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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 ( ugB3o  
bo  J  
dM nJ)R  
Beginning Gx]J6Z8  
1. In this paper, we focus on the need for IP]"D"  
2. This paper proceeds as follow. Q8kdX6NMd&  
3. The structure of the paper is as follows. ^/<0r] =  
4. In this paper, we shall first briefly introduce fuzzy sets and related dDAI fe2y  
concepts $]Vvu{  
5. To begin with we will provide a brief background on the X(W d  
Introduction 5ZRO {rf  
1. This will be followed by a description of the fuzzy nature of the \[Dxg`;4  
problem and a detailed presentation of how the required JIl<4 %A  
membership functions are defined. 8$H_:*A?  
2. Details on xx and xx are discussed in later sections. YtzB/q8I  
3. In the next section, after a statement of the basic problem, various 5jTBPct   
situations involving possibility knowledge are investigated: first, an B4yC"55  
entirely possibility model is proposed; then the cases of a fuzzy >>ncq$  
service time with stochastic arrivals and non-fuzzy service rule is 0 s-IW  
studied; lastly, fuzzy service rule are considered. gRk%ObJGqm  
Review OKo39 A\fu  
1. This review is followed by an introduction.  i,{'}B  
2. A brief summary of some of the relevant concepts in xxx and xxx is q\P"AlpC!  
presented in Section 2. fI5]ed eS  
3. In the next section, a brief review of the .... is given. "QWF&-kAI  
4. In the next section, a short review of ... is given with special regard D{]t50a.  
to ... +wAH?q8f  
5. Section 2 reviews relevant research related to xx. Kd?TIeFE  
6. Section 1.1 briefly surveys the motivation for a methodology of qH3|x08  
action, while 1.2 looks at the difficulties posed by the complexity of r+}5;fQJ  
systems and outlines the need for development of possibility 8| 6:  
methods. rNgFsFQ>.  
Body BM(8+Wj  
1. Section 1 defines the notion of robustness, and argues for its zHI_U\"8D  
X*'tJN$  
importance. Oie0cz:>:  
2. Section 1 devoted to the basic aspects of the FLC decision-making \ 2$nFr?0  
logic. s~@4  
3. Section 2 gives the background of the problem which includes xxx 7IrbwAGZ3  
4. Section 2 discusses some problems with and approaches to, 'l%b5:  
natural language understanding. %_rdO(   
5. Section 2 explains how flexibility which often ... can be expressed HA?<j|M  
in terms of fuzzy time-window ^ |k 7g  
6. Section 3 discusses the aspects of fuzzy set theory that are used in tgy= .o]  
the ... 2yu\f u  
7. Section 3 describes the system itself in a general way, including %SG**7  
the ….. and also discusses how to evaluate system performance. dM%#DN8 l  
8. Section 3 describes a new measure of xx. 7oj ^(R,  
9. Section 3 demonstrates the use of fuzzy possibility theory in the u&q RK>wLa  
analysis of xx. .eg?FB'7  
10. Section 3 is a fine description of fuzzy formulation of human uSeRn@  
decision. ]SqLF!S(=  
11. Section 3 is developed to the modeling and processing of fuzzy ^sLnKAN  
decision rules Q\pTyNAYn  
12. The main idea of the FLC is described in Section 3 while Section 4 k 8C[fRev  
describes the xx strategies. 5 pJ)OX  
13. Section 3 and 4 show experimental studies for verifying the *Nv!Kuk  
proposed model. c-|~ABtEpX  
14. Section 4 discusses a previous fuzzy set-based approach to cost AS 5\X.%L*  
variance investigation. *Y4h26  
15. Section 4 gives a specific example of xxx. |T!^&t  
16. Section 4 is the experimental study to make a fuzzy model of aq'd C=y  
memory process. koi QJdK  
17. Section 4 contains a discussion of the implication of the results of j"FX ?|4  
Section 2 and 3. e(;1XqLM  
18. Section 4 applies this fuzzy measure to the analysis of xx and +~gqP k  
illustrate its use on experimental data. /i$-ws-  
19. Section 5 presents the primary results of the paper: a fuzzy set v35wlt^}  
model .. yv.Y-c=  
I)wjTTM5  
20. Section 5 contains some conclusions plus some ideas for further s0,\[rM  
work. OYcf+p"<\  
21. Section 6 illustrates the model with an example. +-b:XeHSZ  
22. Various ways of justification and the reasons for their choice are h8IjTd]z{$  
discussed very briefly in Section 2. [iJU{W  
23. In Section 2 are presented the block diagram expression of a HK@LA3  
whole model 6kW<i,A -  
of human DM system 5F@7A2ZR  
24. In Section 2 we shall list a collection of basic assumptions which O]ZP- WG  
a ... scheme must satisfy. q#fj?`k  
25. In Section 2 of this paper, we present representation and S@AHI!"h=V  
uniqueness theorems for the fundamental measurement of fuzziness ,vfi]_PK  
when the domain of discourse is order-dense. g+5{&YD  
26. In Section 3, we describe the preliminary results of an empirical k+X=8()k  
study wzX 1!?  
currently in progress to verify the measurement model and to UQGOCP_  
construct membership functions. UjmBLXz@T  
27. In Section 5 is analyzed the inference process through the two 4::>Ca^{  
kinds of inference experiments... IR*g>q  
This Section [ emUyF  
1. In this section, the characteristics and environment under which EJ$-  
MRP is designed are described. g~ tG  
2. We will provide in this section basic terminologies and notations C$X )I~M  
which are necessary for the understanding of subsequent results. OiB*,TWV  
Next Section |meo  
2. The next section describes the mathematics that goes into the cY+vnQm  
computer implementation of such fuzzy logic statements. F s^d-I  
3. However, it is cumbersome for this purpose and in practical \;0J6LBc  
applications the formulae were rearranged and simplified as I(6k.PQ  
discussed in the next section. Cm:&n |  
4. The three components will be described in the next two section, ,vBi)H  
and an example of xx analysis of a computer information system will TNs0^h)  
\cq gCab/2  
then illustrate their use. b6Jv|1w'  
5. We can interpret the results of Experiments I and II as in the #(o 'G4T  
following sections. 0 S3~IeJ  
6. The next section summarizes the method in a from that is useful 7g(,$5  
for arguments based on xx ? !H <V@a  
Summary i2or/(u`  
1. This paper concludes with a discussion of future research Fs q=u-= :  
consideration in section 5. 6&(gp(F  
2. Section 5 summarizes the results of this investigation. <y${Pkrj  
3. Section 5 gives the conclusions and future directions of research. @:$zReS2  
4. Section 7 provides a summary and a discussion of some extensions lf3:Z5*&>  
of the paper. uVoM2n?D%^  
5. Finally, conclusions and future work are summarized :0BaEqX  
6. The basic questions posed above are then discussed and WeGT}  
conclusions are drawn. A8JEig 3Ix  
7. Section 7 is the conclusion of the paper. s&S8P;K|  
Chapter 0. Abstract AL/`Pqlk  
1. A basic problem in the design of xx is presented by the choice of a HjTK/x'_'L  
xx rate for the measurement of experimental variables. n8"S;:Zm  
2. This paper examines a new measure of xx in xx based on fuzzy H27J kZ&  
mathematics which overcomes the difficulties found in other xx ARYqX\-e  
measures. ^n5[pF}Gw  
3. This paper describes a system for the analysis of the xx. A:3bL: ;t  
4. The method involves the construction of xx from fuzzy relations. 8ID fYJ  
5. The procedure is useful in analyzing how groups reach a decision. SJ1 1LF3)  
6. The technique used is to employ a newly developed and versatile gvYib`#  
xx algorithm. C)> ])'S  
7. The usefulness of xx is also considered. 2Mx9Kd'a r  
8. A brief methodology used in xx is discussed. 8:,E=swe  
9. The analysis is useful in xx and xx problem. gP.Q_/V  
10. A model is developed for a xx analysis using fuzzy matrices. 2U,O e9  
11. Algorithms to combine these estimates and produce a xx are <Gzy*1 Q&  
Z~o*$tF/  
presented and justified. !Y_"q^5GG'  
12. The use of the method is discussed and an example is given. tx;DMxN!W  
13. Results of an experimental applications of this xx analysis ug!DL=ZW  
procedure are given to illustrate the proposed technique. X ^>o/U  
14. This paper analyses problems in XJnDx 09h  
15. This paper outlines the functions carried out by ... o[*</A }  
16. This paper includes an illustration of the ... O4FW/)gq  
17. This paper provides an overview and information useful for %7BVJJp2  
approaching vTYI ez`g  
18. Emphasis is placed on the construction of a criterion function by Ky`rf}cI>  
which the xx in achieving a hierarchical system of objectives are [w l:"rm  
evaluated. NLM ]KT  
19. The main emphasis is placed on the problem of xx -bo2"*|m  
20. Our proposed model is verified through experimental study. `pY\Mmgv1  
21. The experimental results reveal interesting examples of fuzzy E!'H,#"P  
phases of: xx, xx _#9:cH*  
22. The compatibility of a project in terms of cost, and xx are likewise 9BB<. p  
represented by linguistic variables. -i|qk`Y  
23. A didactic example is included to illustrate the computational %[4/UD=7  
procedure sd\>|N?'  
Chapter 1. Introduction ~u1ox_v`%(  
Time a_I!2w<I  
1. Over the course of the past 30 years, .. has emerged form intuitive qVC_K/w 7  
2. Technological revolutions have recently hit the industrial world eA&hiAP/  
3. The advent of ... systems for has had a significant impact on the Pgg6(O9}B^  
4. The development of ... is explored 4vTO  #F  
5. During the past decade, the theory of fuzzy sets has developed in a c\UVMyE  
variety of directions @Fqh]1t  
6.The concept of xx was investigated quite intensively in recent years exV6&bdu  
7. There has been a turning point in ... methodology in accordance t$r^'ZN  
with the advent of ... )H$Ik)/N  
8. A major concern in ... today is to continue to improve... l.1)%q&@^  
9. A xx is a latecomer in the part representation arena. dv-yZRU:  
Y5=~>*e  
10. At the time of this writing, there is still no standard way of xx @B ~! [l  
11. Although a lot of effort is being spent on improving these pOD|  
weaknesses, the efficient and effective method has yet to be V4qHaG  
developed. (.P;VH9R\  
12. The pioneer work can be traced to xx [1965]. _)2.#L  
13. To date, none of the methods developed is perfect and all are far j>eL&.d  
from ready to be used in commercial systems. KSVIX!EsX  
Objective / Goal / Purpose m{!BSl  
1. The purpose of the inference engine can be outlined as follows: tu77Sb  
2. The ultimate goal of the xx system is to allow the non-experts to E xKH%I  
utilize the existing knowledge in the area of manual handling of loads, vX)6N#D!  
and to provide intelligent, computer-aided instruction for xxx. xC`Hm?kM  
3. The paper concerns the development of a xx :7Rs$ -*Uk  
4. The scope of this research lies in )(*A1C[  
5. The main theme of the paper is the application of rule-based D/V. o}X$  
decision making. J:f>/  
6. These objectives are to be met with such thoroughness and W)^:*z  
confidence as to permit ... BQSA;;n]  
7. The objectives of the ... operations study are as follows: ixBM>mRK  
8. The primary purpose/consideration/objective of |_F-Abk  
9. The ultimate goal of this concept is to provide seHwn'Jn  
10. The main objective of such a ... system is to cAyR)Y!I  
11. The aim of this paper is to provide methods to construct such kBIF[.v(\  
probability distribution. fj0+a0h  
12. In order to achieve these objectives, an xx must meet the j6Jz  
following requirements: y;0.P?Il"  
13. In order to take advantage of their similarity -_uL; 9r  
14. more research is still required before final goal of ... can be Ms1G&NYP  
completed |rdG+ >  
15. In this trial, the objective is to generate... wuzz Wq  
16. for the sake of concentrating on ... research issues <B`}18x  
17. A major goal of this report is to extend the utilization of a recently J}jK_  
developed procedure for the xx.  3mWo`l  
_QvyFKAM  
18. For an illustrative purpose, four well-known OR problems are XYod>[.x  
studied in presence of fuzzy data: xx. a47Btd'm  
19. A major thrust of the paper is to discuss approaches and (&x~pv"+  
strategies for structuring ..methods vR,HCI  
20. This illustration points out the need to specify ,z1# |Y  
21. The ultimate goal is both descriptive and prescriptive. C^n L{ZP,  
22. Chapter 2. Literature Review y{u6t 3  
23. A wealth of information is to be found in the statistics literature, {6 #3`  
for example, regarding xx 3;>(W  
24. A considerable amount of research has been done .. during the R%#c~NOO  
last decade 7IK<9i4O  
25. A great number of studies report on the treatment of q{U -kuui  
uncertainties associated with xx. ,<EmuEw |  
26. There is considerable amount of literature on planning "3\RJ?eW:S  
27. However, these studies do not provide much attention to P? 9CBhN  
uncertainty in xx. '/sc `(`:0  
28. Since then, the subject has been extensively explored and it is H ~ks"D1  
still under investigation as well in methodological aspects as in T^ sxR4F  
concrete applications. >F+:ej  
29. Many research studies have been carried out on this topic. ` 4k;`a  
30. Problem of xx draws recently more and more attention of system U">OdoZ,E+  
analysis. @%#(Hse  
31. Attempts to resolve this dilemma have resulted in the Lvp/} /H/  
development of SbGp  
32. Many complex processes unfortunately, do not yield to this _I8-0DnOM  
design procedure and have, therefore, not yet been automated. 9txZ6/  
33. Most of the methods developed so far are deterministic and /or sm_:M| [D  
probabilistic in nature. I[4E?  
34. The central issue in all these studies is to  R(zsn;  
35. The problem of xx has been studied by other investigators, wR;l"*j  
however, these studies have been based upon classical statistical  >#q|Pjv]  
approaches. S;t~"87v*  
36. Applied ... techniques to 3YLnh@-  
37. Characterized the ... system as plf<O5'  
@?1%*/  
38. Developed an algorithm to .Z^g 7 *s  
39. Developed a system called ... which sRMzU  
40. Uses an iterative algorithm to deduce FdSaOod8  
41. Emphasized the need to 5G!X 4%a  
42. Identifies six key issues surrounding high technology ~'U;).C   
43. A comprehensive study of the... has been undertaken `773& \PK  
44. Much work has been reported recently in these filed G{"1  I  
45. Proposed/Presented/State that/Described/Illustrated/ JJ+<?CeHD  
Indicated/Has shown / showed/Address/Highlights -0]aOT--  
46. Point out that the problem of zJsoenU  
47. A study on ...was done / developed by [] 2Z97Tq  
48. Previous work, such as [] and [], deal only with 2tbqmWw/s  
49. The approach taken by [] is ry T8*}o  
50. The system developed by [] consists g|zK%tR_P  
51. A paper relevant to this research was published by [] zm"\D vN)  
52. []'s model requires consideration of... Cn55%:  
53. []' model draws attention to evolution in human development OMZT\$9yT  
54. []'s model focuses on... g}D$`Nx:  
55. Little research has been conducted in applying ... to BmM,vllO  
56. The published information that is relevant to this research... *Q>:|F[vM  
57. This study further shows that LBE".+  
58. Their work is based on the principle of 35>}$1?-6  
59. More history of ... can be found in xx et al. [1979]. f@{C3E dd  
60. Studies have been completed to established 6Te}"t>  
61. The ...studies indicated that c`+ITNV  
62. Though application of xx in the filed of xx has proliferated in zb" hy"hKw  
recent years, effort in analyzing xx, especially xx, is lacking. {eXYl[7n  
Problem / Issue / Question Lm?*p>\Q  
63. Unfortunately, real-world engineering problems such as wgyO%  
manufacturing planning do not fit well with this narrowly defined `[KhG)Y7t  
model. They tend to span broad activities and require consideration e !yw"Cf*  
of multiple aspects. -1:Z^&e/  
64. Remedy / solve / alleviate these problems m\f_u*  
67. ... is a difficult problem, yet to be adequately resolved V\"5<>+O  
jE#8&P~  
68. Two major problems have yet to be addressed w b[(_@eZ  
69. An unanswered question 78)^vvn5~  
70. This problem in essence involves using x to obtain a solution. Q8x{V_Pot  
71. An additional research issue to be tackled is .... ^{s0d+@{  
72. Some important issues in developing a ... system are discussed PR?clg=z  
73. The three prime issues can be summarized: [S:)UvB  
74. The situation leads to the problem of how to determine the ... {wP|b@(1t  
75. There have been many attempts to ^0Q*o1W  
76. It is expected to be serious barrier to \zU5G#LQ  
77. It offers a simple solution in a limited domain for a complex 1VFqT'  
problem. [MS.5+1Y  
1. There are several ways to get around this problem. mPin\-I  
2. As difficult as it seems to be, xx is by no means new. \NU [DHrMP  
3. The problem is to recognize xx from a design representation. MuGg z>CV[  
4. A xx problem can trace its roots to xx. qJU)d  
5. xx [1987] used a heuristic approach to simplify the complexity of #&83;uys  
the problem. F5+_p@ !i  
6. Several problems are associated with them. A#S:_d  
7. Although some progress has been made in this area, at least two 7[BL 1HI*  
major obstacles must be overcome before a fully automated system io7U[#  
can be realized. Ok&>[qu  
8. Most problems in practice are complicated %uVJL z  
9. More problem surface here. /dt!J `:  
10. Hamper effort toward a xx system |o zoc"'  
11. In order to overcome the limitations due to incomplete and z L'IN)7MU  
imprecise xx knowledge, a xx program has been developed, which ;&6PL]/d  
bases its knowledge upon the statistical analysis of a sample wp.e3l  
population of xx Q5nyD/k4c  
12. The above difficulties are real challenges faced by researchers ^ :DhHqvK  
attempting to develop QX.6~*m1  
13. This type of mapping raises no controversy to the issue of m}[~A @qD  
membership function determination. /Jf`x>eiH  
14. However, attempts to quantify the xx have met both theoretical |vN@2h(|"  
and empirical problems. F[D0x26 ^  
M |?p3%  
15. It has become apparent that in order to apply this new '$h @  
methodological framework to real-world problems and data, we have I"32[?0 (;  
to pay attention to the problems of xx and xx. nP\V1pgA  
Chapter 3. Proposed methodology QeeC2  
Assumption >'-w %H/  
1. In the case when the assumption of a xx seems to be too ]9&q'7*L  
restrictive or inadequate, the formulation with Fuzzy termination (_qBsng:  
time, i.e. given by a fuzzy set in the space of control stages, may be uxC   
applied. =HV-8C]  
2. We assume here the fuzzy constraints to be state-dependent, and \As oeeF  
the fuzzy goal to be the same for all the control states, xx, which NnLhJPh  
stems from the problem's nature. y|;8:b32  
3. An approach to the solution of this problem is presented under the dD^_^'i  
assumption that the sampling rate Decision can be made prior to the u1) TG "+0  
execution of the experiment, as opposed to being made while the / }XsuH  
experiment is in progress. VUy)4*  
4. Another assumption made above is that there are precise odds at Krr?`n  
which the expert is indifferent. 5&HT$"H :  
5. Main simplifying assumptions are: 9IvcKzS 2  
6. This, in our view, is a questionable assumption. 7"n1it[RJ8  
Outline / Structure / Module NT;x1  
1. An outline of the research >2lAy:B5  
2. Information is incorporated within the scheme fs rg2:kQ  
3. Is built into ... structure <RoX|zJw  
4. A nice modular structure. )7I.N]=  
5. The principles of ... are applied as modularized criteria JMirz~%ib  
Classification jA-5X?!In  
1. A xx system comprises three main components: \za5:?[xB  
2. Must decompose the original .. into a set of .. mo|PrLV  
3. Consists of the following steps: 5mna7 BCEb  
4. This is summarized in the following steps: -B*<Q[_  
R(2HY Z  
5. Can be broadly classified into the following areas: 2H?I'<NoC  
6. Can be characterized by its function of effectively processing the O^X[9vr W  
7. Can allow further breadth of application of ...into more vZ[ $H  
8. The following steps should be followed vbRrk($`  
9. xx can be classified by a different ways. 4-]Do?  
10. Based on the xx, one may classify xx into the following: b`h%W"|2L  
11. This catalog may change due to wear, breakage, and purchasing. h/ LR+XX!  
System W(uP`M%][0  
1. Unlike many conventional program, expert systems do not $[M} K  
usually deal with problem for which there is clearly a right or wrong U`bC>sCp  
answer. fa!3/X+  
2. The system consists of both ... and ... 1u"R=D9p,=  
3. The system has a hierarchical modular architecture organized on %rpR-}j  
three levels. 5 ,HCeN  
4. expert system domains are area of expertise g.[+yzuE6  
5. To develop a xx system for xx, the following factors must be *[d~N k%Y$  
considered: v87$NQvwQ  
6. The system has been developed / designed to determine Lnh':7FQJx  
7. The system has proven to be able to S2J#b"Y  
8. The domain in which an expert system operates is a particular G$;>ueM  
domain X'V+^u@W  
9. The system comprises a ... with TK; \_yN  
10. The system is [feature-oriented ] / based on the ... technique 8w)e/*:j  
11. The system environment must be relatively stable 8ivRp<9  
12. The system is utilized to generate, load, store, update and ;Y Dv.I  
retrieve ... uk`T+@K  
13. The development of a xx system has two stages: xx stage and xx !"g=&Uy&  
stage. i Td-n9  
14. The most essential part of .. system is the ... jg~_'4f#  
15. The successful developments in ESs have made them an q<-%L1kc 1  
important tool in the development of yJnPD/i  
16. An automated system was developed for :&Qb>PH[  
17. In this case, the system can be considered to be generative. sS C?io  
]}BB/KQy^  
18. An interactive automatic ... system fH-NU-"  
19. A …. is commonly thought of as a truly integrated .. system iPMB$SdfO  
20. Should be capable of being generated from a ... system @Ppo &>  
21. xx is an important part of the integrated system. y& 7YJx  
22. The model consists of four rule bases, each of which addresses a q#;BhP c  
separate problem in the hierarchy of scheduling decision. JYPxd~T/-  
23. The rule bases are linked to each other in a chin-like manner in -r!42`S  
the sense that the consequent of one rule base constitutes a part of &kb\,mQ  
the antecedent of the next rule base. $9G3LgcS  
24. The rule base consists of all possible combinations of the |-|jf  
linguistic terms associated with the linguistic variable of the Z,3 CC \  
antecedent of a rule. ]x2Jpk99a  
Computer System l$M$o(  
1. The system has been implemented using Prolog language in an |Z d]= tue  
MS-DOS environment. Prolog was chosen because it offers a well F@9Y\. ,  
known and flexible environment in which fuzzy reasoning may be 5)mVy?Z   
easily implemented. 26M~<Ic  
2. The current version of the xx program when compiled with ^b=XV&{q  
WATFOR77 results in an executable code of about 270K bytes. (s0 88O  
Typical run time, when run on a XX computer (an IBM compatible l1}R2lSEO  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min )i @1X H"D  
to 2h, depending on the size (or complexity) of the problem. KCD 5*xH  
3. Time consuming procedures have been implemented in J2'K?|,m  
C-language and directly linked to the Prolog environment. NS Np  
4. The xx process, once the xx's data has been entered, requires b7!UZu]IEv  
approximately 180 seconds. 0rcjorWI  
5. It should be noted that the computation was done with a 20 Hhz, ~ Yl<S(/4  
80386..209;based microcomputer equipped with a 80387 math s{ =5-:  
co-processor. +5-]iKh  
6. The computer programs used for the analyses, one based on the xx Yc d3QRB  
method and the other based on the new method, were written in ]/_G-2.R  
FORTRAN with a compiler that supports the math co-processor. M\ dO({o  
7. Lisp, Prolog give maximum flexibility but also maximizes ) o xIzF  
dhW<p 5  
development time.  \dTQQ  
l Internal representation is the way a model is represented in the ~5ubh2{  
computer. R4SxFp  
l An interactive menu-driven procedure is used in this study "7d.i(vw  
l Shell can be develop very fast at the cost of time fairly severe .uKx>YB}  
limitations.  g#qNHR  
l While there is no measurable saving of time for the case involving 7b46t2W<  
five criteria, the saving is dramatic for the case involving 10 criteria ESIzG aM  
-- the computation time reduces from 10 hr 40 min to about 1 min. HlPG3LD!  
l This combination is being implemented in an objected-oriented @zrNN>  
programming environment (Smalltalk-80 system) to solve problems # kEOKmO  
encountered in construction xxx. i b]vX-  
Method / Approach / Study / Process Model / Equation /Algorithm / +0"x|$f~  
Rule / Formula / Technique th  ptm  
l A discussion is presented of a problem-solving system cOb4c*  
l To improve the efficiency of the method, the following approach D%U:!|G  
may be applied. q@kOTkHv)  
l In order to an investigation was made to find the causes of the "yW&<7u1  
l Although large collections of rules and equations have been %$TEDr!  
complied, none are generally accepted k" YHsn  
l This approach will be explained and discussed thoroughly in the 4LsHs   
body of the report. 9U^$.Lb  
l This can be accomplished by W2eAhz&  
l This algorithm to compute the total cost can be described step by  so fu  
step as follows: 9tk" :ld  
l The above preliminary analysis has provided important +j [`,5oS  
information LeHiT>aX!  
l Various methods have been proposed for selecting an optimum... HE;V zR  
l These concepts have been applied to :}9j^}"c3  
l On the basis of the concept mentioned above, FZXyfZw!|  
l This can be achieved by {155b0  
l This fact suggests that a new concept O@jqdJu  
l This was accomplished by taking ... 1,`H:%z%  
k)":v3 ^  
l The preparatory stage is very time consuming process. V"#Jk!k9k  
l Test are performed for validity, completeness, and compatibility b/<mRQ{  
l There is little hope of achieving successful ... K\&o2lo]  
l There has been an increasing awareness of the potential of using Oq+E6"<y;?  
most ..so far made have not taken this approach, with the exception vv.PF~:  
of =yqHC<8:  
l Only a few studies can be found. vT7g<  
l It is a very tedious process to go through <9ifPSvJ  
l It is only when .. has been completed that .. may be effected N:x0w+Ca  
l The entire interpretation process is conducted in one's head. >F3.c%VU]w  
l These approaches are sometimes very tedious. `4 UlJ4<`  
l Several techniques can be used jG D%r~lN  
l A polynomial parametric model can be written as [the o| D^`Z  
following]/[follows]: <>=mCZ2  
l A xx model is constructed/formulated using xx. {/}^D-  
l A xx model represents an xx by its xx. @6&JR<g*t  
l A process decision model captures the logic essential to V1<`%=%_W  
l From the equation above, xx is equal to the summation of xx X:=c5*0e  
times the ... 6 h'&6  
l The validity of a xx model can be checked using Euler's formula. $|a;~m>  
l Given a model, one can mathematically determine whether ... or ... G7-!`-Nk  
l Equations for xx need to be derived and implemented in the "C74  
system. qLjT.7 .x  
l A number of heuristic rules have been developed for MzTW8  
l Optimum .. techniques can be made more reliable by ... so that s".HEP~]=  
l An algorithm based on the characteristic ... is used to determine 1 Z[f {T)  
l Euler's formula states the following: Gvx[ 8I  
l The completed model should agree with the formula. *Km7U-BG  
l For manufacturing purposes, a detailed and precise model of the ' *R%^RK  
object is necessary R^8{bP  
l Engineering design models are very well defined; therefore, [,g~m9  
l To keep the domain narrow enough to be implementable, yet wide 3M<!?%v\A  
enough to 3?E}t*/  
be useful. 97LpY_sU  
h6M;0_'  
Point of View SY _='9U  
l from an implementation standpoint, KCtX $XGL  
l From the point of view of this application, BSzkW}3q9  
l From this point of view, Zadeh suggested an inference rule named {-WTV"L5*2  
xxx (CRI for short). C1fyV]  
l Information is the meaningful interpretation and correlation of @8gEH+r  
some aggregation of data in order to allow one to make decisions. 5 Op_*N{V  
l From a practical point of view, the computational aspects of an EW(J5/mn  
FLC require a simplification of the fuzzy control algorithm. p FO^/P'  
l The use of a hammer to insert screws, although partly effective, flnVYQe  
tends to distort, destroy, and generally defeat the purpose of using a 8cdsToF(e.  
screw [Kusiak AI Implications for CIM p.129] U Cb02h  
Justification T V:<T R  
l We choose the so called xx in our experiment because it has f RHKQ(a#  
received wide acceptance and can !OE*z $\  
l Prolog was chosen because it offers a well known and flexible CqoG.1jJS  
environment in which fuzzy reasoning may be easily implemented. N|d D!  
l The rationale behind this is that it can be much easier for an [Z<Z;=t  
estimator to rate a cost as high than to attempt to place a dollar k-jahm4  
value on the estimate. IeTdN_8  
l This strategy has been widely used in fuzzy control applications jk7 0u[\  
since it is natural and easy to implement. nhH;?D3  
l A function definition expresses the membership function of a ' [p)N,  
fuzzy set in a functional form, typically a bell-shaped function, etc. K&_Uk548  
Such functions are used in FLC because they lead themselves to xJhU<q~ ?  
manipulation through the use of fuzzy arithmetic. 8<dOMp;}r  
l It should be noted that in our daily life most of the information on GP,<`l&  
which our decisions are based is linguistic rather than numerical in O4|2|sA  
nature. Seen in this perspective, fuzzy control rules provide a natural p 2 !FcFi  
framework for the characterization of human behavior and decisions HW6.O|3  
analysis. r>n" 51*  
l Many experts have found that fuzzy control rules provide a &ab|2*3?X  
jRj=Awy  
convenient way to express their domain knowledge. This explains !G?gsW0\h  
why most FLCs are based on the knowledge and experience which :b /J\  
are expressed in the language of fuzzy "if-the" rule. ; O=h$8]  
Chapter 4. Examples Lp&k3?W  
Example/ Data q,l)I+  
l The data used in the following example was taken from an ejePDgi_[  
experiment in which xx was measured between x and x using a xx +4)7j&L  
technique. qx)?buAij  
l The data consists of over xx measurements. JK )qZ=  
l An example of xx is discussed and the control rules of xx are 0b-? q&*_  
compared with a xx ;hDa@3|]34  
l Examples of complex processes to which this technique may be _D;@v?n6!O  
applied are xx, xx, etc. ^v ni&sJ  
l The following example is constructed only for the purpose of W Fv!Pbq,  
illustrating the computational procedure discussed. }iiHr|l3  
l This example clearly demonstrates that the profile of an individual {qpi?oY  
xx, or a very small group of xx, with no enough data to be studied #1/}3+=5B  
statistically, can be meaningfully analyzed by fuzzy possibilistic SN Y (*  
methods. c:hK$C)T  
l There is no space here to go into detail on all these methods, but $:bih4 @>  
deserve a mention and the bibliography will point to detailed 9;=dxWf   
references for those wishing this level of detail. 7{M>!} rY  
l Note that the golf ball spotting example is used throughout the M0'v&g  
paper. $P {K2"Oc  
Comparisons + ,4" u  
l As well, the pros and cons of these representations from a process S\ ,mR4:  
planning point of view will be discussed. N|Cs =-+  
l The method of using xx to implement xx described by Zadeh 5W? PCOh\  
(1973) appeared more suitable Va<eusl  
l As discussed [in the previous section]/[preciously], YZwaD b  
-K %5(Eg  
Relation v/Pw9j!r;m  
l We can not invert F' directly because it defines a many-to-one 2& LQg=O  
mapping. }SfbCa)UO  
l The relationships appear very complicate (/{aJV  
l Lifting tasks involve complex and imprecise relationship between 4 gBp8*2  
the task variables and the human operator's characteristics. t;q7t!sC]  
l These methods are based on the relationship between ... and ... %& blJ6b  
l The fundamental concept of a fuzzy rating language is that we can |(R5e  
establish a relationship among terms such as high, medium, and low, C*kK)6v `  
and then modify these relationships. ocRdbmS  
l This article will thus mention the latter as well as the former. ` }gbc69  
l The former two bear a close relation to a fuzzy Cartesian product. >t+ qe/  
Importance F`+\>ae$h  
l The emphasis is on an implementation of a general approach to ,[rPe\w.z  
rule based decision making. :QQlI  
Consideration / Attention hvV_xD8|  
l Careful evaluation is necessary to ensure Xq#Y*lKVD  
l Such a formulation does not change further considerations. |`rJJFA  
l Considerable attention has been paid to vDj;>VE2b  
l Attention should be paid to an important finding of this B;#J"6w  
investigation. ~Qj}ijWD  
l Caution should be exercised in this process to avoid ... B|Wk?w.{r\  
l Primary consideration is given to ... components, though others b'p4wE>  
can be accommodated +b$S~0n   
l After ... has been defined by ..., a carefully analysis is carried T2'RATfG  
out/performed to determine 7{kP}?  
l A number of factors such as ...need to be taken into consideration %/9;ZV  
before making the appropriate decision. \}*k)$r  
l It should be noted that @'FE2^~Jj  
l It is important to point out that ... :*i f  
l These considerations have heightened interest in the possibility of f'En#-?O  
providing ... <O~WB  
*s4\\Wb=  
l We should stress the fundamental importance of the xx @\P4/+"9  
Chapter 5. Results. ;iYff N  
Advantages / Disadvantage oDB`iiBXQ  
l One of the major advantages of this new measure of xx is that it w!^~<{ Kz  
can be applied to the experimental study of Q\Kx"Y3i  
l One advantage of using a .. is the ease of preparing it. O'*@ Ytn  
l The xx system is versatile 1`bl&}6l|E  
l It has a very fast decision making process IND]j72  
l All the algorithms involve mostly logical operations. MmTC=/j  
l It can be easily and without additional cost implemented in a N!&:rK  
microprocessor-based environment. }CGSEr4'w~  
l It can reduce the waste of designing from scratch. "hz\Z0zg2  
l The advantages of using a xx to represent xx are the following: JC?N_kP%W  
l However, xx is not without its shortcomings.  UL@9W6  
l In most cases, the xxx shows an improvement over the existing v;1F[?@3Y  
xxx. J%C#V}z7E  
l Compared to the existing xx, the impacts of the xx are generally C(T;>if0NH  
reduced by 5% to 9%. RI n9(r  
l The "best case" results shows a savings of 6% to 9%. .4y>QN#VL  
l Most of the existing works based on xx approach can only bru/AZ#de  
recognize a xx . lK7m=[ j  
l Most of the above methods are computational expansive and Mj=$y?d ]  
limited to xx. Ey[On^$  
l Some other advantages of xx are the following: ~V=<3X  
l The problem is the limitation of this method to a limited domain of t(!r8!c u}  
parts. |]=2 }%1w  
l It proved limited in application because it demanded precision in ti5HrKIw  
system modeling that was impossible in practice. MxQ?Sb%Gka  
l There are advantages to be gained in the structuring of costs and "Ml &[O ge  
benefits, the use of xx, Sw&!y$ed  
l The disadvantages of this method are also disadvantages of TJ8E"t*)  
conventional xx approaches. x`R Tp:#  
d5 Edu44  
l This combines the best features of both techniques h0vob_Fdl  
l Hopefully, this tool can be as the reference framework of for BI?@1q}:  
developing a xx platform, and helping the administration, marketing, 6M.;@t,Y  
and knowledge management activities in virtual communities. (6 p]ZY  
Results <|Yj%f  
l An improvement on the result shown above can be made by based M6r^L6$N  
on the data provided kUx&pYv  
l Discussion of these theories is beyond the scope of this review w2O!M!1  
l Based on the information contained in this xda; K~w  
l The result can be categorized into nine classes U).*q?.z  
l The results are illustrated by an example ?YM4b5!3T  
l The experimental results for each xx time are reported in Table 2. %h"z0@+  
l From the results obtained so far, it seem that w@\vHH.;V  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn Q cjc ,  
as 5l-mW0,MK  
l Although much effort has been made to., this reality is far from _/*U2.xS  
completion. 2 !" XzdD  
l The results indicate that the total benefits are higher than the SHb(O<6  
total costs. ]&~]#vB#  
l Their results may then serve as guidelines for lower level models, BElJB&I  
less fuzzy and more detailed. JPM))4YDR  
Chapter 6. Conclusion X;F?:Iw\  
l From the discussion, one may conclude that ... e}VBRvr  
l Form the above discussion, the conclusion can be reached that ^taBG3P  
l The conclusions drawn are also valid ,vqr <H9e  
l In conclusion to this, it becomes obvious that the problem of xx v4miU;|\  
lies not only in... vKwQXR~C  
l We have attempted to introduce some concepts associated with a 0Z<I%<8bK  
theory of o'~5pS(wq  
xx based on fuzzy sets. 7+TiyY]K  
l Considerable more work, hopefully, will be done in this area Sw`RBN[ yo  
l A fuzzy set procedure is proposed to solve xx selection problems depYqYK7G  
+(D$9{y   
interwoven with imprecise data :f5s4N  
l Employing the compositional rule of inference, the assessment of :M{Y,~cP  
the xx compatibility in achieving prescribed xx projectiles in any iGDLZE+?  
level of the hierarchy is made possible. ]{ BE r*  
l This paper has presented a theoretical and experimental study of {*ZY(6^  
the xx process and xx concept. n 26Y]7N  
l The experimental research results will hopefully serve as useful 8By,#T".  
feedback information for improvements for xx work. I]Tsz'T!9  
l The scope of this contribution was to introduce a xx method. ]W0EVf=,k  
l In general, fuzzy sets theory provides an alternative foundation S|rgCh!h  
for xx analysis in a fuzzy environment. 6ZgU"!|r  
Future Research to8X=80-3  
l Thus, first extension of the approach could be, TvNY:m6.%  
l Present some cues for a further approach from Fuzzy Sets Theory kpbm4t  
application to YJs|c\eq?  
l Some improvements to the scheduling aspect of the model may xR"M*%{@0  
be brought through additional levels in the hierarchy for more o]{uc,  
detailed representation of the scheduling activity. S.B<pj gt  
Tables and Figures t:JI!DR  
l Figure 7-1 sketches these relationships. Iu~\L0R427  
l The graphical representation of these functions is shown in Figure ;TcvA  
1. j` E +qk  
l The xx may be depicted as in Figure 1. S~qZr  
l Figure x shows the schematic diagram of the Y $g$x<7  
l Figure 1 though 2 provide a ... that wpA`(+J  
l the architecture of this expert system for .... is illustrated in Figure G>YAJ o  
2. a</D_6 6  
l Figure 2 gives the outline of an ... system ; )Kh;;e  
l Table shows the xX0-]Y h:  
l as shown in Table 1 and 2 d"G+8}.4  
l This concept is illustrated in Figure 2 h0?2j)X_  
l At the top of Table xx are shown two blocks of data. /$n ~lf  
C ]Si|D  
l Each table or matrix has constructs xx through xx as ~,D@8tv  
row-headings, `"iY*  
xx through xx as column-headings. >$gG/WD?KR  
l A table of .. is developed and significant recommendations are -K(fh#<6KO  
made. $@\mpw ANl  
CONJUGATION : "6q,W  
To Indicate Addition $d+DDm1o  
l additionally, again, also, and then, as can be easily understood, f:zFFpP.j@  
besides, equally important, especially, finally, for the same reason, OE)~yKy  
first, further, furthermore, in addition, last, likewise, moreover, next, YL jHt\  
second, third, too, evidently, obviously, roughly speaking, broadly _!xD8Di#  
speaking 2)?(R;$,  
To Indicate Cause and Effect -]C c  
l accordingly, as a result, consequently, for this reason, hence, in e73^#O&Xt  
short, otherwise, then, therefore, thus, truly  "SN4*  
To indicate Comparison GwsY-jf  
l in a like manner, likewise, similarly , alternatively |VOg\[f  
To Indicate Concession A]`El8_t"  
l after all, although this may be true, at the same time, even though, !.7udYmB  
even so , I admit, naturally, of course He0=-AR8  
To Indicate Contrast ]"AyAkT(  
l and yet, at the same time, but, for all that, however, yet, in fact, in d "BW/%m|g  
contrast, in the real life, in spite of, nevertheless, notwithstanding, r#WT`pav  
normally, on the contrary, on the other hand, still, traditionally, HLQ"?OFlz  
rather, unfortunately, ?&WYjTU]H  
To Indicate Time Relationships: B;Nl~Y|\  
after a short time, afterwards, as indicated earlier, as long as, as soon TAL/a*7\  
ArLvz5WV  
as, at last, at length, at the moment, at that time, at the same time, #gQF'  
before, earlier, currently, immediately, in the meantime, in recent k'`m97B  
years, lately, later, meanwhile, often, of late, presently, recently, g*\/N,"z  
soon, shortly, since, thereupon, temporarily, therefore, until, when, ,O=a*%0rt  
while 2.}R  
To Indicate Special Features or Examples: ~Y= @$!Uq  
for example, for instance, incidentally, indeed, in fact, in other words, 0X..e$ '  
in particular, in practice, specifically, that is, to illustrate, in this L^kp8o^$  
respect, theoretically, as mentioned before / above NW$H"}+o  
To Indicate Summary: W!$zXwY}(  
in brief, in conclusion, in short, in summary, on the whole, to Qz<d~ N  
conclude -y) ,Y |  
, in general, to summarize, to sum up, as a result, ultimately, )!9Ifk 0KH  
VERB PHASE dtM[E`PL  
l build a .. model  u'Q?T7  
l build up the key link ;sdN-mb  
l began a new era in ... =1/NFlt8  
l can be regarded as / achieved / used to/for / found / obtained cl[!`Z  
through n[xkSF^)  
l can result in XY7Qa!>7j  
l carries out ... tasks [um&X=1V8  
l production information in order to simultaneously 33l>{(y  
l contains all information necessary to describe H(+<)qH  
l do not make use of production information D  _X8-  
l deals with <T,A&`/  
l end with failure yFIy`9R  
l fetch the information from the model directly wjU.W5IR  
l has great potential / yet to be resolved / spurred the cleOsj;S  
development of / ?v]-^X=&  
been recognized as O0~vf[i];  
l BE aimed at / built up / carried out by / essentially concerned O>r-]0DI[  
>X}{BDMb.  
with / considered to be the key technology / associated with each )-P!Ae_.v  
feature of a compo dZ2%S''\  
site component / cable of / currently implemented for / >O{7/)gS^  
demonstrated by an example / finally reached / made equal to / I %_MV  
equivalent to / more suitable to / oriented to / interpreted as / |g)FA_#|<  
pointed out / potentially of great benefit in the complex task of / uF(k[[qaiN  
shown in / used to effectively guide the search B:oF;~d/,  
l makes use of r((Tavn  
l make up wvc>0?t'  
l meets the needs of real life production,/ the current demands "X1vZwK8N  
placed upon it i s"vekC  
l must be justified QEJGnl676  
l point out R"xp%:li  
l play an important role Z[#IfbYt  
l relates to 83;IyvbL  
l rely on [, f)9v)  
l satisfy the needs `7Ug/R<  
l determine the total requirements for the ... <! x+e E`  
l uses ... as a key to search for... tB6k|cPC  
l without relying on `| 9Ku  
l will be available/ performed/ overlooked Pn WD}'0V  
NOUN PHASE ,+L KJl  
l a basic technical function of }C6@c1myq-  
l a critical need c?6d2jH.  
l a key / principle feature of F-0Ud V  
l a substantial impact on v[#)GB _5  
l an intensive review was conducted D1"7s,Hmu  
l an increasing need for expanding the application of .... c~tAvDX  
l an important component / function / aspect / issue 0 -xCp ~vE  
l each rule is numbered in sequence n6f3H\/P&  
l each of these involves f'{>A Ki=C  
l for this calculation, it is necessary to define TlPVHJyt  
l in the physical environment / integration of gue(C(~.k_  
MW@DXbKVl  
l in the reality of situations where … $L{7%]7QC  
l many aspects of j[DIz@^  
l most past efforts have been spent on ... h([0,:\  
l common sense to a well studied and documented technical field.  KOS yh<&  
l sources of additional information on ... are listed /yYlu  
l systematic and rationally structured format T-P@u-DU  
l the basis on which a range of ...operations can be established is ,L%p  
shown JuJ5qIal  
l THE basic philosophy / principles of / key element / general && C~@WY,r  
hypothesis / candidate list of / concept of ... has attracted wide iQqbzOY  
interest / function is concerned with / heart / impact / nature / role (3fPt;U  
/ task of / kernel functions T Nci.']  
l the number of parts needed to \Da~p9 T&  
l the above statement means that Yq;&F0paK  
l the output data is passed to OK\]*r  
l the proposed method / underlying principle  y h-9u  
l the recommendations made in this report, if implemented, should VRhRwdC  
l this information resides in =g2\CIlVU6  
l this process is composed of ... different ... operation 0*{p Oe/u  
l along with the use of $K=z  
l concerning general aspects of mh8nlB  
l due to B}5XRgq  
l for later use in generating..., L&HzN{K  
l in turn, ^V,@=QL3U  
l IT IS believed / noted / assumed / suggested / shown / quite 3mA/Nu_  
evident / appears / implies that / intended for / of no important to -9Xw]I#QR  
l it can be claimed/concluded that <w11nB)  
l it demonstrates the decisions required of | VRq$^g  
l it also provides information to .. bgXc_>T6_y  
l it becomes essential to s.e y!ew  
l let ... be the probability that ZArf;&8  
l once... is written, it is compiled into... @f' AWeJ2  
l suppose it is observed that %w%zv2d  
l this is because "U{mMd!9L  
Ot"(uW4$[  
l this results in a 8Nv-/VQ/b  
l upon completion of the ... analysis, /^WE@r[:  
l when the knowledge is of mathematics or quantum physics, it will 7dx4~dF  
also be Z~B+*H F  
recorded in books and papers QD6Z=>?S  
l selection of rules for using the tools, for generating operation ";58B} ki  
plans, P:vX }V |[  
is another matter of preference, since practice varies greatly. m R"9&wq  
l for the sake of convenience UvoG<;  
l correct decision to be reach 0c{Gr 0[>  
l keeping the number of rules to a minimum. Z'Zd[."s  
l a good process plan will result exhibiting several characteristics: (jt*u (C&Y  
l practical solutions Zr~"\llk  
l because of rather small job lot sizes ]*;RHy9  
l Backward reasoning can be used to answer the question "should zh?xIpY  
milling tool be select" different level of knowledge in the realm of 8~rT  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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