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 u_b 6u@r7  
}|j#C[  
]}.|b6\  
Beginning m]}EVa_I`/  
1. In this paper, we focus on the need for 7lr;S(C  
2. This paper proceeds as follow. Dj3,SJ*x  
3. The structure of the paper is as follows. f*^bV_  
4. In this paper, we shall first briefly introduce fuzzy sets and related h|<;:o?yh  
concepts N5tFEV'G  
5. To begin with we will provide a brief background on the g9IIC5  
Introduction }Q-Tw,j  
1. This will be followed by a description of the fuzzy nature of the $-(lp0\*  
problem and a detailed presentation of how the required xJOp ~fKG  
membership functions are defined. _Ecs{'k  
2. Details on xx and xx are discussed in later sections. LwH+X:?i  
3. In the next section, after a statement of the basic problem, various d~T@fa  
situations involving possibility knowledge are investigated: first, an Jt)J1CA Yo  
entirely possibility model is proposed; then the cases of a fuzzy af/0e}-  
service time with stochastic arrivals and non-fuzzy service rule is Q{ { =  
studied; lastly, fuzzy service rule are considered. \8k4v#wH  
Review P|a|4Bb+fW  
1. This review is followed by an introduction. r]S"i$  
2. A brief summary of some of the relevant concepts in xxx and xxx is %B\VY+  
presented in Section 2. p1IN%*IV+o  
3. In the next section, a brief review of the .... is given. O_*tDq,e  
4. In the next section, a short review of ... is given with special regard BNixp[Hc  
to ... e_FoNT  
5. Section 2 reviews relevant research related to xx. #z c$cr  
6. Section 1.1 briefly surveys the motivation for a methodology of  o%$R`;  
action, while 1.2 looks at the difficulties posed by the complexity of _iu^VK,}  
systems and outlines the need for development of possibility k40`,;}9  
methods. XMLl>w2z  
Body NFf?~I&mfu  
1. Section 1 defines the notion of robustness, and argues for its &B$%|~Y5  
4u1au1 c  
importance. mqiCn]8G  
2. Section 1 devoted to the basic aspects of the FLC decision-making ra1_XR}  
logic. =r~ExW}+  
3. Section 2 gives the background of the problem which includes xxx eX'V #K#C  
4. Section 2 discusses some problems with and approaches to, 2Xv$  
natural language understanding. -LlS9[r0  
5. Section 2 explains how flexibility which often ... can be expressed ",S146Y+  
in terms of fuzzy time-window @\U] hN?  
6. Section 3 discusses the aspects of fuzzy set theory that are used in t24.u+O  
the ... OS=~<ba  
7. Section 3 describes the system itself in a general way, including BfDC[(n`  
the ….. and also discusses how to evaluate system performance. QGnUPiD^  
8. Section 3 describes a new measure of xx. ,S&p\(r.  
9. Section 3 demonstrates the use of fuzzy possibility theory in the @CKMJ^#|  
analysis of xx. R 3*{"!O  
10. Section 3 is a fine description of fuzzy formulation of human jT4 m(j  
decision. }|],UXk{xB  
11. Section 3 is developed to the modeling and processing of fuzzy ~e686L0j  
decision rules D_BdvWSxj  
12. The main idea of the FLC is described in Section 3 while Section 4 hwSxdT6  
describes the xx strategies. u&e?3qKX(  
13. Section 3 and 4 show experimental studies for verifying the .RWq!Z=)3  
proposed model. +9 .GNu  
14. Section 4 discusses a previous fuzzy set-based approach to cost -` 1)yhS  
variance investigation. ,hCbx #h  
15. Section 4 gives a specific example of xxx. U/-|hfh  
16. Section 4 is the experimental study to make a fuzzy model of &x/Z {ut  
memory process. it->)?"(6  
17. Section 4 contains a discussion of the implication of the results of a@! O}f*  
Section 2 and 3. Gyc _B  
18. Section 4 applies this fuzzy measure to the analysis of xx and 5qkyi]/U8  
illustrate its use on experimental data. /Y [ b8f  
19. Section 5 presents the primary results of the paper: a fuzzy set ;V bB]aUg  
model .. ;bFd*8?;  
0<nW nD,z  
20. Section 5 contains some conclusions plus some ideas for further &0OH:P%  
work. X|y0pH:S  
21. Section 6 illustrates the model with an example. afjEN y1  
22. Various ways of justification and the reasons for their choice are  ;ih;8  
discussed very briefly in Section 2. Xet} J@C  
23. In Section 2 are presented the block diagram expression of a Ee=!bv(%70  
whole model h O(A_Bw  
of human DM system 35YDP|XZb  
24. In Section 2 we shall list a collection of basic assumptions which )~#3A@  
a ... scheme must satisfy.  xC2y/ ?  
25. In Section 2 of this paper, we present representation and %%lJyLq'Vk  
uniqueness theorems for the fundamental measurement of fuzziness vh^?M#\  
when the domain of discourse is order-dense. 3*oZol/  
26. In Section 3, we describe the preliminary results of an empirical J$,bsMIX  
study }q:4Zh'l!  
currently in progress to verify the measurement model and to SI7r `'7A'  
construct membership functions. Q=^TKsu  
27. In Section 5 is analyzed the inference process through the two !~Kg_*IT  
kinds of inference experiments... 5PE}3he:  
This Section P-X2A2  
1. In this section, the characteristics and environment under which &c y<"y  
MRP is designed are described. _BG7 JvI  
2. We will provide in this section basic terminologies and notations {6>$w/+~  
which are necessary for the understanding of subsequent results. @R;&PR#5  
Next Section z]!w@:  
2. The next section describes the mathematics that goes into the dHtEyF  
computer implementation of such fuzzy logic statements. XjTu`?Na;  
3. However, it is cumbersome for this purpose and in practical q<4{&omUJ  
applications the formulae were rearranged and simplified as 8I0G%hD  
discussed in the next section. 6u{%jSA>D\  
4. The three components will be described in the next two section, }|l7SFst  
and an example of xx analysis of a computer information system will 7nZ3u _~  
SA?1*dw)  
then illustrate their use. T/jxsIt3  
5. We can interpret the results of Experiments I and II as in the qpq(<  
following sections. C2 yJ Xi`$  
6. The next section summarizes the method in a from that is useful 6#HnA"I2n  
for arguments based on xx Pav  
Summary @[ {5{ y  
1. This paper concludes with a discussion of future research gZ=$bR  
consideration in section 5. =FfR?6 ~  
2. Section 5 summarizes the results of this investigation. +P.JiH`\=  
3. Section 5 gives the conclusions and future directions of research. =`l><  
4. Section 7 provides a summary and a discussion of some extensions 15MKV=?oY  
of the paper. =>7czw:S 1  
5. Finally, conclusions and future work are summarized & d* bQv$  
6. The basic questions posed above are then discussed and P=X)Ktmv  
conclusions are drawn. OK2\2&G  
7. Section 7 is the conclusion of the paper. r>G||/Z  
Chapter 0. Abstract 4v2JrC;  
1. A basic problem in the design of xx is presented by the choice of a 3M>y.MS  
xx rate for the measurement of experimental variables. MI~Q Xy,  
2. This paper examines a new measure of xx in xx based on fuzzy Pt'=_^I o  
mathematics which overcomes the difficulties found in other xx ^tVIPH.R  
measures. FV%|*JW[;N  
3. This paper describes a system for the analysis of the xx. ^b*ub(5Ot  
4. The method involves the construction of xx from fuzzy relations. ;`Z>^.CB  
5. The procedure is useful in analyzing how groups reach a decision. 5"D\n B %  
6. The technique used is to employ a newly developed and versatile H-8_&E?6m  
xx algorithm. _HkQv6fXpE  
7. The usefulness of xx is also considered. f1U: _V^d  
8. A brief methodology used in xx is discussed. CC]q\%y-_  
9. The analysis is useful in xx and xx problem. %@%~<U)W  
10. A model is developed for a xx analysis using fuzzy matrices. wL&[Vi_j{  
11. Algorithms to combine these estimates and produce a xx are &]c7<=`K"  
&CfzhIi*!  
presented and justified. / q^_ 'Lp  
12. The use of the method is discussed and an example is given. @! jpJ}  
13. Results of an experimental applications of this xx analysis B:)vPO+ d  
procedure are given to illustrate the proposed technique. q&,uJo  
14. This paper analyses problems in -i4hJC!3  
15. This paper outlines the functions carried out by ... Fh.Z sPn,m  
16. This paper includes an illustration of the ... &y~GTEP  
17. This paper provides an overview and information useful for 'zuA3$SR  
approaching i.+#a2   
18. Emphasis is placed on the construction of a criterion function by XMpE|M! c  
which the xx in achieving a hierarchical system of objectives are |l,0bkY@&  
evaluated. I@q4D1g  
19. The main emphasis is placed on the problem of xx _u;34H&/  
20. Our proposed model is verified through experimental study. UujKgL4  
21. The experimental results reveal interesting examples of fuzzy )(`,!s,8)  
phases of: xx, xx ( z.\,M  
22. The compatibility of a project in terms of cost, and xx are likewise YuzgR;Z  
represented by linguistic variables. {c=H#- A  
23. A didactic example is included to illustrate the computational g=kuM  
procedure  IaRq6=[  
Chapter 1. Introduction 2@pEuB3$?!  
Time 19^B610  
1. Over the course of the past 30 years, .. has emerged form intuitive ~H`(zzk  
2. Technological revolutions have recently hit the industrial world 'U4@Sax,  
3. The advent of ... systems for has had a significant impact on the _<;westq  
4. The development of ... is explored ~@EBW3>~5  
5. During the past decade, the theory of fuzzy sets has developed in a ?1/wl;=fm  
variety of directions =VDtZSa!$^  
6.The concept of xx was investigated quite intensively in recent years kI# yW!  
7. There has been a turning point in ... methodology in accordance NFlrr*=t>  
with the advent of ... ;p2a .P  
8. A major concern in ... today is to continue to improve... ;PG,0R`Z;  
9. A xx is a latecomer in the part representation arena. bY7~b/  
uOnyU+fZV  
10. At the time of this writing, there is still no standard way of xx gIaPS0Q  
11. Although a lot of effort is being spent on improving these :ODG]-QF  
weaknesses, the efficient and effective method has yet to be tD !$!\`O  
developed. $4*k=+wS  
12. The pioneer work can be traced to xx [1965]. Qg4g(0E@  
13. To date, none of the methods developed is perfect and all are far NKS-G2 Y<P  
from ready to be used in commercial systems. .f]2%utHB  
Objective / Goal / Purpose +~]LvZtI_  
1. The purpose of the inference engine can be outlined as follows:  ] cY  
2. The ultimate goal of the xx system is to allow the non-experts to l\{{iAC]I  
utilize the existing knowledge in the area of manual handling of loads, $stBB  
and to provide intelligent, computer-aided instruction for xxx. CQ+WB TiC  
3. The paper concerns the development of a xx gVs8W3GW  
4. The scope of this research lies in `V1D &}H+G  
5. The main theme of the paper is the application of rule-based .jfkOt?2  
decision making. pg%'_+$~m  
6. These objectives are to be met with such thoroughness and ??!+2G#%!  
confidence as to permit ... wSMP^kG  
7. The objectives of the ... operations study are as follows: 2sOV3~bB  
8. The primary purpose/consideration/objective of nz=X/J6  
9. The ultimate goal of this concept is to provide Q'ok%9q!p  
10. The main objective of such a ... system is to DhL]\ 4  
11. The aim of this paper is to provide methods to construct such JY|f zL  
probability distribution. BN?OvQ  
12. In order to achieve these objectives, an xx must meet the %z(nZ%,Z  
following requirements: [a&|c%h  
13. In order to take advantage of their similarity @@,l0/  
14. more research is still required before final goal of ... can be EMDsi2  
completed 2\Vzfca  
15. In this trial, the objective is to generate... <4gT8 kQ$x  
16. for the sake of concentrating on ... research issues c({V[eGY  
17. A major goal of this report is to extend the utilization of a recently =+T$ 1  
developed procedure for the xx. !18M!8Xea  
[dK5kO  
18. For an illustrative purpose, four well-known OR problems are J!$q"0G'WT  
studied in presence of fuzzy data: xx. R89 ;<,Ie  
19. A major thrust of the paper is to discuss approaches and O<&8 gk~  
strategies for structuring ..methods LRqBP|bjCD  
20. This illustration points out the need to specify a&6e~E$K2  
21. The ultimate goal is both descriptive and prescriptive. [xF(t @p  
22. Chapter 2. Literature Review |U*wMYC  
23. A wealth of information is to be found in the statistics literature, :27GqY,3sK  
for example, regarding xx iWbrX1 I+  
24. A considerable amount of research has been done .. during the \ /3Xb  
last decade UN7>c0B  
25. A great number of studies report on the treatment of TA=VfA B  
uncertainties associated with xx. eIEr\X4\~~  
26. There is considerable amount of literature on planning p`@7hf|hm  
27. However, these studies do not provide much attention to  FSaCbs(  
uncertainty in xx. W0 n/B &C  
28. Since then, the subject has been extensively explored and it is teO%w9ByY  
still under investigation as well in methodological aspects as in 4{?Djnh  
concrete applications. wAC*D=Qj  
29. Many research studies have been carried out on this topic. | |=q"h3(  
30. Problem of xx draws recently more and more attention of system 'l+).},  
analysis. E1(2wJ-3"  
31. Attempts to resolve this dilemma have resulted in the pIKQx5;  
development of vs3px1Xe#  
32. Many complex processes unfortunately, do not yield to this zJE$sB.f  
design procedure and have, therefore, not yet been automated. 's.%rre%  
33. Most of the methods developed so far are deterministic and /or bo]xah|."j  
probabilistic in nature. RcQo1  
34. The central issue in all these studies is to MdzG2uZT  
35. The problem of xx has been studied by other investigators, so~vnSQ!x  
however, these studies have been based upon classical statistical mez )G|  
approaches. o) _;cCr)q  
36. Applied ... techniques to  nwH'E  
37. Characterized the ... system as qA4w*{JN  
=yn|.%b  
38. Developed an algorithm to Z:Hk'|q}I  
39. Developed a system called ... which EZ+_*_9  
40. Uses an iterative algorithm to deduce JGS4r+   
41. Emphasized the need to Im9^mVe  
42. Identifies six key issues surrounding high technology \}O'?)(1  
43. A comprehensive study of the... has been undertaken Hu"?wZj  
44. Much work has been reported recently in these filed C O25  
45. Proposed/Presented/State that/Described/Illustrated/ (+' *_   
Indicated/Has shown / showed/Address/Highlights 3Lx]-0h  
46. Point out that the problem of &%QtUPvr9  
47. A study on ...was done / developed by [] q4)8]Y2  
48. Previous work, such as [] and [], deal only with Vj^<V|=  
49. The approach taken by [] is wIi_d6?  
50. The system developed by [] consists S<Zb>9pl  
51. A paper relevant to this research was published by [] K8 Y/sHl  
52. []'s model requires consideration of... 86J7%;^Xa  
53. []' model draws attention to evolution in human development RC5b'+E&#  
54. []'s model focuses on... /"d5<B`%  
55. Little research has been conducted in applying ... to >mzK96  
56. The published information that is relevant to this research... MH{$"^K  
57. This study further shows that {b4+ Yc  
58. Their work is based on the principle of `.PZx%=  
59. More history of ... can be found in xx et al. [1979]. Ql-RbM  
60. Studies have been completed to established mgeNH~%m@*  
61. The ...studies indicated that A!}Wpw%(/  
62. Though application of xx in the filed of xx has proliferated in oWGtKtDhH  
recent years, effort in analyzing xx, especially xx, is lacking. LO8V*H(  
Problem / Issue / Question >U@7xeK  
63. Unfortunately, real-world engineering problems such as P@LYa_UFsN  
manufacturing planning do not fit well with this narrowly defined (hTe53d<S?  
model. They tend to span broad activities and require consideration e=KA|"v xh  
of multiple aspects. xk=5q|u_-  
64. Remedy / solve / alleviate these problems r (Ab+1b  
67. ... is a difficult problem, yet to be adequately resolved 0ts] iQ7  
+5( #~  
68. Two major problems have yet to be addressed 9J% ~?k  
69. An unanswered question M{$EJS\d=  
70. This problem in essence involves using x to obtain a solution. Q/rOIHiI  
71. An additional research issue to be tackled is .... bY:A7.p7#  
72. Some important issues in developing a ... system are discussed h32QEz-+  
73. The three prime issues can be summarized: zSMN k AM  
74. The situation leads to the problem of how to determine the ... 1euL+zeh  
75. There have been many attempts to ]MJyBz+k  
76. It is expected to be serious barrier to VA*~R S  
77. It offers a simple solution in a limited domain for a complex Fi.gf?d  
problem. Gqvnc8V&  
1. There are several ways to get around this problem. BG!;9Z{u  
2. As difficult as it seems to be, xx is by no means new. \ } ,="  
3. The problem is to recognize xx from a design representation. N8.K[m  
4. A xx problem can trace its roots to xx. g#0h{%3A \  
5. xx [1987] used a heuristic approach to simplify the complexity of `WvNN>R  
the problem. <I .p{Z  
6. Several problems are associated with them. }Th":sin},  
7. Although some progress has been made in this area, at least two 5zXw0_  
major obstacles must be overcome before a fully automated system c]:sk[u  
can be realized. OM5"&ZIZb  
8. Most problems in practice are complicated JF7n|o-`?  
9. More problem surface here. O H~X~n-Z  
10. Hamper effort toward a xx system hYRGIpu5  
11. In order to overcome the limitations due to incomplete and b Z c&uq_  
imprecise xx knowledge, a xx program has been developed, which seWYY $$  
bases its knowledge upon the statistical analysis of a sample 41 sClC"  
population of xx Ep-{Ew{T_=  
12. The above difficulties are real challenges faced by researchers pC,MiV$c"  
attempting to develop 0JTDJZOz@#  
13. This type of mapping raises no controversy to the issue of b%>vhj&F  
membership function determination. /C"dwh"``  
14. However, attempts to quantify the xx have met both theoretical NyU~8?bp  
and empirical problems. .zr2!}lB  
! 7,rz1s73  
15. It has become apparent that in order to apply this new y05(/NH>  
methodological framework to real-world problems and data, we have UlQZw*ce  
to pay attention to the problems of xx and xx. a>A29*q  
Chapter 3. Proposed methodology ?, e7v.b  
Assumption tU7,nE>p  
1. In the case when the assumption of a xx seems to be too 6L Z(bP'd;  
restrictive or inadequate, the formulation with Fuzzy termination @$'k1f(u>  
time, i.e. given by a fuzzy set in the space of control stages, may be e$>.x< Eq  
applied. cA%70Y:AV  
2. We assume here the fuzzy constraints to be state-dependent, and :9H=D^J  
the fuzzy goal to be the same for all the control states, xx, which Q#NXJvI  
stems from the problem's nature. O o9 ePw7  
3. An approach to the solution of this problem is presented under the Arh0m. w  
assumption that the sampling rate Decision can be made prior to the {8D`A;KD  
execution of the experiment, as opposed to being made while the xVHZZ?e  
experiment is in progress. (Qmpz  
4. Another assumption made above is that there are precise odds at 4:<74B  
which the expert is indifferent. K! ^x+B|  
5. Main simplifying assumptions are: $p@V1"x  
6. This, in our view, is a questionable assumption. ]kUF>Wp  
Outline / Structure / Module .}gGtH,b3  
1. An outline of the research c?oNKqPzg  
2. Information is incorporated within the scheme b^b@W^\hn  
3. Is built into ... structure qP? V{N  
4. A nice modular structure. @Bs7kjuX  
5. The principles of ... are applied as modularized criteria 5.!iVyN  
Classification ?pq#|PI)  
1. A xx system comprises three main components:  ! K :  
2. Must decompose the original .. into a set of .. T:$a x  
3. Consists of the following steps: h:{rjXK  
4. This is summarized in the following steps: i?" ~g!A  
zzlV((8 ~  
5. Can be broadly classified into the following areas: 1&%6sZN  
6. Can be characterized by its function of effectively processing the r(=  
7. Can allow further breadth of application of ...into more z|,YO6(L  
8. The following steps should be followed 9z>I&vcX  
9. xx can be classified by a different ways. Mrpz(})  
10. Based on the xx, one may classify xx into the following: -3-*T)  
11. This catalog may change due to wear, breakage, and purchasing. PuyJ:#a  
System Wp7lDx  
1. Unlike many conventional program, expert systems do not VRe7Q0  
usually deal with problem for which there is clearly a right or wrong +XL^dzN[|$  
answer. fC6zDTis8A  
2. The system consists of both ... and ... ']Q4SB"q  
3. The system has a hierarchical modular architecture organized on wm1`<r^ M.  
three levels. )\nKr;4MH  
4. expert system domains are area of expertise 0j{Rsy   
5. To develop a xx system for xx, the following factors must be dJvT2s.t[  
considered: q<Tx'Ya  
6. The system has been developed / designed to determine S F:>dneB  
7. The system has proven to be able to Oy(f h%k#  
8. The domain in which an expert system operates is a particular !{u`}:\  
domain sd5%Szx  
9. The system comprises a ... with G5MoIC  
10. The system is [feature-oriented ] / based on the ... technique P8& BtA  
11. The system environment must be relatively stable o]R*6$  
12. The system is utilized to generate, load, store, update and |B{@noGX  
retrieve ... j\hI, mc  
13. The development of a xx system has two stages: xx stage and xx $O'IbA  
stage. [SKN}:D  
14. The most essential part of .. system is the ... o ;[?b'\[d  
15. The successful developments in ESs have made them an \&8 61A;  
important tool in the development of }srmG|@:  
16. An automated system was developed for i!<1&{  
17. In this case, the system can be considered to be generative. ;2y4^  
`=Z3X(Kc  
18. An interactive automatic ... system drwD3jx0xv  
19. A …. is commonly thought of as a truly integrated .. system 9$q35e  
20. Should be capable of being generated from a ... system '< .gKo  
21. xx is an important part of the integrated system. 4{lrtNd~K  
22. The model consists of four rule bases, each of which addresses a goqm6L^Cu  
separate problem in the hierarchy of scheduling decision. wJc`^gj  
23. The rule bases are linked to each other in a chin-like manner in }&LVD$Bz  
the sense that the consequent of one rule base constitutes a part of cj\?vX\V  
the antecedent of the next rule base. G' '9 eV$  
24. The rule base consists of all possible combinations of the a=4 `C*)  
linguistic terms associated with the linguistic variable of the 8n,/hY>w  
antecedent of a rule. 5X73@Aj  
Computer System ^WkqRs  
1. The system has been implemented using Prolog language in an  X`20=x  
MS-DOS environment. Prolog was chosen because it offers a well ~l8w]R3A  
known and flexible environment in which fuzzy reasoning may be /|p\l"  
easily implemented. 7 <ZGNxZ~  
2. The current version of the xx program when compiled with %i) 0sE T  
WATFOR77 results in an executable code of about 270K bytes. PjP6^"  
Typical run time, when run on a XX computer (an IBM compatible `&:>?Y/X2  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min q2P_37  
to 2h, depending on the size (or complexity) of the problem. -(},%!-_  
3. Time consuming procedures have been implemented in P(.XB`  
C-language and directly linked to the Prolog environment. CofTTYl  
4. The xx process, once the xx's data has been entered, requires Zu*7t<W  
approximately 180 seconds. ~d3|zlh  
5. It should be noted that the computation was done with a 20 Hhz, 0RjFa;j  
80386..209;based microcomputer equipped with a 80387 math 6!HYx  
co-processor. &;bey4_J  
6. The computer programs used for the analyses, one based on the xx V,% K"b=  
method and the other based on the new method, were written in w9StW9 4p  
FORTRAN with a compiler that supports the math co-processor. !ALq?u  
7. Lisp, Prolog give maximum flexibility but also maximizes JAM]neKiX  
o@hj.)u  
development time. OrF.wcg  
l Internal representation is the way a model is represented in the B6j/"x6N15  
computer. j"jQiL_*  
l An interactive menu-driven procedure is used in this study F-F1^$]k  
l Shell can be develop very fast at the cost of time fairly severe ,:#h;4!VRF  
limitations. kT]jJbb"  
l While there is no measurable saving of time for the case involving RUq[HxF) 6  
five criteria, the saving is dramatic for the case involving 10 criteria u9(42jj[$U  
-- the computation time reduces from 10 hr 40 min to about 1 min. b@Dt]6_ UL  
l This combination is being implemented in an objected-oriented #C'E'g0  
programming environment (Smalltalk-80 system) to solve problems ll[&O4.F  
encountered in construction xxx. y>:U&P^  
Method / Approach / Study / Process Model / Equation /Algorithm / [c -|`d^  
Rule / Formula / Technique )*R';/zaI  
l A discussion is presented of a problem-solving system }I MV@z B  
l To improve the efficiency of the method, the following approach "LH!Trl@k  
may be applied. 4<vi@,s  
l In order to an investigation was made to find the causes of the z,hBtq:-$  
l Although large collections of rules and equations have been ,j9?9Z7R  
complied, none are generally accepted `8tstWYa]Y  
l This approach will be explained and discussed thoroughly in the _yX.Apv]  
body of the report. Xh}D_c  
l This can be accomplished by Ycx}FYTY  
l This algorithm to compute the total cost can be described step by eMdf [eS  
step as follows: *W^a<Zm8>  
l The above preliminary analysis has provided important QSn18V>{  
information W'f"kM  
l Various methods have been proposed for selecting an optimum... &cJ?mSI  
l These concepts have been applied to ~t/i0pKq.  
l On the basis of the concept mentioned above, c`UFNNm=  
l This can be achieved by jN'h/\  
l This fact suggests that a new concept &['x+vL9  
l This was accomplished by taking ... >}Bcv%zZ  
E/wxX#]\  
l The preparatory stage is very time consuming process. H?a $o(  
l Test are performed for validity, completeness, and compatibility /Hq  
l There is little hope of achieving successful ... bd-iog(  
l There has been an increasing awareness of the potential of using -Ah&|!/  
most ..so far made have not taken this approach, with the exception QtXiUx^ k<  
of I1l^0@J   
l Only a few studies can be found. HC1<zW[  
l It is a very tedious process to go through `-{? !  
l It is only when .. has been completed that .. may be effected 0s H~yvM5  
l The entire interpretation process is conducted in one's head. FE^/us7r  
l These approaches are sometimes very tedious. Njr;Wa.r+  
l Several techniques can be used a~a:mM > p  
l A polynomial parametric model can be written as [the %eW7AO>  
following]/[follows]: ]h' 38W  
l A xx model is constructed/formulated using xx. }$L1A   
l A xx model represents an xx by its xx. nTD%i~t~o  
l A process decision model captures the logic essential to a#%*H  
l From the equation above, xx is equal to the summation of xx +!px+*)bW  
times the ... ~TXu20c  
l The validity of a xx model can be checked using Euler's formula. \lQI;b;$  
l Given a model, one can mathematically determine whether ... or ... %e0X-tXcmX  
l Equations for xx need to be derived and implemented in the yufw}Lo-  
system. dY0W=,X$7T  
l A number of heuristic rules have been developed for LVm']_K(f  
l Optimum .. techniques can be made more reliable by ... so that ub9[!}r't  
l An algorithm based on the characteristic ... is used to determine Qt{V&Z7  
l Euler's formula states the following: C9MK3vtD.  
l The completed model should agree with the formula. 50Gu~No6  
l For manufacturing purposes, a detailed and precise model of the *S}CiwW>/  
object is necessary >R6mI  
l Engineering design models are very well defined; therefore, ~xc/Dsb$  
l To keep the domain narrow enough to be implementable, yet wide $uFvZ?w&  
enough to Opg_-Bf  
be useful. L'`Au/%S}  
$|&<cenMT  
Point of View R2{]R&wtn0  
l from an implementation standpoint, /AOGn?Z3  
l From the point of view of this application, 1BW9,Xr  
l From this point of view, Zadeh suggested an inference rule named B=%%3V)2  
xxx (CRI for short). 3)o>sp)Ji$  
l Information is the meaningful interpretation and correlation of hWFOed4C  
some aggregation of data in order to allow one to make decisions. 3WwCo.q;m  
l From a practical point of view, the computational aspects of an S *J{  
FLC require a simplification of the fuzzy control algorithm. 2^Im~p~ByE  
l The use of a hammer to insert screws, although partly effective, 5izpQ'>  
tends to distort, destroy, and generally defeat the purpose of using a "+qZv(  
screw [Kusiak AI Implications for CIM p.129] eNi#% ?=WB  
Justification Ei+lVLoC  
l We choose the so called xx in our experiment because it has NJd4( P  
received wide acceptance and can t.RDS2N|  
l Prolog was chosen because it offers a well known and flexible RL]$"  
environment in which fuzzy reasoning may be easily implemented. !blGc$kC  
l The rationale behind this is that it can be much easier for an .=G3wox3  
estimator to rate a cost as high than to attempt to place a dollar aL;zN%Tw  
value on the estimate. B%tj-h(a  
l This strategy has been widely used in fuzzy control applications Zm++5b`W/[  
since it is natural and easy to implement. 0;=]MEk?  
l A function definition expresses the membership function of a ~p{YuW[e  
fuzzy set in a functional form, typically a bell-shaped function, etc. n[y^S3}%;  
Such functions are used in FLC because they lead themselves to H >]*<2(=-  
manipulation through the use of fuzzy arithmetic. }7{( o-  
l It should be noted that in our daily life most of the information on 2Z<S^9O9  
which our decisions are based is linguistic rather than numerical in l6xqc,h!K  
nature. Seen in this perspective, fuzzy control rules provide a natural C9k"QPE  
framework for the characterization of human behavior and decisions 5RO6YxQ  
analysis. QL2 LIs  
l Many experts have found that fuzzy control rules provide a ^Dfqc-]  
4 PU@W o  
convenient way to express their domain knowledge. This explains ,1<6=vL  
why most FLCs are based on the knowledge and experience which M 0G`P1o  
are expressed in the language of fuzzy "if-the" rule. @ZV>Cl@%2  
Chapter 4. Examples h.- o$+Sa  
Example/ Data KiC,O7&<  
l The data used in the following example was taken from an n36@&q+B&  
experiment in which xx was measured between x and x using a xx ^$oEM0h  
technique. Z%3)w.  
l The data consists of over xx measurements. QT1oUP#*  
l An example of xx is discussed and the control rules of xx are q="ymx~  
compared with a xx 7eZwpg?K  
l Examples of complex processes to which this technique may be 1mfB6p1Z(  
applied are xx, xx, etc. n4+ ^f~Y  
l The following example is constructed only for the purpose of << YH4}wZ  
illustrating the computational procedure discussed. ?#ywUEY* i  
l This example clearly demonstrates that the profile of an individual *;T HD>  
xx, or a very small group of xx, with no enough data to be studied $KGRpI  
statistically, can be meaningfully analyzed by fuzzy possibilistic WO+>W+|N  
methods. /9-kG  
l There is no space here to go into detail on all these methods, but !JjNm*F[  
deserve a mention and the bibliography will point to detailed *  }ZKQ  
references for those wishing this level of detail. <Lq.J`|+  
l Note that the golf ball spotting example is used throughout the )OQih+#?W  
paper. emS7q|^  
Comparisons \e?w8R.6w^  
l As well, the pros and cons of these representations from a process m&6)Vt  
planning point of view will be discussed. z"{Ji{>%=  
l The method of using xx to implement xx described by Zadeh F8*P/<P1cK  
(1973) appeared more suitable t hQ)J|1  
l As discussed [in the previous section]/[preciously], gG,gL 9o  
J|WkPv2  
Relation f9b[0L  
l We can not invert F' directly because it defines a many-to-one CDRz3Hu U  
mapping. @-jI<g  
l The relationships appear very complicate "]1| %j  
l Lifting tasks involve complex and imprecise relationship between |(UkI?V  
the task variables and the human operator's characteristics. VaFv%%w  
l These methods are based on the relationship between ... and ... Kd^,N Ag  
l The fundamental concept of a fuzzy rating language is that we can aEC&#Q(]q  
establish a relationship among terms such as high, medium, and low, 8j &LU,  
and then modify these relationships.  Qf(mn8  
l This article will thus mention the latter as well as the former. JnZlz?}^  
l The former two bear a close relation to a fuzzy Cartesian product. 6 2#dSd}HG  
Importance  Cdbh7  
l The emphasis is on an implementation of a general approach to 9~C$C  
rule based decision making. ^# gR"\F`d  
Consideration / Attention ;bxL$1  
l Careful evaluation is necessary to ensure |d Q-l !  
l Such a formulation does not change further considerations. (}NKW  
l Considerable attention has been paid to ;Jq 7E  
l Attention should be paid to an important finding of this P% ZCACzV  
investigation. Rr/sxR|0_  
l Caution should be exercised in this process to avoid ... &>&UqWL  
l Primary consideration is given to ... components, though others h1`u-tc2x  
can be accommodated S>s{ t=AY~  
l After ... has been defined by ..., a carefully analysis is carried iO_6>&(  
out/performed to determine 0X"D!G):  
l A number of factors such as ...need to be taken into consideration J$X{4  
before making the appropriate decision. "<y0D!&  
l It should be noted that y6*9, CF  
l It is important to point out that ... =6N%;2`84  
l These considerations have heightened interest in the possibility of W%bzA11l  
providing ... ?i8a)!U  
1\'zq;I~  
l We should stress the fundamental importance of the xx utDj N"  
Chapter 5. Results. ^t'mfG|DV  
Advantages / Disadvantage Ur/+nL{  
l One of the major advantages of this new measure of xx is that it L(bYG0ZI5C  
can be applied to the experimental study of SQ_w~'(  
l One advantage of using a .. is the ease of preparing it. g]hTz)8fF  
l The xx system is versatile >*A"tk#oR  
l It has a very fast decision making process %xq/eC7  
l All the algorithms involve mostly logical operations. l*`2 EJ  
l It can be easily and without additional cost implemented in a 5w# Ceg9  
microprocessor-based environment. ^s_BY+#  
l It can reduce the waste of designing from scratch. cM= ? {W7~  
l The advantages of using a xx to represent xx are the following: 9F &s9(=\  
l However, xx is not without its shortcomings. sSM^net0  
l In most cases, the xxx shows an improvement over the existing S8 {Sb>  
xxx. ^+hqGu]M  
l Compared to the existing xx, the impacts of the xx are generally *Z+8L*k97  
reduced by 5% to 9%. SP,#KyWP0)  
l The "best case" results shows a savings of 6% to 9%. zj?^,\{A  
l Most of the existing works based on xx approach can only ?W#>9WQi  
recognize a xx . $!(J4v=X  
l Most of the above methods are computational expansive and 7(q EHZEr  
limited to xx. ((2 g  
l Some other advantages of xx are the following: 9vAY|b^  
l The problem is the limitation of this method to a limited domain of L=7 U#Q/DE  
parts. RY>BP[h  
l It proved limited in application because it demanded precision in %[x oA)0!  
system modeling that was impossible in practice. }\9elVt'2  
l There are advantages to be gained in the structuring of costs and HG1)q\Xd  
benefits, the use of xx, rNdeD~\  
l The disadvantages of this method are also disadvantages of y?ps+ce93  
conventional xx approaches. NA%(ZRSg(  
i|z=q  
l This combines the best features of both techniques h)W?8XdM  
l Hopefully, this tool can be as the reference framework of for x1gfo!BN  
developing a xx platform, and helping the administration, marketing, \S[7-:Lu^  
and knowledge management activities in virtual communities. S,K'y?6  
Results iIOA54!o  
l An improvement on the result shown above can be made by based j%2l%Mx(  
on the data provided k`LoRqF  
l Discussion of these theories is beyond the scope of this review ZnX]Q+w  
l Based on the information contained in this 2"31k2H[  
l The result can be categorized into nine classes y^7ol;t  
l The results are illustrated by an example x%acWeV5  
l The experimental results for each xx time are reported in Table 2. 9<0p1WO  
l From the results obtained so far, it seem that `m6>r9:  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn f0uzoeL<%  
as @a AR99M  
l Although much effort has been made to., this reality is far from 3Un{Q~6h  
completion. KO`ftz3 +  
l The results indicate that the total benefits are higher than the zTDB]z!A  
total costs. (1~d/u?2\  
l Their results may then serve as guidelines for lower level models, 7H$0NM P  
less fuzzy and more detailed. s}MD;V& 0  
Chapter 6. Conclusion TO&ohATp  
l From the discussion, one may conclude that ... d|GQZAEJEt  
l Form the above discussion, the conclusion can be reached that bRSE"B  
l The conclusions drawn are also valid G ZxM44fP  
l In conclusion to this, it becomes obvious that the problem of xx 4uQ\JD(*Eu  
lies not only in... "/ N ?$  
l We have attempted to introduce some concepts associated with a ;7id![KI4  
theory of XILB>o.^3  
xx based on fuzzy sets. .hBq1p  
l Considerable more work, hopefully, will be done in this area \!!qzrq  
l A fuzzy set procedure is proposed to solve xx selection problems 7Hghn"ol  
i!H)@4jX  
interwoven with imprecise data D{- h2=V  
l Employing the compositional rule of inference, the assessment of ]} D^?g^  
the xx compatibility in achieving prescribed xx projectiles in any glMYEGz6p  
level of the hierarchy is made possible. d:Y!!LV-@L  
l This paper has presented a theoretical and experimental study of =>? ;Iv'Z  
the xx process and xx concept. 06ndW9>wD)  
l The experimental research results will hopefully serve as useful tcDWx:Q  
feedback information for improvements for xx work. r] h>Bb  
l The scope of this contribution was to introduce a xx method. LtIR)EtB]  
l In general, fuzzy sets theory provides an alternative foundation KCBA`N8  
for xx analysis in a fuzzy environment. \,UpFuU\  
Future Research Cz1Q@<)  
l Thus, first extension of the approach could be, lN(|EI  
l Present some cues for a further approach from Fuzzy Sets Theory gxKL yZO!  
application to /9SEW! E  
l Some improvements to the scheduling aspect of the model may 0oNNEC  
be brought through additional levels in the hierarchy for more %bN+Y'  
detailed representation of the scheduling activity. O{vVW9Q  
Tables and Figures ftb .CPWI  
l Figure 7-1 sketches these relationships. Wg!<V6}  
l The graphical representation of these functions is shown in Figure D`Cy]j  
1. q1a*6*YB  
l The xx may be depicted as in Figure 1. <r>1W~bp.q  
l Figure x shows the schematic diagram of the +#RgHo?f  
l Figure 1 though 2 provide a ... that ;aj4V<@  
l the architecture of this expert system for .... is illustrated in Figure Qi=pP/Y  
2. YHp]O+c  
l Figure 2 gives the outline of an ... system ;f !}vo<;  
l Table shows the ?wi^R:2|j  
l as shown in Table 1 and 2 9Ai 3p  
l This concept is illustrated in Figure 2 Op_(10|  
l At the top of Table xx are shown two blocks of data. CJ YpgSr  
HhZ>/5'(  
l Each table or matrix has constructs xx through xx as oWLv-{08  
row-headings, BhzcimC)  
xx through xx as column-headings. N|2PW ~,  
l A table of .. is developed and significant recommendations are v.6K;TY.  
made. ROr|n]aJj  
CONJUGATION {+^&7JX  
To Indicate Addition 2 {xf{)hO?  
l additionally, again, also, and then, as can be easily understood, B'-n ^';  
besides, equally important, especially, finally, for the same reason, @:/H)F^x  
first, further, furthermore, in addition, last, likewise, moreover, next, O %1uBc  
second, third, too, evidently, obviously, roughly speaking, broadly $ vBFs]h  
speaking P] 0/S  
To Indicate Cause and Effect v[4-?7-  
l accordingly, as a result, consequently, for this reason, hence, in T2}X~A  
short, otherwise, then, therefore, thus, truly {#,?K  
To indicate Comparison W.c>("gC  
l in a like manner, likewise, similarly , alternatively .|i/ a%J  
To Indicate Concession Zg3 /,:1  
l after all, although this may be true, at the same time, even though, |~B`[p]5H  
even so , I admit, naturally, of course !>:]k?$b  
To Indicate Contrast %-L T56T  
l and yet, at the same time, but, for all that, however, yet, in fact, in o|APsQE  
contrast, in the real life, in spite of, nevertheless, notwithstanding, n^Q-K}!T/  
normally, on the contrary, on the other hand, still, traditionally, tu^C<MV  
rather, unfortunately, )T@?.J`  
To Indicate Time Relationships: GC[Ot~*_  
after a short time, afterwards, as indicated earlier, as long as, as soon Q[9W{l+  
k54b@U52 h  
as, at last, at length, at the moment, at that time, at the same time, $mxl&Qr>Q;  
before, earlier, currently, immediately, in the meantime, in recent x b!&'cw  
years, lately, later, meanwhile, often, of late, presently, recently, >]x%+@{|  
soon, shortly, since, thereupon, temporarily, therefore, until, when, 0 *]ZC'pm  
while H-3*},9  
To Indicate Special Features or Examples: sY* qf=  
for example, for instance, incidentally, indeed, in fact, in other words, NCVhWD21|  
in particular, in practice, specifically, that is, to illustrate, in this 19i=kdH  
respect, theoretically, as mentioned before / above U:gvK 8n  
To Indicate Summary: bp'\nso/  
in brief, in conclusion, in short, in summary, on the whole, to 8peK[sz  
conclude dB8  e  
, in general, to summarize, to sum up, as a result, ultimately, 0U! _o2]  
VERB PHASE s6!! ty;Y  
l build a .. model d~y]7h|  
l build up the key link OpmPw4?}  
l began a new era in ... ^2nH6,LPS  
l can be regarded as / achieved / used to/for / found / obtained B-wF1! Jv  
through 4{%-r[C9k  
l can result in " t,ZO  
l carries out ... tasks jWK>=|)=c  
l production information in order to simultaneously EV_u8?va  
l contains all information necessary to describe ]:Pkh./  
l do not make use of production information rfOrh^  
l deals with _r`(P#Hy  
l end with failure wvH*<,8V q  
l fetch the information from the model directly `rpmh7*WV  
l has great potential / yet to be resolved / spurred the 8<  z   
development of / c22L]Sxo  
been recognized as uP1]EA  
l BE aimed at / built up / carried out by / essentially concerned Se [>z(  
Kk>va->R  
with / considered to be the key technology / associated with each D;Y2yc[v  
feature of a compo qR^+K@ *|  
site component / cable of / currently implemented for / J:\O .F#Fi  
demonstrated by an example / finally reached / made equal to /  !~]'&9  
equivalent to / more suitable to / oriented to / interpreted as / :D:J_{HJ  
pointed out / potentially of great benefit in the complex task of / (~^KXJ{->  
shown in / used to effectively guide the search ^;;gPhhWV  
l makes use of wfM|3GS+.  
l make up =l%|W[OO  
l meets the needs of real life production,/ the current demands BsYJIKfW  
placed upon it 4x" je  
l must be justified HCaEETk5  
l point out @Cl1G  
l play an important role ?DC;Hk<  
l relates to :BUr8%l  
l rely on OZno 3H n  
l satisfy the needs &DWSu`z  
l determine the total requirements for the ... *"j3x} U<  
l uses ... as a key to search for... BtKbX)R$J  
l without relying on Bmi9U   
l will be available/ performed/ overlooked @;{iCVW  
NOUN PHASE sT>l ?L  
l a basic technical function of HeM-  
l a critical need ?yAjxoE~?  
l a key / principle feature of 6g'+1%O  
l a substantial impact on O+o_{t\R  
l an intensive review was conducted _E xd:  
l an increasing need for expanding the application of .... rTM0[2N  
l an important component / function / aspect / issue .0]Odf:@  
l each rule is numbered in sequence  ehQ~+x  
l each of these involves i UW.$1l  
l for this calculation, it is necessary to define TXK82qTdf  
l in the physical environment / integration of s F3M= uz  
ZVz`-h B  
l in the reality of situations where … H?j!f$sw  
l many aspects of ;.b^A  
l most past efforts have been spent on ... s@5r}6?M  
l common sense to a well studied and documented technical field. RTvzS]  
l sources of additional information on ... are listed 5`[B: <E4  
l systematic and rationally structured format V tJyE}  
l the basis on which a range of ...operations can be established is %Dm:|><V$b  
shown LkIbvJCV  
l THE basic philosophy / principles of / key element / general VNWa3`w  
hypothesis / candidate list of / concept of ... has attracted wide + +G %~)S:  
interest / function is concerned with / heart / impact / nature / role Shb"Jc_i  
/ task of / kernel functions ELQc: t -2  
l the number of parts needed to 9aZ^m$tAt  
l the above statement means that uQtwh08i  
l the output data is passed to 3eP7vy  
l the proposed method / underlying principle mL[Y{t#N  
l the recommendations made in this report, if implemented, should ?br 4 wl  
l this information resides in /f) #CR0$  
l this process is composed of ... different ... operation q X>\*@  
l along with the use of vQIN#;m4  
l concerning general aspects of ZP^7`q)6  
l due to W;@9x1jK X  
l for later use in generating..., @%sr#YqY  
l in turn, T&PLvyBL  
l IT IS believed / noted / assumed / suggested / shown / quite [.`%]Z(  
evident / appears / implies that / intended for / of no important to njN]0l{p  
l it can be claimed/concluded that ,,KGcDBj  
l it demonstrates the decisions required of {- ?8r>  
l it also provides information to .. :[ AP^  
l it becomes essential to I_h{n{,sr  
l let ... be the probability that J%n{R60b  
l once... is written, it is compiled into... %"> Oy&3  
l suppose it is observed that }475c{  
l this is because <7%4 =  
$=-Q]ld&]  
l this results in a {k}EWV  
l upon completion of the ... analysis, ^sjL@.'m$N  
l when the knowledge is of mathematics or quantum physics, it will a|v}L,  
also be  j{;RuNt  
recorded in books and papers 23;e/Qr  
l selection of rules for using the tools, for generating operation X0.-q%5  
plans, Kx;DmwX-  
is another matter of preference, since practice varies greatly. k<M~co;L  
l for the sake of convenience VnJ-nfA  
l correct decision to be reach B !(t<W8cu  
l keeping the number of rules to a minimum. |;-,(509  
l a good process plan will result exhibiting several characteristics: #89h}mp'  
l practical solutions m7XJe[O  
l because of rather small job lot sizes x,Cc$C~YP  
l Backward reasoning can be used to answer the question "should >t"]gQHtx  
milling tool be select" different level of knowledge in the realm of X'&$wQ6,K  
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:
2+6=? 正确答案:8
按"Ctrl+Enter"直接提交