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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 f5-={lUlIS  
5b'S~Qj#r$  
}{y$$X<:  
Beginning ?rDwYG(u]@  
1. In this paper, we focus on the need for "lZ<bG  
2. This paper proceeds as follow. hH/ O2  
3. The structure of the paper is as follows. C=cTj7Ub  
4. In this paper, we shall first briefly introduce fuzzy sets and related 9="sx 8?  
concepts "!?bC#d#(  
5. To begin with we will provide a brief background on the XEEbmIO*<9  
Introduction -`UlntEdZ:  
1. This will be followed by a description of the fuzzy nature of the 6f!mk:\T.  
problem and a detailed presentation of how the required L />GYx  
membership functions are defined. O :^[4$~  
2. Details on xx and xx are discussed in later sections. qI^jwl|k  
3. In the next section, after a statement of the basic problem, various $ZO<8|bW  
situations involving possibility knowledge are investigated: first, an ]Dg0@Y  
entirely possibility model is proposed; then the cases of a fuzzy B_2>Yt"  
service time with stochastic arrivals and non-fuzzy service rule is du,-]fF  
studied; lastly, fuzzy service rule are considered. w#,v n8  
Review :nUsC+oBS  
1. This review is followed by an introduction. \[EWxu  
2. A brief summary of some of the relevant concepts in xxx and xxx is O$/ swwB!  
presented in Section 2. G{~p.?f:  
3. In the next section, a brief review of the .... is given. z]AS@}wWqg  
4. In the next section, a short review of ... is given with special regard %ko 8P  
to ... 8v 1%H8  
5. Section 2 reviews relevant research related to xx. EIQy?ig 86  
6. Section 1.1 briefly surveys the motivation for a methodology of dRa<,@1"  
action, while 1.2 looks at the difficulties posed by the complexity of m4>o E|\  
systems and outlines the need for development of possibility &X,)+ b=  
methods. ueBoSZRWX  
Body K<JP9t6Qd  
1. Section 1 defines the notion of robustness, and argues for its @I6A9do  
/exl9Ilt]  
importance. Bqlc+d:  
2. Section 1 devoted to the basic aspects of the FLC decision-making .@-]A   
logic. [+,U0OV,  
3. Section 2 gives the background of the problem which includes xxx G3^]Wwu  
4. Section 2 discusses some problems with and approaches to, 1/+r?F 3  
natural language understanding. kGV`Q  
5. Section 2 explains how flexibility which often ... can be expressed uN3J)@;_  
in terms of fuzzy time-window ,ri--<  
6. Section 3 discusses the aspects of fuzzy set theory that are used in XPo'iI-  
the ... [<a%\:c m4  
7. Section 3 describes the system itself in a general way, including >/kG5]zxY  
the ….. and also discusses how to evaluate system performance. @SG"t,5s  
8. Section 3 describes a new measure of xx. S&]<;N_B  
9. Section 3 demonstrates the use of fuzzy possibility theory in the DB'KIw  
analysis of xx. 6ilC #yyp  
10. Section 3 is a fine description of fuzzy formulation of human /1#Q=T  
decision. '=G Ce%A  
11. Section 3 is developed to the modeling and processing of fuzzy 8yz((?LrDh  
decision rules '!h0![OH  
12. The main idea of the FLC is described in Section 3 while Section 4 02#Iip3t  
describes the xx strategies. C|;Mhe'r=  
13. Section 3 and 4 show experimental studies for verifying the `$a gM@"^  
proposed model. o ]jP3 $t;  
14. Section 4 discusses a previous fuzzy set-based approach to cost (My$@l973  
variance investigation. ~G:2iSi(#  
15. Section 4 gives a specific example of xxx. *[~o~e/YCb  
16. Section 4 is the experimental study to make a fuzzy model of }%FuL5Tx  
memory process. 1 u_2 4  
17. Section 4 contains a discussion of the implication of the results of ~TFYlV  
Section 2 and 3. {!eANm'  
18. Section 4 applies this fuzzy measure to the analysis of xx and KP d C9H  
illustrate its use on experimental data. l(w vQO  
19. Section 5 presents the primary results of the paper: a fuzzy set OC>_=i$ '  
model .. qM!f   
hk!,  
20. Section 5 contains some conclusions plus some ideas for further .0fh>kQ  
work. /b:t;0G  
21. Section 6 illustrates the model with an example. ^0tf1pV2  
22. Various ways of justification and the reasons for their choice are 1H,tP|s  
discussed very briefly in Section 2. oTD-+MZn  
23. In Section 2 are presented the block diagram expression of a 71/m.w  
whole model wAl}:|+n  
of human DM system cI%"Ynq"3  
24. In Section 2 we shall list a collection of basic assumptions which 9kX=99kf[  
a ... scheme must satisfy. H1%[\X?=  
25. In Section 2 of this paper, we present representation and ?X#/1X%u:  
uniqueness theorems for the fundamental measurement of fuzziness #;"D)C  
when the domain of discourse is order-dense. w0j/\XN 2s  
26. In Section 3, we describe the preliminary results of an empirical *fH_lG%  
study ,c%K)KuPK.  
currently in progress to verify the measurement model and to I' ! r  
construct membership functions. ]C ~1]7vb  
27. In Section 5 is analyzed the inference process through the two 3 IWLBc  
kinds of inference experiments... )o9Q5Lq  
This Section v"~Do+*+  
1. In this section, the characteristics and environment under which M6jp1:ZH2q  
MRP is designed are described. h^A3 0f_x  
2. We will provide in this section basic terminologies and notations ) Kc%8hBv  
which are necessary for the understanding of subsequent results. MZ5Y\-nq\  
Next Section S~k*r{?H})  
2. The next section describes the mathematics that goes into the sp=OT-Pfp  
computer implementation of such fuzzy logic statements. 1 @%B?  
3. However, it is cumbersome for this purpose and in practical N~):c2Kp<9  
applications the formulae were rearranged and simplified as *!g 24  
discussed in the next section. x*h?%egB!p  
4. The three components will be described in the next two section, 3duG.iUlL  
and an example of xx analysis of a computer information system will `k(u:yGK  
@n7t?9Bx  
then illustrate their use. ]am~aJ|L  
5. We can interpret the results of Experiments I and II as in the a#+>w5  
following sections.  -= $% {  
6. The next section summarizes the method in a from that is useful J; UBnC g  
for arguments based on xx Q PFeBl  
Summary s) Cpi  
1. This paper concludes with a discussion of future research Mlv<r=E  
consideration in section 5. I?a8h`WS+  
2. Section 5 summarizes the results of this investigation. co5y"yj_  
3. Section 5 gives the conclusions and future directions of research. F#(.v7 Za  
4. Section 7 provides a summary and a discussion of some extensions _i3i HR?  
of the paper. l80bHp=  
5. Finally, conclusions and future work are summarized V43nws "4  
6. The basic questions posed above are then discussed and E'5Ajtw;  
conclusions are drawn. 'nRp}s1^[  
7. Section 7 is the conclusion of the paper.  5kcJ  
Chapter 0. Abstract cYGRy,'gH  
1. A basic problem in the design of xx is presented by the choice of a ?75\>NiR  
xx rate for the measurement of experimental variables. )ll?-FZ   
2. This paper examines a new measure of xx in xx based on fuzzy q0&Wk"X%rr  
mathematics which overcomes the difficulties found in other xx ht?CH Uu  
measures. ||uZ bP@  
3. This paper describes a system for the analysis of the xx. _N98vf0o  
4. The method involves the construction of xx from fuzzy relations. VS?dvZ1cC  
5. The procedure is useful in analyzing how groups reach a decision. vXephR'  
6. The technique used is to employ a newly developed and versatile Fse['O ~  
xx algorithm. ,Ij=b  
7. The usefulness of xx is also considered. Dy su{rL  
8. A brief methodology used in xx is discussed. 2s 7mI'  
9. The analysis is useful in xx and xx problem. M RQZIi  
10. A model is developed for a xx analysis using fuzzy matrices. J' W}7r  
11. Algorithms to combine these estimates and produce a xx are E *BSfn&i  
HOfF"QAR$  
presented and justified. h1# S+k  
12. The use of the method is discussed and an example is given. Y)|~:& tZ  
13. Results of an experimental applications of this xx analysis <"?*zx&  
procedure are given to illustrate the proposed technique. G*B$%?n  
14. This paper analyses problems in O}QFq14<+  
15. This paper outlines the functions carried out by ... +P|2m"UA  
16. This paper includes an illustration of the ... r@iASITX  
17. This paper provides an overview and information useful for 4.8nY\_WF  
approaching >8|+%pK8<  
18. Emphasis is placed on the construction of a criterion function by `m%:rE,  
which the xx in achieving a hierarchical system of objectives are -ui< E?v  
evaluated. oU8>Llt=$  
19. The main emphasis is placed on the problem of xx $Z ]z  
20. Our proposed model is verified through experimental study. #|Oj]bd(=  
21. The experimental results reveal interesting examples of fuzzy O}C)~GU  
phases of: xx, xx Ea4_Qmn  
22. The compatibility of a project in terms of cost, and xx are likewise 4O(@'#LLz  
represented by linguistic variables. \5~;MI.Sq  
23. A didactic example is included to illustrate the computational /THnfy \  
procedure n_P3\Y|  
Chapter 1. Introduction %H& ].47  
Time DI,K(_@G  
1. Over the course of the past 30 years, .. has emerged form intuitive v0#*X5 C1'  
2. Technological revolutions have recently hit the industrial world QL97WK\$  
3. The advent of ... systems for has had a significant impact on the RPH1''*!  
4. The development of ... is explored rQJ"&CapT  
5. During the past decade, the theory of fuzzy sets has developed in a 6):Xzx,  
variety of directions y\'P3ihK  
6.The concept of xx was investigated quite intensively in recent years M4KWN'  
7. There has been a turning point in ... methodology in accordance `ZMK9f:  
with the advent of ... ]Bnwk o  
8. A major concern in ... today is to continue to improve...  )\ZzTS  
9. A xx is a latecomer in the part representation arena. 0y~<%`~  
4Po)xo  
10. At the time of this writing, there is still no standard way of xx I%"'*7 U  
11. Although a lot of effort is being spent on improving these _<zfQZai  
weaknesses, the efficient and effective method has yet to be 3A,rHYS  
developed. V*RdDF7  
12. The pioneer work can be traced to xx [1965]. ?WpenUWk  
13. To date, none of the methods developed is perfect and all are far ]]BOk  
from ready to be used in commercial systems. HjA_g0u  
Objective / Goal / Purpose A6{b?aQ  
1. The purpose of the inference engine can be outlined as follows: V&ot3- Rf  
2. The ultimate goal of the xx system is to allow the non-experts to 8K{[2O7i)  
utilize the existing knowledge in the area of manual handling of loads, yGj.)$1},@  
and to provide intelligent, computer-aided instruction for xxx. W^\d^)  
3. The paper concerns the development of a xx +f NvNbtA  
4. The scope of this research lies in @Uo6>-W F  
5. The main theme of the paper is the application of rule-based L]d-33.c!H  
decision making. T$ +-IAE  
6. These objectives are to be met with such thoroughness and |Au]1}  
confidence as to permit ... \or G63T:  
7. The objectives of the ... operations study are as follows: ycAKK?O*  
8. The primary purpose/consideration/objective of )92r{%N  
9. The ultimate goal of this concept is to provide 8K"+,s(%R  
10. The main objective of such a ... system is to r0]4=6U  
11. The aim of this paper is to provide methods to construct such }{[mrG   
probability distribution. en*d/>OVJ  
12. In order to achieve these objectives, an xx must meet the mXzrEI  
following requirements: ]J7Qgp)i  
13. In order to take advantage of their similarity iK()&TNz  
14. more research is still required before final goal of ... can be "v-(g 9(  
completed 58tVx'1y  
15. In this trial, the objective is to generate... w ej[+y-  
16. for the sake of concentrating on ... research issues 1|r,dE2k9  
17. A major goal of this report is to extend the utilization of a recently O) atNE   
developed procedure for the xx. I=DxRgt  
@A<PkpNL  
18. For an illustrative purpose, four well-known OR problems are dt}_D={Be  
studied in presence of fuzzy data: xx. a2 +~;{?g  
19. A major thrust of the paper is to discuss approaches and U_GgCI)  
strategies for structuring ..methods hr05L<?H  
20. This illustration points out the need to specify p>vU?eF  
21. The ultimate goal is both descriptive and prescriptive. ^5GW$  
22. Chapter 2. Literature Review j=?'4sF  
23. A wealth of information is to be found in the statistics literature, yifY%!@Xu  
for example, regarding xx !TM*o+;  
24. A considerable amount of research has been done .. during the #|GSQJ$F)`  
last decade gD`>Twa&6  
25. A great number of studies report on the treatment of U6E\AvbRn  
uncertainties associated with xx. FGWN}&K  
26. There is considerable amount of literature on planning HB+|WW t>  
27. However, these studies do not provide much attention to GeszgtK{T  
uncertainty in xx. ;5-r_D;9  
28. Since then, the subject has been extensively explored and it is tGA :[SP  
still under investigation as well in methodological aspects as in hpTDxh'?$C  
concrete applications. m7EcnQf  
29. Many research studies have been carried out on this topic. , Ys"W x  
30. Problem of xx draws recently more and more attention of system ~x#w<0e>  
analysis. HK\~Qnq  
31. Attempts to resolve this dilemma have resulted in the .itw04Uru  
development of H~ZV *[A`  
32. Many complex processes unfortunately, do not yield to this Y!iZW  
design procedure and have, therefore, not yet been automated. }_=eT]  
33. Most of the methods developed so far are deterministic and /or ~{sG| ;/!*  
probabilistic in nature. Bqma\1cgb  
34. The central issue in all these studies is to -*5Rnx|Y{  
35. The problem of xx has been studied by other investigators, bR@p<;G|  
however, these studies have been based upon classical statistical Z{&cuo.@<]  
approaches. c'/l,k  
36. Applied ... techniques to __mF ?m  
37. Characterized the ... system as \%UkSO\nO3  
87hq{tTs]  
38. Developed an algorithm to vfVj=DYj  
39. Developed a system called ... which 9tF9T\jW  
40. Uses an iterative algorithm to deduce %|s+jeUDn|  
41. Emphasized the need to %iV^S !e  
42. Identifies six key issues surrounding high technology }&_/ PA0j  
43. A comprehensive study of the... has been undertaken cnTaJ/o  
44. Much work has been reported recently in these filed I`NjqyTW  
45. Proposed/Presented/State that/Described/Illustrated/ ~69&6C1Ch  
Indicated/Has shown / showed/Address/Highlights ZP{*.]Qu  
46. Point out that the problem of `OSN\"\ad  
47. A study on ...was done / developed by [] v:H$<~)E|  
48. Previous work, such as [] and [], deal only with 6}r`/?"A1  
49. The approach taken by [] is Gz .|]:1  
50. The system developed by [] consists UX7t`l2R  
51. A paper relevant to this research was published by [] F$)[kP,wtO  
52. []'s model requires consideration of... om1e Qp0N  
53. []' model draws attention to evolution in human development ~3<> 3p  
54. []'s model focuses on... .9wk@C(Eh_  
55. Little research has been conducted in applying ... to ;+"+3  
56. The published information that is relevant to this research... %7|9sQ:  
57. This study further shows that u?C#4  
58. Their work is based on the principle of WlU0:(d  
59. More history of ... can be found in xx et al. [1979]. Zu7)gf  
60. Studies have been completed to established .[_L=_.  
61. The ...studies indicated that v/_  
62. Though application of xx in the filed of xx has proliferated in \ kZ?  
recent years, effort in analyzing xx, especially xx, is lacking. ff^=Ruf$  
Problem / Issue / Question `EaLGzw  
63. Unfortunately, real-world engineering problems such as E 7{U |\  
manufacturing planning do not fit well with this narrowly defined ~A\GT$  
model. They tend to span broad activities and require consideration uLV#SQ=bZN  
of multiple aspects. nlc "c5;jh  
64. Remedy / solve / alleviate these problems $&n=$C&x  
67. ... is a difficult problem, yet to be adequately resolved [1S|dc>.O%  
)P sY($ &  
68. Two major problems have yet to be addressed lN Yt`xp  
69. An unanswered question %lGl,me H  
70. This problem in essence involves using x to obtain a solution. r97pOs#5:  
71. An additional research issue to be tackled is .... oG_~q w|h  
72. Some important issues in developing a ... system are discussed %WjXg:R  
73. The three prime issues can be summarized: C&(N I  
74. The situation leads to the problem of how to determine the ... |IzPgC  
75. There have been many attempts to ;@oN s-  
76. It is expected to be serious barrier to v bZ}Z3f_  
77. It offers a simple solution in a limited domain for a complex 3` DQo%<  
problem. ?Lk)gO^C  
1. There are several ways to get around this problem. V2wb%;q  
2. As difficult as it seems to be, xx is by no means new. [M=7M}f;  
3. The problem is to recognize xx from a design representation. !$gR{XH$]  
4. A xx problem can trace its roots to xx. AP 2_MV4W  
5. xx [1987] used a heuristic approach to simplify the complexity of !Dn,^  
the problem. <Z mg#  
6. Several problems are associated with them. V_.5b&@  
7. Although some progress has been made in this area, at least two #lL^?|M  
major obstacles must be overcome before a fully automated system ,is3&9  
can be realized. X^wt3<Kbf  
8. Most problems in practice are complicated 3 /g~A{  
9. More problem surface here. 2DrP"iGq5  
10. Hamper effort toward a xx system 7x|9n  
11. In order to overcome the limitations due to incomplete and dy%;W%  
imprecise xx knowledge, a xx program has been developed, which *&^Pj%DX  
bases its knowledge upon the statistical analysis of a sample 84& $^lNV  
population of xx ct Z uA+  
12. The above difficulties are real challenges faced by researchers m$>H u@Va  
attempting to develop "c%0P"u  
13. This type of mapping raises no controversy to the issue of |6sp/38#p  
membership function determination. 823Y\x~>  
14. However, attempts to quantify the xx have met both theoretical \kL 3.W_  
and empirical problems. %rL.|q9  
O`IQ(,yef  
15. It has become apparent that in order to apply this new [Kg+^N% +  
methodological framework to real-world problems and data, we have > PRFWO  
to pay attention to the problems of xx and xx. q$d>(vb q  
Chapter 3. Proposed methodology z% ?+AM)P  
Assumption _$E6P^AQ  
1. In the case when the assumption of a xx seems to be too \h/H#j ZJ  
restrictive or inadequate, the formulation with Fuzzy termination y@S$^jk.  
time, i.e. given by a fuzzy set in the space of control stages, may be A4x]Qh3OO  
applied. tKOmoC  
2. We assume here the fuzzy constraints to be state-dependent, and _}Ac n$  
the fuzzy goal to be the same for all the control states, xx, which DN>[\hg  
stems from the problem's nature. g*AWE,%=|  
3. An approach to the solution of this problem is presented under the L\J;J%fz.  
assumption that the sampling rate Decision can be made prior to the ~g]Vw4pv  
execution of the experiment, as opposed to being made while the me$Z~/Akm  
experiment is in progress. cA?W7D  
4. Another assumption made above is that there are precise odds at I5 p ? [  
which the expert is indifferent. Qz1E 2yJ  
5. Main simplifying assumptions are:  ?(1 y  
6. This, in our view, is a questionable assumption. &jJL"gq"  
Outline / Structure / Module y'q$ |  
1. An outline of the research !c Hum  
2. Information is incorporated within the scheme q6luUx,@m  
3. Is built into ... structure kS);xA8s]  
4. A nice modular structure. b{&)6M)zo  
5. The principles of ... are applied as modularized criteria d7;um<%zn  
Classification cOJo3p;&  
1. A xx system comprises three main components:  NH4#  
2. Must decompose the original .. into a set of .. gPI ?C76  
3. Consists of the following steps: +mj y<~\  
4. This is summarized in the following steps: QA `sx  
YK'<NE3 4  
5. Can be broadly classified into the following areas: .|70;  
6. Can be characterized by its function of effectively processing the zwjgE 6  
7. Can allow further breadth of application of ...into more )7Wf@@R'F  
8. The following steps should be followed vpr.Hn  
9. xx can be classified by a different ways. FcU SE  
10. Based on the xx, one may classify xx into the following: hL{KRRf>  
11. This catalog may change due to wear, breakage, and purchasing. ;*Et[}3  
System ^}o2  
1. Unlike many conventional program, expert systems do not ~B?y{  
usually deal with problem for which there is clearly a right or wrong Ve; n}mJ?  
answer. (hbyEQhF  
2. The system consists of both ... and ... VY4yS*y  
3. The system has a hierarchical modular architecture organized on aEeodA<(  
three levels. %7.30CA|#  
4. expert system domains are area of expertise bROLOf4S  
5. To develop a xx system for xx, the following factors must be  x'<X!gw  
considered: ?Z/ V~,  
6. The system has been developed / designed to determine rg!r[1c  
7. The system has proven to be able to 0x@ mZ  
8. The domain in which an expert system operates is a particular %IWPM"  
domain ^<2p~h0 \  
9. The system comprises a ... with &V/Mmm T  
10. The system is [feature-oriented ] / based on the ... technique M .mfw#*  
11. The system environment must be relatively stable EaN6^S=  
12. The system is utilized to generate, load, store, update and  r;N|)  
retrieve ... yY q,*<G  
13. The development of a xx system has two stages: xx stage and xx SO!8Di  
stage. 0@oJFJrO  
14. The most essential part of .. system is the ... 4,DeHJjAlE  
15. The successful developments in ESs have made them an Lp9E:D->  
important tool in the development of &F~T-i>X  
16. An automated system was developed for Q*Pq{]0K  
17. In this case, the system can be considered to be generative. cbTm'}R(G  
5=ryDrx   
18. An interactive automatic ... system Y}wyw8g/  
19. A …. is commonly thought of as a truly integrated .. system 5r ^ (P  
20. Should be capable of being generated from a ... system c]!V'#U  
21. xx is an important part of the integrated system. nU7[c| =  
22. The model consists of four rule bases, each of which addresses a Y.p;1"  
separate problem in the hierarchy of scheduling decision. qIT@g"%}t  
23. The rule bases are linked to each other in a chin-like manner in CpT jJXb  
the sense that the consequent of one rule base constitutes a part of r9?Mw06Wc5  
the antecedent of the next rule base. Jln:`!#fDf  
24. The rule base consists of all possible combinations of the TB31- ()  
linguistic terms associated with the linguistic variable of the  [Y`W  
antecedent of a rule. 493*{  
Computer System hM! a_'  
1. The system has been implemented using Prolog language in an =7UsVn#o  
MS-DOS environment. Prolog was chosen because it offers a well 2GG2jky{/  
known and flexible environment in which fuzzy reasoning may be VUuE T  
easily implemented. gs`q6 f%(  
2. The current version of the xx program when compiled with Tp2.VIoQ=  
WATFOR77 results in an executable code of about 270K bytes. J<lW<:!3]  
Typical run time, when run on a XX computer (an IBM compatible gjlx~.0d  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min {{!-Gr  
to 2h, depending on the size (or complexity) of the problem. c &c@M$  
3. Time consuming procedures have been implemented in 0> \sQ,T  
C-language and directly linked to the Prolog environment. #O&8A  
4. The xx process, once the xx's data has been entered, requires /x *3}oI  
approximately 180 seconds. DHRlWQox  
5. It should be noted that the computation was done with a 20 Hhz, f6p/5]=J26  
80386..209;based microcomputer equipped with a 80387 math @ N m@]q  
co-processor. B#R|*g:x  
6. The computer programs used for the analyses, one based on the xx N$tGQ@  
method and the other based on the new method, were written in J . <F"r>  
FORTRAN with a compiler that supports the math co-processor. w32y3~  
7. Lisp, Prolog give maximum flexibility but also maximizes fN2lLn9/u  
 L"aeG  
development time. bI`g|v  
l Internal representation is the way a model is represented in the 6S{l' !s'  
computer. s#GLJl\E_P  
l An interactive menu-driven procedure is used in this study d_ P` qA  
l Shell can be develop very fast at the cost of time fairly severe hqdDm  
limitations. [fy LV`  
l While there is no measurable saving of time for the case involving Tj- s4x  
five criteria, the saving is dramatic for the case involving 10 criteria @}ZVtrz  
-- the computation time reduces from 10 hr 40 min to about 1 min. *NQ/UXE  
l This combination is being implemented in an objected-oriented v` r:=K  
programming environment (Smalltalk-80 system) to solve problems .S4 u-  
encountered in construction xxx. KY^Z  
Method / Approach / Study / Process Model / Equation /Algorithm / 2Z%O7V~u  
Rule / Formula / Technique E(|>Ddv B&  
l A discussion is presented of a problem-solving system t`QENXA}  
l To improve the efficiency of the method, the following approach P'rb%W  
may be applied. ~Q VH<`sn  
l In order to an investigation was made to find the causes of the !_(Tqyg&  
l Although large collections of rules and equations have been A%-6`>  
complied, none are generally accepted BJ0?kX@  
l This approach will be explained and discussed thoroughly in the 048kPXm`  
body of the report. Hx:;@_g q  
l This can be accomplished by $od7;%  
l This algorithm to compute the total cost can be described step by x)VJFuqy  
step as follows: DTs;{c  
l The above preliminary analysis has provided important B erwI 7!=  
information tMe~vq[  
l Various methods have been proposed for selecting an optimum... L%5%T;0'~  
l These concepts have been applied to t g/H2p^Y  
l On the basis of the concept mentioned above, h7@6T+#WoT  
l This can be achieved by B-ESFATc  
l This fact suggests that a new concept DL.!G  
l This was accomplished by taking ... _XT pU  
-^wl>}#*T3  
l The preparatory stage is very time consuming process. LHmZxi?  
l Test are performed for validity, completeness, and compatibility  C.QO#b  
l There is little hope of achieving successful ... mcok/,/  
l There has been an increasing awareness of the potential of using qY#6SO`_iy  
most ..so far made have not taken this approach, with the exception 4/)k)gLI  
of RT5T1K08I  
l Only a few studies can be found. (I}v[W  
l It is a very tedious process to go through ,2)6s\]/b  
l It is only when .. has been completed that .. may be effected )_NO4`ejs/  
l The entire interpretation process is conducted in one's head. Vq2$'lY  
l These approaches are sometimes very tedious. &-=5Xc+Z  
l Several techniques can be used s<o7!!c  
l A polynomial parametric model can be written as [the Xry4 7a )  
following]/[follows]: l@:0e]8|o  
l A xx model is constructed/formulated using xx. PxE3K-S)G  
l A xx model represents an xx by its xx. 9k=3u;$v  
l A process decision model captures the logic essential to :j`s r  
l From the equation above, xx is equal to the summation of xx o`RKXfCq  
times the ... 6`-jPR  
l The validity of a xx model can be checked using Euler's formula. bYPKh  
l Given a model, one can mathematically determine whether ... or ... .>nRzgo  
l Equations for xx need to be derived and implemented in the ],v=]+R  
system. s|ITsz0,td  
l A number of heuristic rules have been developed for xP,hTE  
l Optimum .. techniques can be made more reliable by ... so that V470C@  
l An algorithm based on the characteristic ... is used to determine Xs?o{]Fe  
l Euler's formula states the following: C'X!\}f.b/  
l The completed model should agree with the formula. }iuw5dik+  
l For manufacturing purposes, a detailed and precise model of the 40<mrVl  
object is necessary IaXeRq?<  
l Engineering design models are very well defined; therefore, tnG# IU *  
l To keep the domain narrow enough to be implementable, yet wide {.\TtE  
enough to - D$8  
be useful. #1G:lhkC  
>e"#'K0?\  
Point of View DDH:)=;z  
l from an implementation standpoint, Wiu"k%Qsh  
l From the point of view of this application, ( J!+(H 8  
l From this point of view, Zadeh suggested an inference rule named [zM- ^  
xxx (CRI for short). k)Qtfj}uij  
l Information is the meaningful interpretation and correlation of :Z z '1C  
some aggregation of data in order to allow one to make decisions. ( ICd}  
l From a practical point of view, the computational aspects of an }U9G    
FLC require a simplification of the fuzzy control algorithm. (=@h23 vH  
l The use of a hammer to insert screws, although partly effective, NTI+  
tends to distort, destroy, and generally defeat the purpose of using a H+Sz=tg5  
screw [Kusiak AI Implications for CIM p.129] .h4 \Y A  
Justification ]wG{!0pl  
l We choose the so called xx in our experiment because it has 4Wm@W E  
received wide acceptance and can >s?S+W[L  
l Prolog was chosen because it offers a well known and flexible 2V;PYI  
environment in which fuzzy reasoning may be easily implemented. ';=O 0)u  
l The rationale behind this is that it can be much easier for an e;}7G  
estimator to rate a cost as high than to attempt to place a dollar nK%LRcAs  
value on the estimate. 4Ic*9t3  
l This strategy has been widely used in fuzzy control applications [^98fAlz6  
since it is natural and easy to implement. }2<7%FL  
l A function definition expresses the membership function of a d,n 'n  
fuzzy set in a functional form, typically a bell-shaped function, etc. Y\?"WGL)p  
Such functions are used in FLC because they lead themselves to @wNG{Stj  
manipulation through the use of fuzzy arithmetic. 9e,0\J  
l It should be noted that in our daily life most of the information on h'&%>Q 2  
which our decisions are based is linguistic rather than numerical in oEKvl3Hz_  
nature. Seen in this perspective, fuzzy control rules provide a natural #Kex vP&*  
framework for the characterization of human behavior and decisions 6.nCV 0xA  
analysis. <+vw@M  
l Many experts have found that fuzzy control rules provide a O*)Vhw'pK  
y''z5['  
convenient way to express their domain knowledge. This explains &H/'rd0M  
why most FLCs are based on the knowledge and experience which iN8zo:&Z  
are expressed in the language of fuzzy "if-the" rule. xH"/1g  
Chapter 4. Examples Fgh_9S9J  
Example/ Data B; h"lv  
l The data used in the following example was taken from an 9c,'k#k  
experiment in which xx was measured between x and x using a xx mQ 26K~  
technique. +V046goX W  
l The data consists of over xx measurements. Hp!-248S  
l An example of xx is discussed and the control rules of xx are !1 H# 6  
compared with a xx 0 e ~JMUb  
l Examples of complex processes to which this technique may be EF}\brD1  
applied are xx, xx, etc. Y}|X|!0x  
l The following example is constructed only for the purpose of CiLg]va   
illustrating the computational procedure discussed. F]]]y5t  
l This example clearly demonstrates that the profile of an individual [<6^qla  
xx, or a very small group of xx, with no enough data to be studied VfC<WVYiZ  
statistically, can be meaningfully analyzed by fuzzy possibilistic ][h%UrV  
methods. $f=J2&D,Cz  
l There is no space here to go into detail on all these methods, but s.N/2F& *W  
deserve a mention and the bibliography will point to detailed q{I%Q)t)gU  
references for those wishing this level of detail. Ed,~1GanY  
l Note that the golf ball spotting example is used throughout the 1&evG-#<:  
paper. u jq=F  
Comparisons Eo g0TQ+*  
l As well, the pros and cons of these representations from a process {9;CNsd  
planning point of view will be discussed. wyj{zWRJp  
l The method of using xx to implement xx described by Zadeh ,nLy4T&"  
(1973) appeared more suitable %D}kD6=  
l As discussed [in the previous section]/[preciously], {V$|3m>:*  
JG!mc7  
Relation O SWYGnZg  
l We can not invert F' directly because it defines a many-to-one w/S%YW3*  
mapping. %.Fi4}+O  
l The relationships appear very complicate w QH<gJE/:  
l Lifting tasks involve complex and imprecise relationship between [.'|_l  
the task variables and the human operator's characteristics. 3<Zq ]jk?n  
l These methods are based on the relationship between ... and ... 1s2>C!\  
l The fundamental concept of a fuzzy rating language is that we can # 448-8x  
establish a relationship among terms such as high, medium, and low, '}JhzKNj  
and then modify these relationships. B=yqW  
l This article will thus mention the latter as well as the former. DV+xg3\(>1  
l The former two bear a close relation to a fuzzy Cartesian product. O=&0H|B  
Importance fc%xS7&  
l The emphasis is on an implementation of a general approach to dTC7Fm  
rule based decision making. 7he,?T)vD  
Consideration / Attention $L>@Ed<  
l Careful evaluation is necessary to ensure +0%w ;'9z  
l Such a formulation does not change further considerations. _ Yx]_Y9I  
l Considerable attention has been paid to i]y<|W)Q3  
l Attention should be paid to an important finding of this k\YG^I  
investigation. *_{j=sd  
l Caution should be exercised in this process to avoid ... |zNX=mAV  
l Primary consideration is given to ... components, though others P *Uwg&Qz)  
can be accommodated GT!M[*[  
l After ... has been defined by ..., a carefully analysis is carried /y#f3r+*2  
out/performed to determine f ue( UMF~  
l A number of factors such as ...need to be taken into consideration dA`IEQJL  
before making the appropriate decision. } FlT%>Gw  
l It should be noted that -.@r#d/  
l It is important to point out that ... e&F8m%t  
l These considerations have heightened interest in the possibility of 5 +YH.4R  
providing ... n QtWvT  
eKLZt%=  
l We should stress the fundamental importance of the xx |'8Nh  
Chapter 5. Results. c|B('3h  
Advantages / Disadvantage 4 Y9`IgQ  
l One of the major advantages of this new measure of xx is that it |`,2ri*5A  
can be applied to the experimental study of ufZDF=$7  
l One advantage of using a .. is the ease of preparing it. j'<<4.(  
l The xx system is versatile FZ<gpIv!NS  
l It has a very fast decision making process o. g V4%  
l All the algorithms involve mostly logical operations. T|op$ s|  
l It can be easily and without additional cost implemented in a Y%aCMP9j~9  
microprocessor-based environment. ~i{(<.he  
l It can reduce the waste of designing from scratch. !bx;Ta.  
l The advantages of using a xx to represent xx are the following: .x.]`b(  
l However, xx is not without its shortcomings. Al^d$FaF  
l In most cases, the xxx shows an improvement over the existing {n.PF8A5X  
xxx. 9Cp-qA%t  
l Compared to the existing xx, the impacts of the xx are generally S-b/S5  
reduced by 5% to 9%. w\u=)3qyVV  
l The "best case" results shows a savings of 6% to 9%. cN6 X#D  
l Most of the existing works based on xx approach can only 9c'xHO`  
recognize a xx . CL;}IBd a  
l Most of the above methods are computational expansive and JPUW6e07o  
limited to xx. 8z`G,qh  
l Some other advantages of xx are the following: V>LwqS~`  
l The problem is the limitation of this method to a limited domain of 'n]w"]|  
parts. F6|]4H.3Q  
l It proved limited in application because it demanded precision in EU;9 *W<  
system modeling that was impossible in practice. (@VMH !3  
l There are advantages to be gained in the structuring of costs and GPudaF{  
benefits, the use of xx, MYvY]Jx3  
l The disadvantages of this method are also disadvantages of yYYSeH  
conventional xx approaches. 7"x;~X  
iB yf{I>+  
l This combines the best features of both techniques wo/\]5  
l Hopefully, this tool can be as the reference framework of for [kB7@o  
developing a xx platform, and helping the administration, marketing, ! E5HN :#  
and knowledge management activities in virtual communities. ,PW'#U:  
Results P>D)7 V9Hh  
l An improvement on the result shown above can be made by based Sy_G,+$\  
on the data provided o[w:1q7  
l Discussion of these theories is beyond the scope of this review CwzZ8.o$i  
l Based on the information contained in this ie95rZp  
l The result can be categorized into nine classes P|E| $)m  
l The results are illustrated by an example FVbb2Y?R  
l The experimental results for each xx time are reported in Table 2. s^9Voi.y  
l From the results obtained so far, it seem that G~[x 3L'  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn &wawr2)}  
as xm~`7~nFR  
l Although much effort has been made to., this reality is far from |SSSH  
completion. T3<4B!UB&  
l The results indicate that the total benefits are higher than the xLajso1g69  
total costs. l|[N42+  
l Their results may then serve as guidelines for lower level models, WE#^a6  
less fuzzy and more detailed. f'RX6$}\1X  
Chapter 6. Conclusion Dm l;#'IF3  
l From the discussion, one may conclude that ... G~a ZJ,  
l Form the above discussion, the conclusion can be reached that JXQO~zj  
l The conclusions drawn are also valid N>`Aw^ _@&  
l In conclusion to this, it becomes obvious that the problem of xx &r /Mi%  
lies not only in... V f&zL Sgr  
l We have attempted to introduce some concepts associated with a sl l\g  
theory of ="H`V V_  
xx based on fuzzy sets. 4p F*"B  
l Considerable more work, hopefully, will be done in this area %sP*=5?vA  
l A fuzzy set procedure is proposed to solve xx selection problems ]%H`_8<gc  
tDcT%D {:  
interwoven with imprecise data h438`  
l Employing the compositional rule of inference, the assessment of C< tl/NC  
the xx compatibility in achieving prescribed xx projectiles in any p]TAELy  
level of the hierarchy is made possible. 2/^3WY1U  
l This paper has presented a theoretical and experimental study of ouQ T  
the xx process and xx concept. ~36!?&eA8  
l The experimental research results will hopefully serve as useful {;1\+ f  
feedback information for improvements for xx work. 0{D'n@veP  
l The scope of this contribution was to introduce a xx method. k4J+J.|  
l In general, fuzzy sets theory provides an alternative foundation gwMNYMI  
for xx analysis in a fuzzy environment. ZY+qA   
Future Research <]2wn  
l Thus, first extension of the approach could be, ,f>k%_U}  
l Present some cues for a further approach from Fuzzy Sets Theory *GPiOA a  
application to Y$_B1_  
l Some improvements to the scheduling aspect of the model may 0GeTS Fj  
be brought through additional levels in the hierarchy for more 8l`*]1.W<  
detailed representation of the scheduling activity. VTE .^EK!  
Tables and Figures 7!E,V:bt'  
l Figure 7-1 sketches these relationships. zrb}_  
l The graphical representation of these functions is shown in Figure O\ r0bUPE  
1. kxv1Hn"`{E  
l The xx may be depicted as in Figure 1. 7 kE n \  
l Figure x shows the schematic diagram of the c^W)07-X5y  
l Figure 1 though 2 provide a ... that j#ab_3xH  
l the architecture of this expert system for .... is illustrated in Figure G 3ptx! D  
2. s$j,9uRr  
l Figure 2 gives the outline of an ... system YT,{E,U;  
l Table shows the O=7CMbS3  
l as shown in Table 1 and 2 K-Ef%a2#`  
l This concept is illustrated in Figure 2 abVmkdP_s  
l At the top of Table xx are shown two blocks of data. (tW`=]z-<  
$ I?"lky  
l Each table or matrix has constructs xx through xx as OjA,]Gv6  
row-headings, Ny/MJ#Lq  
xx through xx as column-headings. ;O,jUiQ  
l A table of .. is developed and significant recommendations are @H8EWTZ  
made. JucY[`|JV  
CONJUGATION <#4h}_xA%  
To Indicate Addition $*m-R*kt  
l additionally, again, also, and then, as can be easily understood, A=0'Ks  
besides, equally important, especially, finally, for the same reason, MolgwVd  
first, further, furthermore, in addition, last, likewise, moreover, next, N'=gep0V@  
second, third, too, evidently, obviously, roughly speaking, broadly klhtKp_p  
speaking _@/8gPT*i  
To Indicate Cause and Effect aw>#P   
l accordingly, as a result, consequently, for this reason, hence, in HxI" 8A  
short, otherwise, then, therefore, thus, truly /qw.p#  
To indicate Comparison C7AUsYM  
l in a like manner, likewise, similarly , alternatively wz8yD8M  
To Indicate Concession NGWxN8P6  
l after all, although this may be true, at the same time, even though, v &+R^iLE  
even so , I admit, naturally, of course a' IdYW0  
To Indicate Contrast teVM*-  
l and yet, at the same time, but, for all that, however, yet, in fact, in ?bu>r=oIO]  
contrast, in the real life, in spite of, nevertheless, notwithstanding, HpnWo DM  
normally, on the contrary, on the other hand, still, traditionally, !f6 (Zho  
rather, unfortunately, sx<%2  
To Indicate Time Relationships: .%QXzIa3F  
after a short time, afterwards, as indicated earlier, as long as, as soon WjqO@]P6  
@\I#^X5lv  
as, at last, at length, at the moment, at that time, at the same time, 5/z/>D;  
before, earlier, currently, immediately, in the meantime, in recent 0qT%!ku&  
years, lately, later, meanwhile, often, of late, presently, recently, & ZB  
soon, shortly, since, thereupon, temporarily, therefore, until, when, b>9>uC@J15  
while kO-(~];  
To Indicate Special Features or Examples: ~^b/(  
for example, for instance, incidentally, indeed, in fact, in other words, ItTz.sQ  
in particular, in practice, specifically, that is, to illustrate, in this CVR3 A'  
respect, theoretically, as mentioned before / above @ur+;IK$  
To Indicate Summary: sUm'  
in brief, in conclusion, in short, in summary, on the whole, to j 1HW._G  
conclude kz7(Z 'pw  
, in general, to summarize, to sum up, as a result, ultimately, Oz#{S:24M+  
VERB PHASE !$>R j  
l build a .. model k.15CA`  
l build up the key link ]]j;/TiG  
l began a new era in ... y$R_.KbO  
l can be regarded as / achieved / used to/for / found / obtained m9}P9 ?  
through *G 9V'9  
l can result in $]2vvr  
l carries out ... tasks R_S.tT!  
l production information in order to simultaneously mUx+Y]Ep  
l contains all information necessary to describe '>C5-R:O  
l do not make use of production information ZWp(GC1NA  
l deals with t.\dpBq  
l end with failure YkQd  
l fetch the information from the model directly (0kK_k'T  
l has great potential / yet to be resolved / spurred the Tkgs]q79  
development of / 42ivT_H  
been recognized as QUQ'3  
l BE aimed at / built up / carried out by / essentially concerned Tc3yS(aq  
WvZ8/T'x  
with / considered to be the key technology / associated with each 4tmAzD  
feature of a compo delu1r  
site component / cable of / currently implemented for / 4x[S\,20  
demonstrated by an example / finally reached / made equal to / ZO$%[ ftb  
equivalent to / more suitable to / oriented to / interpreted as / R]*K:~DM  
pointed out / potentially of great benefit in the complex task of / [0D .K}7|  
shown in / used to effectively guide the search @cB$iP=Z4  
l makes use of i&GH/y  
l make up %sQ^.` 2  
l meets the needs of real life production,/ the current demands RhLVg~x  
placed upon it fPW@{~t  
l must be justified 'F#KM1s  
l point out mUF,@>o  
l play an important role UFb )AnK  
l relates to x5*!Wx   
l rely on PBkt~=j  
l satisfy the needs }Y36C.@H  
l determine the total requirements for the ... )U{Qj5W+F  
l uses ... as a key to search for... SQt 4v"  
l without relying on Pw!MS5=r  
l will be available/ performed/ overlooked #" iu| D  
NOUN PHASE r<Kx0`y  
l a basic technical function of .];=Pu^  
l a critical need `~CQU  
l a key / principle feature of qR+!l(  
l a substantial impact on YcK|.Mq':  
l an intensive review was conducted F;0}x;:>  
l an increasing need for expanding the application of .... :yjKL^G>  
l an important component / function / aspect / issue ?R.j^ S^  
l each rule is numbered in sequence pOG1jI5<{8  
l each of these involves 2Ny"O.0h  
l for this calculation, it is necessary to define M,mvys$  
l in the physical environment / integration of HYSIN^<oy  
eb"5-  0  
l in the reality of situations where … V~;1IQd{  
l many aspects of T\ >a!  
l most past efforts have been spent on ... dP]\Jo=Yh  
l common sense to a well studied and documented technical field. &t:Gx<]  
l sources of additional information on ... are listed x-.?HS [  
l systematic and rationally structured format eu|;eP-+d  
l the basis on which a range of ...operations can be established is !.(P~j][  
shown 8::$AQL3  
l THE basic philosophy / principles of / key element / general  l(tOe  
hypothesis / candidate list of / concept of ... has attracted wide #O} ,`[<  
interest / function is concerned with / heart / impact / nature / role ly_HWuFJ3  
/ task of / kernel functions Bj-: #P@  
l the number of parts needed to 2OR{[L*  
l the above statement means that T\j{Bi5 \J  
l the output data is passed to q0R -7O(  
l the proposed method / underlying principle ?FF4zI~  
l the recommendations made in this report, if implemented, should mtmjZP(w   
l this information resides in 3L}!RB  
l this process is composed of ... different ... operation k=JrLfD4  
l along with the use of ={d>iB yq  
l concerning general aspects of 8sM|%<$=j  
l due to (UvM@]B  
l for later use in generating..., @ H7d_S  
l in turn, ,UGRrS  
l IT IS believed / noted / assumed / suggested / shown / quite %Iv,@}kvT+  
evident / appears / implies that / intended for / of no important to :AF =<X*5  
l it can be claimed/concluded that y t =3sq  
l it demonstrates the decisions required of se>8Z4  
l it also provides information to .. Za3]d+q m  
l it becomes essential to :xv!N*Le  
l let ... be the probability that fS[,vPl  
l once... is written, it is compiled into... *|>d  
l suppose it is observed that 2ZMb<b4H  
l this is because pU%n]]qF  
> BY&,4r  
l this results in a n vJf/90$  
l upon completion of the ... analysis, KgiJUO`PR  
l when the knowledge is of mathematics or quantum physics, it will f~y%%+{p  
also be t2I5hSf  
recorded in books and papers m)v"3ib  
l selection of rules for using the tools, for generating operation Ba*,-i3ZK  
plans, P&)xz7wG  
is another matter of preference, since practice varies greatly. 6)-X  
l for the sake of convenience o( RG-$  
l correct decision to be reach CBOi`bEf  
l keeping the number of rules to a minimum. ;8*`{F[  
l a good process plan will result exhibiting several characteristics: P'*)\faw  
l practical solutions K[Kh&`T  
l because of rather small job lot sizes X;B\Kj`n  
l Backward reasoning can be used to answer the question "should i2YuOV!  
milling tool be select" different level of knowledge in the realm of 7X q,z  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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