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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 PIR#M('  
K1>X%f^  
UCG8=+t5T  
Beginning 4[m})X2(  
1. In this paper, we focus on the need for {; #u~e(W  
2. This paper proceeds as follow. }{T9`^V:h  
3. The structure of the paper is as follows. a\;1%2a  
4. In this paper, we shall first briefly introduce fuzzy sets and related Cuu yG8  
concepts Q&+Jeji  
5. To begin with we will provide a brief background on the QK%N t  
Introduction TRP#b 7nC  
1. This will be followed by a description of the fuzzy nature of the QZ?#ixvJ  
problem and a detailed presentation of how the required yHhx- `  
membership functions are defined. hgIqr^N9  
2. Details on xx and xx are discussed in later sections. P 4Vi~zMX  
3. In the next section, after a statement of the basic problem, various rQmDpoy=  
situations involving possibility knowledge are investigated: first, an KYE)#<V}@  
entirely possibility model is proposed; then the cases of a fuzzy 1(%9)).K  
service time with stochastic arrivals and non-fuzzy service rule is i7 $4i|  
studied; lastly, fuzzy service rule are considered. nhV\<  
Review >QyJRMY  
1. This review is followed by an introduction. paKur%2u  
2. A brief summary of some of the relevant concepts in xxx and xxx is kY>jp@w V  
presented in Section 2. e&~vO| 3w%  
3. In the next section, a brief review of the .... is given. Kny0 (  
4. In the next section, a short review of ... is given with special regard gu?e%]X3  
to ... CD^C}MB  
5. Section 2 reviews relevant research related to xx. 6 /-]  
6. Section 1.1 briefly surveys the motivation for a methodology of Ov$>CA  
action, while 1.2 looks at the difficulties posed by the complexity of Xir ERc.e  
systems and outlines the need for development of possibility s;brs}  
methods. f^JiaU4 [  
Body zM+4<k_dH]  
1. Section 1 defines the notion of robustness, and argues for its wnioIpRkh  
rX7GVg@H  
importance. Eep~3U  
2. Section 1 devoted to the basic aspects of the FLC decision-making [8C|v61Y  
logic. F u>  
3. Section 2 gives the background of the problem which includes xxx |>^5G@e  
4. Section 2 discusses some problems with and approaches to, :g%hT$,]3b  
natural language understanding. dU}Cb?]7s  
5. Section 2 explains how flexibility which often ... can be expressed y^!>'cdV  
in terms of fuzzy time-window V0)bPcS/  
6. Section 3 discusses the aspects of fuzzy set theory that are used in s5bqS'%  
the ... *S xDwN  
7. Section 3 describes the system itself in a general way, including +3yG8  
the ….. and also discusses how to evaluate system performance. N#``(a  
8. Section 3 describes a new measure of xx. {EfA#{x  
9. Section 3 demonstrates the use of fuzzy possibility theory in the _sb~eB~<(  
analysis of xx. 4s s 4O  
10. Section 3 is a fine description of fuzzy formulation of human zRU9Q 2Y  
decision. f+ cN'jH E  
11. Section 3 is developed to the modeling and processing of fuzzy LR "=(  
decision rules {|d28!8w  
12. The main idea of the FLC is described in Section 3 while Section 4 9 NGKh3V  
describes the xx strategies. M7[GwA[Z +  
13. Section 3 and 4 show experimental studies for verifying the oE.Ckz~*d  
proposed model. /[=Yv!  
14. Section 4 discusses a previous fuzzy set-based approach to cost uTdx`>M,O  
variance investigation. {RGQX"k  
15. Section 4 gives a specific example of xxx. f,|g|&C  
16. Section 4 is the experimental study to make a fuzzy model of i]#"@xQ  
memory process. 3PjX;U|  
17. Section 4 contains a discussion of the implication of the results of &^UT  
Section 2 and 3. \.aKxj5  
18. Section 4 applies this fuzzy measure to the analysis of xx and ?f$U8A4lp  
illustrate its use on experimental data. +7Uv|LZ~@  
19. Section 5 presents the primary results of the paper: a fuzzy set d,b] #fj  
model .. ih|;H:"^  
z~-(nyaBS  
20. Section 5 contains some conclusions plus some ideas for further ?y]R /?  
work. eslvg#Q  
21. Section 6 illustrates the model with an example. .Y|wG<E  
22. Various ways of justification and the reasons for their choice are h<Ct[46,S  
discussed very briefly in Section 2. dVPY07P  
23. In Section 2 are presented the block diagram expression of a .V R ~[aD  
whole model \11+~  
of human DM system QE8 `nMf  
24. In Section 2 we shall list a collection of basic assumptions which ,1g_{dMx  
a ... scheme must satisfy. 9Trk&OB  
25. In Section 2 of this paper, we present representation and !7f,gvk  
uniqueness theorems for the fundamental measurement of fuzziness o[1#)&  
when the domain of discourse is order-dense. op@=0d??  
26. In Section 3, we describe the preliminary results of an empirical bSz@@s.  
study F @<h:V VP  
currently in progress to verify the measurement model and to obGhO  
construct membership functions. s q;!5qK  
27. In Section 5 is analyzed the inference process through the two ie11syhV"  
kinds of inference experiments... l[]cUE  
This Section +?W4ac1  
1. In this section, the characteristics and environment under which 2~ 4&4  
MRP is designed are described. DSRmFxkk  
2. We will provide in this section basic terminologies and notations d``wx}#Uk  
which are necessary for the understanding of subsequent results. $hHV Ie]+  
Next Section L+VQtp &"  
2. The next section describes the mathematics that goes into the  s_}6#;  
computer implementation of such fuzzy logic statements. yf;TIh%)=  
3. However, it is cumbersome for this purpose and in practical |V4<eF-0S  
applications the formulae were rearranged and simplified as .P`QCH;Ih  
discussed in the next section. }zS5o [OE  
4. The three components will be described in the next two section, o$Ylqb#  
and an example of xx analysis of a computer information system will [= BMvP5  
G@`ZDn  
then illustrate their use. c{dabzL y  
5. We can interpret the results of Experiments I and II as in the Qclq^|O0  
following sections. j#2E Q  
6. The next section summarizes the method in a from that is useful `Oi#`lC\  
for arguments based on xx f1v4h[)-  
Summary ;2\6U;  
1. This paper concludes with a discussion of future research 122s 7A  
consideration in section 5. oPF]]Imu  
2. Section 5 summarizes the results of this investigation. Rzh.zvxTp  
3. Section 5 gives the conclusions and future directions of research. ;x 2o|#`b  
4. Section 7 provides a summary and a discussion of some extensions $Hj;i/zD  
of the paper. JB].ht  
5. Finally, conclusions and future work are summarized 8Z_ 4%vUBg  
6. The basic questions posed above are then discussed and j)Ak:l%a  
conclusions are drawn. Q K#wsw  
7. Section 7 is the conclusion of the paper. L'S,=NYXY  
Chapter 0. Abstract })P!7t  
1. A basic problem in the design of xx is presented by the choice of a +0z7}u\x  
xx rate for the measurement of experimental variables. j*gJ P !  
2. This paper examines a new measure of xx in xx based on fuzzy @v ^j<B  
mathematics which overcomes the difficulties found in other xx G"E_4YkJ  
measures. i>,AnkI&  
3. This paper describes a system for the analysis of the xx. OqDP{X:  
4. The method involves the construction of xx from fuzzy relations. ;Su-Y!&%  
5. The procedure is useful in analyzing how groups reach a decision. Xpn\TD<_I  
6. The technique used is to employ a newly developed and versatile Wh| T3&  
xx algorithm. $C5*@`GM$  
7. The usefulness of xx is also considered. Y 0Fq -H  
8. A brief methodology used in xx is discussed. sH;_U)ssH  
9. The analysis is useful in xx and xx problem. vi UJ4Pn  
10. A model is developed for a xx analysis using fuzzy matrices. Z:7eroZP  
11. Algorithms to combine these estimates and produce a xx are >@Ht*h{~  
5!fYTo|G>  
presented and justified. V0_tk"  
12. The use of the method is discussed and an example is given. irD5;xk([  
13. Results of an experimental applications of this xx analysis nL/]Q'(5  
procedure are given to illustrate the proposed technique. QwWd"Of  
14. This paper analyses problems in ed#fDMXGQ%  
15. This paper outlines the functions carried out by ... g ,EDE6`8  
16. This paper includes an illustration of the ... }URdoTOvb  
17. This paper provides an overview and information useful for cI\[)5&  
approaching j\~,Gtn>Z  
18. Emphasis is placed on the construction of a criterion function by \8QOZjy  
which the xx in achieving a hierarchical system of objectives are czD" mI!  
evaluated. G/Sp/I<d  
19. The main emphasis is placed on the problem of xx  XyE$0i~t  
20. Our proposed model is verified through experimental study. 2.niB>  
21. The experimental results reveal interesting examples of fuzzy CL1*pL  
phases of: xx, xx "nu]3zcd  
22. The compatibility of a project in terms of cost, and xx are likewise zG6l8%q'UE  
represented by linguistic variables. * &:_Vgu  
23. A didactic example is included to illustrate the computational ^_Hf}8H7]  
procedure Mt-r`W3 q  
Chapter 1. Introduction j@z IJ  
Time FefroaJ:u  
1. Over the course of the past 30 years, .. has emerged form intuitive A|r3c?q  
2. Technological revolutions have recently hit the industrial world Mi8)r_l%O  
3. The advent of ... systems for has had a significant impact on the :,JaOn'  
4. The development of ... is explored ~ #3{5* M  
5. During the past decade, the theory of fuzzy sets has developed in a ,7&\jET5^0  
variety of directions H u;"TG  
6.The concept of xx was investigated quite intensively in recent years Z\CvaX  
7. There has been a turning point in ... methodology in accordance <C'_:&M  
with the advent of ... KM?4J6jH  
8. A major concern in ... today is to continue to improve... H **tMq  
9. A xx is a latecomer in the part representation arena. XY'8oU`]{  
0AQ4:KV(Y  
10. At the time of this writing, there is still no standard way of xx 1WMZ$vsQUb  
11. Although a lot of effort is being spent on improving these bN. G%1  
weaknesses, the efficient and effective method has yet to be |})s0TU  
developed. >6 o <Q  
12. The pioneer work can be traced to xx [1965]. larv6ncV  
13. To date, none of the methods developed is perfect and all are far -pYmM d,  
from ready to be used in commercial systems. Zt3sU_  
Objective / Goal / Purpose cpa" ,8  
1. The purpose of the inference engine can be outlined as follows: AhF@  
2. The ultimate goal of the xx system is to allow the non-experts to ]\xt[/?{  
utilize the existing knowledge in the area of manual handling of loads, ]XEyG7D  
and to provide intelligent, computer-aided instruction for xxx.  ydzsJ+dx  
3. The paper concerns the development of a xx a20w.6F  
4. The scope of this research lies in _s^tL2Pc  
5. The main theme of the paper is the application of rule-based x *I'Ar  
decision making. caQ1SV^{9  
6. These objectives are to be met with such thoroughness and l7VO8p]y[R  
confidence as to permit ... qB$-H' j:;  
7. The objectives of the ... operations study are as follows: |URfw5Hm  
8. The primary purpose/consideration/objective of _R\FB|_  
9. The ultimate goal of this concept is to provide FAnz0p+t  
10. The main objective of such a ... system is to ` 7iA?;  
11. The aim of this paper is to provide methods to construct such \XB,)XDB  
probability distribution. m=6?%' H}  
12. In order to achieve these objectives, an xx must meet the 5_!L"sJ  
following requirements: jv~#'=T'  
13. In order to take advantage of their similarity oYw?kxRZ  
14. more research is still required before final goal of ... can be ">Qxb.Y}  
completed vb~%u;zrC@  
15. In this trial, the objective is to generate... )W\ )kDh!  
16. for the sake of concentrating on ... research issues ~},H+A!?  
17. A major goal of this report is to extend the utilization of a recently r B+ (  
developed procedure for the xx. T/|!^qLF  
k5\V:P=#  
18. For an illustrative purpose, four well-known OR problems are B@-\. m  
studied in presence of fuzzy data: xx. P[ o"%NZ'  
19. A major thrust of the paper is to discuss approaches and ,.P]5 lE  
strategies for structuring ..methods 8 siP  
20. This illustration points out the need to specify p_Xfj2E4c  
21. The ultimate goal is both descriptive and prescriptive. ia\Gmh  
22. Chapter 2. Literature Review h{mzYy} b  
23. A wealth of information is to be found in the statistics literature, &;ddnxFI  
for example, regarding xx AIOGa<^  
24. A considerable amount of research has been done .. during the ;*qXjv& K  
last decade :j+E]|d(~6  
25. A great number of studies report on the treatment of zk$h71<{.  
uncertainties associated with xx. x}a?B  
26. There is considerable amount of literature on planning aN"YEL>w  
27. However, these studies do not provide much attention to TgV-U  
uncertainty in xx. jF6Q:`k  
28. Since then, the subject has been extensively explored and it is e[x,@P`  
still under investigation as well in methodological aspects as in 6 T4"m  
concrete applications. s8(Z&pQ  
29. Many research studies have been carried out on this topic. \KJTR0EB:>  
30. Problem of xx draws recently more and more attention of system FsUH/Y y  
analysis. jR1^e$  
31. Attempts to resolve this dilemma have resulted in the w#9.U7@.  
development of {!( htg;  
32. Many complex processes unfortunately, do not yield to this dh]Hf,OLF  
design procedure and have, therefore, not yet been automated. C,;<SV2#  
33. Most of the methods developed so far are deterministic and /or A["6dbvv  
probabilistic in nature. @ ~{TL  
34. The central issue in all these studies is to EO'+r[Y  
35. The problem of xx has been studied by other investigators, J8FzQ2  
however, these studies have been based upon classical statistical dT1UYG}>j  
approaches. )`k+Oyvi<  
36. Applied ... techniques to Q >yj<DR  
37. Characterized the ... system as =WCE "X  
hDJ+Rk@  
38. Developed an algorithm to i{:?Iw 'ay  
39. Developed a system called ... which 0*^f EoV  
40. Uses an iterative algorithm to deduce 4myikeUR_  
41. Emphasized the need to  aG"  
42. Identifies six key issues surrounding high technology Lo'G fHE  
43. A comprehensive study of the... has been undertaken x6T$HN/2  
44. Much work has been reported recently in these filed LfnQcI$kO  
45. Proposed/Presented/State that/Described/Illustrated/ ^l(,'>Cn  
Indicated/Has shown / showed/Address/Highlights K~&3etQF  
46. Point out that the problem of :'H}b*VWx  
47. A study on ...was done / developed by [] /$8 & r  
48. Previous work, such as [] and [], deal only with 1:h(8%H@"  
49. The approach taken by [] is |%Y=]@f  
50. The system developed by [] consists MmfshnT N  
51. A paper relevant to this research was published by [] Q Na*Y@i  
52. []'s model requires consideration of... bnp:J |(ld  
53. []' model draws attention to evolution in human development <1V>0[[e  
54. []'s model focuses on... aIfB^M*c5  
55. Little research has been conducted in applying ... to ,;= S\  
56. The published information that is relevant to this research... y K2>ou  
57. This study further shows that j,_{f =3;  
58. Their work is based on the principle of tN)Vpb\J  
59. More history of ... can be found in xx et al. [1979]. |Pse=_i  
60. Studies have been completed to established 4=ha$3h$  
61. The ...studies indicated that Iak06E  
62. Though application of xx in the filed of xx has proliferated in H#`&!p  
recent years, effort in analyzing xx, especially xx, is lacking. Bm^8"SSN  
Problem / Issue / Question kdm@1x  
63. Unfortunately, real-world engineering problems such as n{F&GE="  
manufacturing planning do not fit well with this narrowly defined F.R0c@&W  
model. They tend to span broad activities and require consideration OdJ=4 x>  
of multiple aspects. ,Hc,]TPC4  
64. Remedy / solve / alleviate these problems 0 vz!)  
67. ... is a difficult problem, yet to be adequately resolved ) nn v{hN  
fVBu?<=d  
68. Two major problems have yet to be addressed 0Szt^l7  
69. An unanswered question Z5>}  
70. This problem in essence involves using x to obtain a solution. <C7/b#4>\  
71. An additional research issue to be tackled is .... x8h=3e$  
72. Some important issues in developing a ... system are discussed cy_zEJjbD  
73. The three prime issues can be summarized: O$& 4{h`  
74. The situation leads to the problem of how to determine the ... ^d/,9L\U  
75. There have been many attempts to P?U}@U~9  
76. It is expected to be serious barrier to N%8aLD  
77. It offers a simple solution in a limited domain for a complex (@u"   
problem. o7 X5{  
1. There are several ways to get around this problem. Fm.IRu<\`  
2. As difficult as it seems to be, xx is by no means new. wo!;Bxo N  
3. The problem is to recognize xx from a design representation. []eZO_o6j  
4. A xx problem can trace its roots to xx. h]okY49hY  
5. xx [1987] used a heuristic approach to simplify the complexity of |/p2DU2  
the problem. k;y5nXIlN  
6. Several problems are associated with them. EPwM+#|e-  
7. Although some progress has been made in this area, at least two 0--0+?  
major obstacles must be overcome before a fully automated system RjCEo4b-.H  
can be realized. HTUY|^^D  
8. Most problems in practice are complicated Jx1JtnyP@  
9. More problem surface here. 5l(Q#pSX  
10. Hamper effort toward a xx system T $;N8x[  
11. In order to overcome the limitations due to incomplete and S~LT Lv:>  
imprecise xx knowledge, a xx program has been developed, which vErlh:~e  
bases its knowledge upon the statistical analysis of a sample wNm~H  
population of xx UKxeN[fv  
12. The above difficulties are real challenges faced by researchers %phv<AW  
attempting to develop .FXn=4l'vV  
13. This type of mapping raises no controversy to the issue of ?rgk  
membership function determination. WH^r M`9  
14. However, attempts to quantify the xx have met both theoretical HN tl>H  
and empirical problems. *b0f)y3RV  
Xz, sL  
15. It has become apparent that in order to apply this new h .$3 jNU  
methodological framework to real-world problems and data, we have  Z,osdF  
to pay attention to the problems of xx and xx. 7EAkY`Op  
Chapter 3. Proposed methodology 7o]p0iLej  
Assumption Ug^v ]B9  
1. In the case when the assumption of a xx seems to be too 7Q9zEd" d  
restrictive or inadequate, the formulation with Fuzzy termination <ZM8*bqi  
time, i.e. given by a fuzzy set in the space of control stages, may be Wg+fT{[f|  
applied. t~0}Emgp<(  
2. We assume here the fuzzy constraints to be state-dependent, and { +%S{=j  
the fuzzy goal to be the same for all the control states, xx, which ,4wZ/r> d  
stems from the problem's nature. W|FPj^*t  
3. An approach to the solution of this problem is presented under the YbrsX p"  
assumption that the sampling rate Decision can be made prior to the kEQ${F{  
execution of the experiment, as opposed to being made while the >aZ$x/U+Iw  
experiment is in progress. 2ajQ*aNq  
4. Another assumption made above is that there are precise odds at E30VKh |  
which the expert is indifferent. v?7.)2XcX  
5. Main simplifying assumptions are: h.6yI  
6. This, in our view, is a questionable assumption. F:CqB |  
Outline / Structure / Module %@{);5[  
1. An outline of the research 24Y~x`W   
2. Information is incorporated within the scheme *HwTq[y  
3. Is built into ... structure k.DDf uKN  
4. A nice modular structure. GJA3  
5. The principles of ... are applied as modularized criteria +x!V;H(  
Classification $ #C$V>  
1. A xx system comprises three main components: W)F2X0D>  
2. Must decompose the original .. into a set of .. }Jgz#d  
3. Consists of the following steps: iaq0\d.[7  
4. This is summarized in the following steps: |/g\N, ]  
+[JGi"c a  
5. Can be broadly classified into the following areas: 1x]U&{do  
6. Can be characterized by its function of effectively processing the zb}:wUR  
7. Can allow further breadth of application of ...into more `n7z+  
8. The following steps should be followed e jwFQ'wTx  
9. xx can be classified by a different ways. m?_S&/+*  
10. Based on the xx, one may classify xx into the following: v!ULErs  
11. This catalog may change due to wear, breakage, and purchasing. O1@xF9<  
System KX9+*YY,  
1. Unlike many conventional program, expert systems do not }`yIO"{8n  
usually deal with problem for which there is clearly a right or wrong un[Z$moN"  
answer. _.Y?BAQ  
2. The system consists of both ... and ... H~@E&qd  
3. The system has a hierarchical modular architecture organized on pd,5.d  
three levels. RaAi9b[/S  
4. expert system domains are area of expertise b:>(U.   
5. To develop a xx system for xx, the following factors must be 7vV3"uns  
considered: ;t@zH+*}  
6. The system has been developed / designed to determine @Q3aJ98)2  
7. The system has proven to be able to <?,o {  
8. The domain in which an expert system operates is a particular 9S.Uo[YY  
domain 8|?$KLz?F>  
9. The system comprises a ... with \<~[uv'  
10. The system is [feature-oriented ] / based on the ... technique -.1x!~.jX  
11. The system environment must be relatively stable .8l\;/o|  
12. The system is utilized to generate, load, store, update and ^l ~i>:V  
retrieve ... ~d 7!)c`z  
13. The development of a xx system has two stages: xx stage and xx ]E88zWDY`  
stage. cI'&gT5  
14. The most essential part of .. system is the ... cgm]{[f  
15. The successful developments in ESs have made them an d)(61  
important tool in the development of nvxftbfE^D  
16. An automated system was developed for "a;JQ:  
17. In this case, the system can be considered to be generative. Q! ]  
?I`']|I  
18. An interactive automatic ... system #~q{6()e:  
19. A …. is commonly thought of as a truly integrated .. system >.SU= HG;  
20. Should be capable of being generated from a ... system ^$24231^  
21. xx is an important part of the integrated system. "o`N6@[w ^  
22. The model consists of four rule bases, each of which addresses a 4\Y2{Z>P?  
separate problem in the hierarchy of scheduling decision. "Nn/vid;  
23. The rule bases are linked to each other in a chin-like manner in &n6mXFF#>P  
the sense that the consequent of one rule base constitutes a part of %:N6#;l M  
the antecedent of the next rule base. v1QE|@  
24. The rule base consists of all possible combinations of the ^{_`j E  
linguistic terms associated with the linguistic variable of the 9@#Z6[=R,  
antecedent of a rule. *]p]mzc  
Computer System T#Qn\ 8  
1. The system has been implemented using Prolog language in an Ni'vz7j  
MS-DOS environment. Prolog was chosen because it offers a well ^vLHs=<  
known and flexible environment in which fuzzy reasoning may be A{Z=[]r1`E  
easily implemented. DHW;*A-  
2. The current version of the xx program when compiled with Lf&p2p?~c  
WATFOR77 results in an executable code of about 270K bytes. z"u4t.KpL  
Typical run time, when run on a XX computer (an IBM compatible G7DEavtr  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min n@mWB UM  
to 2h, depending on the size (or complexity) of the problem. !1]72%k[  
3. Time consuming procedures have been implemented in t]#y} V  
C-language and directly linked to the Prolog environment. =da_zy  
4. The xx process, once the xx's data has been entered, requires "@RLS~Ej  
approximately 180 seconds. |Ma"B4  
5. It should be noted that the computation was done with a 20 Hhz, &7!&]kA+  
80386..209;based microcomputer equipped with a 80387 math r;t0+aLc*  
co-processor. S " R]i  
6. The computer programs used for the analyses, one based on the xx WLQm|C,  
method and the other based on the new method, were written in 'xm_oGWE  
FORTRAN with a compiler that supports the math co-processor. 8 qt,sU  
7. Lisp, Prolog give maximum flexibility but also maximizes x'{L%c>L  
SEq_37  
development time. -tAdA2?G  
l Internal representation is the way a model is represented in the k]!Fh^O~,  
computer. o"->R C  
l An interactive menu-driven procedure is used in this study !5wm9I!5^  
l Shell can be develop very fast at the cost of time fairly severe `$\g8Mo  
limitations. X(U CN0#  
l While there is no measurable saving of time for the case involving ,di'279|  
five criteria, the saving is dramatic for the case involving 10 criteria ]y>)es1  
-- the computation time reduces from 10 hr 40 min to about 1 min. +VkhM;'"C  
l This combination is being implemented in an objected-oriented tI0d!8K  
programming environment (Smalltalk-80 system) to solve problems @cA`del  
encountered in construction xxx. m!3b.2/h  
Method / Approach / Study / Process Model / Equation /Algorithm / 9E4H`[EQ  
Rule / Formula / Technique Lg0Vn&k  
l A discussion is presented of a problem-solving system 1O>wXq7q  
l To improve the efficiency of the method, the following approach x*Y&s<  
may be applied. 9>\P]:  
l In order to an investigation was made to find the causes of the ,f8<s-y4Sg  
l Although large collections of rules and equations have been D::$YR ~R  
complied, none are generally accepted 19Xc0ez  
l This approach will be explained and discussed thoroughly in the #5-5N5-1  
body of the report. |7XSC,"  
l This can be accomplished by mr dG- t(k  
l This algorithm to compute the total cost can be described step by D 's'LspQ  
step as follows: M9'Qs m  
l The above preliminary analysis has provided important *{8<4CVv  
information _xT=AF9~o  
l Various methods have been proposed for selecting an optimum... W iqlc  
l These concepts have been applied to c Q:.V  
l On the basis of the concept mentioned above, KKP}fN  
l This can be achieved by Vw.c05x  
l This fact suggests that a new concept fmyyQ|]O"  
l This was accomplished by taking ... 7?a@i; E<  
6REv(E]  
l The preparatory stage is very time consuming process. ?tS=rqc8oW  
l Test are performed for validity, completeness, and compatibility $Y.Z>I;  
l There is little hope of achieving successful ... ~nJcHJ1nb4  
l There has been an increasing awareness of the potential of using B7r={P!0  
most ..so far made have not taken this approach, with the exception K dY3  
of 'zCJK~x`x  
l Only a few studies can be found. fq(r,h=|  
l It is a very tedious process to go through vFz%#zk>  
l It is only when .. has been completed that .. may be effected rvO7e cR"  
l The entire interpretation process is conducted in one's head. R\k= CoJJ  
l These approaches are sometimes very tedious. L".Qf|b*  
l Several techniques can be used V ;Kzh$^rk  
l A polynomial parametric model can be written as [the <YX)am'\y  
following]/[follows]: .BN~9w  
l A xx model is constructed/formulated using xx. \l!^6G|c  
l A xx model represents an xx by its xx. y,&.<Yc  
l A process decision model captures the logic essential to Y@x }b{3  
l From the equation above, xx is equal to the summation of xx LDlj4>%pW^  
times the ... s`"o-w\$>  
l The validity of a xx model can be checked using Euler's formula. hz#S b~g  
l Given a model, one can mathematically determine whether ... or ... +E8 \g  
l Equations for xx need to be derived and implemented in the cx%[hM09  
system. *:t]|$;E\  
l A number of heuristic rules have been developed for o('W2Bs-o  
l Optimum .. techniques can be made more reliable by ... so that Z-(#}(HD  
l An algorithm based on the characteristic ... is used to determine V_Z~$  
l Euler's formula states the following: w?_y;&sbR  
l The completed model should agree with the formula. 0v6(A4Y  
l For manufacturing purposes, a detailed and precise model of the @ k+Z?Hp  
object is necessary i! G^=N  
l Engineering design models are very well defined; therefore, &t)dE7u5  
l To keep the domain narrow enough to be implementable, yet wide s@C KZ`  
enough to i8R.Wl$l  
be useful. Dw}8ci'  
=Ny&`X#F  
Point of View nLK%5C  
l from an implementation standpoint, O8BxXa@5  
l From the point of view of this application, gs;3 NW  
l From this point of view, Zadeh suggested an inference rule named 2w`kh=  
xxx (CRI for short). $ijWwrh  
l Information is the meaningful interpretation and correlation of \ZdV|23  
some aggregation of data in order to allow one to make decisions. }W&hPC  
l From a practical point of view, the computational aspects of an v=Ep  
FLC require a simplification of the fuzzy control algorithm. `q Sfo`  
l The use of a hammer to insert screws, although partly effective, 1B~H*=t4h  
tends to distort, destroy, and generally defeat the purpose of using a ?>47!):-*  
screw [Kusiak AI Implications for CIM p.129] }9T$XF~  
Justification ]p3hq1u3&  
l We choose the so called xx in our experiment because it has b~\gV_Z  
received wide acceptance and can M7vc/E}]n  
l Prolog was chosen because it offers a well known and flexible 0Eq.l<  
environment in which fuzzy reasoning may be easily implemented. Ko%&~C_  
l The rationale behind this is that it can be much easier for an <qH>[ \  
estimator to rate a cost as high than to attempt to place a dollar S3nA}1R  
value on the estimate. MtOA A  
l This strategy has been widely used in fuzzy control applications v ?@Ys+V  
since it is natural and easy to implement. "Yw-1h`fR  
l A function definition expresses the membership function of a =!3G,qV  
fuzzy set in a functional form, typically a bell-shaped function, etc. Q7]:vs)%  
Such functions are used in FLC because they lead themselves to P\bW kp0  
manipulation through the use of fuzzy arithmetic. _$/(l4\T[  
l It should be noted that in our daily life most of the information on d#7 z N  
which our decisions are based is linguistic rather than numerical in q[]EVs0$ew  
nature. Seen in this perspective, fuzzy control rules provide a natural 7V?]Qif~  
framework for the characterization of human behavior and decisions ) ^PY-~o[  
analysis. 88Yp0T<1  
l Many experts have found that fuzzy control rules provide a NwM=  
qNER 6  
convenient way to express their domain knowledge. This explains B]]_rl,  
why most FLCs are based on the knowledge and experience which Uj}iMw,  
are expressed in the language of fuzzy "if-the" rule. @TC_XU)&  
Chapter 4. Examples 0[}"b(O{  
Example/ Data &k(t_~m>  
l The data used in the following example was taken from an m *8[I  
experiment in which xx was measured between x and x using a xx ~Bn#A kL  
technique. FX)g\=ov  
l The data consists of over xx measurements. H?ssV^k  
l An example of xx is discussed and the control rules of xx are R{)Sv| +`  
compared with a xx ?,NZ /n  
l Examples of complex processes to which this technique may be Ac<V!v71  
applied are xx, xx, etc. ^dH#n~Wx0  
l The following example is constructed only for the purpose of < 9eQ  
illustrating the computational procedure discussed. Y>Q9?>}Q  
l This example clearly demonstrates that the profile of an individual ;^xlDN  
xx, or a very small group of xx, with no enough data to be studied AS`0.RC-  
statistically, can be meaningfully analyzed by fuzzy possibilistic ')I/D4v  
methods. !cT#G  
l There is no space here to go into detail on all these methods, but *ghkw9/  
deserve a mention and the bibliography will point to detailed j,eeQ KH  
references for those wishing this level of detail. h>$,97EU  
l Note that the golf ball spotting example is used throughout the 1 9a"@WB@  
paper. 2#C!40j&\  
Comparisons zTrAk5E  
l As well, the pros and cons of these representations from a process A_T-]YQ  
planning point of view will be discussed. g"( vl-Uw  
l The method of using xx to implement xx described by Zadeh #*#4vMk<  
(1973) appeared more suitable |f'U_nE#R/  
l As discussed [in the previous section]/[preciously], bP&o] ?dN  
%Nd|VAe  
Relation 8qp!S1Qnv  
l We can not invert F' directly because it defines a many-to-one 3lhXD_Y  
mapping. 4?g~GI3  
l The relationships appear very complicate |M  `B  
l Lifting tasks involve complex and imprecise relationship between PHi'&)|  
the task variables and the human operator's characteristics. v<_}Br2I[  
l These methods are based on the relationship between ... and ... 2{!'L'km  
l The fundamental concept of a fuzzy rating language is that we can !V$nU8p|  
establish a relationship among terms such as high, medium, and low, $$<9tqA  
and then modify these relationships. Crh5^?  
l This article will thus mention the latter as well as the former. 9c9-1iS  
l The former two bear a close relation to a fuzzy Cartesian product. 2V/ A%  
Importance e'(n ^_$nl  
l The emphasis is on an implementation of a general approach to pZ+zm6\$  
rule based decision making. kI]i,v#F  
Consideration / Attention tz j]c  
l Careful evaluation is necessary to ensure ii2X7Q  
l Such a formulation does not change further considerations. KCq qwGM  
l Considerable attention has been paid to `x~k}  
l Attention should be paid to an important finding of this $%`OJf*k  
investigation. 6.~HbN  
l Caution should be exercised in this process to avoid ... fW!~*Q  
l Primary consideration is given to ... components, though others B RG1/f d  
can be accommodated hz<kR@k}  
l After ... has been defined by ..., a carefully analysis is carried s) u{A  
out/performed to determine s!nFc{  
l A number of factors such as ...need to be taken into consideration })T}e7>T  
before making the appropriate decision. Y~dRvt0_w  
l It should be noted that :35J<oG  
l It is important to point out that ... u]@``Zb|  
l These considerations have heightened interest in the possibility of ^USj9HTK  
providing ... !-2nIY!  
ggVB8QN{  
l We should stress the fundamental importance of the xx vUS$DU F  
Chapter 5. Results. Z$X2*k6PK  
Advantages / Disadvantage bd_U%0)pi1  
l One of the major advantages of this new measure of xx is that it [ 8N1tZ{`  
can be applied to the experimental study of !lm^(SS v  
l One advantage of using a .. is the ease of preparing it. tQ5gmj  
l The xx system is versatile =:P9 $  
l It has a very fast decision making process 93kSBF#  
l All the algorithms involve mostly logical operations. }(Nb]_H  
l It can be easily and without additional cost implemented in a 9x?" %b  
microprocessor-based environment. ([_ls8  
l It can reduce the waste of designing from scratch. Z?oFee!4  
l The advantages of using a xx to represent xx are the following: %.pX!jL  
l However, xx is not without its shortcomings. +NxEx/{  
l In most cases, the xxx shows an improvement over the existing igOjlg_Q  
xxx. $d:/cN 8E  
l Compared to the existing xx, the impacts of the xx are generally  X4 BDl  
reduced by 5% to 9%. /e|`mu%  
l The "best case" results shows a savings of 6% to 9%. IJD'0/R'c  
l Most of the existing works based on xx approach can only ul(1)q^  
recognize a xx . 8n?P'iM  
l Most of the above methods are computational expansive and x7L$x=8s  
limited to xx. _;yp^^S  
l Some other advantages of xx are the following: 1MRt_*N4  
l The problem is the limitation of this method to a limited domain of @0A0\2  
parts. wS%I.  
l It proved limited in application because it demanded precision in :V HJD  
system modeling that was impossible in practice. tJUMLn?  
l There are advantages to be gained in the structuring of costs and M98dQ%4I  
benefits, the use of xx, RA+Y./*h  
l The disadvantages of this method are also disadvantages of Cm JI"   
conventional xx approaches. e3F)FTG&  
g/lv>*+gS  
l This combines the best features of both techniques udqGa)&0  
l Hopefully, this tool can be as the reference framework of for Fng":28o  
developing a xx platform, and helping the administration, marketing, jzI\Q{[m'  
and knowledge management activities in virtual communities. =5oFutg`  
Results Zul]ekv  
l An improvement on the result shown above can be made by based aP cO9  
on the data provided 6@wnF>'/\  
l Discussion of these theories is beyond the scope of this review (+@3Dr5o0}  
l Based on the information contained in this `2J6Dz"W  
l The result can be categorized into nine classes oE"!  
l The results are illustrated by an example ^+mSf`5  
l The experimental results for each xx time are reported in Table 2. |I^\|5  
l From the results obtained so far, it seem that |; $fy-  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn _S,2j_R9  
as ;#EB0TK  
l Although much effort has been made to., this reality is far from !g=,O6  
completion. L;,Nh  
l The results indicate that the total benefits are higher than the .Ky<9h.K  
total costs. gO*cX&  
l Their results may then serve as guidelines for lower level models, ]B3 0d  
less fuzzy and more detailed. }UXj|SY  
Chapter 6. Conclusion WB6g i2  
l From the discussion, one may conclude that ... &^63*x; hE  
l Form the above discussion, the conclusion can be reached that 2i |wQU5w  
l The conclusions drawn are also valid p tv  
l In conclusion to this, it becomes obvious that the problem of xx q jDW A'  
lies not only in... ]AERi] B  
l We have attempted to introduce some concepts associated with a tI*u"%#t  
theory of y<BiR@%,7  
xx based on fuzzy sets. kQ.atr`?e  
l Considerable more work, hopefully, will be done in this area T"kaOy  
l A fuzzy set procedure is proposed to solve xx selection problems 73Mh65  
6\4oHRJC  
interwoven with imprecise data /y@$|DI1  
l Employing the compositional rule of inference, the assessment of ~M(K {6R  
the xx compatibility in achieving prescribed xx projectiles in any Jc`LUJ T  
level of the hierarchy is made possible. Q`5jEtu#,  
l This paper has presented a theoretical and experimental study of 75!IzJG  
the xx process and xx concept. CyzvQfpZr  
l The experimental research results will hopefully serve as useful ppb]RN|)  
feedback information for improvements for xx work. S.t+HwVodO  
l The scope of this contribution was to introduce a xx method. 9m!4U2N,s  
l In general, fuzzy sets theory provides an alternative foundation lCWk)m8  
for xx analysis in a fuzzy environment. ^CZn<$  
Future Research k W/3 Aq7r  
l Thus, first extension of the approach could be, F3H)B:  
l Present some cues for a further approach from Fuzzy Sets Theory ~S"G~a(&j  
application to k-e_lSYk&c  
l Some improvements to the scheduling aspect of the model may d !G%n *  
be brought through additional levels in the hierarchy for more J^n(WnM*F  
detailed representation of the scheduling activity. 0@*rp7   
Tables and Figures "JJ )w0  
l Figure 7-1 sketches these relationships. |;OM,U2  
l The graphical representation of these functions is shown in Figure t+m$lqm  
1. JaG<.ki  
l The xx may be depicted as in Figure 1. eoTOccb!  
l Figure x shows the schematic diagram of the <\X4_sdy  
l Figure 1 though 2 provide a ... that B`"-~4YAf  
l the architecture of this expert system for .... is illustrated in Figure [FF%HRce,.  
2. e#FaK^V  
l Figure 2 gives the outline of an ... system A-ir   
l Table shows the FEU$D \1y  
l as shown in Table 1 and 2 78dmXOZ'_h  
l This concept is illustrated in Figure 2  EvTdwX.H  
l At the top of Table xx are shown two blocks of data. Xw9,O8}C7  
A ;Z%-x  
l Each table or matrix has constructs xx through xx as 5_G7XBvD/w  
row-headings, 53B Xz= k  
xx through xx as column-headings. `j_R ?mY  
l A table of .. is developed and significant recommendations are Qi6vP&  
made. sl |S9Ix  
CONJUGATION mQ VduG  
To Indicate Addition t(p  
l additionally, again, also, and then, as can be easily understood, d/P$qMD  
besides, equally important, especially, finally, for the same reason,  gT O%  
first, further, furthermore, in addition, last, likewise, moreover, next, t~sW]<qjp  
second, third, too, evidently, obviously, roughly speaking, broadly MSR IG-  
speaking T_v  
To Indicate Cause and Effect nHyWb6  
l accordingly, as a result, consequently, for this reason, hence, in :T%,.sH  
short, otherwise, then, therefore, thus, truly I?bL4u$\  
To indicate Comparison LO# {   
l in a like manner, likewise, similarly , alternatively OSfwA&  
To Indicate Concession RM%l hDFY  
l after all, although this may be true, at the same time, even though, Q`r1pO  
even so , I admit, naturally, of course Axj<e!{D  
To Indicate Contrast n$#^gzU4  
l and yet, at the same time, but, for all that, however, yet, in fact, in Vk0O^o  
contrast, in the real life, in spite of, nevertheless, notwithstanding, oDKgW?x  
normally, on the contrary, on the other hand, still, traditionally, .(1=iL_3e  
rather, unfortunately, ?em)om  
To Indicate Time Relationships: O}IS{/^7  
after a short time, afterwards, as indicated earlier, as long as, as soon Y$oBsg\v  
.Ddl.9p5  
as, at last, at length, at the moment, at that time, at the same time, ]r|.\}2Y7  
before, earlier, currently, immediately, in the meantime, in recent ag|d_;  
years, lately, later, meanwhile, often, of late, presently, recently, -#rFCfPy^  
soon, shortly, since, thereupon, temporarily, therefore, until, when, 1(On. Y=   
while u"C`S<c  
To Indicate Special Features or Examples: L d#  
for example, for instance, incidentally, indeed, in fact, in other words, %[N efA(  
in particular, in practice, specifically, that is, to illustrate, in this wx<5*8zP  
respect, theoretically, as mentioned before / above *2;w;(-s  
To Indicate Summary: f)"O( c  
in brief, in conclusion, in short, in summary, on the whole, to ;&J MBn]J  
conclude (_<ruwV]`  
, in general, to summarize, to sum up, as a result, ultimately, Y;-"Z  
VERB PHASE IXd&$h]Lq  
l build a .. model -#)xe W.d  
l build up the key link }=XL^a|V  
l began a new era in ... (qohb0  
l can be regarded as / achieved / used to/for / found / obtained b3Y9  
through 0{AVH/S  
l can result in .bL{fBTT~  
l carries out ... tasks U%w-/!p  
l production information in order to simultaneously v]_{oj_(-  
l contains all information necessary to describe HnOp*FP  
l do not make use of production information (sr_& 7A  
l deals with PPE:@!u<  
l end with failure H6'xXS  
l fetch the information from the model directly yKfRwO[ j  
l has great potential / yet to be resolved / spurred the !^`ZHJ-3>;  
development of / RQ/X{<lQ)  
been recognized as u!{P{C  
l BE aimed at / built up / carried out by / essentially concerned  299; N  
j g$%WAEb  
with / considered to be the key technology / associated with each !>t |vgW  
feature of a compo W0gaOew(^  
site component / cable of / currently implemented for / v\\Z[,dK  
demonstrated by an example / finally reached / made equal to / Kr]F+erJe  
equivalent to / more suitable to / oriented to / interpreted as / (Ptv#LSUX  
pointed out / potentially of great benefit in the complex task of / h-jea1m  
shown in / used to effectively guide the search t3U*rr|A  
l makes use of zL)m!:_  
l make up DSET!F;PG  
l meets the needs of real life production,/ the current demands P8;|>OLZ)  
placed upon it dw Aju:-H  
l must be justified Y.Gr(]tk  
l point out M;3uG/E\  
l play an important role H> _%ZXL  
l relates to B6=8cf"i  
l rely on Q[8L='E  
l satisfy the needs KvktC|~?  
l determine the total requirements for the ... qw"`Nub X  
l uses ... as a key to search for... l'-iIbKX  
l without relying on (x?A#o>%  
l will be available/ performed/ overlooked yuKfhg7  
NOUN PHASE "C}nS=]8m  
l a basic technical function of <7)Vj*VxC  
l a critical need &)\0mpLK9  
l a key / principle feature of &o:ZOD.  
l a substantial impact on 4[bw/[  
l an intensive review was conducted `db++Z'C  
l an increasing need for expanding the application of .... |h6)p;`gc  
l an important component / function / aspect / issue Zf(ucAhL  
l each rule is numbered in sequence mL3'/3-7:V  
l each of these involves ,n&Dg58K  
l for this calculation, it is necessary to define C"hc.A&4  
l in the physical environment / integration of W&Fa 8  
3H4p$\; C  
l in the reality of situations where … 8!:4m"Y   
l many aspects of 9$#2+G!J  
l most past efforts have been spent on ... @bD,^3U  
l common sense to a well studied and documented technical field. o.y4&bC14;  
l sources of additional information on ... are listed ]9b*!n<z  
l systematic and rationally structured format k('2K2P  
l the basis on which a range of ...operations can be established is 9)mJo(  
shown W;Fcp  
l THE basic philosophy / principles of / key element / general *-` /A  
hypothesis / candidate list of / concept of ... has attracted wide #!Kg?BR2  
interest / function is concerned with / heart / impact / nature / role W 4 )^8/  
/ task of / kernel functions ]6 }|X#_  
l the number of parts needed to b:W]L3Z8  
l the above statement means that IvH0sS`F  
l the output data is passed to bha_bj  
l the proposed method / underlying principle wK|&[m s  
l the recommendations made in this report, if implemented, should  <fN?=u+  
l this information resides in H |75,!<  
l this process is composed of ... different ... operation 5?6 ATP:[  
l along with the use of |p3]9H  
l concerning general aspects of k6G23p[9  
l due to K;S&91V)=  
l for later use in generating..., va#~ \%`  
l in turn,  EMJio\  
l IT IS believed / noted / assumed / suggested / shown / quite saYn\o"m  
evident / appears / implies that / intended for / of no important to  21w<8:Vg  
l it can be claimed/concluded that A}[Lk#|n  
l it demonstrates the decisions required of aD0w82s]J  
l it also provides information to .. 2t#9 ih"9  
l it becomes essential to a08B8  
l let ... be the probability that AF **@ iG  
l once... is written, it is compiled into... 0H;dA1  
l suppose it is observed that 'pZ~3q  
l this is because b%T-nY2  
(7-K4j`   
l this results in a #`}g?6VHo  
l upon completion of the ... analysis, tHhY1[A8m  
l when the knowledge is of mathematics or quantum physics, it will yTbBYx9Bi  
also be d|DIq T~{W  
recorded in books and papers r}03&h~Hc&  
l selection of rules for using the tools, for generating operation I]ywO4  
plans, pmHd1 Wub  
is another matter of preference, since practice varies greatly. 2c9@n9Vx3a  
l for the sake of convenience 0#<_:E  
l correct decision to be reach ; Sh|6  
l keeping the number of rules to a minimum. (}] 74Lc  
l a good process plan will result exhibiting several characteristics: v-OGY[|97  
l practical solutions 0nhsjN}v  
l because of rather small job lot sizes +$8hTi,  
l Backward reasoning can be used to answer the question "should Rp. @  
milling tool be select" different level of knowledge in the realm of @RT yCr  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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