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主题 : 英语论文写作常用经典句型
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楼主  发表于: 2007-11-10   

英语论文写作常用经典句型

英语论文写作常用经典句型 m\<< oIlH  
Ly#h|)  
bRx2 c  
Beginning CnxK+1n l  
1. In this paper, we focus on the need for r^?)F?n!  
2. This paper proceeds as follow. ;k9 ?  
3. The structure of the paper is as follows. \4[c}l  
4. In this paper, we shall first briefly introduce fuzzy sets and related )2iM<-uB  
concepts .OVW4svX  
5. To begin with we will provide a brief background on the l=oN X"l=  
Introduction <_##YSGh,  
1. This will be followed by a description of the fuzzy nature of the )e4WAlg8c  
problem and a detailed presentation of how the required i /O1vU#  
membership functions are defined. 4+ASw N9  
2. Details on xx and xx are discussed in later sections. LydbP17K}  
3. In the next section, after a statement of the basic problem, various Z! C`f/h9  
situations involving possibility knowledge are investigated: first, an t_[M &  
entirely possibility model is proposed; then the cases of a fuzzy #6Efev  
service time with stochastic arrivals and non-fuzzy service rule is &{-oA_@  
studied; lastly, fuzzy service rule are considered. eT7!a']x  
Review 6%\7.h  
1. This review is followed by an introduction. (Sg Et  
2. A brief summary of some of the relevant concepts in xxx and xxx is 4 7)+'`  
presented in Section 2. {AU` }*5  
3. In the next section, a brief review of the .... is given. Nz(c"3T;  
4. In the next section, a short review of ... is given with special regard %Y)PH-z  
to ... baUEsg[~V  
5. Section 2 reviews relevant research related to xx. "_ PH"W  
6. Section 1.1 briefly surveys the motivation for a methodology of d-6sC@PB  
action, while 1.2 looks at the difficulties posed by the complexity of `^X RrVX<  
systems and outlines the need for development of possibility rh:s 7  
methods. EmtDrx4!(f  
Body F]K$u <U  
1. Section 1 defines the notion of robustness, and argues for its SeRK7Q&_  
^]#Ptoz^(l  
importance. Nt`F0 9S  
2. Section 1 devoted to the basic aspects of the FLC decision-making L:t)$iF5+  
logic. Z`-)1!  
3. Section 2 gives the background of the problem which includes xxx 'NQMZfz  
4. Section 2 discusses some problems with and approaches to, :,h=2a_ 8  
natural language understanding. Ak\D6eHcB  
5. Section 2 explains how flexibility which often ... can be expressed 3X-{2R/ 3  
in terms of fuzzy time-window /?.r!Cp  
6. Section 3 discusses the aspects of fuzzy set theory that are used in dyQ<UT  
the ... haEZp6Z  
7. Section 3 describes the system itself in a general way, including i#@v_^q  
the ….. and also discusses how to evaluate system performance. M\Uc;:) H  
8. Section 3 describes a new measure of xx. )9A<fwpN  
9. Section 3 demonstrates the use of fuzzy possibility theory in the N8DiEB3~  
analysis of xx. 8^P2GG'+-  
10. Section 3 is a fine description of fuzzy formulation of human ]Vf8mkDGO  
decision. eu}:Wg2  
11. Section 3 is developed to the modeling and processing of fuzzy UijuJ(Tle  
decision rules ySr091Q  
12. The main idea of the FLC is described in Section 3 while Section 4 5H'b4Cyi`  
describes the xx strategies. Gpxb_}P  
13. Section 3 and 4 show experimental studies for verifying the ?v)"%.  
proposed model. =XRgT1>e  
14. Section 4 discusses a previous fuzzy set-based approach to cost TeGLAt  
variance investigation. WoClTb>F  
15. Section 4 gives a specific example of xxx. ZaNyNxbp>z  
16. Section 4 is the experimental study to make a fuzzy model of ;8%@Lan  
memory process. RBv=  
17. Section 4 contains a discussion of the implication of the results of ',J%Mv>Yf  
Section 2 and 3. YVZSKU  
18. Section 4 applies this fuzzy measure to the analysis of xx and +NzD/.gq  
illustrate its use on experimental data. W(PW9J9  
19. Section 5 presents the primary results of the paper: a fuzzy set )qe$rD;N  
model .. 93Ci$#<y  
gE6y&a  
20. Section 5 contains some conclusions plus some ideas for further kGBl)0pr`x  
work. k.? T.9  
21. Section 6 illustrates the model with an example. t#D\*:Xi  
22. Various ways of justification and the reasons for their choice are {7pE9R5  
discussed very briefly in Section 2. Bu >yRL=*  
23. In Section 2 are presented the block diagram expression of a )Ido|!]0d  
whole model 5f`XFe$8  
of human DM system 6 peM4X  
24. In Section 2 we shall list a collection of basic assumptions which T=f;n;/>  
a ... scheme must satisfy. B|q3;P  
25. In Section 2 of this paper, we present representation and Vp-OGX[  
uniqueness theorems for the fundamental measurement of fuzziness E6^S2J2  
when the domain of discourse is order-dense. S>ylAU;N  
26. In Section 3, we describe the preliminary results of an empirical CyBM4qyH  
study WbDC  
currently in progress to verify the measurement model and to Mb/6>  
construct membership functions. . =foXN  
27. In Section 5 is analyzed the inference process through the two r0$9c  
kinds of inference experiments... y88}f&z#5  
This Section W9:{pQG  
1. In this section, the characteristics and environment under which Ynh4oWUp  
MRP is designed are described. N n-6/]d#  
2. We will provide in this section basic terminologies and notations [\M?8R$)  
which are necessary for the understanding of subsequent results. {R8P $  
Next Section BRok 89  
2. The next section describes the mathematics that goes into the .N><yQ-j3'  
computer implementation of such fuzzy logic statements. ToXFMkwY  
3. However, it is cumbersome for this purpose and in practical <.%8j\j(  
applications the formulae were rearranged and simplified as  9DAwC:<r  
discussed in the next section. Pg 8=  
4. The three components will be described in the next two section, _nFvM'`<  
and an example of xx analysis of a computer information system will \C\y' H5  
S@2Jj>3D?  
then illustrate their use. ~S{\wL53  
5. We can interpret the results of Experiments I and II as in the )PN H| h  
following sections. a|{<#<6n(  
6. The next section summarizes the method in a from that is useful "ZB`fNE  
for arguments based on xx x3F L/^S  
Summary r|BKp,u9  
1. This paper concludes with a discussion of future research lfhKZX  
consideration in section 5. ?-v?SN#  
2. Section 5 summarizes the results of this investigation. eOO*gM=  
3. Section 5 gives the conclusions and future directions of research. ;j\$[4W.i  
4. Section 7 provides a summary and a discussion of some extensions |N.q[>^R  
of the paper. aZ3 #g  
5. Finally, conclusions and future work are summarized }nERQq&A  
6. The basic questions posed above are then discussed and tD482Sb=  
conclusions are drawn. @9 tv N}  
7. Section 7 is the conclusion of the paper. ! r\ktX  
Chapter 0. Abstract 0#GwhB  
1. A basic problem in the design of xx is presented by the choice of a j~> #{"C  
xx rate for the measurement of experimental variables. 2*E<G|-F  
2. This paper examines a new measure of xx in xx based on fuzzy j-E>*N}-_  
mathematics which overcomes the difficulties found in other xx Nxk'!:  
measures. 2;7GgO~  
3. This paper describes a system for the analysis of the xx. / UBA Q8TR  
4. The method involves the construction of xx from fuzzy relations. *#9kFz-  
5. The procedure is useful in analyzing how groups reach a decision. "2j~3aWj  
6. The technique used is to employ a newly developed and versatile !-Q!/?  
xx algorithm. 5WG@ ;K%  
7. The usefulness of xx is also considered. Li$k<AM  
8. A brief methodology used in xx is discussed. #>NZN1  
9. The analysis is useful in xx and xx problem. zOp"n\  
10. A model is developed for a xx analysis using fuzzy matrices. K",]_+b  
11. Algorithms to combine these estimates and produce a xx are Kwau:_B  
P3>2=qK"E(  
presented and justified. m>:ig\  
12. The use of the method is discussed and an example is given. EFOQ;q  
13. Results of an experimental applications of this xx analysis 0nn# U  
procedure are given to illustrate the proposed technique. >rGlj  
14. This paper analyses problems in Etk<`GRfA  
15. This paper outlines the functions carried out by ... 4K% YS  
16. This paper includes an illustration of the ... .=D6<4#t  
17. This paper provides an overview and information useful for jlZNANR3  
approaching ?+_"2XY  
18. Emphasis is placed on the construction of a criterion function by >X,6  
which the xx in achieving a hierarchical system of objectives are Kep?=9r4+  
evaluated. {[dqXG$v `  
19. The main emphasis is placed on the problem of xx **[p{R]8o  
20. Our proposed model is verified through experimental study. BC+qeocg  
21. The experimental results reveal interesting examples of fuzzy ~yg9ZM  
phases of: xx, xx umYdr'p!v  
22. The compatibility of a project in terms of cost, and xx are likewise lnUy ? 0(  
represented by linguistic variables. Kxn=iv^Ir  
23. A didactic example is included to illustrate the computational %0'f`P6  
procedure s,= ^V/c  
Chapter 1. Introduction FeJ5^Gh.  
Time a1&^P1.  
1. Over the course of the past 30 years, .. has emerged form intuitive mbK$Wp#  
2. Technological revolutions have recently hit the industrial world  P7!Sc  
3. The advent of ... systems for has had a significant impact on the |ipppE=  
4. The development of ... is explored *@Z'{V\  
5. During the past decade, the theory of fuzzy sets has developed in a A_+ WY|#M  
variety of directions xYq8\9Qb  
6.The concept of xx was investigated quite intensively in recent years 1 ['A1 ,  
7. There has been a turning point in ... methodology in accordance SE1 tlP  
with the advent of ... Y;WrfO$J  
8. A major concern in ... today is to continue to improve... X,b} d#\  
9. A xx is a latecomer in the part representation arena. ueOvBFgZ  
9cQSS'`F  
10. At the time of this writing, there is still no standard way of xx JqO( ]*"Hi  
11. Although a lot of effort is being spent on improving these ?bEYvHAzg  
weaknesses, the efficient and effective method has yet to be -MZ Eli g  
developed. gDrqs>8  
12. The pioneer work can be traced to xx [1965]. aVlHY E  
13. To date, none of the methods developed is perfect and all are far F&\o1g-L  
from ready to be used in commercial systems. Kj7Osqu2bE  
Objective / Goal / Purpose Co M8  
1. The purpose of the inference engine can be outlined as follows: xFJ>s-g*  
2. The ultimate goal of the xx system is to allow the non-experts to LImD]e`  
utilize the existing knowledge in the area of manual handling of loads, Mm5l>D'c  
and to provide intelligent, computer-aided instruction for xxx. v-kH7H"z  
3. The paper concerns the development of a xx NO&OuiN  
4. The scope of this research lies in 6*e:ey U  
5. The main theme of the paper is the application of rule-based } E=mZZ)  
decision making. </fnbyGR  
6. These objectives are to be met with such thoroughness and f?]cW h%  
confidence as to permit ... 0YS*=J"7z  
7. The objectives of the ... operations study are as follows: cc>h=%s`  
8. The primary purpose/consideration/objective of 2`z+_DA  
9. The ultimate goal of this concept is to provide $R^"~|m3M  
10. The main objective of such a ... system is to H=dj\B r`  
11. The aim of this paper is to provide methods to construct such -~5yl}  
probability distribution. 5=dg4"b]  
12. In order to achieve these objectives, an xx must meet the m?csake.Me  
following requirements: GVg0)}  
13. In order to take advantage of their similarity 'HC4Q{b`  
14. more research is still required before final goal of ... can be jQc0_F\  
completed H1X6f7`  
15. In this trial, the objective is to generate... NZl0sX.:  
16. for the sake of concentrating on ... research issues Oz+>I ^Q  
17. A major goal of this report is to extend the utilization of a recently hGpaHY>My  
developed procedure for the xx. eVy,7goh  
$`uL^ hlj]  
18. For an illustrative purpose, four well-known OR problems are !6kLg1  
studied in presence of fuzzy data: xx. LO QEU? z  
19. A major thrust of the paper is to discuss approaches and %9M_ * ]  
strategies for structuring ..methods S]<Hx_[}  
20. This illustration points out the need to specify 9@!`,Co  
21. The ultimate goal is both descriptive and prescriptive. Ly^r8I  
22. Chapter 2. Literature Review iR_X,&p   
23. A wealth of information is to be found in the statistics literature, {AB0 PM;-  
for example, regarding xx nY6^DE2f  
24. A considerable amount of research has been done .. during the 1(m8 9C[  
last decade ATwPfo8jx@  
25. A great number of studies report on the treatment of 0"ZRJl<)[I  
uncertainties associated with xx. .i&]VGv  
26. There is considerable amount of literature on planning Peb;XI  
27. However, these studies do not provide much attention to ? -6oh~W<  
uncertainty in xx. `,xKK+~YG-  
28. Since then, the subject has been extensively explored and it is 0kmZO"K#e  
still under investigation as well in methodological aspects as in nq r[HFWs  
concrete applications. 1{_;`V  
29. Many research studies have been carried out on this topic. D;m>9{=  
30. Problem of xx draws recently more and more attention of system U"/":w ~  
analysis. yw2sK7  
31. Attempts to resolve this dilemma have resulted in the  w;)@2}  
development of 85 -00m ~  
32. Many complex processes unfortunately, do not yield to this }ufH![|[r  
design procedure and have, therefore, not yet been automated. tK0?9M.)  
33. Most of the methods developed so far are deterministic and /or EE-jU<>|  
probabilistic in nature. RP!X 5  
34. The central issue in all these studies is to NZCPmst  
35. The problem of xx has been studied by other investigators, ~:v" TuuK  
however, these studies have been based upon classical statistical K8f;AK  
approaches. SCZtHEl9  
36. Applied ... techniques to p%ek)tT  
37. Characterized the ... system as n}}$-xl  
8 Zhx&  
38. Developed an algorithm to .3M=|rE   
39. Developed a system called ... which C,HKao\  
40. Uses an iterative algorithm to deduce ,p {|f}0  
41. Emphasized the need to bC&*U|de  
42. Identifies six key issues surrounding high technology OLg=kF[[  
43. A comprehensive study of the... has been undertaken ha&2V=  
44. Much work has been reported recently in these filed /J9|.];%r  
45. Proposed/Presented/State that/Described/Illustrated/ {d|e@`"T  
Indicated/Has shown / showed/Address/Highlights ^Cs?FF@P  
46. Point out that the problem of 76Ho\}-U">  
47. A study on ...was done / developed by [] 3\JEp,5  
48. Previous work, such as [] and [], deal only with j]~;|V5Z  
49. The approach taken by [] is gn4+$f~w  
50. The system developed by [] consists 'So,*>]63  
51. A paper relevant to this research was published by [] ;n`SF~CU  
52. []'s model requires consideration of... RzgA;ZC'  
53. []' model draws attention to evolution in human development 3g ep_ aC  
54. []'s model focuses on... 3V2dN )\  
55. Little research has been conducted in applying ... to X?kw=x{2P  
56. The published information that is relevant to this research... U|yXJ.Z3  
57. This study further shows that QmxI ;l  
58. Their work is based on the principle of 'ONCz  
59. More history of ... can be found in xx et al. [1979]. #s% _ L  
60. Studies have been completed to established j AXKp b  
61. The ...studies indicated that e,V @t%  
62. Though application of xx in the filed of xx has proliferated in N5K\h}'%  
recent years, effort in analyzing xx, especially xx, is lacking. csK;GSp}  
Problem / Issue / Question 3&`LVhx  
63. Unfortunately, real-world engineering problems such as v_G1YC7TU  
manufacturing planning do not fit well with this narrowly defined GoSdo  
model. They tend to span broad activities and require consideration 9fQ[:Hl"  
of multiple aspects. {$AwG#kt  
64. Remedy / solve / alleviate these problems \k 9EimT}  
67. ... is a difficult problem, yet to be adequately resolved b';oFUU>Q  
;+;%s D  
68. Two major problems have yet to be addressed "WF@T  
69. An unanswered question 6>Dm cG:.  
70. This problem in essence involves using x to obtain a solution. 2e_m>I  
71. An additional research issue to be tackled is .... X^o0t^  
72. Some important issues in developing a ... system are discussed yor6h@F1  
73. The three prime issues can be summarized: Ie"eqO!  
74. The situation leads to the problem of how to determine the ... @h=r;N#/`P  
75. There have been many attempts to H3#rFO"C*  
76. It is expected to be serious barrier to o$q})!  
77. It offers a simple solution in a limited domain for a complex [x[ nTIg  
problem. 2QIx ~Er  
1. There are several ways to get around this problem. >S}^0vNZX  
2. As difficult as it seems to be, xx is by no means new. `=%mU/v  
3. The problem is to recognize xx from a design representation. !-AK@`i.  
4. A xx problem can trace its roots to xx. M!4}B  
5. xx [1987] used a heuristic approach to simplify the complexity of vw2yOL RX  
the problem. 5}Z_A?gy  
6. Several problems are associated with them. 2 Q}^<^r  
7. Although some progress has been made in this area, at least two 9 M;k(B!  
major obstacles must be overcome before a fully automated system 8, " 5z_  
can be realized. | Kw}S/F  
8. Most problems in practice are complicated ;&9wG`  
9. More problem surface here. O>,Rsj!e  
10. Hamper effort toward a xx system 5H!6m_,w  
11. In order to overcome the limitations due to incomplete and A}W}H ;8x  
imprecise xx knowledge, a xx program has been developed, which {?uG] G7  
bases its knowledge upon the statistical analysis of a sample y^}00Z+l  
population of xx I><sK-3  
12. The above difficulties are real challenges faced by researchers "w&G1kw5I  
attempting to develop dQ-:]T (  
13. This type of mapping raises no controversy to the issue of |5g1D^b]s^  
membership function determination. <G60R^o  
14. However, attempts to quantify the xx have met both theoretical ^3lEfI<pBm  
and empirical problems. chszP{-@X  
I?X!v6  
15. It has become apparent that in order to apply this new T{4Ru6[  
methodological framework to real-world problems and data, we have X;QhK] Z  
to pay attention to the problems of xx and xx. q3e^vMK "  
Chapter 3. Proposed methodology js F96X{  
Assumption (( {4)5}  
1. In the case when the assumption of a xx seems to be too " "{#~X}  
restrictive or inadequate, the formulation with Fuzzy termination EL:Az~]V  
time, i.e. given by a fuzzy set in the space of control stages, may be Rdl^-\BV  
applied. us>$f20T  
2. We assume here the fuzzy constraints to be state-dependent, and !~QmY,R  
the fuzzy goal to be the same for all the control states, xx, which aqoxj[V^3L  
stems from the problem's nature. <?Y.w1  
3. An approach to the solution of this problem is presented under the ;To][ J  
assumption that the sampling rate Decision can be made prior to the +&qj`hA-b  
execution of the experiment, as opposed to being made while the P<MNwdf(+  
experiment is in progress. jQi)pVT^  
4. Another assumption made above is that there are precise odds at f{ER]U  
which the expert is indifferent. <69Uq8GI  
5. Main simplifying assumptions are: /5r!Fhx  
6. This, in our view, is a questionable assumption. tY0C& u2  
Outline / Structure / Module rF)[ Sed:T  
1. An outline of the research Uv%?z0F<C  
2. Information is incorporated within the scheme |iGfWJ^+  
3. Is built into ... structure ;6/dFOZn  
4. A nice modular structure. +X4/l" |  
5. The principles of ... are applied as modularized criteria Ika(ip#]=  
Classification Qv/Kbw N{  
1. A xx system comprises three main components: ';Ew -u  
2. Must decompose the original .. into a set of .. THf*<|  
3. Consists of the following steps: 3%DDN\q\u  
4. This is summarized in the following steps: Hribk[99  
_S3qPPo3l]  
5. Can be broadly classified into the following areas: ;nZN}&m   
6. Can be characterized by its function of effectively processing the OM 4, Sevk  
7. Can allow further breadth of application of ...into more :y8wv|m  
8. The following steps should be followed w//L2.  
9. xx can be classified by a different ways. -$+`v<[r  
10. Based on the xx, one may classify xx into the following: 3lT>C'qq  
11. This catalog may change due to wear, breakage, and purchasing. 59Lmv &s  
System '/ v@q]!  
1. Unlike many conventional program, expert systems do not 1GI/gc\  
usually deal with problem for which there is clearly a right or wrong 1:VbbOu->V  
answer. kZJ.G  
2. The system consists of both ... and ... N;.}g*_+}  
3. The system has a hierarchical modular architecture organized on "*N=aHsj  
three levels. 9e>Dqlv  
4. expert system domains are area of expertise [(PD2GO+  
5. To develop a xx system for xx, the following factors must be wR*>9LjeG  
considered: ~T'Ri=  
6. The system has been developed / designed to determine 6|AD]/t^K  
7. The system has proven to be able to YN V4'  
8. The domain in which an expert system operates is a particular iw)^; 8q  
domain M PI=^rc2  
9. The system comprises a ... with Mpu8/i gX,  
10. The system is [feature-oriented ] / based on the ... technique \C eP.,<  
11. The system environment must be relatively stable xQK;3b  
12. The system is utilized to generate, load, store, update and D<:J6W7]  
retrieve ... 1Zj NRg=  
13. The development of a xx system has two stages: xx stage and xx H 6~6hg  
stage. ? j8S.d~  
14. The most essential part of .. system is the ... |A0)-sVZ  
15. The successful developments in ESs have made them an oR_qAb  
important tool in the development of cN(Toj '`  
16. An automated system was developed for H$o=kQN  
17. In this case, the system can be considered to be generative. U81--'@y  
&3t[p=  
18. An interactive automatic ... system Nt5`F@;B  
19. A …. is commonly thought of as a truly integrated .. system aF (L_  
20. Should be capable of being generated from a ... system zXRq) ;s  
21. xx is an important part of the integrated system. FC BsC#  
22. The model consists of four rule bases, each of which addresses a ]:X# w0UR  
separate problem in the hierarchy of scheduling decision. qV Df98  
23. The rule bases are linked to each other in a chin-like manner in ! O~:  
the sense that the consequent of one rule base constitutes a part of h]{V/  
the antecedent of the next rule base. k(bDj[0q^  
24. The rule base consists of all possible combinations of the v+b#8  
linguistic terms associated with the linguistic variable of the .nG14i7C  
antecedent of a rule. PDi]zp9>H  
Computer System q<Sb>M/\,  
1. The system has been implemented using Prolog language in an U-mZO7y!  
MS-DOS environment. Prolog was chosen because it offers a well Vhi4_~W3j]  
known and flexible environment in which fuzzy reasoning may be rT mVHt  
easily implemented. ^_rBEyz@  
2. The current version of the xx program when compiled with yPXa  
WATFOR77 results in an executable code of about 270K bytes. %UXmWXF4$  
Typical run time, when run on a XX computer (an IBM compatible gL(_!mcwu  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min , R;k>'.  
to 2h, depending on the size (or complexity) of the problem. | mp~d<&  
3. Time consuming procedures have been implemented in dWK"Tkf\  
C-language and directly linked to the Prolog environment. GVK c4HGt  
4. The xx process, once the xx's data has been entered, requires $c0<I59&|  
approximately 180 seconds. @ yj$  
5. It should be noted that the computation was done with a 20 Hhz, nd #owjB  
80386..209;based microcomputer equipped with a 80387 math L4t( Y7  
co-processor. vXLGdv::  
6. The computer programs used for the analyses, one based on the xx 6F8TiR&  
method and the other based on the new method, were written in `37%|e3bQ  
FORTRAN with a compiler that supports the math co-processor. 4o69t  
7. Lisp, Prolog give maximum flexibility but also maximizes #6F|}E  
yE_T#FN  
development time. 3'z L,WW  
l Internal representation is the way a model is represented in the 4L_AhX7  
computer. UpSa7F:Uw  
l An interactive menu-driven procedure is used in this study U)6Ew4uRxV  
l Shell can be develop very fast at the cost of time fairly severe $g&_7SJ@  
limitations. B".3NQ  
l While there is no measurable saving of time for the case involving +|6E~#zklY  
five criteria, the saving is dramatic for the case involving 10 criteria E|"QYsi.Ck  
-- the computation time reduces from 10 hr 40 min to about 1 min. AK//]   
l This combination is being implemented in an objected-oriented "BA&  
programming environment (Smalltalk-80 system) to solve problems Egi(z9|Pp  
encountered in construction xxx. 2= )V"lR\  
Method / Approach / Study / Process Model / Equation /Algorithm / eHc.#OA&  
Rule / Formula / Technique -#`tS  
l A discussion is presented of a problem-solving system L~!Lq4]V\g  
l To improve the efficiency of the method, the following approach 8E|FFHNK<2  
may be applied. ;%mdSaf  
l In order to an investigation was made to find the causes of the gg&Dej2{  
l Although large collections of rules and equations have been +HF*X~},i  
complied, none are generally accepted I|tn7|*-A[  
l This approach will be explained and discussed thoroughly in the 49Hgq/uO  
body of the report. e/Y& d9` I  
l This can be accomplished by GXwQ )P5]  
l This algorithm to compute the total cost can be described step by g>n1mK|  
step as follows: v%)=!T ,  
l The above preliminary analysis has provided important R_duPaWc@  
information uWkuw5;  
l Various methods have been proposed for selecting an optimum... 1Ba.'~:  
l These concepts have been applied to i|N(= Z =  
l On the basis of the concept mentioned above, Q32GI,M%B  
l This can be achieved by zvKypx  
l This fact suggests that a new concept x?2y^3<5  
l This was accomplished by taking ... ]64?S0p1c!  
WZf}1.Mh*  
l The preparatory stage is very time consuming process. \SA$:^zO  
l Test are performed for validity, completeness, and compatibility bX`VIFc  
l There is little hope of achieving successful ... 84y#L[  
l There has been an increasing awareness of the potential of using TN.&FDqC9  
most ..so far made have not taken this approach, with the exception fHacVj J  
of ILT.yxV  
l Only a few studies can be found. ^:]~6p#  
l It is a very tedious process to go through i]IZ0.?Y  
l It is only when .. has been completed that .. may be effected htHnQ4Q  
l The entire interpretation process is conducted in one's head. "uD^1'IW2  
l These approaches are sometimes very tedious. Q);^gV  
l Several techniques can be used h7[PU^m  
l A polynomial parametric model can be written as [the BCw0kq@  
following]/[follows]: y0cB@pWp  
l A xx model is constructed/formulated using xx. e]u3[ao  
l A xx model represents an xx by its xx. |d=MX>i|G  
l A process decision model captures the logic essential to #AUa'qB t  
l From the equation above, xx is equal to the summation of xx {9YNv<3  
times the ... @G0j/@v  
l The validity of a xx model can be checked using Euler's formula. .RxAYf|  
l Given a model, one can mathematically determine whether ... or ... \!,qXfTMB  
l Equations for xx need to be derived and implemented in the kV3Z t@+  
system. l} UOg   
l A number of heuristic rules have been developed for U#1 ,]a\  
l Optimum .. techniques can be made more reliable by ... so that Vq1v e;(8s  
l An algorithm based on the characteristic ... is used to determine pm }!?TL  
l Euler's formula states the following: ^PI8Bvs>j  
l The completed model should agree with the formula. rg{|/ ;imT  
l For manufacturing purposes, a detailed and precise model of the RE}$(T=  
object is necessary H}B%OFI\+  
l Engineering design models are very well defined; therefore, q/HwcX+[b  
l To keep the domain narrow enough to be implementable, yet wide 3erGTa[|q  
enough to Ff @Cs0R  
be useful. B M$+r(#t  
M;K%=l$NG  
Point of View 9 WhZ= Xk  
l from an implementation standpoint, G@Y!*ZH*f  
l From the point of view of this application, E/_I$<,_y  
l From this point of view, Zadeh suggested an inference rule named k(.6K[ b  
xxx (CRI for short). PhOtSml0  
l Information is the meaningful interpretation and correlation of 26Jb{o9Z<  
some aggregation of data in order to allow one to make decisions. zs~v6y@  
l From a practical point of view, the computational aspects of an WVfwt.Y  
FLC require a simplification of the fuzzy control algorithm. kKP<K+hH  
l The use of a hammer to insert screws, although partly effective, EFNi# D8s  
tends to distort, destroy, and generally defeat the purpose of using a oe{K0.`  
screw [Kusiak AI Implications for CIM p.129] U4*Q ;A#  
Justification O>H'o k  
l We choose the so called xx in our experiment because it has ckTk2x PQ  
received wide acceptance and can qu:nV"~_  
l Prolog was chosen because it offers a well known and flexible - .EH?{i  
environment in which fuzzy reasoning may be easily implemented. E'O[E=  
l The rationale behind this is that it can be much easier for an d1rIU6  
estimator to rate a cost as high than to attempt to place a dollar kZ>Xl- LV  
value on the estimate. L d;))e  
l This strategy has been widely used in fuzzy control applications ;mAlF>6]\  
since it is natural and easy to implement. _^5OoE"}!  
l A function definition expresses the membership function of a y Hk}'YP  
fuzzy set in a functional form, typically a bell-shaped function, etc. (L3Etan4RE  
Such functions are used in FLC because they lead themselves to AYP *J  
manipulation through the use of fuzzy arithmetic. L" GQ Q  
l It should be noted that in our daily life most of the information on (Iz$_(  
which our decisions are based is linguistic rather than numerical in Fb0r(vQ^  
nature. Seen in this perspective, fuzzy control rules provide a natural vk&6L%_~a  
framework for the characterization of human behavior and decisions ,&5\`  
analysis. [PW\l+i  
l Many experts have found that fuzzy control rules provide a ~ >"m`Q&[  
'C2X9/!,  
convenient way to express their domain knowledge. This explains 4Nun-(q  
why most FLCs are based on the knowledge and experience which 3Hd~mfO\  
are expressed in the language of fuzzy "if-the" rule. ls*bCe  
Chapter 4. Examples o<8('j   
Example/ Data =+z+`ot  
l The data used in the following example was taken from an :yi?<  
experiment in which xx was measured between x and x using a xx ^P}jn `4  
technique. Z)^1~!w0  
l The data consists of over xx measurements. 3HEm-pok  
l An example of xx is discussed and the control rules of xx are r&y0`M  
compared with a xx J{!U;r!6  
l Examples of complex processes to which this technique may be 6|G&d>G$_  
applied are xx, xx, etc. yCvP-?2  
l The following example is constructed only for the purpose of -Is;cbfLj/  
illustrating the computational procedure discussed. L}a-c(G+8  
l This example clearly demonstrates that the profile of an individual }NJKkj?  
xx, or a very small group of xx, with no enough data to be studied QJ,[K _  
statistically, can be meaningfully analyzed by fuzzy possibilistic YWFq&II|Z  
methods. VtN1 [}  
l There is no space here to go into detail on all these methods, but { )-8P  
deserve a mention and the bibliography will point to detailed (hJ&`Tt  
references for those wishing this level of detail. J6I:UML  
l Note that the golf ball spotting example is used throughout the l@)`Q  
paper. vR3\E"Zi  
Comparisons IE|? &O  
l As well, the pros and cons of these representations from a process " vka7r  
planning point of view will be discussed. `FG Yc  
l The method of using xx to implement xx described by Zadeh vh#81}@N7*  
(1973) appeared more suitable Vak\N)=u  
l As discussed [in the previous section]/[preciously], hYht8?6}m  
^6On^k[|fw  
Relation @ C|nc&E2s  
l We can not invert F' directly because it defines a many-to-one z"97AXu  
mapping. vSu dT  
l The relationships appear very complicate #CV]S4/^  
l Lifting tasks involve complex and imprecise relationship between iInWw"VbKe  
the task variables and the human operator's characteristics. Bd]k]v+  
l These methods are based on the relationship between ... and ... i\,I)S%yJ  
l The fundamental concept of a fuzzy rating language is that we can b'W.l1]<-  
establish a relationship among terms such as high, medium, and low, : eCeJ~&E  
and then modify these relationships. o "6 2~   
l This article will thus mention the latter as well as the former. -.Blj<2ah  
l The former two bear a close relation to a fuzzy Cartesian product. mqj-/DN6*  
Importance q;}iW:r&Q  
l The emphasis is on an implementation of a general approach to Gl@{y (  
rule based decision making. a%A!Dz S  
Consideration / Attention EV?U !O  
l Careful evaluation is necessary to ensure R G*Vdom  
l Such a formulation does not change further considerations. 9QaE)wt  
l Considerable attention has been paid to Z\$M)e8n  
l Attention should be paid to an important finding of this QgI[# d{  
investigation. |his8\C+x  
l Caution should be exercised in this process to avoid ... 0-uw3U<  
l Primary consideration is given to ... components, though others x_ /}R3d  
can be accommodated XC5/$3'M&  
l After ... has been defined by ..., a carefully analysis is carried mU]VFPr5  
out/performed to determine \ )=WA!  
l A number of factors such as ...need to be taken into consideration %@Z;;5L  
before making the appropriate decision. b8e\(Dww  
l It should be noted that g@37t @I  
l It is important to point out that ... 'f!U[Qatg  
l These considerations have heightened interest in the possibility of Z2gWa~dBC  
providing ... <)p.GAZ  
+ID\u <?  
l We should stress the fundamental importance of the xx }b1FB<e]  
Chapter 5. Results. J09jBQ] R  
Advantages / Disadvantage ~\mh\a&  
l One of the major advantages of this new measure of xx is that it .G8>UXX  
can be applied to the experimental study of #n'.a1R  
l One advantage of using a .. is the ease of preparing it. `Bw] PO  
l The xx system is versatile >;^/B R=  
l It has a very fast decision making process ~g\~x  
l All the algorithms involve mostly logical operations. 7IkPi?&{  
l It can be easily and without additional cost implemented in a J7* o%W*V  
microprocessor-based environment. MzD1sWmK  
l It can reduce the waste of designing from scratch. ?id) 2V0s  
l The advantages of using a xx to represent xx are the following: 1>OlBp  
l However, xx is not without its shortcomings. lcie6'<  
l In most cases, the xxx shows an improvement over the existing KGYbPty}  
xxx. hhze5_$_  
l Compared to the existing xx, the impacts of the xx are generally 4AS%^&ah  
reduced by 5% to 9%. tL$,]I$1+  
l The "best case" results shows a savings of 6% to 9%. "esuLQC  
l Most of the existing works based on xx approach can only '9z W#b  
recognize a xx . ryVYY> *(K  
l Most of the above methods are computational expansive and nwU],{(Hgr  
limited to xx. KClkPL!jP  
l Some other advantages of xx are the following: sfyLG3$/  
l The problem is the limitation of this method to a limited domain of +6#$6hG  
parts. ) 2Ei <  
l It proved limited in application because it demanded precision in @."K"i'Bl  
system modeling that was impossible in practice. "[N2qJ}p  
l There are advantages to be gained in the structuring of costs and -G.N   
benefits, the use of xx, G*I    
l The disadvantages of this method are also disadvantages of ,`}y J*7  
conventional xx approaches. '#7k9\  
itYoR-XJ  
l This combines the best features of both techniques /oT~CB..  
l Hopefully, this tool can be as the reference framework of for H~Uf2A)C  
developing a xx platform, and helping the administration, marketing, w a_{\v=  
and knowledge management activities in virtual communities. |*NLWN.ja)  
Results O2Qmz=%  
l An improvement on the result shown above can be made by based [P &B  
on the data provided dPEDsG0$a  
l Discussion of these theories is beyond the scope of this review ESCN/ocV  
l Based on the information contained in this  ;j26(dH  
l The result can be categorized into nine classes 3gUY13C}:p  
l The results are illustrated by an example ^*}D*=>\  
l The experimental results for each xx time are reported in Table 2. G<?RH"RZr  
l From the results obtained so far, it seem that \6wltTW]#  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn nLm'a_  
as a fa\6]m  
l Although much effort has been made to., this reality is far from @@D/&}#F  
completion. tx5bmF;b)  
l The results indicate that the total benefits are higher than the g=\(%zfsxr  
total costs. Q#%LIkeq  
l Their results may then serve as guidelines for lower level models, mfj{_fR3  
less fuzzy and more detailed. 8'Q+%{?1t  
Chapter 6. Conclusion vFe=AY<Rt|  
l From the discussion, one may conclude that ... Yb5U^OjyJ  
l Form the above discussion, the conclusion can be reached that x<l 5wh  
l The conclusions drawn are also valid z -?\b^  
l In conclusion to this, it becomes obvious that the problem of xx $*{,Z<|2  
lies not only in... fQ9af)d  
l We have attempted to introduce some concepts associated with a xQZOGq   
theory of q?j7bp ]  
xx based on fuzzy sets. RhJ3>DL  
l Considerable more work, hopefully, will be done in this area W>' DQB  
l A fuzzy set procedure is proposed to solve xx selection problems cUug}/!I  
d[h=<?E5  
interwoven with imprecise data SVa^:\"$[  
l Employing the compositional rule of inference, the assessment of EZWWv L  
the xx compatibility in achieving prescribed xx projectiles in any J)g +I  
level of the hierarchy is made possible. e[fld,s  
l This paper has presented a theoretical and experimental study of htYfIy{5w  
the xx process and xx concept. _&HFKpHQ  
l The experimental research results will hopefully serve as useful @w33u^  
feedback information for improvements for xx work. <1vogUDW  
l The scope of this contribution was to introduce a xx method. R UCUEo63  
l In general, fuzzy sets theory provides an alternative foundation VKPsg  
for xx analysis in a fuzzy environment. *vNAm(\N  
Future Research k Jz^\ Re  
l Thus, first extension of the approach could be, ^d>m`*px  
l Present some cues for a further approach from Fuzzy Sets Theory qW3XA$g|j'  
application to E.C=VfBW  
l Some improvements to the scheduling aspect of the model may "'+/ax[{  
be brought through additional levels in the hierarchy for more {%2p(5FB  
detailed representation of the scheduling activity. JiqhCt\  
Tables and Figures DFwiBB6  
l Figure 7-1 sketches these relationships. C^?/9\  
l The graphical representation of these functions is shown in Figure l(MjLXw5  
1. D!,'}G #  
l The xx may be depicted as in Figure 1. (;Bh 7Ft  
l Figure x shows the schematic diagram of the 0 Swu]OE  
l Figure 1 though 2 provide a ... that G~zfPBN0D  
l the architecture of this expert system for .... is illustrated in Figure U*EBH  
2. xJ^B.;>  
l Figure 2 gives the outline of an ... system ;Gu(Yoa}y  
l Table shows the n1x3q/~  
l as shown in Table 1 and 2 OHY|< &*  
l This concept is illustrated in Figure 2 6R2F,b(_  
l At the top of Table xx are shown two blocks of data. (\'lV8} U  
A'uubFRL2[  
l Each table or matrix has constructs xx through xx as %U[H`E  
row-headings, Zirp_[KZ%  
xx through xx as column-headings. 5rtE/ {A  
l A table of .. is developed and significant recommendations are =OrVaZ0  
made. Bi/E{k,  
CONJUGATION )*}?EI4.  
To Indicate Addition yJw.z#bB#  
l additionally, again, also, and then, as can be easily understood, #|V)>")  
besides, equally important, especially, finally, for the same reason, t , EMyZ  
first, further, furthermore, in addition, last, likewise, moreover, next, 'v(b^x<ZS  
second, third, too, evidently, obviously, roughly speaking, broadly A0ZU #"'/  
speaking &j"_hFhv  
To Indicate Cause and Effect =Q# (2  
l accordingly, as a result, consequently, for this reason, hence, in Lq#!}QcW=  
short, otherwise, then, therefore, thus, truly LCSJIt  
To indicate Comparison b-#oE{(\'  
l in a like manner, likewise, similarly , alternatively =+VDb5= TV  
To Indicate Concession ziQ&M\  
l after all, although this may be true, at the same time, even though, #8WHIDS>  
even so , I admit, naturally, of course QNZ#SG8  
To Indicate Contrast VTO92Eo  
l and yet, at the same time, but, for all that, however, yet, in fact, in \h}sA  
contrast, in the real life, in spite of, nevertheless, notwithstanding, }'p*C$  
normally, on the contrary, on the other hand, still, traditionally, 0Y!~xyg/  
rather, unfortunately, ( _MY; S  
To Indicate Time Relationships: F_iZ|B  
after a short time, afterwards, as indicated earlier, as long as, as soon _]< Tv3]RK  
F~GIfJU  
as, at last, at length, at the moment, at that time, at the same time, a!&<jM  
before, earlier, currently, immediately, in the meantime, in recent &!>.)I`  
years, lately, later, meanwhile, often, of late, presently, recently, =>e> r~cW  
soon, shortly, since, thereupon, temporarily, therefore, until, when, }?6gj%$c  
while e=ry_@7  
To Indicate Special Features or Examples: |-]'~ @~  
for example, for instance, incidentally, indeed, in fact, in other words, @ n$/2y_.  
in particular, in practice, specifically, that is, to illustrate, in this }gQnr;lv  
respect, theoretically, as mentioned before / above ,/eAns`ZU  
To Indicate Summary: Cv< s|  
in brief, in conclusion, in short, in summary, on the whole, to K{iC'^wP  
conclude K*tomy  
, in general, to summarize, to sum up, as a result, ultimately, p%+'iDb  
VERB PHASE }4q1"iMlO  
l build a .. model B*}:YV  
l build up the key link ]&"01M~+K  
l began a new era in ... Yo}QW;,g  
l can be regarded as / achieved / used to/for / found / obtained I$ ?.9&.&  
through XJA];9^  
l can result in 55zy]|F"  
l carries out ... tasks Ime"}*9  
l production information in order to simultaneously L1QDA}6?_Y  
l contains all information necessary to describe {Lsl2@22  
l do not make use of production information E_#?;l>  
l deals with ;esOe\z jE  
l end with failure 2I_~] X53[  
l fetch the information from the model directly }`+9ie7]/  
l has great potential / yet to be resolved / spurred the 5p~hUP]tT  
development of / 5i=C?W`'  
been recognized as [6\b(kS+  
l BE aimed at / built up / carried out by / essentially concerned e. R9:  
CsN^u H  
with / considered to be the key technology / associated with each f8)fm2^09  
feature of a compo eaDG7+iS  
site component / cable of / currently implemented for / sA oxLI  
demonstrated by an example / finally reached / made equal to / v4, Dt  
equivalent to / more suitable to / oriented to / interpreted as / A}(o1wuw  
pointed out / potentially of great benefit in the complex task of / JgBC:t^\pV  
shown in / used to effectively guide the search ?$VkMu$2k  
l makes use of #g<6ISuf  
l make up e s<   
l meets the needs of real life production,/ the current demands ZWQ/BgKB  
placed upon it U+&Eps&NI  
l must be justified t$rla _rbY  
l point out 6i@* L\ Dl  
l play an important role ~nApRC)0  
l relates to w[AL'1s]  
l rely on PJ^qE| X  
l satisfy the needs "Cs36k  
l determine the total requirements for the ... B lqISyrY  
l uses ... as a key to search for... /O~Np|~v  
l without relying on me- uPm  
l will be available/ performed/ overlooked L+}<gQJ(  
NOUN PHASE /*MioaQB}p  
l a basic technical function of M~~)tJYsu  
l a critical need 2OQ\ z;s  
l a key / principle feature of {(I":rt#  
l a substantial impact on Z58{YCY  
l an intensive review was conducted cQm4q19  
l an increasing need for expanding the application of .... Y=5P=wE  
l an important component / function / aspect / issue F< XOt3VY.  
l each rule is numbered in sequence M=3gV?N  
l each of these involves "lSh 4X  
l for this calculation, it is necessary to define na"!"C s3  
l in the physical environment / integration of 7Gy:T47T\@  
jcb&h@T8kv  
l in the reality of situations where … fH$#vRcq  
l many aspects of -:E~Z_J`  
l most past efforts have been spent on ... eze%RjO}  
l common sense to a well studied and documented technical field. eW;3koE  
l sources of additional information on ... are listed ambr}+}  
l systematic and rationally structured format "%p7ft  
l the basis on which a range of ...operations can be established is 5 7-Hx;  
shown iaLZ|\`3a  
l THE basic philosophy / principles of / key element / general @bJIN]R  
hypothesis / candidate list of / concept of ... has attracted wide : ^("L,AF  
interest / function is concerned with / heart / impact / nature / role gn&Zt}@[  
/ task of / kernel functions E&eY79  
l the number of parts needed to .6xMLo,R  
l the above statement means that Qd{8.lB~LQ  
l the output data is passed to EO~L.E%W  
l the proposed method / underlying principle -%@ah:iJ  
l the recommendations made in this report, if implemented, should {ywwJ  
l this information resides in cR_pC 9z  
l this process is composed of ... different ... operation &K{8- t  
l along with the use of rQyjNh  
l concerning general aspects of DA.k8M  
l due to N2"B\  
l for later use in generating..., v"W*@7<`S  
l in turn, YO$D-  
l IT IS believed / noted / assumed / suggested / shown / quite yCvtglAJ4  
evident / appears / implies that / intended for / of no important to b5LToy:  
l it can be claimed/concluded that $`55 E(  
l it demonstrates the decisions required of { ]_j)R  
l it also provides information to .. 6Eu(C]nC(  
l it becomes essential to b%%r`j,'JE  
l let ... be the probability that #$x ,PeG  
l once... is written, it is compiled into... o3/o2[s  
l suppose it is observed that BEvY&3%l  
l this is because LwK]fFtu  
<Q\KS  
l this results in a R`Z"ey@C  
l upon completion of the ... analysis, Y=O+d\_W  
l when the knowledge is of mathematics or quantum physics, it will 9<.O=-1~  
also be wW1VOj=6V"  
recorded in books and papers uC^ )#Y\"  
l selection of rules for using the tools, for generating operation uR5+")r@S  
plans, ]690ey$E:j  
is another matter of preference, since practice varies greatly. _ZK^J S  
l for the sake of convenience m0TVi]v  
l correct decision to be reach _d5:Y  
l keeping the number of rules to a minimum. ,<t.Iz%  
l a good process plan will result exhibiting several characteristics: tfGs| x  
l practical solutions WJh TU@'  
l because of rather small job lot sizes CF{b Yf^%  
l Backward reasoning can be used to answer the question "should $qQYxx@  
milling tool be select" different level of knowledge in the realm of M/=36{,w-  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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