, i.e. given by a fuzzy set in the space of control stages, may be ju2H 0AQ  
applied. ~-"CU:$o  
2. We assume here the fuzzy constraints to be state-dependent, and F:zmO5L5  
the fuzzy goal to be the same for all the control states, xx, which )U/Kz1U  
stems from the problem's nature. b+Q{Z*  
3. An approach to the solution of this problem is presented under the [I;C 6p  
assumption that the sampling rate Decision can be made prior to the 2j f!o  
execution of the experiment, as opposed to being made while the 9>{fsy  
experiment is in progress. uh\G6s!4/  
4. Another assumption made above is that there are precise odds at (N/u@M  
which the expert is indifferent. A6z2KVk  
5. Main simplifying assumptions are: 1 -Z&/3T]  
6. This, in our view, is a questionable assumption. 8Hq4ppC  
Outline / Structure / Module SX,$ $43  
1. An outline of the research 8kKL=  
2. Information is incorporated within the scheme 0MpW!|E  
3. Is built into ... structure -axKnfj  
4. A nice modular structure. 7a[6@  
5. The principles of ... are applied as modularized criteria (ot,CpI(I  
Classification H ~*N:$C  
1. A xx system comprises three main components: hq"n RH  
2. Must decompose the original .. into a set of .. qFVZhBC  
3. Consists of the following steps: Z71_D  
4. This is summarized in the following steps: DXJw)%G w  
&q&z$Gc;m  
5. Can be broadly classified into the following areas: P%B|HnG^  
6. Can be characterized by its function of effectively processing the +:Xg7H*  
7. Can allow further breadth of application of ...into more wmpQF<  
8. The following steps should be followed iK2f ]h  
9. xx can be classified by a different ways. -8)C6"V{  
10. Based on the xx, one may classify xx into the following: pZ $>Hh#  
11. This catalog may change due to wear, breakage, and purchasing. 2V 8 "jc  
System /@Jg [na  
1. Unlike many conventional program, expert systems do not zvN7aG  
usually deal with problem for which there is clearly a right or wrong CUB;0J(  
answer. [cFD\"gJAr  
2. The system consists of both ... and ... wo62R&ac  
3. The system has a hierarchical modular architecture organized on Zk7!CJVM  
three levels. P:J|![   
4. expert system domains are area of expertise -7oIphJ=\  
5. To develop a xx system for xx, the following factors must be ^0"fPG`  
considered: nYC.zc*ox  
6. The system has been developed / designed to determine j*?E~M.'1K  
7. The system has proven to be able to )a!f")@uz  
8. The domain in which an expert system operates is a particular  "X=^MGV  
domain RK*tZ  
9. The system comprises a ... with ">B&dNrt  
10. The system is [feature-oriented ] / based on the ... technique }.u[';q ]S  
11. The system environment must be relatively stable A[4HD!9=  
12. The system is utilized to generate, load, store, update and BGNZE{K4"  
retrieve ... @Nm{H  
13. The development of a xx system has two stages: xx stage and xx zWN]#W`  
stage. X+;#^A3  
14. The most essential part of .. system is the ... 7h. [eMLPB  
15. The successful developments in ESs have made them an g}?39?o 4  
important tool in the development of Q(WfWifu-|  
16. An automated system was developed for 1)e[F#|  
17. In this case, the system can be considered to be generative. >7?Lq<H  
+pv..\  
18. An interactive automatic ... system >0:=<RW  
19. A …. is commonly thought of as a truly integrated .. system 5OTZa>H  
20. Should be capable of being generated from a ... system D1]?f`  
21. xx is an important part of the integrated system. )):D&wlq  
22. The model consists of four rule bases, each of which addresses a .<K9Zyi  
separate problem in the hierarchy of scheduling decision. <0/)v J- 9  
23. The rule bases are linked to each other in a chin-like manner in 3E@ &  
the sense that the consequent of one rule base constitutes a part of ?U:c\TA,m  
the antecedent of the next rule base. gsIp y  
24. The rule base consists of all possible combinations of the *TL3-S?   
linguistic terms associated with the linguistic variable of the nS!m1&DeD  
antecedent of a rule. KrTlzbw&p\  
Computer System $-]9/Ct  
1. The system has been implemented using Prolog language in an 8P%Jky&(  
MS-DOS environment. Prolog was chosen because it offers a well ?;rRR48T9E  
known and flexible environment in which fuzzy reasoning may be ;MO,HdP;  
easily implemented. P!R`b9_U  
2. The current version of the xx program when compiled with On;7  
WATFOR77 results in an executable code of about 270K bytes. m*AiP]Qu  
Typical run time, when run on a XX computer (an IBM compatible bz\nCfU  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min TaG (sRI  
to 2h, depending on the size (or complexity) of the problem. C9%A?'`  
3. Time consuming procedures have been implemented in tHJahK:"k  
C-language and directly linked to the Prolog environment. A2nL=9~   
4. The xx process, once the xx's data has been entered, requires w\>@ > *E>  
approximately 180 seconds. F@xKL;'N74  
5. It should be noted that the computation was done with a 20 Hhz, 9+'*  
80386..209;based microcomputer equipped with a 80387 math {UuSNZ[^  
co-processor. %G, d&%f  
6. The computer programs used for the analyses, one based on the xx !$0ozDmD  
method and the other based on the new method, were written in "2 qivJ  
FORTRAN with a compiler that supports the math co-processor. ?2S<D5M Sb  
7. Lisp, Prolog give maximum flexibility but also maximizes \lpvRZ\L&g  
#@cEJV;5"  
development time. {G-y7y+E  
l Internal representation is the way a model is represented in the tIW~N g  
computer. ~#:R1~rh\e  
l An interactive menu-driven procedure is used in this study )Q~K\bJf  
l Shell can be develop very fast at the cost of time fairly severe EE~DU;p;]  
limitations. DLEHsbP{$  
l While there is no measurable saving of time for the case involving i)M JP *  
five criteria, the saving is dramatic for the case involving 10 criteria oazy% n(KZ  
-- the computation time reduces from 10 hr 40 min to about 1 min. 03 I*@jj  
l This combination is being implemented in an objected-oriented P?M WT]fY  
programming environment (Smalltalk-80 system) to solve problems pLpWc~#  
encountered in construction xxx.  B"Ttr+  
Method / Approach / Study / Process Model / Equation /Algorithm / ,z|g b]\  
Rule / Formula / Technique g$9s} \6B  
l A discussion is presented of a problem-solving system &}b-aAt  
l To improve the efficiency of the method, the following approach T3/Gl 6f  
may be applied. O.'\GM  
l In order to an investigation was made to find the causes of the ka| 8 _C^z  
l Although large collections of rules and equations have been j<-YK4.t  
complied, none are generally accepted e-YMFJtoK}  
l This approach will be explained and discussed thoroughly in the pa6-3c  
body of the report. )C#b83  
l This can be accomplished by j<'ZO)q`Q  
l This algorithm to compute the total cost can be described step by ck#MpQ!An  
step as follows: %gV~e@|  
l The above preliminary analysis has provided important 52z{   
information )\l(h%s[I  
l Various methods have been proposed for selecting an optimum... W 4S! rU  
l These concepts have been applied to *ta?7uSiT  
l On the basis of the concept mentioned above, 7\ kixfEg  
l This can be achieved by </) HcRj'e  
l This fact suggests that a new concept (b;*8  
l This was accomplished by taking ... t(5PKD#~Dc  
L [=JHW  
l The preparatory stage is very time consuming process. Eh|v>Yew  
l Test are performed for validity, completeness, and compatibility :B5M#D!dO  
l There is little hope of achieving successful ... ;wj8:9 ;  
l There has been an increasing awareness of the potential of using :6y;U  
most ..so far made have not taken this approach, with the exception 45$F cK  
of )CUB7D)=  
l Only a few studies can be found. F4 :#okt  
l It is a very tedious process to go through <~R{U> zO  
l It is only when .. has been completed that .. may be effected m}o4Vr;"  
l The entire interpretation process is conducted in one's head. hSF4-Vvb  
l These approaches are sometimes very tedious. ;A;FR3=)  
l Several techniques can be used l"1at eM3  
l A polynomial parametric model can be written as [the T6fm`uL&L  
following]/[follows]: C`r{B.t`GT  
l A xx model is constructed/formulated using xx. NX9K%J  
l A xx model represents an xx by its xx. xJ|_R,>.H  
l A process decision model captures the logic essential to Rr6}$ ]1  
l From the equation above, xx is equal to the summation of xx E7>D:BQ\2  
times the ... YK 6zN>M}E  
l The validity of a xx model can be checked using Euler's formula. V"DilV$v  
l Given a model, one can mathematically determine whether ... or ... ]@9ZUtU,;N  
l Equations for xx need to be derived and implemented in the vvmG46IgZ  
system. U3b&/z|b?  
l A number of heuristic rules have been developed for +X|^ ~)tMJ  
l Optimum .. techniques can be made more reliable by ... so that rs+ ["h  
l An algorithm based on the characteristic ... is used to determine Hh{pp ^  
l Euler's formula states the following: Dwg_#GSr  
l The completed model should agree with the formula. s?~lMm' !  
l For manufacturing purposes, a detailed and precise model of the 3T84f[CFJ  
object is necessary Ic')L*i7O  
l Engineering design models are very well defined; therefore, g8L{xwx<  
l To keep the domain narrow enough to be implementable, yet wide W}aCU~  
enough to > xie+ ^  
be useful. 83g$k 9lG.  
GW\66$|  
Point of View 35/K9l5  
l from an implementation standpoint, p`/c&}  
l From the point of view of this application, Q]hl+C$d"/  
l From this point of view, Zadeh suggested an inference rule named w:c9Z=KX  
xxx (CRI for short). ~>B`T%=H  
l Information is the meaningful interpretation and correlation of 6'45c1e   
some aggregation of data in order to allow one to make decisions. iph}!3f  
l From a practical point of view, the computational aspects of an lFZl}x  
FLC require a simplification of the fuzzy control algorithm. Ci_Qra 6  
l The use of a hammer to insert screws, although partly effective, CWa~~h<r-  
tends to distort, destroy, and generally defeat the purpose of using a @RXkj-,eC#  
screw [Kusiak AI Implications for CIM p.129] 9|NH5A"H.  
Justification \qz! v  
l We choose the so called xx in our experiment because it has za!8:(  
received wide acceptance and can %WlTx&jSgE  
l Prolog was chosen because it offers a well known and flexible dCpDA a3  
environment in which fuzzy reasoning may be easily implemented. RmRPR<vGW  
l The rationale behind this is that it can be much easier for an yS1i$[JV  
estimator to rate a cost as high than to attempt to place a dollar d<Dm(   
value on the estimate. <S3s==Cg  
l This strategy has been widely used in fuzzy control applications Z -fiJ75  
since it is natural and easy to implement.  Y49&EQ  
l A function definition expresses the membership function of a ?&?5x%|.<  
fuzzy set in a functional form, typically a bell-shaped function, etc. i 2+_~$f  
Such functions are used in FLC because they lead themselves to eY[kUMo  
manipulation through the use of fuzzy arithmetic. 'P)c'uqd#  
l It should be noted that in our daily life most of the information on H3L uRGe&2  
which our decisions are based is linguistic rather than numerical in xVk5%  
nature. Seen in this perspective, fuzzy control rules provide a natural 7n,=`0{r  
framework for the characterization of human behavior and decisions M+*K-zt0  
analysis.  :!Nx'F9a  
l Many experts have found that fuzzy control rules provide a u|LDN*#DW  
]>B4  
convenient way to express their domain knowledge. This explains 5W0s9yD  
why most FLCs are based on the knowledge and experience which (67byO {  
are expressed in the language of fuzzy "if-the" rule. 0S96x}]J B  
Chapter 4. Examples [* M':  
Example/ Data #p ;O3E@  
l The data used in the following example was taken from an  nZ)E @  
experiment in which xx was measured between x and x using a xx H: S<O%f  
technique. 3N 5@<:2`  
l The data consists of over xx measurements. C]Y%dQh+a  
l An example of xx is discussed and the control rules of xx are iI>7I<_  
compared with a xx K|Eelhm  
l Examples of complex processes to which this technique may be 1_};!5$.  
applied are xx, xx, etc. --EDr>'D5P  
l The following example is constructed only for the purpose of 2Z5_@Y  
illustrating the computational procedure discussed. a?yU;IKJ  
l This example clearly demonstrates that the profile of an individual Wm}gnNwA  
xx, or a very small group of xx, with no enough data to be studied e{9~m  
statistically, can be meaningfully analyzed by fuzzy possibilistic *nYg-)  
methods. s/B_  
l There is no space here to go into detail on all these methods, but !FDd5CS  
deserve a mention and the bibliography will point to detailed 684|Uuf7  
references for those wishing this level of detail. }LeS3\+UHl  
l Note that the golf ball spotting example is used throughout the B gn%d4W;G  
paper. 8N+T=c  
Comparisons no W]E}nN  
l As well, the pros and cons of these representations from a process zvVo-{6  
planning point of view will be discussed. |j81?4<)v  
l The method of using xx to implement xx described by Zadeh _9JFlBx  
(1973) appeared more suitable TEh.?  
l As discussed [in the previous section]/[preciously], YCQ $X  
];lZ:gT  
Relation C<3<,~gI  
l We can not invert F' directly because it defines a many-to-one Q4hY\\Hi  
mapping. P%H  Dz  
l The relationships appear very complicate ca,W:9#.xn  
l Lifting tasks involve complex and imprecise relationship between .izq}q*P   
the task variables and the human operator's characteristics. 7F6 B  
l These methods are based on the relationship between ... and ... |35OA/O?X  
l The fundamental concept of a fuzzy rating language is that we can tv.<pP9-C  
establish a relationship among terms such as high, medium, and low, k=[s%O 6H  
and then modify these relationships. amdgb,vh  
l This article will thus mention the latter as well as the former. ruGeN  
l The former two bear a close relation to a fuzzy Cartesian product. &b`W<PAc?4  
Importance #CaPj:>[  
l The emphasis is on an implementation of a general approach to v&'#Gg  
rule based decision making.  5QLK  
Consideration / Attention ($kw*H{Ah^  
l Careful evaluation is necessary to ensure (/N&_r4x  
l Such a formulation does not change further considerations. pm,xGo2  
l Considerable attention has been paid to BjsT 9?6W/  
l Attention should be paid to an important finding of this Pv/ v=s>X  
investigation. w $6Z}M1d  
l Caution should be exercised in this process to avoid ... kI)}7e  
l Primary consideration is given to ... components, though others gW GDm~+  
can be accommodated [GI~ &  
l After ... has been defined by ..., a carefully analysis is carried U]~@_j  
out/performed to determine Lr D@QBT  
l A number of factors such as ...need to be taken into consideration %z-*C'j5H  
before making the appropriate decision. r O$pj~!|Q  
l It should be noted that MCmb/.&wu  
l It is important to point out that ... robg1  
l These considerations have heightened interest in the possibility of 1wKXOy=v0  
providing ... ^ls@Gr7`P  
Ze eV-  
l We should stress the fundamental importance of the xx JiaR*3#  
Chapter 5. Results. `a4&_`E,p  
Advantages / Disadvantage kFWwz^x  
l One of the major advantages of this new measure of xx is that it w, LmAWZ4Y  
can be applied to the experimental study of [3G{NC|'  
l One advantage of using a .. is the ease of preparing it. w3(|A> s3  
l The xx system is versatile eZa*WI=  
l It has a very fast decision making process q2vD)r  
l All the algorithms involve mostly logical operations. \D?'.Wo%  
l It can be easily and without additional cost implemented in a D4!;*2t  
microprocessor-based environment. d#rr7O  
l It can reduce the waste of designing from scratch. Ak9{P`  
l The advantages of using a xx to represent xx are the following: pT]hPuC  
l However, xx is not without its shortcomings. E+@Q u "W  
l In most cases, the xxx shows an improvement over the existing 0\tac/  
xxx. Ayw_LCUD  
l Compared to the existing xx, the impacts of the xx are generally @kFZN6  
reduced by 5% to 9%. K$,Zg  
l The "best case" results shows a savings of 6% to 9%. JY#vq'dl|  
l Most of the existing works based on xx approach can only 1'E=R0`pA  
recognize a xx . w*VN =  
l Most of the above methods are computational expansive and i-O D"5a`  
limited to xx. [`\VgKeu  
l Some other advantages of xx are the following: i< ^X z  
l The problem is the limitation of this method to a limited domain of s|Mo 3_>  
parts. f1 x&Fk  
l It proved limited in application because it demanded precision in Z@0tZ^V{  
system modeling that was impossible in practice. IgX &aW  
l There are advantages to be gained in the structuring of costs and j 2ag b  
benefits, the use of xx, '? 5-  
l The disadvantages of this method are also disadvantages of PXMd=,}  
conventional xx approaches.  cca g8LC  
j&d5tgLB  
l This combines the best features of both techniques gXdMGO>  
l Hopefully, this tool can be as the reference framework of for /mex{+p>tO  
developing a xx platform, and helping the administration, marketing, 8Sr'  
and knowledge management activities in virtual communities. .Fo#Dmq3  
Results |(>`qL{|  
l An improvement on the result shown above can be made by based lmeTW0U@9(  
on the data provided x6UXd~ L e  
l Discussion of these theories is beyond the scope of this review u<edO+  
l Based on the information contained in this a2Ak?W1  
l The result can be categorized into nine classes d0:LJ'<Q  
l The results are illustrated by an example U]cXE1c>F  
l The experimental results for each xx time are reported in Table 2. Ln h =y2  
l From the results obtained so far, it seem that 2RkW/) A9  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn a^R?w|zCX  
as }>@\I^Xm,  
l Although much effort has been made to., this reality is far from eYUb>M)  
completion. 8o~ NJ 6  
l The results indicate that the total benefits are higher than the N p"p*O  
total costs. wMW<lT=;  
l Their results may then serve as guidelines for lower level models, =:]ps<Qx  
less fuzzy and more detailed. U^dfNi@q  
Chapter 6. Conclusion *ub2dH4/  
l From the discussion, one may conclude that ... QLd*f[n  
l Form the above discussion, the conclusion can be reached that N'`X:7fN  
l The conclusions drawn are also valid ?o " Vkc:  
l In conclusion to this, it becomes obvious that the problem of xx f^F;`;z  
lies not only in... &hYgu3O  
l We have attempted to introduce some concepts associated with a hF2e--  
theory of IoDT  
xx based on fuzzy sets. }+@9[Q L  
l Considerable more work, hopefully, will be done in this area Y(PCc}/\  
l A fuzzy set procedure is proposed to solve xx selection problems meX2Y;  
"hk# pQ  
interwoven with imprecise data QOWGQl%!  
l Employing the compositional rule of inference, the assessment of g|~px$<iY  
the xx compatibility in achieving prescribed xx projectiles in any mnpk9x}m  
level of the hierarchy is made possible. $bTtD<a  
l This paper has presented a theoretical and experimental study of 2"ax*MQH<^  
the xx process and xx concept. _T\~%  
l The experimental research results will hopefully serve as useful *ID =X!v  
feedback information for improvements for xx work. .+:iAnf  
l The scope of this contribution was to introduce a xx method. T[\1=h ]  
l In general, fuzzy sets theory provides an alternative foundation ^k6_j\5j  
for xx analysis in a fuzzy environment. yv,FzF}7  
Future Research z!}E2j_9P  
l Thus, first extension of the approach could be, a4*v'Xc5  
l Present some cues for a further approach from Fuzzy Sets Theory V*?cMJ_G  
application to 7]VR)VAM  
l Some improvements to the scheduling aspect of the model may )-2Nc7  
be brought through additional levels in the hierarchy for more 3aqH!?rVU  
detailed representation of the scheduling activity. a/J<(sak~X  
Tables and Figures 2-4N)q  
l Figure 7-1 sketches these relationships. Ln>!4i+-B)  
l The graphical representation of these functions is shown in Figure i2<z"v63  
1. x=*&#; Y|  
l The xx may be depicted as in Figure 1. 'kd}vq#|  
l Figure x shows the schematic diagram of the 5H3o?x   
l Figure 1 though 2 provide a ... that Nv5^2^Sc=  
l the architecture of this expert system for .... is illustrated in Figure Sz0PZtJ  
2. kt yplo#F  
l Figure 2 gives the outline of an ... system j<^!"_G]*?  
l Table shows the tJ(xeb  
l as shown in Table 1 and 2 R~g|w4a@sC  
l This concept is illustrated in Figure 2 \+o\wTW  
l At the top of Table xx are shown two blocks of data. 45yP {+/-Q  
3fOOT7!FL  
l Each table or matrix has constructs xx through xx as yy3r h(ea  
row-headings, YmljHQP  
xx through xx as column-headings. o#m31* o  
l A table of .. is developed and significant recommendations are j7!u;K^c  
made. 8qe[x\,"8  
CONJUGATION N#u'SGTG  
To Indicate Addition U%vTmdOY  
l additionally, again, also, and then, as can be easily understood, 971=OEyq*  
besides, equally important, especially, finally, for the same reason, %FjUtB  
first, further, furthermore, in addition, last, likewise, moreover, next, {K|?i9K  
second, third, too, evidently, obviously, roughly speaking, broadly  ai 4k?  
speaking D,IT>^[^7  
To Indicate Cause and Effect !oz{XWE  
l accordingly, as a result, consequently, for this reason, hence, in 0AM_D >fH  
short, otherwise, then, therefore, thus, truly h8V*$  
To indicate Comparison Yn?beu'  
l in a like manner, likewise, similarly , alternatively u 7e$Mq  
To Indicate Concession 3,p!Fun:r  
l after all, although this may be true, at the same time, even though, Fo3*PcUv  
even so , I admit, naturally, of course O?vh]o  
To Indicate Contrast k8 #8)d  
l and yet, at the same time, but, for all that, however, yet, in fact, in MZ3 8=nJ  
contrast, in the real life, in spite of, nevertheless, notwithstanding, +?\JQ|  
normally, on the contrary, on the other hand, still, traditionally, Ti2cD  
rather, unfortunately, |lhnCShw  
To Indicate Time Relationships: Jxl'!8t  
after a short time, afterwards, as indicated earlier, as long as, as soon u(zgKoF9A  
xa`xHh{0  
as, at last, at length, at the moment, at that time, at the same time, [P}Bq6;p  
before, earlier, currently, immediately, in the meantime, in recent 4 QQt 0u0  
years, lately, later, meanwhile, often, of late, presently, recently, 7nPg2K&  
soon, shortly, since, thereupon, temporarily, therefore, until, when, ]*NYuEgc  
while Q7x[08TI  
To Indicate Special Features or Examples: fV+a0=Z  
for example, for instance, incidentally, indeed, in fact, in other words, ,X/j6\VBO  
in particular, in practice, specifically, that is, to illustrate, in this ?q6#M&|j/I  
respect, theoretically, as mentioned before / above .5 E)dU  
To Indicate Summary: )Q1aA S3  
in brief, in conclusion, in short, in summary, on the whole, to >|S@twy  
conclude /J^dz vH  
, in general, to summarize, to sum up, as a result, ultimately, !v2/sq$G  
VERB PHASE e\~nqKCb  
l build a .. model A^}#  
l build up the key link dg.1{6HM  
l began a new era in ... gI7*zR4D  
l can be regarded as / achieved / used to/for / found / obtained (pH)QG  
through Fepsa;\sU  
l can result in ;tQc{8O6L  
l carries out ... tasks bR3Crz(9G  
l production information in order to simultaneously x((u  
l contains all information necessary to describe & *tL)qKDc  
l do not make use of production information DD/B\  
l deals with a;5clonB  
l end with failure *& w/*h$!  
l fetch the information from the model directly iUz?mt;k  
l has great potential / yet to be resolved / spurred the 9'(^ Coq  
development of / G#Bm ">+  
been recognized as , $!F,c  
l BE aimed at / built up / carried out by / essentially concerned Qz=e'H  
X:t?'41m\  
with / considered to be the key technology / associated with each Tf=1p1!3  
feature of a compo h% >ZN-K)  
site component / cable of / currently implemented for / LawE 3CD  
demonstrated by an example / finally reached / made equal to / ?Xpk"N7  
equivalent to / more suitable to / oriented to / interpreted as / q-^{2.ftcx  
pointed out / potentially of great benefit in the complex task of / WUau KRR.  
shown in / used to effectively guide the search xj D$i'V+  
l makes use of HJb^l 4Q  
l make up ^KD1dy3(  
l meets the needs of real life production,/ the current demands n?c[ E+i;  
placed upon it i<$?rB!i<1  
l must be justified k]AL\) &W  
l point out CqWO 0  
l play an important role y%9Hu  
l relates to )" Z|x  
l rely on "*HEXru#B  
l satisfy the needs cxQ %tL+S&  
l determine the total requirements for the ... ^[R/W VNk  
l uses ... as a key to search for... C[{E8Tg/  
l without relying on V:t{mu5j  
l will be available/ performed/ overlooked ,Y| ;V  
NOUN PHASE D'%M#S0   
l a basic technical function of Wm}T=L`  
l a critical need NZG ^B/  
l a key / principle feature of C \5yo  
l a substantial impact on -ert42fN  
l an intensive review was conducted 3=?,Dv0P  
l an increasing need for expanding the application of .... N/#x  
l an important component / function / aspect / issue  `wIWK7i  
l each rule is numbered in sequence Kc@Sw{JR#7  
l each of these involves +2p}KpOsL  
l for this calculation, it is necessary to define }4piZ ch  
l in the physical environment / integration of ?b}e0C -a  
@o1#J` rv  
l in the reality of situations where … *Jt+-ZM  
l many aspects of 3me&isKL  
l most past efforts have been spent on ... X,lhVT |  
l common sense to a well studied and documented technical field. `WMU'ezF  
l sources of additional information on ... are listed (["V( $  
l systematic and rationally structured format ang~_Ec.  
l the basis on which a range of ...operations can be established is ;gAL_/_  
shown m$hkmD|  
l THE basic philosophy / principles of / key element / general 0"GLgj:9  
hypothesis / candidate list of / concept of ... has attracted wide (7&b)"y  
interest / function is concerned with / heart / impact / nature / role p/l">d]+  
/ task of / kernel functions _KT'W!7  
l the number of parts needed to Y]`o-dV  
l the above statement means that Lr d-  
l the output data is passed to X f;R'a,$  
l the proposed method / underlying principle sk:B; .z  
l the recommendations made in this report, if implemented, should oxUBlye  
l this information resides in C CLc,r>)  
l this process is composed of ... different ... operation bVa?yWb.  
l along with the use of WWOt>C~zV  
l concerning general aspects of %<p/s;eu  
l due to $-jj%kS  
l for later use in generating..., +7AH|v8  
l in turn, _7qa~7?f  
l IT IS believed / noted / assumed / suggested / shown / quite H4T~Kv  
evident / appears / implies that / intended for / of no important to paMK]-  
l it can be claimed/concluded that /?b{*<TK  
l it demonstrates the decisions required of \P"Ol\@  
l it also provides information to .. R[* n3 wB  
l it becomes essential to , )TnIByM  
l let ... be the probability that jY=M{?h''  
l once... is written, it is compiled into... 5')]Y1J  
l suppose it is observed that IDpx_  
l this is because -II03 S1  
L`w r~E2u  
l this results in a L8Z@Dk7Y  
l upon completion of the ... analysis, {9Ok^O  
l when the knowledge is of mathematics or quantum physics, it will AGO"),  
also be -okq= 9  
recorded in books and papers (#)XRm{t  
l selection of rules for using the tools, for generating operation |;d#k+/;  
plans, .!i`YT*jF  
is another matter of preference, since practice varies greatly. >p;&AaXkoG  
l for the sake of convenience 28c6~*Te #  
l correct decision to be reach Rh$+9w  
l keeping the number of rules to a minimum. G$QN_h,}  
l a good process plan will result exhibiting several characteristics: :V@)A/}uk  
l practical solutions (ov&iN x  
l because of rather small job lot sizes `CBXz!v!O  
l Backward reasoning can be used to answer the question "should 0@y`iZ] 1S  
milling tool be select" different level of knowledge in the realm of @0NWc c+  
process planning

rainbow 2007-11-14 17:47
Very useful, thank u!


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