加入VIP 上传考博资料 您的流量 增加流量 考博报班 每日签到
   
主题 : 英语论文写作常用经典句型
级别: 论坛版主

显示用户信息 
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 ,M`1 k  
ltNI+G  
/95z1e  
Beginning }R+#> P  
1. In this paper, we focus on the need for ef*Z;HI0  
2. This paper proceeds as follow. ^!^M Gzu  
3. The structure of the paper is as follows. m <j;f  
4. In this paper, we shall first briefly introduce fuzzy sets and related OH>Gc-V  
concepts -`5]%.E&8  
5. To begin with we will provide a brief background on the !j7mY9x+  
Introduction " l|`LjP5M  
1. This will be followed by a description of the fuzzy nature of the pSQX  
problem and a detailed presentation of how the required L=;T$4+p  
membership functions are defined. r ts2Jk7f  
2. Details on xx and xx are discussed in later sections. pWE(?d_M{G  
3. In the next section, after a statement of the basic problem, various L %acsb}  
situations involving possibility knowledge are investigated: first, an zfDfy!\2_  
entirely possibility model is proposed; then the cases of a fuzzy Fp?M@  
service time with stochastic arrivals and non-fuzzy service rule is fCu;n%   
studied; lastly, fuzzy service rule are considered. Hj`'4  
Review J0k!&d8  
1. This review is followed by an introduction. O=}  
2. A brief summary of some of the relevant concepts in xxx and xxx is ._p2"<  
presented in Section 2. Z~(X[Zl :  
3. In the next section, a brief review of the .... is given. _t]Q*i0p  
4. In the next section, a short review of ... is given with special regard GNHXtu6  
to ... J0bcW25  
5. Section 2 reviews relevant research related to xx. ]srL>29_b  
6. Section 1.1 briefly surveys the motivation for a methodology of `;G@qp:A  
action, while 1.2 looks at the difficulties posed by the complexity of EpACd8Fb  
systems and outlines the need for development of possibility yo_zc<  
methods. A+Un(tU2(  
Body |2TH[J_a  
1. Section 1 defines the notion of robustness, and argues for its (oCpQDab@  
pIrL7Pb0  
importance.  \v:Z;EbX  
2. Section 1 devoted to the basic aspects of the FLC decision-making sw1gpkX  
logic. jN= !Q&^i[  
3. Section 2 gives the background of the problem which includes xxx evE:FiDm(j  
4. Section 2 discusses some problems with and approaches to, fi'zk  
natural language understanding. =<(6yu_  
5. Section 2 explains how flexibility which often ... can be expressed 9^sz,auB  
in terms of fuzzy time-window H_8PK$c;  
6. Section 3 discusses the aspects of fuzzy set theory that are used in ~.e~YI80  
the ... ,Cm1~ExJ  
7. Section 3 describes the system itself in a general way, including Y*jkUQ  
the ….. and also discusses how to evaluate system performance. R Ee~\n+P^  
8. Section 3 describes a new measure of xx. _Nz?fJ:$@  
9. Section 3 demonstrates the use of fuzzy possibility theory in the n|.>41bJ  
analysis of xx. k^q~ 2  
10. Section 3 is a fine description of fuzzy formulation of human -idbR[1{?  
decision. W^,p2  
11. Section 3 is developed to the modeling and processing of fuzzy ki `ur%h  
decision rules K.?S,qg  
12. The main idea of the FLC is described in Section 3 while Section 4 PEtr8J$uB  
describes the xx strategies. C?g*c  
13. Section 3 and 4 show experimental studies for verifying the 9-=kVmT&g  
proposed model. h!Fh@%  
14. Section 4 discusses a previous fuzzy set-based approach to cost KAT ^vbR  
variance investigation.  GXTjK!  
15. Section 4 gives a specific example of xxx. )q{e L$  
16. Section 4 is the experimental study to make a fuzzy model of L6=5]?B=  
memory process. DQN"85AIZ  
17. Section 4 contains a discussion of the implication of the results of ]INt9Pvqm  
Section 2 and 3. B]#iZ,Tp  
18. Section 4 applies this fuzzy measure to the analysis of xx and Ao9=TC'v$'  
illustrate its use on experimental data. |JUAR{  
19. Section 5 presents the primary results of the paper: a fuzzy set 7c'OIY].,  
model .. ;ejtP #$  
cbx( L8  
20. Section 5 contains some conclusions plus some ideas for further bFIv}c+;  
work. pN;Tt+}  
21. Section 6 illustrates the model with an example. Y-"7R>^I  
22. Various ways of justification and the reasons for their choice are ALR`z~1  
discussed very briefly in Section 2. 5[+E?4,&  
23. In Section 2 are presented the block diagram expression of a v kW2&  
whole model m&6 I@S2  
of human DM system W^9=z~-h  
24. In Section 2 we shall list a collection of basic assumptions which 3q(]Dg;v  
a ... scheme must satisfy. rEs Gf+4  
25. In Section 2 of this paper, we present representation and +&)&Ny$W  
uniqueness theorems for the fundamental measurement of fuzziness }/-TT0*6j<  
when the domain of discourse is order-dense. V34]5  
26. In Section 3, we describe the preliminary results of an empirical p~t5PU*(  
study l$!g# ?w  
currently in progress to verify the measurement model and to (qy82F-|2  
construct membership functions. l`<u\],  
27. In Section 5 is analyzed the inference process through the two JiH k`e`  
kinds of inference experiments... ^Ea^t.c}_  
This Section \kksZ4,  
1. In this section, the characteristics and environment under which #-FfyxQ8ai  
MRP is designed are described. JdA3O{mT)  
2. We will provide in this section basic terminologies and notations bp( X\:zAy  
which are necessary for the understanding of subsequent results. Z^vcODeC$  
Next Section j[YO1q*  
2. The next section describes the mathematics that goes into the w^a I1M50  
computer implementation of such fuzzy logic statements. # Q_ d  
3. However, it is cumbersome for this purpose and in practical Nm=\~LP90  
applications the formulae were rearranged and simplified as w 7 j hS  
discussed in the next section. M8' GbF=1  
4. The three components will be described in the next two section, x3?:"D2  
and an example of xx analysis of a computer information system will hiA%Tq?  
j; )-K 3Ia  
then illustrate their use. vL:tuEE3  
5. We can interpret the results of Experiments I and II as in the  d365{  
following sections.  } h0 )  
6. The next section summarizes the method in a from that is useful Oe*+pReSD  
for arguments based on xx cu V}<3&  
Summary %o9;jX  
1. This paper concludes with a discussion of future research \a6knd  
consideration in section 5. kdHP v=/U  
2. Section 5 summarizes the results of this investigation. !@[@xdV  
3. Section 5 gives the conclusions and future directions of research. 4TW>BA  
4. Section 7 provides a summary and a discussion of some extensions R@)L@M)u;  
of the paper. O*7Gl G  
5. Finally, conclusions and future work are summarized #RwqEZ  
6. The basic questions posed above are then discussed and 5+[`x ']l  
conclusions are drawn. X3j<HQcK  
7. Section 7 is the conclusion of the paper. Q]}aZ4L  
Chapter 0. Abstract +u:Q+PkM  
1. A basic problem in the design of xx is presented by the choice of a `II/nv0jn  
xx rate for the measurement of experimental variables. ]M;aVw<!  
2. This paper examines a new measure of xx in xx based on fuzzy szy^kj^2  
mathematics which overcomes the difficulties found in other xx K8UgP?c;0  
measures. K;wd2/jmJ  
3. This paper describes a system for the analysis of the xx. ,^UNQO*{GI  
4. The method involves the construction of xx from fuzzy relations. 'y?(s +  
5. The procedure is useful in analyzing how groups reach a decision. : >K=kZ=k  
6. The technique used is to employ a newly developed and versatile aQK>q. t  
xx algorithm. ^&W(|R-,J&  
7. The usefulness of xx is also considered. p/a)vN+*x'  
8. A brief methodology used in xx is discussed. ^sNj[%I R  
9. The analysis is useful in xx and xx problem. .7*3V6h=F  
10. A model is developed for a xx analysis using fuzzy matrices. Lit@ m2{\  
11. Algorithms to combine these estimates and produce a xx are V.RG= TVS  
?{ "_9g9  
presented and justified. *k(>Qsb "  
12. The use of the method is discussed and an example is given. q+/c+u?=^  
13. Results of an experimental applications of this xx analysis xi]qdiA  
procedure are given to illustrate the proposed technique. 0!c^pOq6  
14. This paper analyses problems in S 'jH  
15. This paper outlines the functions carried out by ... "]dNN{Wka  
16. This paper includes an illustration of the ... :n:Gr?  
17. This paper provides an overview and information useful for 2sJj -3J  
approaching ]Hp o[IF  
18. Emphasis is placed on the construction of a criterion function by ^&'&Y>  
which the xx in achieving a hierarchical system of objectives are R(c:#KF#8  
evaluated. t$sL6|Ww}o  
19. The main emphasis is placed on the problem of xx ZX0ZN2 ]  
20. Our proposed model is verified through experimental study. 0k?ph$  
21. The experimental results reveal interesting examples of fuzzy ic}M)S FD;  
phases of: xx, xx @Fp-6J  
22. The compatibility of a project in terms of cost, and xx are likewise L-  -  
represented by linguistic variables. Dl kHE8r\  
23. A didactic example is included to illustrate the computational =|lKB ;  
procedure :&#HrD[KT  
Chapter 1. Introduction :wJ=t/ho  
Time :>U2yI  
1. Over the course of the past 30 years, .. has emerged form intuitive 0W|}5(C  
2. Technological revolutions have recently hit the industrial world %-y%Q.;k ?  
3. The advent of ... systems for has had a significant impact on the (o/HLmr@Y  
4. The development of ... is explored !%' 1 x2?  
5. During the past decade, the theory of fuzzy sets has developed in a &C eG4_Mi  
variety of directions bwjjwu&  
6.The concept of xx was investigated quite intensively in recent years /P~@__XN  
7. There has been a turning point in ... methodology in accordance &+? JY|u  
with the advent of ... -9XB.)\#  
8. A major concern in ... today is to continue to improve... UXz0HRRS0  
9. A xx is a latecomer in the part representation arena. ~+1t3M e  
$2uZdl8Rvj  
10. At the time of this writing, there is still no standard way of xx ?UC3ES  
11. Although a lot of effort is being spent on improving these 'iM;e K  
weaknesses, the efficient and effective method has yet to be D];%Ey  
developed. 3/P# 2&jt  
12. The pioneer work can be traced to xx [1965]. MB9tnGO-Q  
13. To date, none of the methods developed is perfect and all are far re9*q   
from ready to be used in commercial systems. -@49Zh2'  
Objective / Goal / Purpose B+G,v:)R6z  
1. The purpose of the inference engine can be outlined as follows: nezdk=8J/  
2. The ultimate goal of the xx system is to allow the non-experts to 9$&+0  
utilize the existing knowledge in the area of manual handling of loads, ,wJ#0?  
and to provide intelligent, computer-aided instruction for xxx. TqbDj|7`R  
3. The paper concerns the development of a xx jd9GueV*(  
4. The scope of this research lies in  8+no>%L  
5. The main theme of the paper is the application of rule-based t:tT Zh  
decision making. ITj0u&H:  
6. These objectives are to be met with such thoroughness and G1 ?."  
confidence as to permit ... o9)pOwk7;  
7. The objectives of the ... operations study are as follows: tETT\y|'  
8. The primary purpose/consideration/objective of pK=$)<I"6  
9. The ultimate goal of this concept is to provide wB6 ILTu1  
10. The main objective of such a ... system is to 'p=5hsG  
11. The aim of this paper is to provide methods to construct such Kq}/`P  
probability distribution. c\i`=>%b@  
12. In order to achieve these objectives, an xx must meet the q\Cg2[nn2  
following requirements: J/3qJst  
13. In order to take advantage of their similarity l[=7<F  
14. more research is still required before final goal of ... can be (Dr g  
completed v?zA86d_  
15. In this trial, the objective is to generate... ~b+TkPU   
16. for the sake of concentrating on ... research issues  zk8 o[4  
17. A major goal of this report is to extend the utilization of a recently Z$R6'EUb1  
developed procedure for the xx. jU2Dpxkt  
cstSLXD  
18. For an illustrative purpose, four well-known OR problems are ;Ee!vqD2  
studied in presence of fuzzy data: xx. wD|,G!8E2  
19. A major thrust of the paper is to discuss approaches and C3kxw1*   
strategies for structuring ..methods 0z) 8i P  
20. This illustration points out the need to specify -x~h.s,  
21. The ultimate goal is both descriptive and prescriptive. V{17iRflf  
22. Chapter 2. Literature Review ' N$hbl  
23. A wealth of information is to be found in the statistics literature, ^UP!y!&N  
for example, regarding xx o JC-?  
24. A considerable amount of research has been done .. during the :0 ,q>w  
last decade hS]g^S==2h  
25. A great number of studies report on the treatment of 85; BS'  
uncertainties associated with xx. Rd6? ,  
26. There is considerable amount of literature on planning O+I\Q?   
27. However, these studies do not provide much attention to m&/{iCwp  
uncertainty in xx. oh+Q}Fa:  
28. Since then, the subject has been extensively explored and it is V@gweci   
still under investigation as well in methodological aspects as in xU$A/!oK  
concrete applications. Q!DH8'|4?L  
29. Many research studies have been carried out on this topic. / fBi9=}+  
30. Problem of xx draws recently more and more attention of system ;,T3C:S?  
analysis. JmDi{B?  
31. Attempts to resolve this dilemma have resulted in the f%n],tE6  
development of R<$_ <z  
32. Many complex processes unfortunately, do not yield to this 0TA{E-A   
design procedure and have, therefore, not yet been automated. ]h4^3   
33. Most of the methods developed so far are deterministic and /or _ndc^OG  
probabilistic in nature. z3!j>X_w  
34. The central issue in all these studies is to 4W7  
35. The problem of xx has been studied by other investigators, `.3!  
however, these studies have been based upon classical statistical 8S2sNpLi-g  
approaches. JCoDe.  
36. Applied ... techniques to ~R7F[R  
37. Characterized the ... system as hdky:2^3  
L ]HtmI  
38. Developed an algorithm to H&K(,4u^  
39. Developed a system called ... which GT$.#};u  
40. Uses an iterative algorithm to deduce N$1ZA)M  
41. Emphasized the need to W;~ f865  
42. Identifies six key issues surrounding high technology ~JjL411pG  
43. A comprehensive study of the... has been undertaken o+UCu`7e  
44. Much work has been reported recently in these filed 7.7aHt0  
45. Proposed/Presented/State that/Described/Illustrated/ j8k5B"  
Indicated/Has shown / showed/Address/Highlights Jg3OM Ut  
46. Point out that the problem of -$W#bqvz^  
47. A study on ...was done / developed by [] >< <(6  
48. Previous work, such as [] and [], deal only with ckR>ps[u  
49. The approach taken by [] is 0#\K9 |.  
50. The system developed by [] consists XY1D<  
51. A paper relevant to this research was published by [] KGsS2  
52. []'s model requires consideration of... _5<d'fBd  
53. []' model draws attention to evolution in human development !,D7L6N  
54. []'s model focuses on... % zP ]z  
55. Little research has been conducted in applying ... to Gn*cphb  
56. The published information that is relevant to this research... [bE-Uu7q5P  
57. This study further shows that F"p7&e\W|l  
58. Their work is based on the principle of nV/8u_  
59. More history of ... can be found in xx et al. [1979]. 2~`lvx  
60. Studies have been completed to established UB%Zq1D|t  
61. The ...studies indicated that Jo%`N#jG   
62. Though application of xx in the filed of xx has proliferated in <x&0a$I  
recent years, effort in analyzing xx, especially xx, is lacking. L7kNQ/  
Problem / Issue / Question 36]pE<  
63. Unfortunately, real-world engineering problems such as .bdp=vbA  
manufacturing planning do not fit well with this narrowly defined ibzcO,c   
model. They tend to span broad activities and require consideration |3LD"! rEx  
of multiple aspects. 4OX2GH=W  
64. Remedy / solve / alleviate these problems AN193o   
67. ... is a difficult problem, yet to be adequately resolved }j+Af["W?  
g`7C1&U*T  
68. Two major problems have yet to be addressed %@L[=\ 9  
69. An unanswered question [j3-a4W u  
70. This problem in essence involves using x to obtain a solution. e0s*  
71. An additional research issue to be tackled is .... _ MsO2A  
72. Some important issues in developing a ... system are discussed PpXzWWU":  
73. The three prime issues can be summarized: 'iY~F0U  
74. The situation leads to the problem of how to determine the ... G3.*fSY$.<  
75. There have been many attempts to DB~3(r?K  
76. It is expected to be serious barrier to `}r)0,Z}3  
77. It offers a simple solution in a limited domain for a complex }l>\D~:M  
problem. ='W=  
1. There are several ways to get around this problem. LoUHStt  
2. As difficult as it seems to be, xx is by no means new. MV{\:l}y  
3. The problem is to recognize xx from a design representation. 1'NJ[ C`  
4. A xx problem can trace its roots to xx. qw?Wi%t(x8  
5. xx [1987] used a heuristic approach to simplify the complexity of 3# g"Z7/  
the problem. k!Ym<RD%N  
6. Several problems are associated with them. ^ABt g#  
7. Although some progress has been made in this area, at least two 1+F0$<e}  
major obstacles must be overcome before a fully automated system 'fK3L<$z#m  
can be realized. C6?({ QB@  
8. Most problems in practice are complicated ]/9@^D}&  
9. More problem surface here. U F&B7r  
10. Hamper effort toward a xx system @3w6 !Sgh  
11. In order to overcome the limitations due to incomplete and =.`:jZG  
imprecise xx knowledge, a xx program has been developed, which pqCp>BO?O  
bases its knowledge upon the statistical analysis of a sample !V'~<&  
population of xx +F?}<P_v  
12. The above difficulties are real challenges faced by researchers HJi FlL3  
attempting to develop lt{D f~c  
13. This type of mapping raises no controversy to the issue of -kP$S qR~  
membership function determination. h3[x ZJO  
14. However, attempts to quantify the xx have met both theoretical ri2`M\;gt  
and empirical problems. K0{ ,*>C  
a)8;P7  
15. It has become apparent that in order to apply this new dC/@OV)0#  
methodological framework to real-world problems and data, we have ;d .gVR_V  
to pay attention to the problems of xx and xx. [#SiwhF|  
Chapter 3. Proposed methodology +w2 `  
Assumption #Y0ru9  
1. In the case when the assumption of a xx seems to be too `< 82"cAT{  
restrictive or inadequate, the formulation with Fuzzy termination z?Cez*.h>  
time, i.e. given by a fuzzy set in the space of control stages, may be z.~jqxA9  
applied. )!lx' >0>  
2. We assume here the fuzzy constraints to be state-dependent, and [7\x(W-:@>  
the fuzzy goal to be the same for all the control states, xx, which Nwg?(h#  
stems from the problem's nature. HPX JRQBE  
3. An approach to the solution of this problem is presented under the -br): }f  
assumption that the sampling rate Decision can be made prior to the ^x2@KMKXZ  
execution of the experiment, as opposed to being made while the XE8%t=V!c$  
experiment is in progress. P7epBWqDP  
4. Another assumption made above is that there are precise odds at 2v<O}   
which the expert is indifferent. Ri>ZupQ6  
5. Main simplifying assumptions are: &Z(6i}f,Gp  
6. This, in our view, is a questionable assumption. >uxAti\  
Outline / Structure / Module 2;x+#D8  
1. An outline of the research  L+CPT  
2. Information is incorporated within the scheme +OZ\rs  
3. Is built into ... structure pV`/6 }  
4. A nice modular structure. (v&iXD5t  
5. The principles of ... are applied as modularized criteria z<_a4 ffR  
Classification 'A9Z ((  
1. A xx system comprises three main components: lHFk~Qp[  
2. Must decompose the original .. into a set of .. `i!fg\qnK  
3. Consists of the following steps: P5W58WxT'  
4. This is summarized in the following steps: x2f=o|]D'  
>2ha6A[  
5. Can be broadly classified into the following areas: ^I{/j 'b&  
6. Can be characterized by its function of effectively processing the =y=MljEX  
7. Can allow further breadth of application of ...into more i]Bu7Fuu  
8. The following steps should be followed 0]zMb^wo  
9. xx can be classified by a different ways. 1--Ka& H  
10. Based on the xx, one may classify xx into the following: J06 D_'{  
11. This catalog may change due to wear, breakage, and purchasing. TiR00#b  
System OlgM7Vrl  
1. Unlike many conventional program, expert systems do not ^v+p@k  
usually deal with problem for which there is clearly a right or wrong ^b4i9n,t1  
answer. H Qnc`2  
2. The system consists of both ... and ... 9ji`.&#  
3. The system has a hierarchical modular architecture organized on F:~@ e(  
three levels. y#= j{  
4. expert system domains are area of expertise z6P~HF+&h  
5. To develop a xx system for xx, the following factors must be l&5Tft  
considered: \Yn0|j>  
6. The system has been developed / designed to determine Er - rm  
7. The system has proven to be able to %j2$ ezud  
8. The domain in which an expert system operates is a particular 8A}<-?>  
domain x[u6_6=q9  
9. The system comprises a ... with D]5j?X'  
10. The system is [feature-oriented ] / based on the ... technique `2]TPaWGh  
11. The system environment must be relatively stable h6}rOchj  
12. The system is utilized to generate, load, store, update and xSDTO$U8%  
retrieve ... 4dm0:, G  
13. The development of a xx system has two stages: xx stage and xx IfT: 9 &  
stage. 2.\"Q  
14. The most essential part of .. system is the ... itg"dGDk  
15. The successful developments in ESs have made them an c`/=)IO4%  
important tool in the development of KzJJ@D*4M]  
16. An automated system was developed for Q#*R({)GH  
17. In this case, the system can be considered to be generative. dk"@2%xJ2d  
=pTTXo  
18. An interactive automatic ... system YQWq*o^:  
19. A …. is commonly thought of as a truly integrated .. system sXNb  
20. Should be capable of being generated from a ... system uvw1 _j?  
21. xx is an important part of the integrated system. dK0 H.|  
22. The model consists of four rule bases, each of which addresses a t<j_` %`8  
separate problem in the hierarchy of scheduling decision. 27}7 n  
23. The rule bases are linked to each other in a chin-like manner in .$ YYN/+W  
the sense that the consequent of one rule base constitutes a part of REh\WgV!u  
the antecedent of the next rule base. j)#yyK{k2s  
24. The rule base consists of all possible combinations of the z@ `u$D$n  
linguistic terms associated with the linguistic variable of the I $4>_D  
antecedent of a rule. X?;iSekI4  
Computer System b`% !\I  
1. The system has been implemented using Prolog language in an jQ7-M4qO/  
MS-DOS environment. Prolog was chosen because it offers a well )vpYVr-  
known and flexible environment in which fuzzy reasoning may be ggm'9|  
easily implemented. cYXL3)p*Q  
2. The current version of the xx program when compiled with B =7maYeU  
WATFOR77 results in an executable code of about 270K bytes. h%NM%;"H/  
Typical run time, when run on a XX computer (an IBM compatible HL dHyK/S  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min FMhuCl 2  
to 2h, depending on the size (or complexity) of the problem. ,}"jiGgS4  
3. Time consuming procedures have been implemented in !H<%X~|,  
C-language and directly linked to the Prolog environment. qQ6@43TC  
4. The xx process, once the xx's data has been entered, requires #&fu"W+D96  
approximately 180 seconds. SqdI($F\:  
5. It should be noted that the computation was done with a 20 Hhz, 7$t['2j3  
80386..209;based microcomputer equipped with a 80387 math OVc)PMp  
co-processor. (ss,x CF  
6. The computer programs used for the analyses, one based on the xx +_u~Np  
method and the other based on the new method, were written in E7_OI7C  
FORTRAN with a compiler that supports the math co-processor. DsD? &:  
7. Lisp, Prolog give maximum flexibility but also maximizes /L5:/Z  
!_;J@B  
development time. D*?LcxX  
l Internal representation is the way a model is represented in the ]*Q,~uV^|  
computer. ' I!/I  
l An interactive menu-driven procedure is used in this study [Fv,`*/sm  
l Shell can be develop very fast at the cost of time fairly severe ;DVg[#  
limitations. *[BtW5 6-  
l While there is no measurable saving of time for the case involving 6Z2|j~  
five criteria, the saving is dramatic for the case involving 10 criteria ,?Zy4-  
-- the computation time reduces from 10 hr 40 min to about 1 min. $bfmsCcHL  
l This combination is being implemented in an objected-oriented 5J1a8RBR  
programming environment (Smalltalk-80 system) to solve problems C*B5"s"  
encountered in construction xxx. Q&_#R(3j;  
Method / Approach / Study / Process Model / Equation /Algorithm / a/3'!}&e  
Rule / Formula / Technique T!HAE#xC  
l A discussion is presented of a problem-solving system {XUSw8W'  
l To improve the efficiency of the method, the following approach oDJ &{N|  
may be applied. JG1q5j##]b  
l In order to an investigation was made to find the causes of the HDKY7Yr  
l Although large collections of rules and equations have been % }Y&qT?  
complied, none are generally accepted x K\i&A  
l This approach will be explained and discussed thoroughly in the 6d2e WS  
body of the report. Q2* 8c$  
l This can be accomplished by n<<arO"cv  
l This algorithm to compute the total cost can be described step by p9mGiK4!  
step as follows: DIWyv-  
l The above preliminary analysis has provided important :(tKc3 z  
information (n jTS+?  
l Various methods have been proposed for selecting an optimum... FeQo,a  
l These concepts have been applied to pY&dw4V  
l On the basis of the concept mentioned above, 8m `Y  
l This can be achieved by "wKJ8  
l This fact suggests that a new concept 5J&Gc;  
l This was accomplished by taking ... D!Nc&|X^  
Eb63O  
l The preparatory stage is very time consuming process. !8W0XUqh+  
l Test are performed for validity, completeness, and compatibility \yxGE+~P  
l There is little hope of achieving successful ... &TrL!9FtJ  
l There has been an increasing awareness of the potential of using PU B0H  
most ..so far made have not taken this approach, with the exception gSyBoY  
of t7xJ "  
l Only a few studies can be found. >TawJ"q-6R  
l It is a very tedious process to go through >c5   
l It is only when .. has been completed that .. may be effected 7v0VZ(UR  
l The entire interpretation process is conducted in one's head. /l3O i@\  
l These approaches are sometimes very tedious. e7&RZ+s#wZ  
l Several techniques can be used x;~ @T9.  
l A polynomial parametric model can be written as [the ncOl}\Q9  
following]/[follows]: oY,{9H37b  
l A xx model is constructed/formulated using xx. 85] 'I%gT  
l A xx model represents an xx by its xx. @ptrF pSL  
l A process decision model captures the logic essential to ?6x&A t  
l From the equation above, xx is equal to the summation of xx (I>SqM Y  
times the ... '}(Fj2P79  
l The validity of a xx model can be checked using Euler's formula. }XpZgd$  
l Given a model, one can mathematically determine whether ... or ... jO*H8 XO  
l Equations for xx need to be derived and implemented in the Y(EF )::  
system. 6Iz!_  
l A number of heuristic rules have been developed for O<Ay`p5  
l Optimum .. techniques can be made more reliable by ... so that T xpj#JD  
l An algorithm based on the characteristic ... is used to determine fLSDt(c',  
l Euler's formula states the following: "e>9R'y  
l The completed model should agree with the formula. $ >].;y?$  
l For manufacturing purposes, a detailed and precise model of the gQY`qz  
object is necessary $`0,N_C<}  
l Engineering design models are very well defined; therefore, ~=oCou`XF  
l To keep the domain narrow enough to be implementable, yet wide 9O^~l2`  
enough to wXBd"]G)C  
be useful. [kgCB7.V  
G'nSnw  
Point of View "15frr?  
l from an implementation standpoint, I,& gKgh  
l From the point of view of this application, b#t5Dve  
l From this point of view, Zadeh suggested an inference rule named ozHL'H  
xxx (CRI for short). n}4q2x"  
l Information is the meaningful interpretation and correlation of 8hyX He  
some aggregation of data in order to allow one to make decisions. 3qV\XC+  
l From a practical point of view, the computational aspects of an X "HVK+  
FLC require a simplification of the fuzzy control algorithm. |^F$Ta  
l The use of a hammer to insert screws, although partly effective, ^ ~Tn[w W_  
tends to distort, destroy, and generally defeat the purpose of using a -ni@+Dy  
screw [Kusiak AI Implications for CIM p.129]  _Vc4F_  
Justification b!"FM/ %  
l We choose the so called xx in our experiment because it has cN\_1  
received wide acceptance and can Ggv*EsN/cC  
l Prolog was chosen because it offers a well known and flexible a785xSUV  
environment in which fuzzy reasoning may be easily implemented. YXdo&'Q<qX  
l The rationale behind this is that it can be much easier for an ,t'"3<^Jg  
estimator to rate a cost as high than to attempt to place a dollar <l+hcYam  
value on the estimate. >+:cTQ|q  
l This strategy has been widely used in fuzzy control applications ,hT**(W  
since it is natural and easy to implement. 7.kH="@  
l A function definition expresses the membership function of a t [G7&ovj  
fuzzy set in a functional form, typically a bell-shaped function, etc. 7+6I~&x!Lz  
Such functions are used in FLC because they lead themselves to s]D1s%Mx  
manipulation through the use of fuzzy arithmetic. q+w] Xs;  
l It should be noted that in our daily life most of the information on 'I2[} >mj2  
which our decisions are based is linguistic rather than numerical in t+0/$  
nature. Seen in this perspective, fuzzy control rules provide a natural B.gEV*@  
framework for the characterization of human behavior and decisions '3E25BsL  
analysis. ~BnmAv$m[  
l Many experts have found that fuzzy control rules provide a ,E+\SBQS_  
,wyEo>>4)  
convenient way to express their domain knowledge. This explains m?;/H  
why most FLCs are based on the knowledge and experience which cf%2A1I2W  
are expressed in the language of fuzzy "if-the" rule. ;H?tcb*  
Chapter 4. Examples VQ+G.  
Example/ Data v~YGef;D  
l The data used in the following example was taken from an Ffd;aZ4n  
experiment in which xx was measured between x and x using a xx 98UI]? 4  
technique. m*KI'~#$%  
l The data consists of over xx measurements. G^/8^Zi  
l An example of xx is discussed and the control rules of xx are @?t+O'&  
compared with a xx ykxAm\O  
l Examples of complex processes to which this technique may be U1 |{7 .R  
applied are xx, xx, etc. |"eC0u  
l The following example is constructed only for the purpose of j& L@L.d  
illustrating the computational procedure discussed. bhfC2@  
l This example clearly demonstrates that the profile of an individual @U =~ c9  
xx, or a very small group of xx, with no enough data to be studied "`* >co6r  
statistically, can be meaningfully analyzed by fuzzy possibilistic &NI\<C7_Gw  
methods. `?"r\Qo<  
l There is no space here to go into detail on all these methods, but acj-*I  
deserve a mention and the bibliography will point to detailed ]qEg5:yY  
references for those wishing this level of detail. WkPT6d  
l Note that the golf ball spotting example is used throughout the GB)< 5I  
paper. /9?yw!  
Comparisons yFTN/MFt  
l As well, the pros and cons of these representations from a process =(v'8? --  
planning point of view will be discussed. j%8 1q  
l The method of using xx to implement xx described by Zadeh LFvZ 7M\\  
(1973) appeared more suitable  jQ-2SA O  
l As discussed [in the previous section]/[preciously], Yt=2HJY  
hsYv=Tw3C  
Relation fC$@m_-KD  
l We can not invert F' directly because it defines a many-to-one Xv 7 noq|  
mapping. mR8tW"Z2  
l The relationships appear very complicate Qr ?1\H:Lq  
l Lifting tasks involve complex and imprecise relationship between bP4}a!t+n  
the task variables and the human operator's characteristics. @\a~5CLN  
l These methods are based on the relationship between ... and ... }R_Rw:W  
l The fundamental concept of a fuzzy rating language is that we can Epm8S}6K  
establish a relationship among terms such as high, medium, and low, v'r)d-T   
and then modify these relationships. (,cG+3r ]  
l This article will thus mention the latter as well as the former. + 7wMM#z  
l The former two bear a close relation to a fuzzy Cartesian product. '@HCwEuz  
Importance b|\dHi2F T  
l The emphasis is on an implementation of a general approach to z8xBq%97us  
rule based decision making. 6.6?Rp".  
Consideration / Attention R{Cb p=3J  
l Careful evaluation is necessary to ensure ]<C]&03))  
l Such a formulation does not change further considerations. s5)y %, E  
l Considerable attention has been paid to i>dFpJ  
l Attention should be paid to an important finding of this F&    
investigation. [.&n,.k  
l Caution should be exercised in this process to avoid ... =J'Q%qN<Zd  
l Primary consideration is given to ... components, though others {.J<^V  
can be accommodated =T1Xfib  
l After ... has been defined by ..., a carefully analysis is carried ;WhRDmT  
out/performed to determine RF~G{wz  
l A number of factors such as ...need to be taken into consideration 7OS i2  
before making the appropriate decision. D]N)  
l It should be noted that vG\ b `  
l It is important to point out that ... O2"V'(  
l These considerations have heightened interest in the possibility of ;<"V}, C  
providing ... }w8yYI  
`,4@;j<^@  
l We should stress the fundamental importance of the xx Y/T-q<ag8  
Chapter 5. Results. nq~fH(QY  
Advantages / Disadvantage rmr :G  
l One of the major advantages of this new measure of xx is that it {dn:1IcN  
can be applied to the experimental study of u6| I KZ  
l One advantage of using a .. is the ease of preparing it. }Z< Sca7  
l The xx system is versatile 0)ZLdF_6  
l It has a very fast decision making process q03+FLEfC  
l All the algorithms involve mostly logical operations. -  eIo  
l It can be easily and without additional cost implemented in a AWssDbh/[  
microprocessor-based environment. AlkHf]oB  
l It can reduce the waste of designing from scratch. o$V0(1N  
l The advantages of using a xx to represent xx are the following: %b2Hm9r+  
l However, xx is not without its shortcomings. 0WYu5|   
l In most cases, the xxx shows an improvement over the existing Of-xGo YZ  
xxx. bOp%  
l Compared to the existing xx, the impacts of the xx are generally {TdxsE>  
reduced by 5% to 9%. xtKU;+#  
l The "best case" results shows a savings of 6% to 9%. a'. 7)f[g}  
l Most of the existing works based on xx approach can only S\Le;,5Z  
recognize a xx . lnLy"f"zV  
l Most of the above methods are computational expansive and 96J]g*o(uU  
limited to xx. $)BPtGMGo  
l Some other advantages of xx are the following: '>n&3`r5  
l The problem is the limitation of this method to a limited domain of [Q J  
parts. -;FAS3(wy  
l It proved limited in application because it demanded precision in 5X>~39(r  
system modeling that was impossible in practice. F`2h,i-9  
l There are advantages to be gained in the structuring of costs and -KH"2q  
benefits, the use of xx, xXa4t4 gR  
l The disadvantages of this method are also disadvantages of b{{ H@LTW  
conventional xx approaches. !`1m.  
@)vQ>R\k<  
l This combines the best features of both techniques pV;0Hcy  
l Hopefully, this tool can be as the reference framework of for g A}<Y  
developing a xx platform, and helping the administration, marketing, .Dl ?a>I  
and knowledge management activities in virtual communities. !!)$?R;1  
Results MPy>< J  
l An improvement on the result shown above can be made by based m%>}T 75C^  
on the data provided }Nwp{["}]L  
l Discussion of these theories is beyond the scope of this review (v|<" tv  
l Based on the information contained in this aR('u:@jHi  
l The result can be categorized into nine classes xpo^\E?2  
l The results are illustrated by an example ksuePMIK  
l The experimental results for each xx time are reported in Table 2. 5U4V_*V  
l From the results obtained so far, it seem that \AA9 m'B Z  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn ~gGkw#  
as QV:> x#=V  
l Although much effort has been made to., this reality is far from e*PUs  
completion. w?^[*_Y  
l The results indicate that the total benefits are higher than the Q ^nf D  
total costs. Zv=pS (9  
l Their results may then serve as guidelines for lower level models, wy${EY^h  
less fuzzy and more detailed. *AGf'+j*z  
Chapter 6. Conclusion GiEt;8  
l From the discussion, one may conclude that ... LP|YW*i=IQ  
l Form the above discussion, the conclusion can be reached that OY:rcGc`t  
l The conclusions drawn are also valid j>:N0:  
l In conclusion to this, it becomes obvious that the problem of xx j|K;Yi  
lies not only in... |pWu|M _'  
l We have attempted to introduce some concepts associated with a w4\ 3*  
theory of 1E&S{.  
xx based on fuzzy sets. |Rkw/5  
l Considerable more work, hopefully, will be done in this area 5|K[WvG@Co  
l A fuzzy set procedure is proposed to solve xx selection problems r~ f ;g9I  
NW`.7'aWT  
interwoven with imprecise data OW\vbWX  
l Employing the compositional rule of inference, the assessment of V,d\Wkk/  
the xx compatibility in achieving prescribed xx projectiles in any bEQ-? X%7  
level of the hierarchy is made possible. I#O"<0 *r  
l This paper has presented a theoretical and experimental study of 7kE+9HmfMk  
the xx process and xx concept. !3k-' ),z&  
l The experimental research results will hopefully serve as useful )lS04|s  
feedback information for improvements for xx work. OQKg/1  
l The scope of this contribution was to introduce a xx method. M 80Q6K  
l In general, fuzzy sets theory provides an alternative foundation [w@S/K[_|  
for xx analysis in a fuzzy environment. wLqj<ot  
Future Research %,02i@Fc  
l Thus, first extension of the approach could be, NFEr ,n  
l Present some cues for a further approach from Fuzzy Sets Theory Jk&!(YK&  
application to Kd+E]$F_OH  
l Some improvements to the scheduling aspect of the model may ?yq= c  
be brought through additional levels in the hierarchy for more 0,DrVGa  
detailed representation of the scheduling activity. Zf!Q4a "  
Tables and Figures _&V,yp!|  
l Figure 7-1 sketches these relationships. nf"#F@dk  
l The graphical representation of these functions is shown in Figure tR'RB@kJ  
1. 5yoi;$~}_0  
l The xx may be depicted as in Figure 1. Tf]ou5|  
l Figure x shows the schematic diagram of the fv8x7l7  
l Figure 1 though 2 provide a ... that k@|px#k q  
l the architecture of this expert system for .... is illustrated in Figure P* 0kz@  
2. r1%{\<   
l Figure 2 gives the outline of an ... system a"U3h[;$y  
l Table shows the bs ~P  
l as shown in Table 1 and 2 :AztHf?X  
l This concept is illustrated in Figure 2 9Q s5e  
l At the top of Table xx are shown two blocks of data. v(.mM9>  
}O@>:?U  
l Each table or matrix has constructs xx through xx as 4uoZw 3 O  
row-headings, k $gcQ:|  
xx through xx as column-headings. 9 CZ@IFS  
l A table of .. is developed and significant recommendations are mm: TR?^  
made. zMP6hn  
CONJUGATION %+j/nA1%S  
To Indicate Addition ^lV}![do!  
l additionally, again, also, and then, as can be easily understood, j`.&4.7+  
besides, equally important, especially, finally, for the same reason, h?n?3x!(  
first, further, furthermore, in addition, last, likewise, moreover, next, v\?J=|S+  
second, third, too, evidently, obviously, roughly speaking, broadly ' abEY  
speaking lF/ Xs  
To Indicate Cause and Effect /fT"WaTEK  
l accordingly, as a result, consequently, for this reason, hence, in Jaw1bUP!oK  
short, otherwise, then, therefore, thus, truly S5>ztK.e  
To indicate Comparison J{\Uw].|0  
l in a like manner, likewise, similarly , alternatively zx\-He  
To Indicate Concession XTF[4#WO  
l after all, although this may be true, at the same time, even though, nn:'<6"oV  
even so , I admit, naturally, of course 8493Sw  
To Indicate Contrast M}11 tUl  
l and yet, at the same time, but, for all that, however, yet, in fact, in U'" #jT  
contrast, in the real life, in spite of, nevertheless, notwithstanding, Sq,>^|v4&e  
normally, on the contrary, on the other hand, still, traditionally, LhAW|];  
rather, unfortunately, zC)JOykI%  
To Indicate Time Relationships: L{jx'[C  
after a short time, afterwards, as indicated earlier, as long as, as soon qdpi-*2  
gkxHfm  
as, at last, at length, at the moment, at that time, at the same time, r?[[.zm"7  
before, earlier, currently, immediately, in the meantime, in recent qQ)1+^  
years, lately, later, meanwhile, often, of late, presently, recently, %b*N.v1+  
soon, shortly, since, thereupon, temporarily, therefore, until, when, em,1Yn?  
while Co(N8>1  
To Indicate Special Features or Examples: (SW6?5  
for example, for instance, incidentally, indeed, in fact, in other words, Gf#l ^yr   
in particular, in practice, specifically, that is, to illustrate, in this &':C"_|&r  
respect, theoretically, as mentioned before / above iupkb  
To Indicate Summary: )N- '~<N  
in brief, in conclusion, in short, in summary, on the whole, to ^ICSh8C  
conclude `!N}u  
, in general, to summarize, to sum up, as a result, ultimately, 5%9Uh'y#  
VERB PHASE U { 0~&  
l build a .. model (Ox&B+\v+v  
l build up the key link B6&[_cht  
l began a new era in ... 1o\2\B=k{  
l can be regarded as / achieved / used to/for / found / obtained @ntwdv;  
through iB W:t  
l can result in XYP RMa?  
l carries out ... tasks J/Y9X ,  
l production information in order to simultaneously ,sc#l<v  
l contains all information necessary to describe  \H>T[  
l do not make use of production information -6-rX D  
l deals with )?radg  
l end with failure (@*|[wN  
l fetch the information from the model directly =/'>.p3/S  
l has great potential / yet to be resolved / spurred the ,{:qbt  
development of / ~28{BY  
been recognized as cu?6\@cD  
l BE aimed at / built up / carried out by / essentially concerned viU}  
|7,$.MK- @  
with / considered to be the key technology / associated with each H74'I}  
feature of a compo CZ] Dm4  
site component / cable of / currently implemented for / <astIu Au  
demonstrated by an example / finally reached / made equal to / j8 e=],sQ  
equivalent to / more suitable to / oriented to / interpreted as / "'``O~08/  
pointed out / potentially of great benefit in the complex task of / L=Aj+  
shown in / used to effectively guide the search AX{<d@z`j  
l makes use of YG*<jKcX  
l make up _G-6G=q  
l meets the needs of real life production,/ the current demands d=+zOF  
placed upon it 6w3[PNd  
l must be justified ?\4kV*/Cqz  
l point out 7mi=Xa:U  
l play an important role W=S^t_F  
l relates to S]fkA6v  
l rely on Y=sv   
l satisfy the needs UjunIKX+  
l determine the total requirements for the ... G DBV   
l uses ... as a key to search for...  K\ pZ  
l without relying on *R4=4e2#S  
l will be available/ performed/ overlooked \[]BB5)8  
NOUN PHASE H 9/m6F  
l a basic technical function of Gz\wmH&rVz  
l a critical need \N?lG q  
l a key / principle feature of DD7D&@As  
l a substantial impact on ri3*~?k00  
l an intensive review was conducted BB1_EdoG  
l an increasing need for expanding the application of .... c2GTN"  
l an important component / function / aspect / issue 7PfNPz<4+  
l each rule is numbered in sequence 5A %TpJ  
l each of these involves b4KNIP7E  
l for this calculation, it is necessary to define 6x!iL\Y~  
l in the physical environment / integration of Zn|lL0b{q  
ed/ "O gA  
l in the reality of situations where … Ttb?x<)+8  
l many aspects of NQ '|M  
l most past efforts have been spent on ... .ArOZ{lKD>  
l common sense to a well studied and documented technical field. ,*L3  
l sources of additional information on ... are listed *&_(kq z'1  
l systematic and rationally structured format 6: R1jF*eG  
l the basis on which a range of ...operations can be established is nGJ+.z  
shown @Ko}Td&E(  
l THE basic philosophy / principles of / key element / general W$D:mw7  
hypothesis / candidate list of / concept of ... has attracted wide bI;u};v  
interest / function is concerned with / heart / impact / nature / role o|s|Wm x>u  
/ task of / kernel functions tOQnxKzu  
l the number of parts needed to 6SAYe%e  
l the above statement means that y]k{u\2A  
l the output data is passed to ( ~>-6Nb 5  
l the proposed method / underlying principle ){tT  B  
l the recommendations made in this report, if implemented, should IV`+B<3  
l this information resides in 9PR?'X;4  
l this process is composed of ... different ... operation ,F|49i.K  
l along with the use of g`=Z%{z%  
l concerning general aspects of ~MK%^5y?  
l due to ]PH'G>x  
l for later use in generating..., vWYU'_=  
l in turn, f F9=zrW  
l IT IS believed / noted / assumed / suggested / shown / quite phcYQqR  
evident / appears / implies that / intended for / of no important to [-=y*lx %g  
l it can be claimed/concluded that V9D>Xh!0H  
l it demonstrates the decisions required of j;&su=p"  
l it also provides information to .. > a8'MK  
l it becomes essential to [_tBv" z  
l let ... be the probability that 7}fT7tsN  
l once... is written, it is compiled into... KD..X~Me  
l suppose it is observed that M+M\3U  
l this is because sH{(=N  
T^nOv2@,  
l this results in a /V>yF&p  
l upon completion of the ... analysis, K|wB0TiXP  
l when the knowledge is of mathematics or quantum physics, it will {= T 9_c  
also be P?`a{sl.  
recorded in books and papers [Pz['q L3t  
l selection of rules for using the tools, for generating operation {bO O?pp  
plans, B5/"2i  
is another matter of preference, since practice varies greatly.  D ~t  
l for the sake of convenience :Mnl1;oh  
l correct decision to be reach 5P![fX|5  
l keeping the number of rules to a minimum. ) 8JM.:,  
l a good process plan will result exhibiting several characteristics: LZ1)zoJ  
l practical solutions C\gKJW^]y@  
l because of rather small job lot sizes )&.Zxo;q=  
l Backward reasoning can be used to answer the question "should KWi P`h8  
milling tool be select" different level of knowledge in the realm of h=MEQ-3jg  
process planning
评价一下你浏览此帖子的感受

精彩

感动

搞笑

开心

愤怒

无聊

灌水

  
级别: 初级博友
显示用户信息 
沙发  发表于: 2007-11-14   
Very useful, thank u!
描述
快速回复

验证问题:
4+6=? 正确答案:10
按"Ctrl+Enter"直接提交