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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 4Z)4WGp!  
0SpB 2>_  
Xj?Wvt  
Beginning "EW8ll7r  
1. In this paper, we focus on the need for D) *   
2. This paper proceeds as follow. Ht`fC|E  
3. The structure of the paper is as follows. ~f QrH%@  
4. In this paper, we shall first briefly introduce fuzzy sets and related C*`WMP*  
concepts ?2<QoS  
5. To begin with we will provide a brief background on the %V_ XY+o  
Introduction 5C w( 4.  
1. This will be followed by a description of the fuzzy nature of the uH_KOiF  
problem and a detailed presentation of how the required z%&FLdXgW+  
membership functions are defined. AR"2?2<mJ7  
2. Details on xx and xx are discussed in later sections. F)P:lvp<r  
3. In the next section, after a statement of the basic problem, various b3N IFKw  
situations involving possibility knowledge are investigated: first, an [i.@q}c~E  
entirely possibility model is proposed; then the cases of a fuzzy  t]c<HDCK  
service time with stochastic arrivals and non-fuzzy service rule is tX*@r  
studied; lastly, fuzzy service rule are considered. s5,@=(,  
Review X)g X9DA  
1. This review is followed by an introduction. ]+lT*6P*  
2. A brief summary of some of the relevant concepts in xxx and xxx is =fSTncq  
presented in Section 2. j/v>,MM  
3. In the next section, a brief review of the .... is given. o:8ns m  
4. In the next section, a short review of ... is given with special regard !~^2Mu(X  
to ... b"g^Jm! j  
5. Section 2 reviews relevant research related to xx. >=k7#av  
6. Section 1.1 briefly surveys the motivation for a methodology of e\)%<G5  
action, while 1.2 looks at the difficulties posed by the complexity of 2%/F`_XbP  
systems and outlines the need for development of possibility ;NP-tA)  
methods. )Rr6@o  
Body ]t[%.^5#  
1. Section 1 defines the notion of robustness, and argues for its Rsx6vF8]5  
NT6jwK.?)?  
importance. 97c0bgI!+  
2. Section 1 devoted to the basic aspects of the FLC decision-making YB*)&@yx  
logic. 6Dd>ex!-A  
3. Section 2 gives the background of the problem which includes xxx F"Dr(V  
4. Section 2 discusses some problems with and approaches to, Y58H.P  
natural language understanding. XR aGV~  
5. Section 2 explains how flexibility which often ... can be expressed .]9`eGVWj  
in terms of fuzzy time-window % :G78.  
6. Section 3 discusses the aspects of fuzzy set theory that are used in BDt$s( \  
the ... lU 9o"2  
7. Section 3 describes the system itself in a general way, including Y] 1U1 08  
the ….. and also discusses how to evaluate system performance. B"v*[p?  
8. Section 3 describes a new measure of xx. n3e,vP? R  
9. Section 3 demonstrates the use of fuzzy possibility theory in the ;apLMMsWC  
analysis of xx. AB $N`+&  
10. Section 3 is a fine description of fuzzy formulation of human tFcQ.1  
decision. /}u:N:HA%  
11. Section 3 is developed to the modeling and processing of fuzzy II^Rp],>  
decision rules 6I[*p0j5  
12. The main idea of the FLC is described in Section 3 while Section 4 dC<%D'L*  
describes the xx strategies. U["<f`z4\  
13. Section 3 and 4 show experimental studies for verifying the )t~ad]oM  
proposed model. $d1ow#ROgy  
14. Section 4 discusses a previous fuzzy set-based approach to cost /{({f?k<\/  
variance investigation. YBY;$&9  
15. Section 4 gives a specific example of xxx. oVqx)@$K  
16. Section 4 is the experimental study to make a fuzzy model of :qS~"@?<  
memory process. +:m)BLA4l  
17. Section 4 contains a discussion of the implication of the results of /XG7M=A$o  
Section 2 and 3. &tkPZ*}#1  
18. Section 4 applies this fuzzy measure to the analysis of xx and 6oKlr,.  
illustrate its use on experimental data. ko.% @Y(=  
19. Section 5 presents the primary results of the paper: a fuzzy set 0gyvRM@ x[  
model .. j %M Y6"  
/&?ei*z  
20. Section 5 contains some conclusions plus some ideas for further ~#EXb?#uS  
work. D _\HX9  
21. Section 6 illustrates the model with an example. 0?R$>=u  
22. Various ways of justification and the reasons for their choice are G>Bgw>#_  
discussed very briefly in Section 2. YTgT2w  
23. In Section 2 are presented the block diagram expression of a E.'6p \  
whole model qoan<z7  
of human DM system .&=\ *cZc  
24. In Section 2 we shall list a collection of basic assumptions which <q MX,h2  
a ... scheme must satisfy. i(u zb<  
25. In Section 2 of this paper, we present representation and @8YuMD;  
uniqueness theorems for the fundamental measurement of fuzziness YU87l  
when the domain of discourse is order-dense. (^=kV?<  
26. In Section 3, we describe the preliminary results of an empirical Pi&\GMzd  
study v@X[0J_8  
currently in progress to verify the measurement model and to oOQan  
construct membership functions. { F0"U=  
27. In Section 5 is analyzed the inference process through the two e mq%" ;.  
kinds of inference experiments... Xp^>SSt:4  
This Section yC }x6xG  
1. In this section, the characteristics and environment under which ~O~we  
MRP is designed are described. ?$7$# DX  
2. We will provide in this section basic terminologies and notations F fzY3r+   
which are necessary for the understanding of subsequent results. P.|g4EdND  
Next Section zpcm`z  
2. The next section describes the mathematics that goes into the KrECAc  
computer implementation of such fuzzy logic statements. }>Lz\.Z/+[  
3. However, it is cumbersome for this purpose and in practical X<"#=u(  
applications the formulae were rearranged and simplified as d #-<=6  
discussed in the next section. B415{  
4. The three components will be described in the next two section, '$OLU[(Y  
and an example of xx analysis of a computer information system will 6~+?DIc  
HPWjNwM  
then illustrate their use. #`Et{6W S  
5. We can interpret the results of Experiments I and II as in the E?f*Z{~,  
following sections. @l2AL9z$m>  
6. The next section summarizes the method in a from that is useful U#_rcu  
for arguments based on xx Yc'7F7.<6  
Summary +hvVoBCM*  
1. This paper concludes with a discussion of future research 8<ri"m,  
consideration in section 5. ;,&1  
2. Section 5 summarizes the results of this investigation. KK*"s^ L  
3. Section 5 gives the conclusions and future directions of research. 6{I5 23g  
4. Section 7 provides a summary and a discussion of some extensions ]pA}h. R#-  
of the paper. $}7WJz:  
5. Finally, conclusions and future work are summarized xH8nn3U  
6. The basic questions posed above are then discussed and .~ W^P>t  
conclusions are drawn. FCmS3KIa,  
7. Section 7 is the conclusion of the paper. 1k>*   
Chapter 0. Abstract {Z|.-~W  
1. A basic problem in the design of xx is presented by the choice of a M+^+u 1QQ0  
xx rate for the measurement of experimental variables. Hw/1~O$T  
2. This paper examines a new measure of xx in xx based on fuzzy [OsW   
mathematics which overcomes the difficulties found in other xx 2S8/ lsB  
measures. _hLM\L  
3. This paper describes a system for the analysis of the xx. mv xg|<  
4. The method involves the construction of xx from fuzzy relations. Kc\0-3 Z  
5. The procedure is useful in analyzing how groups reach a decision. zn3i2MWS  
6. The technique used is to employ a newly developed and versatile !/$BXUrd  
xx algorithm. 15gI-Qb  
7. The usefulness of xx is also considered. +B'9!t4 2  
8. A brief methodology used in xx is discussed. v *~ yN*  
9. The analysis is useful in xx and xx problem. PxK  
10. A model is developed for a xx analysis using fuzzy matrices. e}}xZ%$4|  
11. Algorithms to combine these estimates and produce a xx are 9!FV. yp%F  
Qo{^jDe,c*  
presented and justified. ]]%CO$`T [  
12. The use of the method is discussed and an example is given. w];t]q|  
13. Results of an experimental applications of this xx analysis %-T]!3"n  
procedure are given to illustrate the proposed technique. E( *$wD  
14. This paper analyses problems in r0j:ll d  
15. This paper outlines the functions carried out by ... K| Y r  
16. This paper includes an illustration of the ... v?h#Ym3e<  
17. This paper provides an overview and information useful for x_(B7ob  
approaching .f&,~$e4  
18. Emphasis is placed on the construction of a criterion function by D@4hQC\  
which the xx in achieving a hierarchical system of objectives are fX} dh 9  
evaluated. } "y{d@  
19. The main emphasis is placed on the problem of xx FJ>| l#nO  
20. Our proposed model is verified through experimental study. yNY1g?E  
21. The experimental results reveal interesting examples of fuzzy S]{K^Q),  
phases of: xx, xx ybf`7KEP2A  
22. The compatibility of a project in terms of cost, and xx are likewise zc,fJM  
represented by linguistic variables. d:=5y)  
23. A didactic example is included to illustrate the computational M*+_E8Lh  
procedure 0V`0="rQ  
Chapter 1. Introduction [a l$7R&  
Time y Hk/8  
1. Over the course of the past 30 years, .. has emerged form intuitive .wS' Xn&  
2. Technological revolutions have recently hit the industrial world )>$xbo")k  
3. The advent of ... systems for has had a significant impact on the A'6>"=ziP  
4. The development of ... is explored hMeE@Q0  
5. During the past decade, the theory of fuzzy sets has developed in a IM)\-O\Wd  
variety of directions z+NXD4  
6.The concept of xx was investigated quite intensively in recent years >,A:zbs&  
7. There has been a turning point in ... methodology in accordance ^B> 4:+^  
with the advent of ... =f{V<i~q  
8. A major concern in ... today is to continue to improve... 4 K{4=uU  
9. A xx is a latecomer in the part representation arena. N~g'Z `  
mTYEK4}  
10. At the time of this writing, there is still no standard way of xx 0b~5i-zM/  
11. Although a lot of effort is being spent on improving these avykg(  
weaknesses, the efficient and effective method has yet to be yo") G!BN  
developed. !ZD[ $lt+  
12. The pioneer work can be traced to xx [1965]. /)MzF6  
13. To date, none of the methods developed is perfect and all are far 70mQ{YNN  
from ready to be used in commercial systems. 9eH(FB  
Objective / Goal / Purpose ;:hyW,J  
1. The purpose of the inference engine can be outlined as follows: ul>$vUbyf  
2. The ultimate goal of the xx system is to allow the non-experts to ?o"wyF A*  
utilize the existing knowledge in the area of manual handling of loads, ShxB!/s  
and to provide intelligent, computer-aided instruction for xxx. Pj8s;#~u  
3. The paper concerns the development of a xx 7y&Fb  
4. The scope of this research lies in BPIp3i  
5. The main theme of the paper is the application of rule-based |Xlc2?e  
decision making. mBhG"0:  
6. These objectives are to be met with such thoroughness and `)*   
confidence as to permit ... 's8NO Xlj  
7. The objectives of the ... operations study are as follows: 5qGRz"\p~  
8. The primary purpose/consideration/objective of ,i;kAy)  
9. The ultimate goal of this concept is to provide c_)vWU  
10. The main objective of such a ... system is to -:Nowb  
11. The aim of this paper is to provide methods to construct such KxqT5`P&  
probability distribution. #%il+3J  
12. In order to achieve these objectives, an xx must meet the zT6ng#  
following requirements: MRZ Wfc  
13. In order to take advantage of their similarity /x"gpKwsB  
14. more research is still required before final goal of ... can be ZsirX~W<  
completed Psp3~Kg  
15. In this trial, the objective is to generate... !Ui3}  
16. for the sake of concentrating on ... research issues Z=_p  
17. A major goal of this report is to extend the utilization of a recently 7v}4 Pl,$4  
developed procedure for the xx. S)p{4`p%  
IvTtQq  
18. For an illustrative purpose, four well-known OR problems are v(3nBZHv_!  
studied in presence of fuzzy data: xx. 9t(B{S  
19. A major thrust of the paper is to discuss approaches and |{k;p fPV  
strategies for structuring ..methods g^26Gb.  
20. This illustration points out the need to specify !bFa\6]q  
21. The ultimate goal is both descriptive and prescriptive. Q*+@"tk<  
22. Chapter 2. Literature Review J*F-tRuEw  
23. A wealth of information is to be found in the statistics literature, c|x:]W'ij  
for example, regarding xx j01.`G7Q  
24. A considerable amount of research has been done .. during the =i~/.Nu&  
last decade !s/ij' T  
25. A great number of studies report on the treatment of f(=yC} si  
uncertainties associated with xx. 1b+ B  
26. There is considerable amount of literature on planning CsS0(n(x  
27. However, these studies do not provide much attention to pMM-LY7%{  
uncertainty in xx. 9aD6mp  
28. Since then, the subject has been extensively explored and it is 9Xmb_@7b}  
still under investigation as well in methodological aspects as in eXx6b~D  
concrete applications. M c oHV]x  
29. Many research studies have been carried out on this topic. _Sj S^z~  
30. Problem of xx draws recently more and more attention of system J\b,rOIf  
analysis. ptQr8[FA  
31. Attempts to resolve this dilemma have resulted in the E)o/C(g  
development of + 1\1Z@\M  
32. Many complex processes unfortunately, do not yield to this Wxkk^J9F3  
design procedure and have, therefore, not yet been automated. Gy.<gyK9  
33. Most of the methods developed so far are deterministic and /or {cnya*  
probabilistic in nature. 2/sD#vC  
34. The central issue in all these studies is to *E+2E^B  
35. The problem of xx has been studied by other investigators, `sQ\j Nu  
however, these studies have been based upon classical statistical 9G` 2t~%  
approaches. E `Ualai  
36. Applied ... techniques to JQYIvo1,Q  
37. Characterized the ... system as kV!0cLH!hH  
5Qd |R  
38. Developed an algorithm to #`RY KQwB  
39. Developed a system called ... which ji? 0;2Y  
40. Uses an iterative algorithm to deduce N(vzxx^  
41. Emphasized the need to &{9'ylv-B)  
42. Identifies six key issues surrounding high technology W:O<9ZbQ_  
43. A comprehensive study of the... has been undertaken q@F"fjWBr  
44. Much work has been reported recently in these filed g_G?gO  
45. Proposed/Presented/State that/Described/Illustrated/ #x1AZwC  
Indicated/Has shown / showed/Address/Highlights OOQf a#~k  
46. Point out that the problem of \=Af AO@  
47. A study on ...was done / developed by [] 7{RI`Er`  
48. Previous work, such as [] and [], deal only with z@>z.d4  
49. The approach taken by [] is "Ol;0>$  
50. The system developed by [] consists -}%'I ]R=  
51. A paper relevant to this research was published by [] s=(~/p#M  
52. []'s model requires consideration of... kQC>8"  
53. []' model draws attention to evolution in human development 'G>Ejh@t  
54. []'s model focuses on... *h1Zqb  
55. Little research has been conducted in applying ... to )wP 0U{7?v  
56. The published information that is relevant to this research... hghtF  
57. This study further shows that ?u"(^93f  
58. Their work is based on the principle of daaUC  
59. More history of ... can be found in xx et al. [1979]. T~s/@*y9  
60. Studies have been completed to established |}^[f]  
61. The ...studies indicated that [?RLvhU|  
62. Though application of xx in the filed of xx has proliferated in -?e~dLu  
recent years, effort in analyzing xx, especially xx, is lacking. -le:0NUwI  
Problem / Issue / Question Tr)a6Cf  
63. Unfortunately, real-world engineering problems such as [ w  
manufacturing planning do not fit well with this narrowly defined [4 g5 {eX  
model. They tend to span broad activities and require consideration fbB(W E+  
of multiple aspects. E?y0UD[8J  
64. Remedy / solve / alleviate these problems _E)xR  
67. ... is a difficult problem, yet to be adequately resolved d`StBXG!  
~Cks)mJs  
68. Two major problems have yet to be addressed wz.Il-sm  
69. An unanswered question .}ohnnJB0  
70. This problem in essence involves using x to obtain a solution. $MKx\qx}  
71. An additional research issue to be tackled is .... JQ+4 SomK  
72. Some important issues in developing a ... system are discussed #Vv*2Mc  
73. The three prime issues can be summarized: NxNR;wz>l  
74. The situation leads to the problem of how to determine the ... dulW!&*No  
75. There have been many attempts to rMe` HM@  
76. It is expected to be serious barrier to &BG^:4b  
77. It offers a simple solution in a limited domain for a complex (oq(-Wv  
problem. ]!YzbvoR  
1. There are several ways to get around this problem. X-Xf6&Uz  
2. As difficult as it seems to be, xx is by no means new. /,Ln)?eD  
3. The problem is to recognize xx from a design representation. 5 tP0dQYd  
4. A xx problem can trace its roots to xx. w#Nn(!VR  
5. xx [1987] used a heuristic approach to simplify the complexity of kt[#@M!}  
the problem. '  AeU  
6. Several problems are associated with them. ?aSL'GI  
7. Although some progress has been made in this area, at least two wH|\;M{0V1  
major obstacles must be overcome before a fully automated system y>~=o9J_u  
can be realized. jJ55Az?t:  
8. Most problems in practice are complicated JB+pd_>5  
9. More problem surface here. Zs+6Zd4f  
10. Hamper effort toward a xx system jf/;`br  
11. In order to overcome the limitations due to incomplete and 7dPA>5"XD  
imprecise xx knowledge, a xx program has been developed, which *>_:E6)  
bases its knowledge upon the statistical analysis of a sample YI%7#L7C  
population of xx  N _C\L2  
12. The above difficulties are real challenges faced by researchers p@cPm8L3  
attempting to develop fD,#z&  
13. This type of mapping raises no controversy to the issue of E_ mgYW*5  
membership function determination. %NeKDE  
14. However, attempts to quantify the xx have met both theoretical OE4 2{?)  
and empirical problems. s<<vHzm  
,0-   
15. It has become apparent that in order to apply this new (6 0,0 |s  
methodological framework to real-world problems and data, we have (B$2)yZY  
to pay attention to the problems of xx and xx. diTzolY7  
Chapter 3. Proposed methodology '7Te{^<FQ$  
Assumption 5n(p 1OM2q  
1. In the case when the assumption of a xx seems to be too /3Se*"u  
restrictive or inadequate, the formulation with Fuzzy termination  4jG@ #  
time, i.e. given by a fuzzy set in the space of control stages, may be l l&iMj]  
applied. Bljh'Qp>C  
2. We assume here the fuzzy constraints to be state-dependent, and :$P < e~z'  
the fuzzy goal to be the same for all the control states, xx, which |nm,5gPNC  
stems from the problem's nature. hfEGkaV._3  
3. An approach to the solution of this problem is presented under the P_b00",S  
assumption that the sampling rate Decision can be made prior to the ^]aD LjD  
execution of the experiment, as opposed to being made while the ?5/Sa  
experiment is in progress. N18Zsdrp  
4. Another assumption made above is that there are precise odds at Yt|{l  
which the expert is indifferent. `^_.E:f  
5. Main simplifying assumptions are: [k1N`K(M  
6. This, in our view, is a questionable assumption. ~hM4({/QN  
Outline / Structure / Module (F_#LeJ|  
1. An outline of the research H 5sj% v  
2. Information is incorporated within the scheme 7&T1RB'>  
3. Is built into ... structure $9hOWti  
4. A nice modular structure. T_\GvSOI  
5. The principles of ... are applied as modularized criteria o ue;$8   
Classification B}*xrPj  
1. A xx system comprises three main components: $e<3z6  
2. Must decompose the original .. into a set of .. *,Y+3yM  
3. Consists of the following steps: d]a*)m&  
4. This is summarized in the following steps: tSQ>P -O  
\W*ouH  
5. Can be broadly classified into the following areas: 5ue{&z @T  
6. Can be characterized by its function of effectively processing the 9nd'"$  
7. Can allow further breadth of application of ...into more *K0CUir|  
8. The following steps should be followed &LYU#$sj  
9. xx can be classified by a different ways. rGq~e|.O3  
10. Based on the xx, one may classify xx into the following: *+ Q,b^N  
11. This catalog may change due to wear, breakage, and purchasing. ,gRsbC  
System Zx`hutCv  
1. Unlike many conventional program, expert systems do not bh_i*DJ]  
usually deal with problem for which there is clearly a right or wrong *a+~bX)18  
answer. yNI} =Z  
2. The system consists of both ... and ... 2&5"m;<  
3. The system has a hierarchical modular architecture organized on L! Q&?xP  
three levels. }vc C4 =t/  
4. expert system domains are area of expertise @gs Kb* ,  
5. To develop a xx system for xx, the following factors must be zf2]|]*xz  
considered: 9Y*6AaKE6  
6. The system has been developed / designed to determine dr:)+R  
7. The system has proven to be able to yjN|PqtSV  
8. The domain in which an expert system operates is a particular \ Fc"Q@.u  
domain {$Fg+~   
9. The system comprises a ... with rX fQ_  
10. The system is [feature-oriented ] / based on the ... technique +mV4Ty  
11. The system environment must be relatively stable 0y|}}92:  
12. The system is utilized to generate, load, store, update and .qF@ }dO  
retrieve ... H VG'v>s@  
13. The development of a xx system has two stages: xx stage and xx ^=Up U B  
stage. Z.VVY\  
14. The most essential part of .. system is the ... Z/56JYt!~  
15. The successful developments in ESs have made them an RQ9T<t42  
important tool in the development of E jBEZL|_  
16. An automated system was developed for &|Z:8]'P  
17. In this case, the system can be considered to be generative. Fi(_A  
D='/-3f!F]  
18. An interactive automatic ... system QT\S>}  
19. A …. is commonly thought of as a truly integrated .. system AUxLch+"5K  
20. Should be capable of being generated from a ... system g"xLS}Al  
21. xx is an important part of the integrated system. uXu'I  
22. The model consists of four rule bases, each of which addresses a "YHe]R>3s  
separate problem in the hierarchy of scheduling decision. o&gcFOM22  
23. The rule bases are linked to each other in a chin-like manner in MdZ7Yep  
the sense that the consequent of one rule base constitutes a part of OsvAm'B  
the antecedent of the next rule base. NfS0yQPx  
24. The rule base consists of all possible combinations of the 5K{(V^88F  
linguistic terms associated with the linguistic variable of the @T]gw J  
antecedent of a rule. $fuFx8`2W  
Computer System fy9{W@E3p  
1. The system has been implemented using Prolog language in an VLu_SXlo*  
MS-DOS environment. Prolog was chosen because it offers a well duV|'ntr  
known and flexible environment in which fuzzy reasoning may be pShSK Rg  
easily implemented. DQH _@-q  
2. The current version of the xx program when compiled with W{ @lt}  
WATFOR77 results in an executable code of about 270K bytes. 1H-R-NNJ:  
Typical run time, when run on a XX computer (an IBM compatible mkrvWZjZX  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min 6DR@$fpt  
to 2h, depending on the size (or complexity) of the problem. iN+p>3w^l  
3. Time consuming procedures have been implemented in u|BD%5+J  
C-language and directly linked to the Prolog environment. f1hi\p0q  
4. The xx process, once the xx's data has been entered, requires tN";o\!}  
approximately 180 seconds. qV9`  
5. It should be noted that the computation was done with a 20 Hhz, =@gH$Q_1  
80386..209;based microcomputer equipped with a 80387 math JR'Q Th:z  
co-processor. ch \*/  
6. The computer programs used for the analyses, one based on the xx C<6u}czA  
method and the other based on the new method, were written in ZCbxL.fFz  
FORTRAN with a compiler that supports the math co-processor. ` n@[=l~  
7. Lisp, Prolog give maximum flexibility but also maximizes vlp]!7v  
V|#B=W  
development time. 7$,["cJX  
l Internal representation is the way a model is represented in the VGWqy4m  
computer. =h5&\4r=  
l An interactive menu-driven procedure is used in this study nU)}!` E  
l Shell can be develop very fast at the cost of time fairly severe WI[6 l6  
limitations. s2b!Nib  
l While there is no measurable saving of time for the case involving q|=tt(}G  
five criteria, the saving is dramatic for the case involving 10 criteria -NiFO  
-- the computation time reduces from 10 hr 40 min to about 1 min. 3vQ?vS|2  
l This combination is being implemented in an objected-oriented NAx( Qi3  
programming environment (Smalltalk-80 system) to solve problems s-k~_C>Fw  
encountered in construction xxx. 7&'^H8V  
Method / Approach / Study / Process Model / Equation /Algorithm / kH-1l>":  
Rule / Formula / Technique J);1Tpm  
l A discussion is presented of a problem-solving system +qD4`aI   
l To improve the efficiency of the method, the following approach _o' jy^  
may be applied. w+2:eFi=/  
l In order to an investigation was made to find the causes of the RTHdL  
l Although large collections of rules and equations have been +_ K7x5g  
complied, none are generally accepted P.&,nFIg3  
l This approach will be explained and discussed thoroughly in the isQ{Xt~K  
body of the report. =WJ*$j(  
l This can be accomplished by }\*dD2qNL}  
l This algorithm to compute the total cost can be described step by 7:mM`0g!  
step as follows: PX\}lTJ  
l The above preliminary analysis has provided important Rj^bZ%t  
information L a0H  
l Various methods have been proposed for selecting an optimum... m#grtmyMrI  
l These concepts have been applied to '`/1?,=  
l On the basis of the concept mentioned above, ?!Rl p/  
l This can be achieved by Lo7R^>  
l This fact suggests that a new concept Zo-s_6uC  
l This was accomplished by taking ... z/6kxV89  
i?4vdL8M  
l The preparatory stage is very time consuming process. VSmshld  
l Test are performed for validity, completeness, and compatibility ldI;DoE#U1  
l There is little hope of achieving successful ... amlE5GK;  
l There has been an increasing awareness of the potential of using M6pGf_qt  
most ..so far made have not taken this approach, with the exception ~iEH?J%i1r  
of %$!}MxUM  
l Only a few studies can be found. c<pr1g  
l It is a very tedious process to go through @e$z Ej5  
l It is only when .. has been completed that .. may be effected A5!f#  
l The entire interpretation process is conducted in one's head. WP2|0ib  
l These approaches are sometimes very tedious. 3~a!h3.f  
l Several techniques can be used xh_6@}D2J  
l A polynomial parametric model can be written as [the |v[{k>7f  
following]/[follows]: hgfCM  
l A xx model is constructed/formulated using xx. g[q1P:I@W  
l A xx model represents an xx by its xx. My,ki:V?g6  
l A process decision model captures the logic essential to FTtYzKX(bv  
l From the equation above, xx is equal to the summation of xx 0Evmq3,9  
times the ... y9pQ1H<F;  
l The validity of a xx model can be checked using Euler's formula. g=o)=sQd  
l Given a model, one can mathematically determine whether ... or ... Y>R|Uf.o z  
l Equations for xx need to be derived and implemented in the [@uL)*o_#  
system.  #RbPNVs  
l A number of heuristic rules have been developed for Beiz*2-}a  
l Optimum .. techniques can be made more reliable by ... so that st +X~;PX*  
l An algorithm based on the characteristic ... is used to determine ;jo,&C  
l Euler's formula states the following: mxGa\{D# y  
l The completed model should agree with the formula. bo0m/hVU  
l For manufacturing purposes, a detailed and precise model of the /V$ [M  
object is necessary ^z "90-V^  
l Engineering design models are very well defined; therefore, ]+ XgH #I  
l To keep the domain narrow enough to be implementable, yet wide Tsf Ood   
enough to UpN:F  
be useful. zX{ [Z  
{h7 *a=  
Point of View BN|+2D+S  
l from an implementation standpoint, 5A>W;Q\ 4  
l From the point of view of this application, V`l.F"<L  
l From this point of view, Zadeh suggested an inference rule named n^UrHHO L  
xxx (CRI for short). /H:'(W_b;  
l Information is the meaningful interpretation and correlation of %$~?DDNM  
some aggregation of data in order to allow one to make decisions. S5-}u)XnH  
l From a practical point of view, the computational aspects of an xD8x1-  
FLC require a simplification of the fuzzy control algorithm. \XCs( lNh  
l The use of a hammer to insert screws, although partly effective, .o]vj Nrd/  
tends to distort, destroy, and generally defeat the purpose of using a :\4?{,@_h  
screw [Kusiak AI Implications for CIM p.129] ujXC#r&  
Justification z%}^9  
l We choose the so called xx in our experiment because it has TlYeYN5V  
received wide acceptance and can ^; Nu\c  
l Prolog was chosen because it offers a well known and flexible `|8)A)ZVT  
environment in which fuzzy reasoning may be easily implemented. Y`uL4)hR5  
l The rationale behind this is that it can be much easier for an vnw83a%3  
estimator to rate a cost as high than to attempt to place a dollar zb OEF  
value on the estimate. 1,p7Sl^h  
l This strategy has been widely used in fuzzy control applications t9Ht 5 4  
since it is natural and easy to implement. Q$iYhR  
l A function definition expresses the membership function of a .8<bz4  
fuzzy set in a functional form, typically a bell-shaped function, etc. t,]r%  
Such functions are used in FLC because they lead themselves to :D-My28'  
manipulation through the use of fuzzy arithmetic. /[#<@o  
l It should be noted that in our daily life most of the information on I8d#AVF2  
which our decisions are based is linguistic rather than numerical in : P>Wd3m  
nature. Seen in this perspective, fuzzy control rules provide a natural :rnn`/L  
framework for the characterization of human behavior and decisions :EJ+#  
analysis. 6+b!|`?l+  
l Many experts have found that fuzzy control rules provide a JK4vQWy  
>V2Tr$m j  
convenient way to express their domain knowledge. This explains U iqHUrx  
why most FLCs are based on the knowledge and experience which OGw =e{  
are expressed in the language of fuzzy "if-the" rule. .S>:-j'u  
Chapter 4. Examples Bd*:y qi  
Example/ Data R *lJe6  
l The data used in the following example was taken from an +@ga  
experiment in which xx was measured between x and x using a xx 9^h0D}#@  
technique. ^ a#Vp  
l The data consists of over xx measurements. &k*sxW'  
l An example of xx is discussed and the control rules of xx are "q5Tw+KCfu  
compared with a xx  w~wpm7  
l Examples of complex processes to which this technique may be o(Yj[:+m  
applied are xx, xx, etc. DUUQz:?{J  
l The following example is constructed only for the purpose of pJ!:mt  
illustrating the computational procedure discussed. Pb 4%" 9`  
l This example clearly demonstrates that the profile of an individual l ?RsXC  
xx, or a very small group of xx, with no enough data to be studied 99j^<)  
statistically, can be meaningfully analyzed by fuzzy possibilistic V +j58Wuf  
methods. eT* )r~  
l There is no space here to go into detail on all these methods, but D=uU:7m  
deserve a mention and the bibliography will point to detailed oKjQ? 4  
references for those wishing this level of detail. < 3i2(k  
l Note that the golf ball spotting example is used throughout the .21[3.bp/q  
paper. ;LSdY}*%0  
Comparisons s|L}wtc  
l As well, the pros and cons of these representations from a process Y|$3 %t  
planning point of view will be discussed. d;1%Ei3K  
l The method of using xx to implement xx described by Zadeh F*Lm=^:  
(1973) appeared more suitable zSt6q  
l As discussed [in the previous section]/[preciously], =s3f{0G  
}Fy~DsQ  
Relation yv1Z*wTpO  
l We can not invert F' directly because it defines a many-to-one &+]x  
mapping. eaSf[!24"  
l The relationships appear very complicate *Xm$w  
l Lifting tasks involve complex and imprecise relationship between hS(}<B{x!  
the task variables and the human operator's characteristics. B+W 4r9#  
l These methods are based on the relationship between ... and ... rq=D[vX\N(  
l The fundamental concept of a fuzzy rating language is that we can -UD^O*U  
establish a relationship among terms such as high, medium, and low, UOh % "h  
and then modify these relationships. CF"u8yE  
l This article will thus mention the latter as well as the former. L O)&|9xw  
l The former two bear a close relation to a fuzzy Cartesian product. 8bl&-F `  
Importance Lckb*/jV&  
l The emphasis is on an implementation of a general approach to dk}T&qZ~p  
rule based decision making. `rt?n|*QF  
Consideration / Attention ;Ohabbj*  
l Careful evaluation is necessary to ensure gKyYBr  
l Such a formulation does not change further considerations. B[2 qI7D$  
l Considerable attention has been paid to %=C49(/K_  
l Attention should be paid to an important finding of this _G9 vsi  
investigation. mR JX,  
l Caution should be exercised in this process to avoid ... jV:Krk6T<  
l Primary consideration is given to ... components, though others CVo2?ZQ  
can be accommodated T4H/D^X|  
l After ... has been defined by ..., a carefully analysis is carried O+ ].'  
out/performed to determine $_bhZnYp7  
l A number of factors such as ...need to be taken into consideration 0M[O(.x  
before making the appropriate decision. TV^m1uC  
l It should be noted that h?cf)L  
l It is important to point out that ... e15_$M;RW  
l These considerations have heightened interest in the possibility of HfQZRDH  
providing ... 2@&|/O6_\h  
heLWVI[so  
l We should stress the fundamental importance of the xx oRJ!J-Z]  
Chapter 5. Results. soSdlV{  
Advantages / Disadvantage k `#OXLR  
l One of the major advantages of this new measure of xx is that it nu 'r `  
can be applied to the experimental study of >a6{y   
l One advantage of using a .. is the ease of preparing it. qM~;Q6{v  
l The xx system is versatile |@Cx%aEKU  
l It has a very fast decision making process 0[\^Y<ec  
l All the algorithms involve mostly logical operations. pQ:7%+Om  
l It can be easily and without additional cost implemented in a xEULV4Qw  
microprocessor-based environment. lfle7;  
l It can reduce the waste of designing from scratch. +JDQ`Qk  
l The advantages of using a xx to represent xx are the following: 7EI5w37  
l However, xx is not without its shortcomings. > T$M0&<  
l In most cases, the xxx shows an improvement over the existing eootH K  
xxx. QQ*` tmy  
l Compared to the existing xx, the impacts of the xx are generally TnuNoMD.  
reduced by 5% to 9%. f1Az|h  
l The "best case" results shows a savings of 6% to 9%. 0.MD_s0)>  
l Most of the existing works based on xx approach can only fN!ci']  
recognize a xx . *-.{->#Y  
l Most of the above methods are computational expansive and C [4{\3\Va  
limited to xx. -VC k k  
l Some other advantages of xx are the following: ~!t#M2Sk  
l The problem is the limitation of this method to a limited domain of +n'-%?LD&  
parts. <6!;mb ;cX  
l It proved limited in application because it demanded precision in }|KNw*h $  
system modeling that was impossible in practice. 6 h?v/\  
l There are advantages to be gained in the structuring of costs and .eNeq C  
benefits, the use of xx, vzXf JP  
l The disadvantages of this method are also disadvantages of Ro2Ab^rQ|  
conventional xx approaches. g oMv8d  
c[E "  
l This combines the best features of both techniques O ,9,= 2j  
l Hopefully, this tool can be as the reference framework of for }ldOxJSB?  
developing a xx platform, and helping the administration, marketing, :l;SG=scx  
and knowledge management activities in virtual communities. 8:9/RL\"x  
Results :j<ij]rsI  
l An improvement on the result shown above can be made by based F%-KY$%  
on the data provided X2 PyFe  
l Discussion of these theories is beyond the scope of this review e I^Q!b8n  
l Based on the information contained in this `[(.Q  
l The result can be categorized into nine classes H\PY\O&cP  
l The results are illustrated by an example b}-/~l-:  
l The experimental results for each xx time are reported in Table 2. -50 Nd=1  
l From the results obtained so far, it seem that A8zh27[w%  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn _!K@( dl  
as bT8 ?(Iu  
l Although much effort has been made to., this reality is far from Py! F  
completion. ExW3LM9(  
l The results indicate that the total benefits are higher than the 3 {OZdl|  
total costs. Z37%jdr  
l Their results may then serve as guidelines for lower level models, aG x[?}=  
less fuzzy and more detailed. C]f`  
Chapter 6. Conclusion SO#R5Mu2N  
l From the discussion, one may conclude that ... FWb`F&  
l Form the above discussion, the conclusion can be reached that M>xjs?{%k  
l The conclusions drawn are also valid g-NfZj?  
l In conclusion to this, it becomes obvious that the problem of xx h+ggrwg'  
lies not only in... 1=^edQ+   
l We have attempted to introduce some concepts associated with a M!#[(:  
theory of {s R|W:fS$  
xx based on fuzzy sets. An2Wj  
l Considerable more work, hopefully, will be done in this area )2Dm{T  
l A fuzzy set procedure is proposed to solve xx selection problems ;p] f5R^  
B.ar!*X  
interwoven with imprecise data SJd,l,Gg)  
l Employing the compositional rule of inference, the assessment of 8EC$p} S  
the xx compatibility in achieving prescribed xx projectiles in any us2RW<Oxv  
level of the hierarchy is made possible. H]a@"gO  
l This paper has presented a theoretical and experimental study of ,f3Ck*M  
the xx process and xx concept.  1cvH  
l The experimental research results will hopefully serve as useful /t;Kn m  
feedback information for improvements for xx work. JQde I+  
l The scope of this contribution was to introduce a xx method. Wti?J.Csc  
l In general, fuzzy sets theory provides an alternative foundation G&f~A;'7k  
for xx analysis in a fuzzy environment. zSM;N^X8?  
Future Research 5:6]ZFW  
l Thus, first extension of the approach could be, j?gsc Q3  
l Present some cues for a further approach from Fuzzy Sets Theory r-]HmY x  
application to \UR/tlw+/  
l Some improvements to the scheduling aspect of the model may [pgld9To  
be brought through additional levels in the hierarchy for more H6! <y-  
detailed representation of the scheduling activity. e/nc[  
Tables and Figures 0*umf .R  
l Figure 7-1 sketches these relationships. M>kk"tyM  
l The graphical representation of these functions is shown in Figure A\S1{JrR  
1. \8HLQly|@  
l The xx may be depicted as in Figure 1. 7Ew.6!s#n1  
l Figure x shows the schematic diagram of the D/7hVwMw:  
l Figure 1 though 2 provide a ... that 6*Y>Y&sea  
l the architecture of this expert system for .... is illustrated in Figure f:6%DT~a&C  
2. )VoQ/ch<  
l Figure 2 gives the outline of an ... system wn-{V kpm  
l Table shows the .)Af&+KT  
l as shown in Table 1 and 2 i rRe}  
l This concept is illustrated in Figure 2 pS C5$a(  
l At the top of Table xx are shown two blocks of data. $k= 5nJ  
UvPD/qu$8D  
l Each table or matrix has constructs xx through xx as j^&{5s  
row-headings, .gS x`|!  
xx through xx as column-headings. R:}u(N  
l A table of .. is developed and significant recommendations are }G50?"^u  
made. vs|_l!n3  
CONJUGATION ~BJ~]~0P`  
To Indicate Addition %C^%Oq_k  
l additionally, again, also, and then, as can be easily understood, tEE1`10Mt  
besides, equally important, especially, finally, for the same reason, QoVRZ$!p  
first, further, furthermore, in addition, last, likewise, moreover, next, "Nx3_mQ  
second, third, too, evidently, obviously, roughly speaking, broadly nR()ei^X  
speaking on=I*?+R  
To Indicate Cause and Effect )f6:{ma  
l accordingly, as a result, consequently, for this reason, hence, in |0jmOcZF  
short, otherwise, then, therefore, thus, truly ZX Sl+k .  
To indicate Comparison 4\6-sL?rW  
l in a like manner, likewise, similarly , alternatively xn)eb#r  
To Indicate Concession <\If:  
l after all, although this may be true, at the same time, even though, lv* fK  
even so , I admit, naturally, of course uDZ$'a  
To Indicate Contrast +- B`Fya  
l and yet, at the same time, but, for all that, however, yet, in fact, in A,2dK}\>  
contrast, in the real life, in spite of, nevertheless, notwithstanding, `S{Blv  
normally, on the contrary, on the other hand, still, traditionally, aeBA`ry"B  
rather, unfortunately, TBz Oz:k  
To Indicate Time Relationships: DG&[.dR+  
after a short time, afterwards, as indicated earlier, as long as, as soon { fmY_T[Q8  
:Gdfpz-{?  
as, at last, at length, at the moment, at that time, at the same time, p FkqDU  
before, earlier, currently, immediately, in the meantime, in recent f#W5Nu'*!  
years, lately, later, meanwhile, often, of late, presently, recently, A?q9(n|A"  
soon, shortly, since, thereupon, temporarily, therefore, until, when, c<8RRYs  
while "1U:qr2-H  
To Indicate Special Features or Examples: V0Z\e _I  
for example, for instance, incidentally, indeed, in fact, in other words, Z{|U!tn  
in particular, in practice, specifically, that is, to illustrate, in this ~x>?1K  
respect, theoretically, as mentioned before / above ~$zodrS9  
To Indicate Summary: p$5+^x'(  
in brief, in conclusion, in short, in summary, on the whole, to $=? CW(  
conclude !U@?Va~Zn  
, in general, to summarize, to sum up, as a result, ultimately, 4}~zVT0'~  
VERB PHASE +;}XWV  
l build a .. model 9*@Kl`\  
l build up the key link j]#-DIL  
l began a new era in ... 88dq8T4  
l can be regarded as / achieved / used to/for / found / obtained {&'u1yR  
through I\6u(;@  
l can result in S)@95pb  
l carries out ... tasks rf%E+bh4  
l production information in order to simultaneously ;)^eDJ<  
l contains all information necessary to describe FuZ7xM,  
l do not make use of production information 2/9P&c-rp  
l deals with kpM5/=f/@  
l end with failure !!=%ty  
l fetch the information from the model directly S.9ki<   
l has great potential / yet to be resolved / spurred the M'=27!D^  
development of / o9!DK  
been recognized as hi>sDU< x  
l BE aimed at / built up / carried out by / essentially concerned PNSZ j#  
\ORNOX:  
with / considered to be the key technology / associated with each P5+FZzQ  
feature of a compo I9ga8mG4-'  
site component / cable of / currently implemented for / lE+v@Kb:  
demonstrated by an example / finally reached / made equal to / =OIx G}*  
equivalent to / more suitable to / oriented to / interpreted as / N#')Qz:P  
pointed out / potentially of great benefit in the complex task of / ~M 6^%  
shown in / used to effectively guide the search G)b6Rit  
l makes use of %f.(^<G u  
l make up m bBd3y  
l meets the needs of real life production,/ the current demands 8>TDrpT}  
placed upon it A*BIud li  
l must be justified W@w#A]  
l point out goi5I(yn^  
l play an important role OLc/Vij;  
l relates to uE~? 2G  
l rely on mnM#NT5]  
l satisfy the needs ?d1H]f<M  
l determine the total requirements for the ... 3 tMFJ ;*`  
l uses ... as a key to search for... Akf?BB3bC  
l without relying on ~S)o ('  
l will be available/ performed/ overlooked 0+b1R}!2  
NOUN PHASE "Y 9 *r L  
l a basic technical function of }"j7Qy)cs  
l a critical need \?-`?QPux  
l a key / principle feature of ajuwP1I  
l a substantial impact on 08&DP^NS  
l an intensive review was conducted /#M|)V*wn  
l an increasing need for expanding the application of .... p%_#"dkC7  
l an important component / function / aspect / issue 6X5`npf  
l each rule is numbered in sequence DG&14c>g  
l each of these involves m/sAYF"  
l for this calculation, it is necessary to define l|[cA}HtB  
l in the physical environment / integration of &Ib8xwb:  
!L"3Otd  
l in the reality of situations where … |a#4  
l many aspects of !']=7It{  
l most past efforts have been spent on ... r# 5))q-  
l common sense to a well studied and documented technical field. _B)LRD+Hj  
l sources of additional information on ... are listed KFBo1^9N  
l systematic and rationally structured format |D%i3@P&ZR  
l the basis on which a range of ...operations can be established is /w{DyHT  
shown >bWsUG9  
l THE basic philosophy / principles of / key element / general FLJdnL  
hypothesis / candidate list of / concept of ... has attracted wide E~]8>U?V  
interest / function is concerned with / heart / impact / nature / role a9qB8/Gg[  
/ task of / kernel functions YbF}(iM  
l the number of parts needed to GQoaBO.  
l the above statement means that *yOpMxE  
l the output data is passed to u^SXg dj  
l the proposed method / underlying principle KHKf+^uu  
l the recommendations made in this report, if implemented, should |U%S<X  
l this information resides in hN$6Kx>{  
l this process is composed of ... different ... operation ufm`h) N  
l along with the use of !EuU @ +  
l concerning general aspects of "TA r\; [  
l due to I{AteL  
l for later use in generating..., !r$?66q/  
l in turn, 'h_PJ%  
l IT IS believed / noted / assumed / suggested / shown / quite VYI%U'9Q  
evident / appears / implies that / intended for / of no important to IwhZzw w  
l it can be claimed/concluded that Xjc{={@p3  
l it demonstrates the decisions required of E6|!G  
l it also provides information to .. Dp!3uR ']p  
l it becomes essential to ?#ue:O1  
l let ... be the probability that +J3 0OT8  
l once... is written, it is compiled into... {@1.2AWg  
l suppose it is observed that J Sz'oA5  
l this is because qN}kDT  
GJW+'-f  
l this results in a t QkEJ pj  
l upon completion of the ... analysis, :Jwc'y-]  
l when the knowledge is of mathematics or quantum physics, it will Xm&L@2V  
also be >HO{gaRM  
recorded in books and papers S]iMZ \I/  
l selection of rules for using the tools, for generating operation mz@`*^7?  
plans, cy8+@77  
is another matter of preference, since practice varies greatly. B4 5B`Ay  
l for the sake of convenience  ::Y   
l correct decision to be reach 9.ZhkvR4A  
l keeping the number of rules to a minimum. |4//%Ll/  
l a good process plan will result exhibiting several characteristics: eSf e s  
l practical solutions x"h0Fe?J  
l because of rather small job lot sizes j|gv0SI_ w  
l Backward reasoning can be used to answer the question "should 'bp*hqG[  
milling tool be select" different level of knowledge in the realm of y]Q G;  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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