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 >C|/%$kk:f  
cZn B 2T?  
JStT"*4j  
Beginning ]A*v\Qy  
1. In this paper, we focus on the need for k:D;C3vJd  
2. This paper proceeds as follow. **jD&h7$s-  
3. The structure of the paper is as follows. i,G )kt'H  
4. In this paper, we shall first briefly introduce fuzzy sets and related Gx75EQ2  
concepts @WuB&uF=d  
5. To begin with we will provide a brief background on the m*VM1kV  
Introduction (+g! ~MP  
1. This will be followed by a description of the fuzzy nature of the ,~@0IKIA Q  
problem and a detailed presentation of how the required GdN'G  
membership functions are defined. !?Tu pi  
2. Details on xx and xx are discussed in later sections. LGb.>O^  
3. In the next section, after a statement of the basic problem, various *.ffyBI*~  
situations involving possibility knowledge are investigated: first, an BS }uv3  
entirely possibility model is proposed; then the cases of a fuzzy L@rKG~{Xy  
service time with stochastic arrivals and non-fuzzy service rule is 0-dhGh?.  
studied; lastly, fuzzy service rule are considered. G $u:1&   
Review xe)< )y  
1. This review is followed by an introduction. 7S<Z&1(  
2. A brief summary of some of the relevant concepts in xxx and xxx is 1a {~B#  
presented in Section 2. Z+"%MkX0  
3. In the next section, a brief review of the .... is given. )F;[  
4. In the next section, a short review of ... is given with special regard u(KeS`  
to ... KZV$rJ%G  
5. Section 2 reviews relevant research related to xx. $j b3#Rj4  
6. Section 1.1 briefly surveys the motivation for a methodology of ]2Aqqy  
action, while 1.2 looks at the difficulties posed by the complexity of ,cm;A'4]  
systems and outlines the need for development of possibility v ~73  
methods. &libC>a[  
Body [|~X~AO%  
1. Section 1 defines the notion of robustness, and argues for its {]-nYHGL  
.a:Oj3=0  
importance. T8YqCT"EA<  
2. Section 1 devoted to the basic aspects of the FLC decision-making j#%*@]>Tg  
logic. #'z\[^vp  
3. Section 2 gives the background of the problem which includes xxx ee&QZVL>  
4. Section 2 discusses some problems with and approaches to, 5}e-~-  
natural language understanding. K)GC&%_$O  
5. Section 2 explains how flexibility which often ... can be expressed 9a)D8  
in terms of fuzzy time-window ;3'}(_n  
6. Section 3 discusses the aspects of fuzzy set theory that are used in #v-)Ie\F?  
the ... rjU $*+  
7. Section 3 describes the system itself in a general way, including xPqpNs-,  
the ….. and also discusses how to evaluate system performance. |6\ ?"#  
8. Section 3 describes a new measure of xx. B7t#H?  
9. Section 3 demonstrates the use of fuzzy possibility theory in the Uy ;oJY  
analysis of xx. Fg4eIE-/M  
10. Section 3 is a fine description of fuzzy formulation of human :KX/GN!n  
decision. wlKpHd*  
11. Section 3 is developed to the modeling and processing of fuzzy $if(`8  
decision rules & A9psc(,&  
12. The main idea of the FLC is described in Section 3 while Section 4 6@o_MtI  
describes the xx strategies. 2~h)'n7Mw  
13. Section 3 and 4 show experimental studies for verifying the T:cSv @G  
proposed model. |#5JI #,vX  
14. Section 4 discusses a previous fuzzy set-based approach to cost v}[KVwse  
variance investigation. ~`tc|Zu  
15. Section 4 gives a specific example of xxx. RWA|%/L  
16. Section 4 is the experimental study to make a fuzzy model of @uY%;%Pa8  
memory process. pS%,wjb&P  
17. Section 4 contains a discussion of the implication of the results of m !;mEBL{  
Section 2 and 3. ~n"V0!:'4  
18. Section 4 applies this fuzzy measure to the analysis of xx and shn`>=0.&  
illustrate its use on experimental data. #C%<g:F8  
19. Section 5 presents the primary results of the paper: a fuzzy set _Zf1=& U#/  
model .. y''?yr  
6xz&Qi7w  
20. Section 5 contains some conclusions plus some ideas for further Zb2 B5( 0  
work. X[;4.imE  
21. Section 6 illustrates the model with an example. {AIZ,  
22. Various ways of justification and the reasons for their choice are -ZihEyG?V  
discussed very briefly in Section 2. VdK-2O(.-  
23. In Section 2 are presented the block diagram expression of a !JYDg  
whole model B u4N~0  
of human DM system SKRD{MRsux  
24. In Section 2 we shall list a collection of basic assumptions which M;Vx[s,#,  
a ... scheme must satisfy. &5d>jEaB}  
25. In Section 2 of this paper, we present representation and a.8nWs^  
uniqueness theorems for the fundamental measurement of fuzziness M5)6|T  
when the domain of discourse is order-dense. 5@ ZD'  
26. In Section 3, we describe the preliminary results of an empirical p3^7Hr  
study de ](l687I  
currently in progress to verify the measurement model and to dwx1 EdJ{  
construct membership functions. `VBjH]$  
27. In Section 5 is analyzed the inference process through the two g>f(5  
kinds of inference experiments... 0W=IuPDU  
This Section +%gh?  
1. In this section, the characteristics and environment under which t9P` nfY  
MRP is designed are described. o)-Qd3d%S  
2. We will provide in this section basic terminologies and notations +U6! bu>C  
which are necessary for the understanding of subsequent results. oN _% oc  
Next Section 6'wP?=  
2. The next section describes the mathematics that goes into the <,cDEN7  
computer implementation of such fuzzy logic statements. [;.zl1S<  
3. However, it is cumbersome for this purpose and in practical 9Xm"kVqd/  
applications the formulae were rearranged and simplified as F` ?p Z  
discussed in the next section. ((?^B  
4. The three components will be described in the next two section, +pjD{S~Y  
and an example of xx analysis of a computer information system will ?NHh=H\7u  
zxsnrn;|  
then illustrate their use. ]q?<fEG2<  
5. We can interpret the results of Experiments I and II as in the OK2wxf  
following sections. }D|"$*  
6. The next section summarizes the method in a from that is useful /Hd\VI  
for arguments based on xx p$"*U[%l  
Summary Y8C Xin h  
1. This paper concludes with a discussion of future research {(aJrSE<z  
consideration in section 5. S:R%%cy  
2. Section 5 summarizes the results of this investigation. #D}NT*w/  
3. Section 5 gives the conclusions and future directions of research. r<b g->lX  
4. Section 7 provides a summary and a discussion of some extensions @w|~:>/g  
of the paper. #U6Wv1H{Lp  
5. Finally, conclusions and future work are summarized [(dAv7YbN  
6. The basic questions posed above are then discussed and vwT?B p  
conclusions are drawn. L;v#9^Fq  
7. Section 7 is the conclusion of the paper. ixU1v~T  
Chapter 0. Abstract ]p$fEW g  
1. A basic problem in the design of xx is presented by the choice of a b2:CFtH5  
xx rate for the measurement of experimental variables. Z/2#h<zj  
2. This paper examines a new measure of xx in xx based on fuzzy jI y'mGaG  
mathematics which overcomes the difficulties found in other xx YgVZq\AV"  
measures. Lo !kv*  
3. This paper describes a system for the analysis of the xx. DuCq16'0T  
4. The method involves the construction of xx from fuzzy relations. G:A` n;E0  
5. The procedure is useful in analyzing how groups reach a decision. X\flx~  
6. The technique used is to employ a newly developed and versatile .+ _x|?'  
xx algorithm. !$&K~>`  
7. The usefulness of xx is also considered. kkh#VGh"  
8. A brief methodology used in xx is discussed. .PF~8@1ju  
9. The analysis is useful in xx and xx problem. A2htD!3  
10. A model is developed for a xx analysis using fuzzy matrices. Knn$<!>  
11. Algorithms to combine these estimates and produce a xx are Wny{qj)=  
XFH7jHnL+U  
presented and justified. B 6|=kl2C  
12. The use of the method is discussed and an example is given. A.(Z0,S-i  
13. Results of an experimental applications of this xx analysis -u8 ma%JW  
procedure are given to illustrate the proposed technique. * y u|]T  
14. This paper analyses problems in HjL+Wg  
15. This paper outlines the functions carried out by ... [9*+s  
16. This paper includes an illustration of the ... *\-6p0~A  
17. This paper provides an overview and information useful for na>UFw7>*  
approaching ys09W+B7  
18. Emphasis is placed on the construction of a criterion function by 2g ukK8R$  
which the xx in achieving a hierarchical system of objectives are 9Yd<_B#  
evaluated. 1;S@XC>  
19. The main emphasis is placed on the problem of xx s}X2*o`,  
20. Our proposed model is verified through experimental study. Me2%X>;  
21. The experimental results reveal interesting examples of fuzzy -PoW56  
phases of: xx, xx -I '#G D>  
22. The compatibility of a project in terms of cost, and xx are likewise g2BE-0,R  
represented by linguistic variables. =J<3B H^m  
23. A didactic example is included to illustrate the computational H $XO] \  
procedure g-Vxl|hR  
Chapter 1. Introduction sA#}0>`3S  
Time =YO q0  
1. Over the course of the past 30 years, .. has emerged form intuitive 4*P#3 B'@V  
2. Technological revolutions have recently hit the industrial world 3c}@_Yn  
3. The advent of ... systems for has had a significant impact on the O,x[6P54P  
4. The development of ... is explored Xq@Bzya  
5. During the past decade, the theory of fuzzy sets has developed in a `1{Y9JdQ  
variety of directions _ VKBzOH  
6.The concept of xx was investigated quite intensively in recent years [0qe ?aI  
7. There has been a turning point in ... methodology in accordance x+EkL3{  
with the advent of ... %68'+qz  
8. A major concern in ... today is to continue to improve... nl5A{ s  
9. A xx is a latecomer in the part representation arena. ~G,_4}#"pM  
]l>LU2 sx  
10. At the time of this writing, there is still no standard way of xx FUzN }"\1  
11. Although a lot of effort is being spent on improving these ``4e&  
weaknesses, the efficient and effective method has yet to be 4Oo{\&(  
developed. 0Q?)?8_  
12. The pioneer work can be traced to xx [1965]. p>_Qns7W  
13. To date, none of the methods developed is perfect and all are far V^Y'!w\LGI  
from ready to be used in commercial systems. /9ctmW1!<  
Objective / Goal / Purpose lg"aB  
1. The purpose of the inference engine can be outlined as follows: :^7>kJ5?  
2. The ultimate goal of the xx system is to allow the non-experts to G?kK:eV  
utilize the existing knowledge in the area of manual handling of loads, >Q $ph=  
and to provide intelligent, computer-aided instruction for xxx. <aztbq?  
3. The paper concerns the development of a xx v%:VV*MxF  
4. The scope of this research lies in 0vETg'r  
5. The main theme of the paper is the application of rule-based qv& Bai[  
decision making. G/*;h,NbNr  
6. These objectives are to be met with such thoroughness and B*Q9g r  
confidence as to permit ... cbN;Kv?ak}  
7. The objectives of the ... operations study are as follows: nv0\On7wd  
8. The primary purpose/consideration/objective of 8~tX>q<@q  
9. The ultimate goal of this concept is to provide pO_IUkt  
10. The main objective of such a ... system is to y];-D>jk  
11. The aim of this paper is to provide methods to construct such NV7k@7_{B  
probability distribution. SE'!j]6jI  
12. In order to achieve these objectives, an xx must meet the ;$W HT O(  
following requirements: ~w a6S?  
13. In order to take advantage of their similarity W:,Wex^9n  
14. more research is still required before final goal of ... can be k,[*h-{8  
completed 2]1u0-M5L  
15. In this trial, the objective is to generate... Q_U.J0  
16. for the sake of concentrating on ... research issues 2 /FQ;<L  
17. A major goal of this report is to extend the utilization of a recently p}^5ru  
developed procedure for the xx. SRwD`FF  
i|J%jA  
18. For an illustrative purpose, four well-known OR problems are /M_$4O;*@  
studied in presence of fuzzy data: xx. 4);_f  
19. A major thrust of the paper is to discuss approaches and ZUHRATT-  
strategies for structuring ..methods 0?<#!  
20. This illustration points out the need to specify 1h&`mqY)L.  
21. The ultimate goal is both descriptive and prescriptive. &^r>Q`u  
22. Chapter 2. Literature Review d=/0A\O  
23. A wealth of information is to be found in the statistics literature, |M7cB$y  
for example, regarding xx hbJ>GSoZ,  
24. A considerable amount of research has been done .. during the g w" \pD  
last decade uMJ \  
25. A great number of studies report on the treatment of <7M-?g:vj  
uncertainties associated with xx. BDT L5N  
26. There is considerable amount of literature on planning $VuXr=f}  
27. However, these studies do not provide much attention to gcU*rml  
uncertainty in xx. +n)n6} S  
28. Since then, the subject has been extensively explored and it is {'5"i?>s0>  
still under investigation as well in methodological aspects as in <h/%jM>9/  
concrete applications. Nc ;O)K!FH  
29. Many research studies have been carried out on this topic. <s9?9^!!V^  
30. Problem of xx draws recently more and more attention of system vrkY7L3\  
analysis. `Mnu<)v  
31. Attempts to resolve this dilemma have resulted in the l3>S{  
development of " 8xAe0-4  
32. Many complex processes unfortunately, do not yield to this Z0F~?  
design procedure and have, therefore, not yet been automated. vADiW~^Q^  
33. Most of the methods developed so far are deterministic and /or iwotEl0*{  
probabilistic in nature. l/&.HF  
34. The central issue in all these studies is to 0!T`.UMI  
35. The problem of xx has been studied by other investigators, b:m+I  
however, these studies have been based upon classical statistical Zw.8B0W  
approaches. E TT46%Y  
36. Applied ... techniques to EB~]6.1  
37. Characterized the ... system as 1E+12{~m"i  
-V2\s  
38. Developed an algorithm to VdLoi\-/L  
39. Developed a system called ... which "Ms;sdjg}&  
40. Uses an iterative algorithm to deduce $x0SWJ \G  
41. Emphasized the need to o ).deP s-  
42. Identifies six key issues surrounding high technology =]W i aF  
43. A comprehensive study of the... has been undertaken qJhsMo2IH  
44. Much work has been reported recently in these filed f7Gn$E|/r;  
45. Proposed/Presented/State that/Described/Illustrated/ X8 nos  
Indicated/Has shown / showed/Address/Highlights w!.@64-  
46. Point out that the problem of EBj^4=b[  
47. A study on ...was done / developed by [] _yg_?GH  
48. Previous work, such as [] and [], deal only with c8l>OS5i3_  
49. The approach taken by [] is O$Rz/&  
50. The system developed by [] consists A# {63_H  
51. A paper relevant to this research was published by [] IhnBp 6p9  
52. []'s model requires consideration of... JK k0f9)  
53. []' model draws attention to evolution in human development C|'DKT4M&  
54. []'s model focuses on... K7 e~%mY  
55. Little research has been conducted in applying ... to O'y8q[2KE  
56. The published information that is relevant to this research... SQKhht`M  
57. This study further shows that Gw M:f/eV  
58. Their work is based on the principle of FFHq':v  
59. More history of ... can be found in xx et al. [1979]. R.~[$G!  
60. Studies have been completed to established $|K d<wv  
61. The ...studies indicated that x#rgFY,TY  
62. Though application of xx in the filed of xx has proliferated in |V9[a a*c  
recent years, effort in analyzing xx, especially xx, is lacking. 1b,a3w(:1  
Problem / Issue / Question 8{ zX=  
63. Unfortunately, real-world engineering problems such as 2*#|t: (c  
manufacturing planning do not fit well with this narrowly defined 1+l8%G=hB  
model. They tend to span broad activities and require consideration ;b~ S/   
of multiple aspects. 7)66e  
64. Remedy / solve / alleviate these problems ho]:)!|VY  
67. ... is a difficult problem, yet to be adequately resolved ua\t5M5  
BZR{}Aj4pa  
68. Two major problems have yet to be addressed %!aU{E|@_  
69. An unanswered question FG?Mc'r&  
70. This problem in essence involves using x to obtain a solution. 8@3K, [Mo  
71. An additional research issue to be tackled is .... ~9X^3.nI  
72. Some important issues in developing a ... system are discussed ZsmOn#`=^}  
73. The three prime issues can be summarized: r pNb.  
74. The situation leads to the problem of how to determine the ... [ks_wvY:'  
75. There have been many attempts to Q*ITs!~Z  
76. It is expected to be serious barrier to TlG>)Z@/  
77. It offers a simple solution in a limited domain for a complex z;OYPGvkw  
problem. B2`S0 H  
1. There are several ways to get around this problem. -,bFGTvYQ  
2. As difficult as it seems to be, xx is by no means new. ?h<4trYcv  
3. The problem is to recognize xx from a design representation. )G[byBa  
4. A xx problem can trace its roots to xx. k.J%rRneN  
5. xx [1987] used a heuristic approach to simplify the complexity of b3(* /KgK  
the problem. 6 FS%9.Ws  
6. Several problems are associated with them. K)Y& I  
7. Although some progress has been made in this area, at least two 2e48L677-  
major obstacles must be overcome before a fully automated system A5l Cc b  
can be realized. 1 ZdB6U0  
8. Most problems in practice are complicated J^!;$Hkd  
9. More problem surface here. @"w4R6l+*  
10. Hamper effort toward a xx system 6BE,L  
11. In order to overcome the limitations due to incomplete and wj[yo S  
imprecise xx knowledge, a xx program has been developed, which 8|&,JdT  
bases its knowledge upon the statistical analysis of a sample So%X(, |  
population of xx >XN[KPTa  
12. The above difficulties are real challenges faced by researchers I&PJ[U#~a  
attempting to develop h]7_ N,  
13. This type of mapping raises no controversy to the issue of ULx:2jz  
membership function determination. kG^76dAQL  
14. However, attempts to quantify the xx have met both theoretical ucCf%T\:  
and empirical problems. 3:nhZN/95T  
I}$`gUXX8x  
15. It has become apparent that in order to apply this new (P>nA3:UXB  
methodological framework to real-world problems and data, we have .1QGNW  
to pay attention to the problems of xx and xx. c r=Q39{  
Chapter 3. Proposed methodology %-hSa~20  
Assumption )W\) 37=.  
1. In the case when the assumption of a xx seems to be too $<*) 5|6  
restrictive or inadequate, the formulation with Fuzzy termination jCd]ENl+_  
time, i.e. given by a fuzzy set in the space of control stages, may be Ae5A@4  
applied. O>`k@X@9/  
2. We assume here the fuzzy constraints to be state-dependent, and 0aT:Gy;  
the fuzzy goal to be the same for all the control states, xx, which W]4Z4&  
stems from the problem's nature. kD#T _d  
3. An approach to the solution of this problem is presented under the R~<N*En~  
assumption that the sampling rate Decision can be made prior to the XQ1]F{?/ H  
execution of the experiment, as opposed to being made while the 14$%v;Su4  
experiment is in progress. >Eh U{@Y  
4. Another assumption made above is that there are precise odds at A}fm).Wp@  
which the expert is indifferent. /gAT@ Vx  
5. Main simplifying assumptions are: eKLvBa-{@  
6. This, in our view, is a questionable assumption. AA\)BNM  
Outline / Structure / Module z ]f(lwo{  
1. An outline of the research ]m_x;5s $  
2. Information is incorporated within the scheme t?hfP2&6  
3. Is built into ... structure Jm!,=} oP'  
4. A nice modular structure. d&3"?2 IQ  
5. The principles of ... are applied as modularized criteria MkW=sD_  
Classification e5mu-  
1. A xx system comprises three main components: Byq VNz0L  
2. Must decompose the original .. into a set of .. izSX  
3. Consists of the following steps: eEXNEgbn  
4. This is summarized in the following steps: S(@kdL  
;*?>w|t}w  
5. Can be broadly classified into the following areas: gk%01&_>4  
6. Can be characterized by its function of effectively processing the cs6oD!h  
7. Can allow further breadth of application of ...into more L#S W!  
8. The following steps should be followed cr;:5D%_  
9. xx can be classified by a different ways. ZH~bY2^;  
10. Based on the xx, one may classify xx into the following: zgY VB}  
11. This catalog may change due to wear, breakage, and purchasing. \W=3P[gb  
System FS}b9sQ)  
1. Unlike many conventional program, expert systems do not !4Aj#`)  
usually deal with problem for which there is clearly a right or wrong HGAi 2+&  
answer. gaN/ kp  
2. The system consists of both ... and ... z5gVP8*z5  
3. The system has a hierarchical modular architecture organized on 4T3Z9KD!8  
three levels. ~!ooIwNNz  
4. expert system domains are area of expertise lU 62$2  
5. To develop a xx system for xx, the following factors must be CHTK.%AQH!  
considered: 7;+G)44  
6. The system has been developed / designed to determine UYxn? W.g  
7. The system has proven to be able to %Bw:6Y4LZ  
8. The domain in which an expert system operates is a particular rf H1Zl  
domain Mf14> `<`  
9. The system comprises a ... with "gy&eR>  
10. The system is [feature-oriented ] / based on the ... technique (rFiHv5  
11. The system environment must be relatively stable c2 NB@T9'v  
12. The system is utilized to generate, load, store, update and !Ew ff|v"  
retrieve ... 8#;=>m%  
13. The development of a xx system has two stages: xx stage and xx / -v ;  
stage. 7d R?70Sz  
14. The most essential part of .. system is the ... .v(GVkE}  
15. The successful developments in ESs have made them an :!MEBqcU  
important tool in the development of 7f+@6jqD\)  
16. An automated system was developed for "a].v 8l!  
17. In this case, the system can be considered to be generative. #w.0Cc  
>%;i@"  
18. An interactive automatic ... system ef^GJTv&k  
19. A …. is commonly thought of as a truly integrated .. system t@R[:n;+  
20. Should be capable of being generated from a ... system 9;Z{++z  
21. xx is an important part of the integrated system. .^*;hZ~4%  
22. The model consists of four rule bases, each of which addresses a \}4Y]xjV2  
separate problem in the hierarchy of scheduling decision. +z nlf-  
23. The rule bases are linked to each other in a chin-like manner in ;&< N1  
the sense that the consequent of one rule base constitutes a part of _^Q!cB'~/`  
the antecedent of the next rule base. MJ ch Z  
24. The rule base consists of all possible combinations of the #WZat ?-N  
linguistic terms associated with the linguistic variable of the j7ZxA*  
antecedent of a rule. " <+~u z  
Computer System !O%!A<3  
1. The system has been implemented using Prolog language in an Xg d-^  
MS-DOS environment. Prolog was chosen because it offers a well VIdKe&,  
known and flexible environment in which fuzzy reasoning may be w\s`8S  
easily implemented. xgMh@@e  
2. The current version of the xx program when compiled with Y>w7%N  
WATFOR77 results in an executable code of about 270K bytes. OY}FtG y  
Typical run time, when run on a XX computer (an IBM compatible 3as=EYm  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min _|["}M"?  
to 2h, depending on the size (or complexity) of the problem. B?i#m^S  
3. Time consuming procedures have been implemented in s>o#Ob@4'  
C-language and directly linked to the Prolog environment. @U8u6JNK'  
4. The xx process, once the xx's data has been entered, requires T+nID@"36  
approximately 180 seconds. nfF$h}<o+  
5. It should be noted that the computation was done with a 20 Hhz, hUi@T}aA|  
80386..209;based microcomputer equipped with a 80387 math .2c/V  
co-processor. .fJ8   
6. The computer programs used for the analyses, one based on the xx x3&gB`j-  
method and the other based on the new method, were written in iGhvQmd(/*  
FORTRAN with a compiler that supports the math co-processor. u X1;  
7. Lisp, Prolog give maximum flexibility but also maximizes I;NW!"pU  
I9 z s  
development time. ldUZ\z(*  
l Internal representation is the way a model is represented in the A .&c>{B7  
computer. ~Pw9[ycn3  
l An interactive menu-driven procedure is used in this study 2>9\o]ac4  
l Shell can be develop very fast at the cost of time fairly severe pL1ABvBB  
limitations. V?S}%-a  
l While there is no measurable saving of time for the case involving Axsezr/  
five criteria, the saving is dramatic for the case involving 10 criteria 4,LS08&gh  
-- the computation time reduces from 10 hr 40 min to about 1 min. Ck )W=  
l This combination is being implemented in an objected-oriented L" ejA  
programming environment (Smalltalk-80 system) to solve problems 0RA#Y(IR  
encountered in construction xxx. &Tt7VYJfIV  
Method / Approach / Study / Process Model / Equation /Algorithm / n#x_da-m]  
Rule / Formula / Technique V\zcv@  
l A discussion is presented of a problem-solving system UxNn5(:sM@  
l To improve the efficiency of the method, the following approach [<f2h-V$  
may be applied. :4V5p =v-  
l In order to an investigation was made to find the causes of the HSNj  
l Although large collections of rules and equations have been ):PN0 .H8  
complied, none are generally accepted :bct+J}l~  
l This approach will be explained and discussed thoroughly in the !6-t_S  
body of the report. *d C|X  
l This can be accomplished by >KuNHuHu  
l This algorithm to compute the total cost can be described step by ^5]9B<i[Y  
step as follows: zgjgEhnvU  
l The above preliminary analysis has provided important |iUF3s|?  
information ra*|HcLD  
l Various methods have been proposed for selecting an optimum... T3oFgzoO  
l These concepts have been applied to acS~%^"<_  
l On the basis of the concept mentioned above, e*T^:2oRl  
l This can be achieved by [!%5(Ro_  
l This fact suggests that a new concept } 9zi5 o8  
l This was accomplished by taking ... u_WUJ_  
_UTN4z2aTG  
l The preparatory stage is very time consuming process. u b8d]GZJ  
l Test are performed for validity, completeness, and compatibility h<?Px"& J  
l There is little hope of achieving successful ... ~s&r.6 DW  
l There has been an increasing awareness of the potential of using )8^E{w^D}  
most ..so far made have not taken this approach, with the exception =M?+KbTJ3  
of ef*Z;HI0  
l Only a few studies can be found. eMdP4<u  
l It is a very tedious process to go through <UO[*_,\  
l It is only when .. has been completed that .. may be effected tb?TPd-OY  
l The entire interpretation process is conducted in one's head. ILDO/>n  
l These approaches are sometimes very tedious. dn'|~zf.  
l Several techniques can be used VTL_I^p  
l A polynomial parametric model can be written as [the Yz2N(g[  
following]/[follows]: '[' %b  
l A xx model is constructed/formulated using xx. k+[oYd  
l A xx model represents an xx by its xx. 4j0;okQWV'  
l A process decision model captures the logic essential to p}==aNZK  
l From the equation above, xx is equal to the summation of xx z4D)Xy"/  
times the ... ASEKP(]v  
l The validity of a xx model can be checked using Euler's formula. c[,Rh f  
l Given a model, one can mathematically determine whether ... or ... zK~_e\m  
l Equations for xx need to be derived and implemented in the e%:vLE 9  
system. xr.;B`T0\'  
l A number of heuristic rules have been developed for V1Ft3Msq  
l Optimum .. techniques can be made more reliable by ... so that GBZu<t/  
l An algorithm based on the characteristic ... is used to determine 'S}3lsIE  
l Euler's formula states the following: !_+FuF"@  
l The completed model should agree with the formula. I3.JAoB>!  
l For manufacturing purposes, a detailed and precise model of the g3'dkS!  
object is necessary eI`%J3BxR  
l Engineering design models are very well defined; therefore,  ,e 7 ~G  
l To keep the domain narrow enough to be implementable, yet wide jp_)NC/~g  
enough to xv>8rW(Np5  
be useful. #(}{*d R  
{7X9P<<L7  
Point of View j- aTp N  
l from an implementation standpoint, 6&i])iH  
l From the point of view of this application, ' "%hX&]5  
l From this point of view, Zadeh suggested an inference rule named  fZap\  
xxx (CRI for short). KX\=wFbP)  
l Information is the meaningful interpretation and correlation of `:ZaT('h  
some aggregation of data in order to allow one to make decisions. lM#/F\  
l From a practical point of view, the computational aspects of an yN[i6oe  
FLC require a simplification of the fuzzy control algorithm. (O:&RAkk7  
l The use of a hammer to insert screws, although partly effective, 7/]Ra  
tends to distort, destroy, and generally defeat the purpose of using a @QpL*F  
screw [Kusiak AI Implications for CIM p.129] Iza#v0  
Justification ;)f,A)(Z  
l We choose the so called xx in our experiment because it has o@$py U8  
received wide acceptance and can {O=_c|u{N  
l Prolog was chosen because it offers a well known and flexible YuO!Y9iEm  
environment in which fuzzy reasoning may be easily implemented. g( "[wqgG  
l The rationale behind this is that it can be much easier for an %dd B$(  
estimator to rate a cost as high than to attempt to place a dollar ^Kl<<pUaV  
value on the estimate. HD$ r<bl  
l This strategy has been widely used in fuzzy control applications j}} as  
since it is natural and easy to implement. /_(l :q^  
l A function definition expresses the membership function of a 2jQ?-/Q8#  
fuzzy set in a functional form, typically a bell-shaped function, etc. PM:u~D$Jd  
Such functions are used in FLC because they lead themselves to hR[_1vuIu  
manipulation through the use of fuzzy arithmetic. 0x,4H30t(  
l It should be noted that in our daily life most of the information on @[$q1Nm  
which our decisions are based is linguistic rather than numerical in 5NK yF  
nature. Seen in this perspective, fuzzy control rules provide a natural 2mthUq9b*  
framework for the characterization of human behavior and decisions bC&xN@4  
analysis. y>J6)F =  
l Many experts have found that fuzzy control rules provide a '<C# "2  
))6iVgSE$  
convenient way to express their domain knowledge. This explains m0Uk*~Gz  
why most FLCs are based on the knowledge and experience which :N4?W}r.  
are expressed in the language of fuzzy "if-the" rule. ]MMXpj,9h  
Chapter 4. Examples @G>&Gu;5  
Example/ Data $4CsiZ6  
l The data used in the following example was taken from an c<)O#i@3/  
experiment in which xx was measured between x and x using a xx w^ 8^0i-  
technique. -A"0mS8L  
l The data consists of over xx measurements. U4y ?z  
l An example of xx is discussed and the control rules of xx are 0o?2Sf`L\*  
compared with a xx Uv:NY1(3!  
l Examples of complex processes to which this technique may be  S)@) @3  
applied are xx, xx, etc. hQJ-  ~  
l The following example is constructed only for the purpose of _7-P8"m  
illustrating the computational procedure discussed. `hl1R3nBM  
l This example clearly demonstrates that the profile of an individual Ac Y!  
xx, or a very small group of xx, with no enough data to be studied >D$NEO^  
statistically, can be meaningfully analyzed by fuzzy possibilistic >56;M7b(K  
methods. NK(; -~{P  
l There is no space here to go into detail on all these methods, but 4,6nk.$yN  
deserve a mention and the bibliography will point to detailed A|0\ct  
references for those wishing this level of detail. nTXM/  
l Note that the golf ball spotting example is used throughout the [JX =<a)U  
paper. JI~@H /j  
Comparisons vqBT^Q_q;  
l As well, the pros and cons of these representations from a process @I0[B<,:G  
planning point of view will be discussed. pS<j>y  
l The method of using xx to implement xx described by Zadeh lJXihr  
(1973) appeared more suitable DWar3+u&0  
l As discussed [in the previous section]/[preciously], \}}) U#   
5Og=`T  
Relation hQDZ%>  
l We can not invert F' directly because it defines a many-to-one gJI(d6  
mapping. T,Zfz9{n  
l The relationships appear very complicate 79Si^n1\  
l Lifting tasks involve complex and imprecise relationship between 5"&{Egc_  
the task variables and the human operator's characteristics. g_t1(g*s  
l These methods are based on the relationship between ... and ... x*z$4)RP  
l The fundamental concept of a fuzzy rating language is that we can Sg}]5Mn`  
establish a relationship among terms such as high, medium, and low, i\u m;\  
and then modify these relationships. WscNjWQ^TD  
l This article will thus mention the latter as well as the former. /tGj`C&qtw  
l The former two bear a close relation to a fuzzy Cartesian product. "~zQN(sR"P  
Importance J+6bp0RIh  
l The emphasis is on an implementation of a general approach to _; ].  
rule based decision making. aI0}E O  
Consideration / Attention h,C?%H+/0Q  
l Careful evaluation is necessary to ensure .V: H~  
l Such a formulation does not change further considerations. XQ]5W(EP  
l Considerable attention has been paid to ;\Vi~2!8  
l Attention should be paid to an important finding of this 2K1odqO#   
investigation. OCVF+D :  
l Caution should be exercised in this process to avoid ... ;^j 2>Azn  
l Primary consideration is given to ... components, though others OAiip,  
can be accommodated ` d[ja,  
l After ... has been defined by ..., a carefully analysis is carried g[~"c}  
out/performed to determine h5?yrti  
l A number of factors such as ...need to be taken into consideration u.s-/ g  
before making the appropriate decision. U0kEhMIIf  
l It should be noted that s1eGItx[w  
l It is important to point out that ... 6mi: %)"  
l These considerations have heightened interest in the possibility of ?u9JRXj%  
providing ... Iq-+X3i  
<"" fJ`7  
l We should stress the fundamental importance of the xx loLN ~6  
Chapter 5. Results. noBGP/Av=:  
Advantages / Disadvantage z5G$'  
l One of the major advantages of this new measure of xx is that it P'4jz&4  
can be applied to the experimental study of +h$) l/>:  
l One advantage of using a .. is the ease of preparing it. zl W 5$cC[  
l The xx system is versatile t(|\3$z  
l It has a very fast decision making process D:gskK+o6M  
l All the algorithms involve mostly logical operations. =2z9Aq{  
l It can be easily and without additional cost implemented in a wY`yP!xO  
microprocessor-based environment. nSL x1Q  
l It can reduce the waste of designing from scratch. hYS*J908  
l The advantages of using a xx to represent xx are the following: o1"MW>B,4  
l However, xx is not without its shortcomings. P-?ya!@"  
l In most cases, the xxx shows an improvement over the existing *jps}uk<  
xxx. R~ $W  
l Compared to the existing xx, the impacts of the xx are generally l0m\2Ttf  
reduced by 5% to 9%. 2sJj -3J  
l The "best case" results shows a savings of 6% to 9%. ]Hp o[IF  
l Most of the existing works based on xx approach can only ^&'&Y>  
recognize a xx . R(c:#KF#8  
l Most of the above methods are computational expansive and ?t&sT  
limited to xx. G &'e P  
l Some other advantages of xx are the following: &J)q _Z8  
l The problem is the limitation of this method to a limited domain of W ?a2P6mAh  
parts. a sDq(J`sQ  
l It proved limited in application because it demanded precision in L-  -  
system modeling that was impossible in practice. qsjT o@A  
l There are advantages to be gained in the structuring of costs and Y~qv 0O6K  
benefits, the use of xx, Fg3VD(D^U  
l The disadvantages of this method are also disadvantages of *TpzX y  
conventional xx approaches. 18|i{fE;  
'1lr "}"Q+  
l This combines the best features of both techniques X]J]7\4tF\  
l Hopefully, this tool can be as the reference framework of for 2 0Xqs,  
developing a xx platform, and helping the administration, marketing, c5K@ <=?,E  
and knowledge management activities in virtual communities. 8]6u]3q#  
Results a D*  
l An improvement on the result shown above can be made by based ?*}^xXI/  
on the data provided #"^F:: b-  
l Discussion of these theories is beyond the scope of this review c?qg i"kS  
l Based on the information contained in this sp4J%2b  
l The result can be categorized into nine classes (nk)'ur.  
l The results are illustrated by an example &TqY\l  
l The experimental results for each xx time are reported in Table 2. }QszOi\fV1  
l From the results obtained so far, it seem that pA(B~9WQ  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn <#U9ih 2  
as (U"Ub;[ 7  
l Although much effort has been made to., this reality is far from lW^bn(_gQ  
completion. bkQEfx.  
l The results indicate that the total benefits are higher than the {{b&l!  
total costs. box(FjrZE  
l Their results may then serve as guidelines for lower level models, Y6T1_XG  
less fuzzy and more detailed. W+3ZuAP\n  
Chapter 6. Conclusion I\JJ7/S`t  
l From the discussion, one may conclude that ... /5^"n4/M  
l Form the above discussion, the conclusion can be reached that l0Myem v?z  
l The conclusions drawn are also valid <szD"p|K  
l In conclusion to this, it becomes obvious that the problem of xx J :  
lies not only in... a+$WlG/x  
l We have attempted to introduce some concepts associated with a x0^O?UR  
theory of i{8T 8  
xx based on fuzzy sets. M)Iu'  
l Considerable more work, hopefully, will be done in this area Yqs N#E3pf  
l A fuzzy set procedure is proposed to solve xx selection problems & 61;v@  
W2L:  
interwoven with imprecise data 7^|oO~x6  
l Employing the compositional rule of inference, the assessment of )i&z!|/2  
the xx compatibility in achieving prescribed xx projectiles in any y5_`<lFv  
level of the hierarchy is made possible. ]3@6o*R;  
l This paper has presented a theoretical and experimental study of =M"H~;f]  
the xx process and xx concept. P-9[,3Zd  
l The experimental research results will hopefully serve as useful V[-4cu,Ph^  
feedback information for improvements for xx work. -%]O-'  
l The scope of this contribution was to introduce a xx method. ,}15Cse  
l In general, fuzzy sets theory provides an alternative foundation %c%0pGn8-  
for xx analysis in a fuzzy environment. `Tt}:9/3  
Future Research P(I`^x  
l Thus, first extension of the approach could be, gakmg#ki  
l Present some cues for a further approach from Fuzzy Sets Theory ta]B9&c  
application to #L}Y Z  
l Some improvements to the scheduling aspect of the model may ^R* _Q,o#  
be brought through additional levels in the hierarchy for more $mvcqn;  
detailed representation of the scheduling activity. (4_7ICFI  
Tables and Figures |FZ)5  
l Figure 7-1 sketches these relationships. ;K<e]RI;?  
l The graphical representation of these functions is shown in Figure < aeBhg %  
1. Zw+VcZz3  
l The xx may be depicted as in Figure 1. 8Xpf|? .  
l Figure x shows the schematic diagram of the 44 bTx y  
l Figure 1 though 2 provide a ... that ~m^.&mv3/  
l the architecture of this expert system for .... is illustrated in Figure ,i>u>YNZ  
2. O9OD[VZk  
l Figure 2 gives the outline of an ... system WAPN,WuW  
l Table shows the {~.~ b+v  
l as shown in Table 1 and 2 f8`K8Y]4  
l This concept is illustrated in Figure 2 :uhU<H<,f  
l At the top of Table xx are shown two blocks of data. 8A/;a{   
0r?975@A  
l Each table or matrix has constructs xx through xx as Y<('G5A  
row-headings, tins.D  
xx through xx as column-headings. eli T<sw8  
l A table of .. is developed and significant recommendations are  X._skq  
made. P" +!mSe^~  
CONJUGATION 5W/!o&x~7  
To Indicate Addition C^ngdba\  
l additionally, again, also, and then, as can be easily understood, :^7P. lhK  
besides, equally important, especially, finally, for the same reason, %lVc7L2]  
first, further, furthermore, in addition, last, likewise, moreover, next, ~`'!nzP5H  
second, third, too, evidently, obviously, roughly speaking, broadly N@D]Q&;+(T  
speaking uC{qaMQ  
To Indicate Cause and Effect VC%{qal;q  
l accordingly, as a result, consequently, for this reason, hence, in $OI 6^  
short, otherwise, then, therefore, thus, truly nulCk33x'=  
To indicate Comparison 1Rlg%G'  
l in a like manner, likewise, similarly , alternatively i}cqV B?r  
To Indicate Concession +"8 [E~Bih  
l after all, although this may be true, at the same time, even though,  lJaR,,  
even so , I admit, naturally, of course f681i(q"  
To Indicate Contrast 0vN<0  
l and yet, at the same time, but, for all that, however, yet, in fact, in N ]KS\  
contrast, in the real life, in spite of, nevertheless, notwithstanding, tHF -OarUO  
normally, on the contrary, on the other hand, still, traditionally, ,(d\!T/]'  
rather, unfortunately, ?y1']GAo  
To Indicate Time Relationships: a1p Z{Od  
after a short time, afterwards, as indicated earlier, as long as, as soon WXJEAje  
RmF,x9  
as, at last, at length, at the moment, at that time, at the same time, Yj%hgb:)  
before, earlier, currently, immediately, in the meantime, in recent XY1D<  
years, lately, later, meanwhile, often, of late, presently, recently, >R9Q|   
soon, shortly, since, thereupon, temporarily, therefore, until, when, U^qQ((ek  
while !,D7L6N  
To Indicate Special Features or Examples: UC3&:aQ!  
for example, for instance, incidentally, indeed, in fact, in other words, 6T-h("t  
in particular, in practice, specifically, that is, to illustrate, in this ~Mk{2;x  
respect, theoretically, as mentioned before / above 71euRIW'5  
To Indicate Summary: x`7Ch3`4}  
in brief, in conclusion, in short, in summary, on the whole, to 9W^sq<tR  
conclude D~~"wos  
, in general, to summarize, to sum up, as a result, ultimately, E}^np[u7  
VERB PHASE ?= G+L0t  
l build a .. model Sq#AnD6To  
l build up the key link U.XvS''E  
l began a new era in ... k2bjBAT  
l can be regarded as / achieved / used to/for / found / obtained eBlWwUy*6f  
through E[Xqyp!<  
l can result in ++9?LH4S4  
l carries out ... tasks qV;E% XkkS  
l production information in order to simultaneously MP/@Mf\<E  
l contains all information necessary to describe DIqM\ ><  
l do not make use of production information =g.R?H8cj5  
l deals with C ~e&J&zh  
l end with failure "Wz8f  
l fetch the information from the model directly BE0Ov{'  
l has great potential / yet to be resolved / spurred the Cs:?9G  
development of / |Do+=Gr$t@  
been recognized as ]|JQH  
l BE aimed at / built up / carried out by / essentially concerned [Sr^CY P(  
?xa70Pb{;  
with / considered to be the key technology / associated with each /"+CH\) E  
feature of a compo N_:H kI6  
site component / cable of / currently implemented for / fMpxe(  
demonstrated by an example / finally reached / made equal to / f 7R/i  
equivalent to / more suitable to / oriented to / interpreted as / 1'NJ[ C`  
pointed out / potentially of great benefit in the complex task of / qw?Wi%t(x8  
shown in / used to effectively guide the search `e`}dgf0S|  
l makes use of ._E 6?  
l make up {})d}dEC  
l meets the needs of real life production,/ the current demands 1+F0$<e}  
placed upon it k ~0#Iy_{M  
l must be justified C6?({ QB@  
l point out ]/9@^D}&  
l play an important role B_uhNLd  
l relates to 6%a9%Is!O  
l rely on H|Y*TI2vf8  
l satisfy the needs &ir|2"HV  
l determine the total requirements for the ... :' =le*h  
l uses ... as a key to search for... .9u0WP95  
l without relying on bMA0#e2  
l will be available/ performed/ overlooked {X\%7Zef+  
NOUN PHASE \wKnX]xGf  
l a basic technical function of U!GfDt  
l a critical need *| 9:  
l a key / principle feature of pJ3-f k"i  
l a substantial impact on oO3X>y{gN  
l an intensive review was conducted ]@I>OcH  
l an increasing need for expanding the application of .... KY%LqcC  
l an important component / function / aspect / issue -l~+cI\2  
l each rule is numbered in sequence <74r  
l each of these involves G+1i~&uV  
l for this calculation, it is necessary to define M+VAol}1  
l in the physical environment / integration of ;lQ>>[*  
+,_%9v?3  
l in the reality of situations where … o3X0c6uU  
l many aspects of >rYkVlv  
l most past efforts have been spent on ... d}2(G2z^  
l common sense to a well studied and documented technical field. rhDiIO_  
l sources of additional information on ... are listed gle<{ `   
l systematic and rationally structured format #0:rBKm,  
l the basis on which a range of ...operations can be established is Nwg?(h#  
shown T|2v1Vj  
l THE basic philosophy / principles of / key element / general !E6Q ED"  
hypothesis / candidate list of / concept of ... has attracted wide P VSz%"  
interest / function is concerned with / heart / impact / nature / role 6!C>J#T  
/ task of / kernel functions #fDM{f0]R  
l the number of parts needed to 6MpV ,2:>  
l the above statement means that ><qA+/4]_  
l the output data is passed to s &f\gp1  
l the proposed method / underlying principle r&_e3#]*  
l the recommendations made in this report, if implemented, should $|N\(}R  
l this information resides in P9x':I$  
l this process is composed of ... different ... operation rY M@e  
l along with the use of 3U'l'H,  
l concerning general aspects of ,Fn-SrB:  
l due to AzVv- !Y  
l for later use in generating..., X6j:TF  
l in turn, (' 2Z&5  
l IT IS believed / noted / assumed / suggested / shown / quite U_RWqKL  
evident / appears / implies that / intended for / of no important to z 'V$)U$f  
l it can be claimed/concluded that ]_`ICS  
l it demonstrates the decisions required of dU2:H}  
l it also provides information to .. v SY YetL  
l it becomes essential to B}J0 d  
l let ... be the probability that /iL*)  
l once... is written, it is compiled into... wG73GD38  
l suppose it is observed that s{*bFA Z1F  
l this is because {&a6<y#-  
EMDYeXpV  
l this results in a p(fMM :  
l upon completion of the ... analysis, dK4w$~j{k  
l when the knowledge is of mathematics or quantum physics, it will z0%tBgqY(  
also be #N;&^El  
recorded in books and papers csA-<}S5]b  
l selection of rules for using the tools, for generating operation Ko)f:=Qo  
plans, X]o"vx%C  
is another matter of preference, since practice varies greatly. Mcq!QaO}&  
l for the sake of convenience RRQIlI<  
l correct decision to be reach U\!9dhx  
l keeping the number of rules to a minimum. 2qQ;U?:q  
l a good process plan will result exhibiting several characteristics: 5#y_EpL"  
l practical solutions B*9?mcP\  
l because of rather small job lot sizes S E(c_ sX  
l Backward reasoning can be used to answer the question "should :98:U~ d1  
milling tool be select" different level of knowledge in the realm of h lSav?V_  
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