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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 E7/UsUV.  
C`[2B0  
TNqL ')f  
Beginning [Ix6ArY  
1. In this paper, we focus on the need for M _< |n  
2. This paper proceeds as follow. J.XkdGQ  
3. The structure of the paper is as follows. !QwB8yK@  
4. In this paper, we shall first briefly introduce fuzzy sets and related u W,J5!  
concepts vxPE=!|  
5. To begin with we will provide a brief background on the Vwp>:'Pu  
Introduction #9TL5-1y  
1. This will be followed by a description of the fuzzy nature of the ;U4O` pZ  
problem and a detailed presentation of how the required X[?fU&  
membership functions are defined. _qPKdGoM  
2. Details on xx and xx are discussed in later sections. 1;~s NSTo  
3. In the next section, after a statement of the basic problem, various <7`k[~)VB  
situations involving possibility knowledge are investigated: first, an m&=Dy5  
entirely possibility model is proposed; then the cases of a fuzzy OiA uL:D  
service time with stochastic arrivals and non-fuzzy service rule is ,K}"o~z  
studied; lastly, fuzzy service rule are considered. O8#]7\)  
Review 3_wR2AU~  
1. This review is followed by an introduction. SVVEb6&  
2. A brief summary of some of the relevant concepts in xxx and xxx is G!VEV3zT  
presented in Section 2. #Db^*  
3. In the next section, a brief review of the .... is given. m#WXZr  
4. In the next section, a short review of ... is given with special regard 9 D.wW  
to ... 1ik.|T<f0  
5. Section 2 reviews relevant research related to xx. jl}9R]Y_2  
6. Section 1.1 briefly surveys the motivation for a methodology of  lPz`?Hn  
action, while 1.2 looks at the difficulties posed by the complexity of O6$,J1 2l  
systems and outlines the need for development of possibility el$@^Wy&$  
methods. =g6~2p=H  
Body b&E"r*i|  
1. Section 1 defines the notion of robustness, and argues for its sE]z.Po=  
mW)kWuOO  
importance. B7qi|Fw  
2. Section 1 devoted to the basic aspects of the FLC decision-making ~b *|V  
logic. XjzGtZ#6  
3. Section 2 gives the background of the problem which includes xxx }Uj-R3]}K  
4. Section 2 discusses some problems with and approaches to, a"4X7 D+  
natural language understanding. 30w(uF  
5. Section 2 explains how flexibility which often ... can be expressed oJ5n*[qUI  
in terms of fuzzy time-window {7X9P<<L7  
6. Section 3 discusses the aspects of fuzzy set theory that are used in "<egm^Yq  
the ... u*\QVOF  
7. Section 3 describes the system itself in a general way, including vfT @;`  
the ….. and also discusses how to evaluate system performance. ^Q0=Ggh  
8. Section 3 describes a new measure of xx. ;x_T*} CH  
9. Section 3 demonstrates the use of fuzzy possibility theory in the p;zT #%  
analysis of xx. g]MgT-C|  
10. Section 3 is a fine description of fuzzy formulation of human @QpL*F  
decision. Iza#v0  
11. Section 3 is developed to the modeling and processing of fuzzy ;)f,A)(Z  
decision rules o@$py U8  
12. The main idea of the FLC is described in Section 3 while Section 4 aY, '^S  
describes the xx strategies. R SWw4}  
13. Section 3 and 4 show experimental studies for verifying the @Z ""|H"0  
proposed model. `} 'o2oZnG  
14. Section 4 discusses a previous fuzzy set-based approach to cost nYC S %\"  
variance investigation. ^5!"[RB\  
15. Section 4 gives a specific example of xxx. +4IaX1.  
16. Section 4 is the experimental study to make a fuzzy model of /sB,)> X  
memory process. 5@bm m]  
17. Section 4 contains a discussion of the implication of the results of `ST;";7!  
Section 2 and 3. @[$q1Nm  
18. Section 4 applies this fuzzy measure to the analysis of xx and ^D {v L  
illustrate its use on experimental data. ^!(tc=sr  
19. Section 5 presents the primary results of the paper: a fuzzy set .'1]2/ad  
model .. n5#9o},oK  
do< N+iK  
20. Section 5 contains some conclusions plus some ideas for further UPuG&A#VV  
work. _(@ezX.p  
21. Section 6 illustrates the model with an example. `g}en%5b\  
22. Various ways of justification and the reasons for their choice are @A%\;o o  
discussed very briefly in Section 2. 3SF J8  
23. In Section 2 are presented the block diagram expression of a 3=lQZi<]%  
whole model p!LaR.8]  
of human DM system _cc9+o  
24. In Section 2 we shall list a collection of basic assumptions which ALR`z~1  
a ... scheme must satisfy. _ba.oIc  
25. In Section 2 of this paper, we present representation and v kW2&  
uniqueness theorems for the fundamental measurement of fuzziness n#5pd;!n  
when the domain of discourse is order-dense. 2C &l\16  
26. In Section 3, we describe the preliminary results of an empirical K./L'Me  
study ^;mGOjS  
currently in progress to verify the measurement model and to q9m-d-!)  
construct membership functions. u6p nO  
27. In Section 5 is analyzed the inference process through the two 1d~cR  
kinds of inference experiments... l$!g# ?w  
This Section nc>Ae`"(  
1. In this section, the characteristics and environment under which kD4J{\  
MRP is designed are described. [YQ` `  
2. We will provide in this section basic terminologies and notations -*"Q-GO  
which are necessary for the understanding of subsequent results. PqwoZo0j  
Next Section ~]lVixr9  
2. The next section describes the mathematics that goes into the E\=23[0  
computer implementation of such fuzzy logic statements. { BDUl3T  
3. However, it is cumbersome for this purpose and in practical Z<Ke /Xi  
applications the formulae were rearranged and simplified as MF~Tr0tOC  
discussed in the next section. wWUt44:0O  
4. The three components will be described in the next two section, !T8h+3 I  
and an example of xx analysis of a computer information system will j.y 8H  
C{Er%  
then illustrate their use. g_t1(g*s  
5. We can interpret the results of Experiments I and II as in the x*z$4)RP  
following sections. Sg}]5Mn`  
6. The next section summarizes the method in a from that is useful i\u m;\  
for arguments based on xx k'$UA$2d  
Summary 9zK5Y+!  
1. This paper concludes with a discussion of future research X` FFI6pb  
consideration in section 5. J+6bp0RIh  
2. Section 5 summarizes the results of this investigation. jZvQMW  
3. Section 5 gives the conclusions and future directions of research. P~" `Og+  
4. Section 7 provides a summary and a discussion of some extensions ~%o?J"y  
of the paper. c|^#v8x^/  
5. Finally, conclusions and future work are summarized n9Xssl0  
6. The basic questions posed above are then discussed and F( Iq8DV  
conclusions are drawn. nXuoRZ  
7. Section 7 is the conclusion of the paper. O*7Gl G  
Chapter 0. Abstract zS##YR  
1. A basic problem in the design of xx is presented by the choice of a g0BJj=  
xx rate for the measurement of experimental variables. }6V` U9 ^g  
2. This paper examines a new measure of xx in xx based on fuzzy aD,(mw-7r  
mathematics which overcomes the difficulties found in other xx pK~K>8\  
measures. <U ?_-0  
3. This paper describes a system for the analysis of the xx. H,!3s<1  
4. The method involves the construction of xx from fuzzy relations. 5-ju5z?=  
5. The procedure is useful in analyzing how groups reach a decision. .v3~2r*&  
6. The technique used is to employ a newly developed and versatile okO^ /"  
xx algorithm. loLN ~6  
7. The usefulness of xx is also considered. noBGP/Av=:  
8. A brief methodology used in xx is discussed. z5G$'  
9. The analysis is useful in xx and xx problem. q! +?  
10. A model is developed for a xx analysis using fuzzy matrices. +h$) l/>:  
11. Algorithms to combine these estimates and produce a xx are 2Rp5 E^s  
d|9B3I*I  
presented and justified. EfR3$sp  
12. The use of the method is discussed and an example is given. ;@$B{/Q  
13. Results of an experimental applications of this xx analysis il \q{Y o  
procedure are given to illustrate the proposed technique. "@JSF  
14. This paper analyses problems in #O< 2wMb2<  
15. This paper outlines the functions carried out by ... qe!\ oh  
16. This paper includes an illustration of the ... ,h'q}5  
17. This paper provides an overview and information useful for V(%L}0[]  
approaching "YUyM5X  
18. Emphasis is placed on the construction of a criterion function by HrUQ X4  
which the xx in achieving a hierarchical system of objectives are S0_#h)  
evaluated. 8\BCC1K  
19. The main emphasis is placed on the problem of xx '[ZRWwhr  
20. Our proposed model is verified through experimental study. btC 0w^5  
21. The experimental results reveal interesting examples of fuzzy R0R Xw  
phases of: xx, xx GT[,[l  
22. The compatibility of a project in terms of cost, and xx are likewise ,7m R b-*p  
represented by linguistic variables. &^C <J  
23. A didactic example is included to illustrate the computational OIK14D:  
procedure k\T,CZ<  
Chapter 1. Introduction 'sCj\N  
Time u.wm;e K[  
1. Over the course of the past 30 years, .. has emerged form intuitive a}Db9=  
2. Technological revolutions have recently hit the industrial world %ec9`0^4S  
3. The advent of ... systems for has had a significant impact on the S~QL x  
4. The development of ... is explored }s_'q~R  
5. During the past decade, the theory of fuzzy sets has developed in a S4j`=<T,  
variety of directions 3@ a  
6.The concept of xx was investigated quite intensively in recent years WxE4r  
7. There has been a turning point in ... methodology in accordance @(Mg>.P  
with the advent of ... r7z8ICX'q  
8. A major concern in ... today is to continue to improve... lP>}9^7I!  
9. A xx is a latecomer in the part representation arena. C3 n_'O  
^`Tns6u>  
10. At the time of this writing, there is still no standard way of xx )$#]h]ac  
11. Although a lot of effort is being spent on improving these Ih*}1D)7  
weaknesses, the efficient and effective method has yet to be |=C&JA  
developed. 4Gl0h'!(  
12. The pioneer work can be traced to xx [1965]. j rX .e  
13. To date, none of the methods developed is perfect and all are far sd;J(<Ofh  
from ready to be used in commercial systems. Ys@M1o  
Objective / Goal / Purpose `T H0*:aI  
1. The purpose of the inference engine can be outlined as follows: S^,1N 4  
2. The ultimate goal of the xx system is to allow the non-experts to j9zK=eG  
utilize the existing knowledge in the area of manual handling of loads, p`// *gl  
and to provide intelligent, computer-aided instruction for xxx. ;[*jLi,uc  
3. The paper concerns the development of a xx }]1=?:tX%  
4. The scope of this research lies in B3V:?#  
5. The main theme of the paper is the application of rule-based ]I 9Hbw  
decision making. 6iwIEb  
6. These objectives are to be met with such thoroughness and 6Q<^,`/T  
confidence as to permit ... dmHpF\P5f  
7. The objectives of the ... operations study are as follows: 4q"x|}a  
8. The primary purpose/consideration/objective of N zY}-:{  
9. The ultimate goal of this concept is to provide & 61;v@  
10. The main objective of such a ... system is to Ue:'55  
11. The aim of this paper is to provide methods to construct such K!/"&RjW.  
probability distribution. oQgd]| v  
12. In order to achieve these objectives, an xx must meet the Sa!r ,l  
following requirements: pk jf5DWp  
13. In order to take advantage of their similarity `UFRv   
14. more research is still required before final goal of ... can be 3$Ew55  
completed -TKS`,#  
15. In this trial, the objective is to generate... IYm~pXg^0  
16. for the sake of concentrating on ... research issues k0IW,z%  
17. A major goal of this report is to extend the utilization of a recently #3@ Du(_n  
developed procedure for the xx. a hi lp$v  
jEj#|w  
18. For an illustrative purpose, four well-known OR problems are {9sA'5  
studied in presence of fuzzy data: xx. `oP<mLxle  
19. A major thrust of the paper is to discuss approaches and  Ad)Po  
strategies for structuring ..methods m,nZrap  
20. This illustration points out the need to specify |cpBoU  
21. The ultimate goal is both descriptive and prescriptive. VuqN)CE^Uq  
22. Chapter 2. Literature Review >$,A [|R  
23. A wealth of information is to be found in the statistics literature, `YTagUq7  
for example, regarding xx y+f@8]  
24. A considerable amount of research has been done .. during the 8Xpf|? .  
last decade 44 bTx y  
25. A great number of studies report on the treatment of OjxaA[$  
uncertainties associated with xx. sg"J00  
26. There is considerable amount of literature on planning }ge~Nu>w  
27. However, these studies do not provide much attention to WAPN,WuW  
uncertainty in xx. (_G&S~@.  
28. Since then, the subject has been extensively explored and it is K#bdb  
still under investigation as well in methodological aspects as in }gL:"C"~  
concrete applications. bJc<FL<E  
29. Many research studies have been carried out on this topic. WP,Ll\K)7  
30. Problem of xx draws recently more and more attention of system 4\'1j|nS[  
analysis. PW( 4-H  
31. Attempts to resolve this dilemma have resulted in the E$5)]<p! <  
development of A4RA5N/}  
32. Many complex processes unfortunately, do not yield to this Kx.'^y  
design procedure and have, therefore, not yet been automated.  pME17 af  
33. Most of the methods developed so far are deterministic and /or :^7P. lhK  
probabilistic in nature. %lVc7L2]  
34. The central issue in all these studies is to O~t]:p9_  
35. The problem of xx has been studied by other investigators, Rh!B4oB4  
however, these studies have been based upon classical statistical *a_U2}N  
approaches. ]IbX<  
36. Applied ... techniques to 3WdYDv]N}L  
37. Characterized the ... system as +<5q8{]Pk  
"`P/j+-rt  
38. Developed an algorithm to @tQu3Rq@  
39. Developed a system called ... which NQQ+l0txI  
40. Uses an iterative algorithm to deduce 9Q{-4yF9k  
41. Emphasized the need to p=F!)TnJN  
42. Identifies six key issues surrounding high technology (Fc\*Vn  
43. A comprehensive study of the... has been undertaken \Fd6Q_  
44. Much work has been reported recently in these filed !cP2,l 'f  
45. Proposed/Presented/State that/Described/Illustrated/ rG7E[kii  
Indicated/Has shown / showed/Address/Highlights p,_,o3@~  
46. Point out that the problem of vW`Dy8`06  
47. A study on ...was done / developed by [] ,;3#}OGg  
48. Previous work, such as [] and [], deal only with S0,q@LV  
49. The approach taken by [] is K%NNw7\A  
50. The system developed by [] consists 1'.SHY|  
51. A paper relevant to this research was published by [] U^qQ((ek  
52. []'s model requires consideration of... r\#_b4-v3h  
53. []' model draws attention to evolution in human development OIi8x? .~]  
54. []'s model focuses on... [bE-Uu7q5P  
55. Little research has been conducted in applying ... to =;9 %Q{  
56. The published information that is relevant to this research... E?\&OeAkO  
57. This study further shows that t:MeSO  
58. Their work is based on the principle of 4:umD*d 3E  
59. More history of ... can be found in xx et al. [1979]. 0tA ~Y26  
60. Studies have been completed to established d|I_SI 1  
61. The ...studies indicated that O} #Ic$38  
62. Though application of xx in the filed of xx has proliferated in /l.:GH36f  
recent years, effort in analyzing xx, especially xx, is lacking. DIs K+1  
Problem / Issue / Question =sm<B^yj  
63. Unfortunately, real-world engineering problems such as *R'r=C`  
manufacturing planning do not fit well with this narrowly defined ? <F=*eS  
model. They tend to span broad activities and require consideration w\V1pu^6@  
of multiple aspects. T]er_n  
64. Remedy / solve / alleviate these problems ni2GZ<1j  
67. ... is a difficult problem, yet to be adequately resolved 'iY~F0U  
vl`Qz"Xy  
68. Two major problems have yet to be addressed /D d.C<F  
69. An unanswered question !+UU[uM  
70. This problem in essence involves using x to obtain a solution. }l>\D~:M  
71. An additional research issue to be tackled is .... ='W=  
72. Some important issues in developing a ... system are discussed LoUHStt  
73. The three prime issues can be summarized: |~K  5]  
74. The situation leads to the problem of how to determine the ... x5w5xw  
75. There have been many attempts to 2Kkm-#p7  
76. It is expected to be serious barrier to GyC/39<P  
77. It offers a simple solution in a limited domain for a complex Wtwo1pp  
problem. 8A jQPDn+  
1. There are several ways to get around this problem. AX%N:)_$|  
2. As difficult as it seems to be, xx is by no means new. { 4 n  
3. The problem is to recognize xx from a design representation. *5QN:  
4. A xx problem can trace its roots to xx. FNN7[ku!  
5. xx [1987] used a heuristic approach to simplify the complexity of > `1K0?_  
the problem. <~ Dq8If  
6. Several problems are associated with them. U#iGR5&^3  
7. Although some progress has been made in this area, at least two I[6ft_*  
major obstacles must be overcome before a fully automated system 3jqV/w[-  
can be realized. e**<et.  
8. Most problems in practice are complicated \N%L-%^  
9. More problem surface here. aMJW__,  
10. Hamper effort toward a xx system XtZeT~/7RT  
11. In order to overcome the limitations due to incomplete and Yu}[RXC(=  
imprecise xx knowledge, a xx program has been developed, which j].=,M<dxE  
bases its knowledge upon the statistical analysis of a sample [t6Y,yo&h4  
population of xx [Ot<8)Jm  
12. The above difficulties are real challenges faced by researchers ` t>A~.f  
attempting to develop zNO,vR[\  
13. This type of mapping raises no controversy to the issue of +h)1NX;o1  
membership function determination. y]okOEV0  
14. However, attempts to quantify the xx have met both theoretical 1 )H;}%[  
and empirical problems. xV0:K=  
h+!@`c>)Y  
15. It has become apparent that in order to apply this new B/_~j_n$m  
methodological framework to real-world problems and data, we have 35H.ZXQp-  
to pay attention to the problems of xx and xx. RhWW61!"  
Chapter 3. Proposed methodology nh]HEG0CZJ  
Assumption &X6hOc:``\  
1. In the case when the assumption of a xx seems to be too ydTd.`  
restrictive or inadequate, the formulation with Fuzzy termination $!vK#8-&{  
time, i.e. given by a fuzzy set in the space of control stages, may be 6VtN4c .Q  
applied. ^&lkh@Y1q  
2. We assume here the fuzzy constraints to be state-dependent, and 3>6rO4,  
the fuzzy goal to be the same for all the control states, xx, which k#n%at.g  
stems from the problem's nature. I_Omv{&u  
3. An approach to the solution of this problem is presented under the [NK&s:wMk  
assumption that the sampling rate Decision can be made prior to the Db*&'32W  
execution of the experiment, as opposed to being made while the X>i{288M3  
experiment is in progress. A[`2Mnj  
4. Another assumption made above is that there are precise odds at & h\!#X0  
which the expert is indifferent. K 8W99:v  
5. Main simplifying assumptions are: *LEI@  
6. This, in our view, is a questionable assumption. TSH'OW !b  
Outline / Structure / Module */OKg;IMi  
1. An outline of the research WIN3*z7oW  
2. Information is incorporated within the scheme h!7Lvh`o  
3. Is built into ... structure BdP+>Ij  
4. A nice modular structure. nE56A#,Q,  
5. The principles of ... are applied as modularized criteria 4+Jf!ovS=  
Classification V0G[f}tm'  
1. A xx system comprises three main components: Y(Y#H$w  
2. Must decompose the original .. into a set of .. |_hIl(6F5N  
3. Consists of the following steps: <b?$-Rx  
4. This is summarized in the following steps: =imJ0V~RW  
* ).Y U[i  
5. Can be broadly classified into the following areas: J$d']%Dwb  
6. Can be characterized by its function of effectively processing the 4Ik'beZqK  
7. Can allow further breadth of application of ...into more pwRCfR)"X  
8. The following steps should be followed o?^Rw*u0/  
9. xx can be classified by a different ways. fRHzY?n9;  
10. Based on the xx, one may classify xx into the following: SX&Q5:  
11. This catalog may change due to wear, breakage, and purchasing. J06 D_'{  
System TiR00#b  
1. Unlike many conventional program, expert systems do not OlgM7Vrl  
usually deal with problem for which there is clearly a right or wrong ^v+p@k  
answer. r5y*SoD!  
2. The system consists of both ... and ... 5?0~7^de  
3. The system has a hierarchical modular architecture organized on {q^UWv?1  
three levels. _M^^0kf  
4. expert system domains are area of expertise \uO^w J}  
5. To develop a xx system for xx, the following factors must be h^,av^lg^  
considered: *m2?fP\  
6. The system has been developed / designed to determine |7Qe {  
7. The system has proven to be able to c7.M\f P  
8. The domain in which an expert system operates is a particular < FY%QB)h  
domain XM#nb$gl  
9. The system comprises a ... with FN w]DJ]  
10. The system is [feature-oriented ] / based on the ... technique yF1p^>*ak&  
11. The system environment must be relatively stable z`p9vlS[  
12. The system is utilized to generate, load, store, update and q,> C^p|2b  
retrieve ... 5tk7H2K^<  
13. The development of a xx system has two stages: xx stage and xx (g&@E(@]?  
stage. <\ eRa{ef  
14. The most essential part of .. system is the ... |9p0"#4u  
15. The successful developments in ESs have made them an FlUO3rc|  
important tool in the development of *aq"c9  
16. An automated system was developed for UFC^ lv  
17. In this case, the system can be considered to be generative. x&"P^gh)  
5m;BL+>YE  
18. An interactive automatic ... system sk*vmxClY  
19. A …. is commonly thought of as a truly integrated .. system T%;NW|mH&  
20. Should be capable of being generated from a ... system jp1e3 Cg  
21. xx is an important part of the integrated system. Z$B%V t  
22. The model consists of four rule bases, each of which addresses a =LgMG^@mu  
separate problem in the hierarchy of scheduling decision. &aa3BgxyE  
23. The rule bases are linked to each other in a chin-like manner in )."dqq^ q  
the sense that the consequent of one rule base constitutes a part of r8!pk~R5]  
the antecedent of the next rule base. %;|dEY  
24. The rule base consists of all possible combinations of the _^`V0>Mh:  
linguistic terms associated with the linguistic variable of the rQJ\Y3.  
antecedent of a rule. N 1.fV-  
Computer System h0HK~S#xBv  
1. The system has been implemented using Prolog language in an b|;h$otC  
MS-DOS environment. Prolog was chosen because it offers a well e}P@7e  h  
known and flexible environment in which fuzzy reasoning may be ~ Nf|,{[(5  
easily implemented. 2+b}FVOe\  
2. The current version of the xx program when compiled with .g?D3$|K  
WATFOR77 results in an executable code of about 270K bytes. u:6R|%1fNn  
Typical run time, when run on a XX computer (an IBM compatible `M(st%@n  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min h%NM%;"H/  
to 2h, depending on the size (or complexity) of the problem. HL dHyK/S  
3. Time consuming procedures have been implemented in rl&.|;5uH;  
C-language and directly linked to the Prolog environment. ,}"jiGgS4  
4. The xx process, once the xx's data has been entered, requires !H<%X~|,  
approximately 180 seconds. SLUQFoz}  
5. It should be noted that the computation was done with a 20 Hhz, 4i5b.b U$  
80386..209;based microcomputer equipped with a 80387 math |`s:&<W+kp  
co-processor. D;jbZ9  
6. The computer programs used for the analyses, one based on the xx 'KT(;Vof  
method and the other based on the new method, were written in >oaL-01i  
FORTRAN with a compiler that supports the math co-processor. W-Vc6cq  
7. Lisp, Prolog give maximum flexibility but also maximizes lV$#>2Hh5  
g}uSIv^  
development time. tmM; Z(9t  
l Internal representation is the way a model is represented in the jzZ]+'t  
computer. >,I'S2_Zl  
l An interactive menu-driven procedure is used in this study O6ugN-d>  
l Shell can be develop very fast at the cost of time fairly severe <P6d -+  
limitations. VZ y$0*  
l While there is no measurable saving of time for the case involving K{V .N</  
five criteria, the saving is dramatic for the case involving 10 criteria 4x3 _8/=  
-- the computation time reduces from 10 hr 40 min to about 1 min. C5$?Y8B3  
l This combination is being implemented in an objected-oriented |.&GmP  
programming environment (Smalltalk-80 system) to solve problems zjSl;ru  
encountered in construction xxx. 79-5 0}A  
Method / Approach / Study / Process Model / Equation /Algorithm / JG1q5j##]b  
Rule / Formula / Technique a" T+CA  
l A discussion is presented of a problem-solving system .tyV =B:h  
l To improve the efficiency of the method, the following approach ^tWSu?9  
may be applied. d6 -q"  
l In order to an investigation was made to find the causes of the UQ7La 7"  
l Although large collections of rules and equations have been ?~#[ cx  
complied, none are generally accepted Q)qJ6-R|HD  
l This approach will be explained and discussed thoroughly in the ,j\uvi(Y  
body of the report. dLwP7#r  
l This can be accomplished by BI<9xl]a  
l This algorithm to compute the total cost can be described step by F M YcZ+4  
step as follows: d(R8^v/L  
l The above preliminary analysis has provided important ,# .12Q!  
information "wKJ8  
l Various methods have been proposed for selecting an optimum... 3u ^wK  
l These concepts have been applied to % W|Sl  
l On the basis of the concept mentioned above, -eS r  
l This can be achieved by R~hIoaiN  
l This fact suggests that a new concept m(kv:5<>  
l This was accomplished by taking ... K V?+9qa,  
)J+rt^4|  
l The preparatory stage is very time consuming process. $#W^JWN1  
l Test are performed for validity, completeness, and compatibility ]VtP7 Y  
l There is little hope of achieving successful ... Nlwt}7  
l There has been an increasing awareness of the potential of using P 6ka'!z  
most ..so far made have not taken this approach, with the exception /l3O i@\  
of CL-?Mi=Uc  
l Only a few studies can be found. -4F}I3I  
l It is a very tedious process to go through yT7{,Z7t  
l It is only when .. has been completed that .. may be effected 85] 'I%gT  
l The entire interpretation process is conducted in one's head. -HuIz6  
l These approaches are sometimes very tedious. +ek6}f#  
l Several techniques can be used iS"6)#a72  
l A polynomial parametric model can be written as [the ~ Hj c?*  
following]/[follows]: n:s _2h(u  
l A xx model is constructed/formulated using xx. 00y(E @~  
l A xx model represents an xx by its xx. 4 EA$<n(A-  
l A process decision model captures the logic essential to Ag2Q!cq  
l From the equation above, xx is equal to the summation of xx dpt P(H  
times the ... /6\uBy"Xt  
l The validity of a xx model can be checked using Euler's formula. _ |HA\!  
l Given a model, one can mathematically determine whether ... or ... u3 &# UN  
l Equations for xx need to be derived and implemented in the tO"AeZe%|  
system. ,5 3`t  
l A number of heuristic rules have been developed for G'nSnw  
l Optimum .. techniques can be made more reliable by ... so that $I ,Np)i  
l An algorithm based on the characteristic ... is used to determine 9j5Z!Vsy  
l Euler's formula states the following: ozHL'H  
l The completed model should agree with the formula. KR hls"\1  
l For manufacturing purposes, a detailed and precise model of the &rG]]IO  
object is necessary ']OT7)_  
l Engineering design models are very well defined; therefore, ke/4l?zs  
l To keep the domain narrow enough to be implementable, yet wide N1vA>(2A  
enough to Y2g%{keo  
be useful. ~= otdJ  
@XcrHnH9  
Point of View hOdU%  
l from an implementation standpoint, ^R7X!tO q4  
l From the point of view of this application, ps/|^8aGZ  
l From this point of view, Zadeh suggested an inference rule named 6_tl_O7  
xxx (CRI for short). cVm F'g  
l Information is the meaningful interpretation and correlation of N7X(gh2h  
some aggregation of data in order to allow one to make decisions. 3z"%ht~;  
l From a practical point of view, the computational aspects of an r,L`@A=v  
FLC require a simplification of the fuzzy control algorithm. |0_5iFAB|  
l The use of a hammer to insert screws, although partly effective, YelF )Na  
tends to distort, destroy, and generally defeat the purpose of using a )M7~RN  
screw [Kusiak AI Implications for CIM p.129] } C~9 ?Y  
Justification Yb:F,d-Ya  
l We choose the so called xx in our experiment because it has 9wdX#=I  
received wide acceptance and can A43[i@o  
l Prolog was chosen because it offers a well known and flexible jHx\YK@e\  
environment in which fuzzy reasoning may be easily implemented. ZA'0 q  
l The rationale behind this is that it can be much easier for an 'loko#6  
estimator to rate a cost as high than to attempt to place a dollar 7sVO?:bj}  
value on the estimate. kn& BGYt  
l This strategy has been widely used in fuzzy control applications Qv8 =CnuOT  
since it is natural and easy to implement. #210 Yp#  
l A function definition expresses the membership function of a Enp;-wG:-  
fuzzy set in a functional form, typically a bell-shaped function, etc. +.*=Fn22  
Such functions are used in FLC because they lead themselves to zzT4+wy`  
manipulation through the use of fuzzy arithmetic. 1IK*j +%  
l It should be noted that in our daily life most of the information on u|Ng>lU  
which our decisions are based is linguistic rather than numerical in \GGyz{i  
nature. Seen in this perspective, fuzzy control rules provide a natural <anU#bEuQ  
framework for the characterization of human behavior and decisions > V >GiSni  
analysis. 0P;LH3sx  
l Many experts have found that fuzzy control rules provide a YH{n   
g}*p(Tp9:  
convenient way to express their domain knowledge. This explains ~!/agLwY  
why most FLCs are based on the knowledge and experience which d"lk"R  
are expressed in the language of fuzzy "if-the" rule. 71\GK  
Chapter 4. Examples X*&Thmee  
Example/ Data iD>H{1 h  
l The data used in the following example was taken from an |jcIn[)=  
experiment in which xx was measured between x and x using a xx &Cr4<V6 -q  
technique. &=wvlI52`  
l The data consists of over xx measurements. iY5V4Gbo  
l An example of xx is discussed and the control rules of xx are x,GLGGi}_x  
compared with a xx 7{NH;U t  
l Examples of complex processes to which this technique may be @r\{iSg&g.  
applied are xx, xx, etc. h)z2#qfc  
l The following example is constructed only for the purpose of bb-u'"5^]  
illustrating the computational procedure discussed. r,P`$-  
l This example clearly demonstrates that the profile of an individual mR8tW"Z2  
xx, or a very small group of xx, with no enough data to be studied Iq 0ew  
statistically, can be meaningfully analyzed by fuzzy possibilistic @H}Hjg_>m  
methods. r5N H*\Q  
l There is no space here to go into detail on all these methods, but !mUO/6Q hq  
deserve a mention and the bibliography will point to detailed a`LkP%  
references for those wishing this level of detail. ieXi6^M$  
l Note that the golf ball spotting example is used throughout the =uR3|U(.|u  
paper. >G As&\4hs  
Comparisons $  k_6  
l As well, the pros and cons of these representations from a process Q&/WVR D  
planning point of view will be discussed. q)J5tBfJ  
l The method of using xx to implement xx described by Zadeh Fe.90)  
(1973) appeared more suitable f85~[3 J  
l As discussed [in the previous section]/[preciously], #)O^aac29  
!t\ sg  
Relation @3bVjQ`4f  
l We can not invert F' directly because it defines a many-to-one lR]FQnZ  
mapping. kU.@HJ[@j  
l The relationships appear very complicate '6L@l  
l Lifting tasks involve complex and imprecise relationship between M4% 3a j  
the task variables and the human operator's characteristics. G#A6< e/  
l These methods are based on the relationship between ... and ... ]EG8+K6  
l The fundamental concept of a fuzzy rating language is that we can Jm"W+! E  
establish a relationship among terms such as high, medium, and low, @#;*e] 1a  
and then modify these relationships. {SD%{  
l This article will thus mention the latter as well as the former. e>bARK<  
l The former two bear a close relation to a fuzzy Cartesian product. G\^<MR|  
Importance 1/K1e$r  
l The emphasis is on an implementation of a general approach to m_,Jbf  
rule based decision making. ?Mn~XN4F_  
Consideration / Attention O\ )Kg2  
l Careful evaluation is necessary to ensure =%s6QFR  
l Such a formulation does not change further considerations. Qqk(,1u  
l Considerable attention has been paid to kE| x'(x  
l Attention should be paid to an important finding of this =E^/gc%X  
investigation. N">#fYix  
l Caution should be exercised in this process to avoid ... V`HnFAW  
l Primary consideration is given to ... components, though others #9~,d<H  
can be accommodated 5 HE5$S  
l After ... has been defined by ..., a carefully analysis is carried 'hV(1Mw  
out/performed to determine 1&<o3)L:  
l A number of factors such as ...need to be taken into consideration E'5KJn;_7  
before making the appropriate decision. md!!$+a%|  
l It should be noted that ]qu6/Z  
l It is important to point out that ... K_-m:P  
l These considerations have heightened interest in the possibility of 3IB9-wG  
providing ... MI(;0   
a|.IAxJ  
l We should stress the fundamental importance of the xx  7Z<GlNv  
Chapter 5. Results. m^3j|'mG  
Advantages / Disadvantage _\Z'Yl  
l One of the major advantages of this new measure of xx is that it 9!Jt}n?!g  
can be applied to the experimental study of z!18Jh  
l One advantage of using a .. is the ease of preparing it. Z P6p>?DQ  
l The xx system is versatile (E&M[hH+  
l It has a very fast decision making process qu dY9_  
l All the algorithms involve mostly logical operations. r<Cr)%z!  
l It can be easily and without additional cost implemented in a u/-EVCHr y  
microprocessor-based environment. -!O8V  
l It can reduce the waste of designing from scratch. r]D U  
l The advantages of using a xx to represent xx are the following: ?!/8~'xA6  
l However, xx is not without its shortcomings. D %)L "5C  
l In most cases, the xxx shows an improvement over the existing R8eBIJ/@_  
xxx. ->.9[|lIg  
l Compared to the existing xx, the impacts of the xx are generally @xa$two  
reduced by 5% to 9%. JMo r[ *  
l The "best case" results shows a savings of 6% to 9%. VP^Yf_  
l Most of the existing works based on xx approach can only D1v0`od'  
recognize a xx . &z:bZH]DH  
l Most of the above methods are computational expansive and s@7hoU-+  
limited to xx. ruB D ^-  
l Some other advantages of xx are the following: W|2|v?v  
l The problem is the limitation of this method to a limited domain of ~yw]<{?  
parts. .r6x9t  
l It proved limited in application because it demanded precision in ) 5$?e  
system modeling that was impossible in practice. ?Z?(ky!  
l There are advantages to be gained in the structuring of costs and F;}JSb"  
benefits, the use of xx, !bYVLFp=\_  
l The disadvantages of this method are also disadvantages of M|%bxG^l  
conventional xx approaches. #Pf<2S  
6Q]c}  
l This combines the best features of both techniques 7kE+9HmfMk  
l Hopefully, this tool can be as the reference framework of for K$/"I0YyI  
developing a xx platform, and helping the administration, marketing, 1v`|mU}i,  
and knowledge management activities in virtual communities. 5=|h~/.k  
Results >Jx=k"Kv+  
l An improvement on the result shown above can be made by based M57<e`m  
on the data provided vn$=be 8l4  
l Discussion of these theories is beyond the scope of this review eUB!sR%  
l Based on the information contained in this Jk&!(YK&  
l The result can be categorized into nine classes 0LL0\ly]  
l The results are illustrated by an example ;NdH]a {  
l The experimental results for each xx time are reported in Table 2. 5= &2=  
l From the results obtained so far, it seem that Nr2,m"R{  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn a4~ B  
as ( s4W&  
l Although much effort has been made to., this reality is far from s Z&|omN  
completion. Eq;w5;7s  
l The results indicate that the total benefits are higher than the c]#}#RJ`\  
total costs. a"U3h[;$y  
l Their results may then serve as guidelines for lower level models, fTy:Re  
less fuzzy and more detailed. |LQ%sV  
Chapter 6. Conclusion ,Owk;MV@  
l From the discussion, one may conclude that ... aXVldt'  
l Form the above discussion, the conclusion can be reached that m6BUKX\m  
l The conclusions drawn are also valid vJ'22)n  
l In conclusion to this, it becomes obvious that the problem of xx (b#M4ho*f  
lies not only in... mp$IhJ6#  
l We have attempted to introduce some concepts associated with a U3:|!CC)T  
theory of g*oX`K.  
xx based on fuzzy sets. w(ZZTVW-  
l Considerable more work, hopefully, will be done in this area \X*y~)+K`  
l A fuzzy set procedure is proposed to solve xx selection problems "]]LQb$  
unn2I|XH  
interwoven with imprecise data ^ei[1 #  
l Employing the compositional rule of inference, the assessment of "QXnE^  
the xx compatibility in achieving prescribed xx projectiles in any >>KI_$V  
level of the hierarchy is made possible. u,8)M' UU  
l This paper has presented a theoretical and experimental study of EL3X8H  
the xx process and xx concept. o#wly%i')  
l The experimental research results will hopefully serve as useful U'" #jT  
feedback information for improvements for xx work. u=qK_$d4  
l The scope of this contribution was to introduce a xx method. l59\Lo:  
l In general, fuzzy sets theory provides an alternative foundation DQW)^j h  
for xx analysis in a fuzzy environment. W3UxFs]$  
Future Research &)Qq%\EP4  
l Thus, first extension of the approach could be, F68e I%Y  
l Present some cues for a further approach from Fuzzy Sets Theory xf;>o$oN0P  
application to v+{{j|x=  
l Some improvements to the scheduling aspect of the model may -DHzBq=H  
be brought through additional levels in the hierarchy for more 00i MU  
detailed representation of the scheduling activity. bFN/{^SB  
Tables and Figures )N- '~<N  
l Figure 7-1 sketches these relationships. FD E?O]^  
l The graphical representation of these functions is shown in Figure !$1qnsz  
1. a_S`$(7k  
l The xx may be depicted as in Figure 1. _PPC?k{z!  
l Figure x shows the schematic diagram of the lbt8S.fx  
l Figure 1 though 2 provide a ... that 9[VYd '  
l the architecture of this expert system for .... is illustrated in Figure "Ua-7Q&A  
2. 3YLfh`6  
l Figure 2 gives the outline of an ... system WGA&Lr  
l Table shows the \,/ozfJ7dT  
l as shown in Table 1 and 2 p2l@6\m\  
l This concept is illustrated in Figure 2 S[9b I&C  
l At the top of Table xx are shown two blocks of data. ku*k+4rz  
ZG H 7_K  
l Each table or matrix has constructs xx through xx as J&h59dm-  
row-headings, PtUS7[]  
xx through xx as column-headings. |7,$.MK- @  
l A table of .. is developed and significant recommendations are 8g{Mv#b%  
made. WLU_t65  
CONJUGATION LE nv/t6U  
To Indicate Addition :I";&7C  
l additionally, again, also, and then, as can be easily understood, -}T7F+  
besides, equally important, especially, finally, for the same reason, x v$fw>  
first, further, furthermore, in addition, last, likewise, moreover, next, 7\$}|b[9  
second, third, too, evidently, obviously, roughly speaking, broadly 8Wtr, %82  
speaking .Gr"| uII  
To Indicate Cause and Effect t4;gY298  
l accordingly, as a result, consequently, for this reason, hence, in $Nvox<d0  
short, otherwise, then, therefore, thus, truly [m< jM[w{  
To indicate Comparison A6_ER&9$>N  
l in a like manner, likewise, similarly , alternatively F\;l)  
To Indicate Concession w H=7pS"s  
l after all, although this may be true, at the same time, even though, OBlQ   
even so , I admit, naturally, of course 2XBHo (  
To Indicate Contrast .aWwJZ=[  
l and yet, at the same time, but, for all that, however, yet, in fact, in FR50y+h^$  
contrast, in the real life, in spite of, nevertheless, notwithstanding, >3p8o@:  
normally, on the contrary, on the other hand, still, traditionally, Yqu/_6wLx  
rather, unfortunately, ;/23C FYM  
To Indicate Time Relationships: x`wUi*G  
after a short time, afterwards, as indicated earlier, as long as, as soon ="@f~~  
YyYp-0#  
as, at last, at length, at the moment, at that time, at the same time, 7S= ]@*  
before, earlier, currently, immediately, in the meantime, in recent d"ZsOq10D  
years, lately, later, meanwhile, often, of late, presently, recently, -DZ5nx  
soon, shortly, since, thereupon, temporarily, therefore, until, when, 6]!Jo)BF  
while  - sq= |  
To Indicate Special Features or Examples: iy8Ln,4z(  
for example, for instance, incidentally, indeed, in fact, in other words, lYm00v6y  
in particular, in practice, specifically, that is, to illustrate, in this Aba%QQQ  
respect, theoretically, as mentioned before / above aNICSxDN  
To Indicate Summary: UY\E uA9  
in brief, in conclusion, in short, in summary, on the whole, to wUS w 9xg  
conclude T!&VT;   
, in general, to summarize, to sum up, as a result, ultimately, ~^3U@( :  
VERB PHASE HErG%v]nw  
l build a .. model u3 4.   
l build up the key link 5cr\ JR  
l began a new era in ... <{HV|B7  
l can be regarded as / achieved / used to/for / found / obtained UQT=URS  
through %wq;<'W  
l can result in .k5&C/jv  
l carries out ... tasks ) @f6  
l production information in order to simultaneously phcYQqR  
l contains all information necessary to describe R8, g^N  
l do not make use of production information n--s[Kdo8  
l deals with |198A ,^  
l end with failure Xf|I=XK  
l fetch the information from the model directly ]n4G]ybK%  
l has great potential / yet to be resolved / spurred the j@jUuYuDgl  
development of / gCI{g. [I!  
been recognized as JHsxaX;c  
l BE aimed at / built up / carried out by / essentially concerned (5=B^9{R  
1n>(CwLG"  
with / considered to be the key technology / associated with each ,D{D QJ(B  
feature of a compo AbOF/ g)C  
site component / cable of / currently implemented for / z~RE}k  
demonstrated by an example / finally reached / made equal to / a`;nB E  
equivalent to / more suitable to / oriented to / interpreted as / "l-R|>6~  
pointed out / potentially of great benefit in the complex task of / *skmTioj&  
shown in / used to effectively guide the search Ou2p^:C(  
l makes use of 0hOps5c8=  
l make up U~Rs?JmTdD  
l meets the needs of real life production,/ the current demands a/lTQj]A  
placed upon it eIt<da<G?  
l must be justified ~y8KQ-1n"  
l point out 1HBXD\!  
l play an important role 18G=j@k7  
l relates to ?4YLt|sn  
l rely on Yp;? Zq9  
l satisfy the needs irKM?#h  
l determine the total requirements for the ... fsUZG 6  
l uses ... as a key to search for... ~r?VXO p"  
l without relying on $9?<mP2-*  
l will be available/ performed/ overlooked @k||gQqIB  
NOUN PHASE }sW%i#CV  
l a basic technical function of yUEvva  
l a critical need B PG&R  
l a key / principle feature of CX#d9 8\b  
l a substantial impact on #i=k-FA)H  
l an intensive review was conducted nG0R1<  
l an increasing need for expanding the application of .... r>B|JPm  
l an important component / function / aspect / issue J(w 3A)(  
l each rule is numbered in sequence D4$2'h  
l each of these involves MM(\>J[Uq  
l for this calculation, it is necessary to define 1x^Vv;K  
l in the physical environment / integration of K>G.HN@  
] D[\l$(  
l in the reality of situations where … $+$4W\-=X  
l many aspects of L5r02VzbD  
l most past efforts have been spent on ... =:'\wx X  
l common sense to a well studied and documented technical field. ZP '0=  
l sources of additional information on ... are listed 8^sh@j2L  
l systematic and rationally structured format z0@BBXQ`  
l the basis on which a range of ...operations can be established is wlgR = l  
shown /h8100  
l THE basic philosophy / principles of / key element / general w@pJ49  
hypothesis / candidate list of / concept of ... has attracted wide *P8CzF^>\&  
interest / function is concerned with / heart / impact / nature / role hD XaCift  
/ task of / kernel functions vIf-TQw  
l the number of parts needed to }{)Rnb@ >  
l the above statement means that #4 <=Ira5  
l the output data is passed to _r>kR7A\{  
l the proposed method / underlying principle ld3H"p rR  
l the recommendations made in this report, if implemented, should A]ZQ?- L/  
l this information resides in sDAP '&  
l this process is composed of ... different ... operation BS(j C  
l along with the use of m_.9 P Z  
l concerning general aspects of z[6avW"q  
l due to z?pi /`y8>  
l for later use in generating..., LH.Gf  
l in turn, ',/#|  
l IT IS believed / noted / assumed / suggested / shown / quite Y=?{TX=6<[  
evident / appears / implies that / intended for / of no important to | P`b"x  
l it can be claimed/concluded that &xA>(|a\&-  
l it demonstrates the decisions required of C#e :_e ]  
l it also provides information to .. h(R7y@mp\0  
l it becomes essential to ;Yv{)@'Bc  
l let ... be the probability that yYSmmgrX0  
l once... is written, it is compiled into... )B+R|PZ,  
l suppose it is observed that %@)R  
l this is because -agB ]j  
A FBH(ms't  
l this results in a wEwR W  
l upon completion of the ... analysis, lJN#_V0qW  
l when the knowledge is of mathematics or quantum physics, it will U;IGV~oT  
also be F(zCvT   
recorded in books and papers w=<E)  
l selection of rules for using the tools, for generating operation ^*4#ZvpG2  
plans, DU8\1(  
is another matter of preference, since practice varies greatly. 5z9hcQAS  
l for the sake of convenience Z.!<YfA)  
l correct decision to be reach lR7;{zlSf'  
l keeping the number of rules to a minimum. ("PZ!z1m1  
l a good process plan will result exhibiting several characteristics: G7|d$!%  
l practical solutions !vRN'/(Vyu  
l because of rather small job lot sizes 2;*G!rE&*`  
l Backward reasoning can be used to answer the question "should 5de1rB|  
milling tool be select" different level of knowledge in the realm of -T1R}ew*t  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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