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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 v/G)E_  
H[J5A2b  
L|y 9T {s  
Beginning _xu_W;nh  
1. In this paper, we focus on the need for Q&`if O  
2. This paper proceeds as follow. Sau?Y  
3. The structure of the paper is as follows. &s~b1Va  
4. In this paper, we shall first briefly introduce fuzzy sets and related t2_pwd*B  
concepts J/>9w  
5. To begin with we will provide a brief background on the  YF$nL(  
Introduction K06x7W  
1. This will be followed by a description of the fuzzy nature of the 2*pNIc  
problem and a detailed presentation of how the required Sej(jJX1  
membership functions are defined. Z"N}f ,  
2. Details on xx and xx are discussed in later sections. ?F^O7\rw  
3. In the next section, after a statement of the basic problem, various tk66Ggi[K  
situations involving possibility knowledge are investigated: first, an  I#U)  
entirely possibility model is proposed; then the cases of a fuzzy 60X ))MyN  
service time with stochastic arrivals and non-fuzzy service rule is / TAza9a  
studied; lastly, fuzzy service rule are considered. PwS7!dzH-  
Review 3Q2z+`x'  
1. This review is followed by an introduction. I.{%e;Reg  
2. A brief summary of some of the relevant concepts in xxx and xxx is m/p:W/0L  
presented in Section 2. u iR[V~  
3. In the next section, a brief review of the .... is given. UUR` m  
4. In the next section, a short review of ... is given with special regard {33B%5n"  
to ... *DuP~8  
5. Section 2 reviews relevant research related to xx. zdgSq v  
6. Section 1.1 briefly surveys the motivation for a methodology of N'=b8J-fF  
action, while 1.2 looks at the difficulties posed by the complexity of  li  
systems and outlines the need for development of possibility +OfHa\Nz  
methods. !b?`TUt   
Body ;, ^AR{+x  
1. Section 1 defines the notion of robustness, and argues for its p&W{g $D>  
P*3PDa@  
importance. yBnUz"  
2. Section 1 devoted to the basic aspects of the FLC decision-making g$^I/OK?  
logic. bI+ TFOP  
3. Section 2 gives the background of the problem which includes xxx r%vO^8FQ  
4. Section 2 discusses some problems with and approaches to, +W^$my)<  
natural language understanding. 04@?Jb1*  
5. Section 2 explains how flexibility which often ... can be expressed 905Lk>rB  
in terms of fuzzy time-window U%l<48@8  
6. Section 3 discusses the aspects of fuzzy set theory that are used in llRQxk  
the ... D |9ItxYu  
7. Section 3 describes the system itself in a general way, including 6+W`:0je  
the ….. and also discusses how to evaluate system performance. Hi#f Qji  
8. Section 3 describes a new measure of xx. -(l/.yE{X  
9. Section 3 demonstrates the use of fuzzy possibility theory in the C0[ Z>$  
analysis of xx. BiD}C  
10. Section 3 is a fine description of fuzzy formulation of human nx|b9W <  
decision. S*S @a4lV7  
11. Section 3 is developed to the modeling and processing of fuzzy {O  (@}  
decision rules %617f=(E?!  
12. The main idea of the FLC is described in Section 3 while Section 4 C252E  
describes the xx strategies. Iv51,0A  
13. Section 3 and 4 show experimental studies for verifying the 5<mGG;F  
proposed model. #({ 9M  
14. Section 4 discusses a previous fuzzy set-based approach to cost @Xl/<S&  
variance investigation. ?b3({ P  
15. Section 4 gives a specific example of xxx. RinaGeim  
16. Section 4 is the experimental study to make a fuzzy model of } DQ KfS  
memory process. ]2@g 5H}M  
17. Section 4 contains a discussion of the implication of the results of $ \vTiS'  
Section 2 and 3. ;/)u/[KAv  
18. Section 4 applies this fuzzy measure to the analysis of xx and >Z!H9]f(  
illustrate its use on experimental data. VZEDBZ x*  
19. Section 5 presents the primary results of the paper: a fuzzy set {5J: ]{p  
model .. )&wJ_ (z  
0) nY- f0  
20. Section 5 contains some conclusions plus some ideas for further t+%tN^87:  
work. - A)X Yz  
21. Section 6 illustrates the model with an example. s7G!4en  
22. Various ways of justification and the reasons for their choice are 4Up \_  
discussed very briefly in Section 2. ^yp`<=  
23. In Section 2 are presented the block diagram expression of a $<v{$UOh  
whole model J~(M%] &k^  
of human DM system /IyCvo  
24. In Section 2 we shall list a collection of basic assumptions which 8>l#F<@5  
a ... scheme must satisfy. CZ.XEMN\  
25. In Section 2 of this paper, we present representation and LG> lj$hO  
uniqueness theorems for the fundamental measurement of fuzziness 5"o)^8!>  
when the domain of discourse is order-dense. 4M{]YZMw8  
26. In Section 3, we describe the preliminary results of an empirical j%@wQVxq  
study iqh"sx{5bp  
currently in progress to verify the measurement model and to ~L ufHbr  
construct membership functions. Ub9p&=]h  
27. In Section 5 is analyzed the inference process through the two W^Z#_{  
kinds of inference experiments... <QZ X""  
This Section vhot-rBN  
1. In this section, the characteristics and environment under which R7 j'XU  
MRP is designed are described. :HTV8;yc  
2. We will provide in this section basic terminologies and notations ,a1 1&"xl  
which are necessary for the understanding of subsequent results. "E/UNE6P4  
Next Section [H&Z / .{F  
2. The next section describes the mathematics that goes into the 3El5g0'G  
computer implementation of such fuzzy logic statements. &yt noj1L(  
3. However, it is cumbersome for this purpose and in practical s!Y`1h{  
applications the formulae were rearranged and simplified as 0b~{l;  
discussed in the next section. IQya{ e  
4. The three components will be described in the next two section, F4`5z)<*  
and an example of xx analysis of a computer information system will wdzZ41y1  
u#sbr8Y  
then illustrate their use. Se> "=[=  
5. We can interpret the results of Experiments I and II as in the w,qYT -R  
following sections. ghu8Eg,Y  
6. The next section summarizes the method in a from that is useful $b=4_UroS  
for arguments based on xx u^NZsuak  
Summary ;4] sP^+  
1. This paper concludes with a discussion of future research zJ7=r#b  
consideration in section 5. '4J];Nj0  
2. Section 5 summarizes the results of this investigation. Z+?V10$  
3. Section 5 gives the conclusions and future directions of research. _J+p[=[L  
4. Section 7 provides a summary and a discussion of some extensions C% )Xz  
of the paper. c5f8pa *  
5. Finally, conclusions and future work are summarized 7g a|4j3%  
6. The basic questions posed above are then discussed and :6}y gL*i  
conclusions are drawn. Nt^9N #+N  
7. Section 7 is the conclusion of the paper. EX.`6,:+2  
Chapter 0. Abstract }q~M$  
1. A basic problem in the design of xx is presented by the choice of a gPrIu+|F  
xx rate for the measurement of experimental variables. ~ d!F|BH4  
2. This paper examines a new measure of xx in xx based on fuzzy Spt]<~  
mathematics which overcomes the difficulties found in other xx w?LDaSz\t  
measures. =eNh))]  
3. This paper describes a system for the analysis of the xx. P$=BmBq18`  
4. The method involves the construction of xx from fuzzy relations. qbwX*E~ ;  
5. The procedure is useful in analyzing how groups reach a decision. ![ OKmy  
6. The technique used is to employ a newly developed and versatile =ZaTD-%id  
xx algorithm. viP.G/(\]  
7. The usefulness of xx is also considered. _3lci  
8. A brief methodology used in xx is discussed. >%o\Ue  
9. The analysis is useful in xx and xx problem. Qq.ht  
10. A model is developed for a xx analysis using fuzzy matrices. !N@d51T=N  
11. Algorithms to combine these estimates and produce a xx are GQP2-cSZ  
D nZkZ;E/  
presented and justified. <+tSTc4>r  
12. The use of the method is discussed and an example is given. yX'f"*  
13. Results of an experimental applications of this xx analysis /7)l22<  
procedure are given to illustrate the proposed technique. nX|f?5 O  
14. This paper analyses problems in 5ZXP$.  
15. This paper outlines the functions carried out by ... ~KW|<n4m  
16. This paper includes an illustration of the ... ka^sOC+Y  
17. This paper provides an overview and information useful for ey~5DY7  
approaching 41S.&-u  
18. Emphasis is placed on the construction of a criterion function by R.FC3<TTv  
which the xx in achieving a hierarchical system of objectives are `}Of'i   
evaluated. l. 9 i `  
19. The main emphasis is placed on the problem of xx L>&o_bzp  
20. Our proposed model is verified through experimental study. GbLuX U  
21. The experimental results reveal interesting examples of fuzzy ?OYK'p.  
phases of: xx, xx ^{IF2_h"  
22. The compatibility of a project in terms of cost, and xx are likewise %]2hxTV  
represented by linguistic variables. $ e<108)]  
23. A didactic example is included to illustrate the computational s?:&#  
procedure /{[Y l[{"<  
Chapter 1. Introduction _5nS!CN  
Time N5yt'.d  
1. Over the course of the past 30 years, .. has emerged form intuitive cIL I%W1  
2. Technological revolutions have recently hit the industrial world &tAhRMa  
3. The advent of ... systems for has had a significant impact on the /f5*KRM  
4. The development of ... is explored kgq"b)  
5. During the past decade, the theory of fuzzy sets has developed in a JZa^GW:YQh  
variety of directions #GJ{@C3H8Q  
6.The concept of xx was investigated quite intensively in recent years {Tps3{|wt  
7. There has been a turning point in ... methodology in accordance 5a`f % h%  
with the advent of ... o*[n[\cR  
8. A major concern in ... today is to continue to improve... VIXY?Ua  
9. A xx is a latecomer in the part representation arena. - kGwbV}  
pQ_EJX)  
10. At the time of this writing, there is still no standard way of xx L[|($vQ"  
11. Although a lot of effort is being spent on improving these hyHeyDO2  
weaknesses, the efficient and effective method has yet to be prWK U  
developed. Yq$KYB j  
12. The pioneer work can be traced to xx [1965]. Qb.Ve7c  
13. To date, none of the methods developed is perfect and all are far ($h`Y;4  
from ready to be used in commercial systems. !a.|URa7  
Objective / Goal / Purpose x %hV5KW  
1. The purpose of the inference engine can be outlined as follows: ZM6`:/lc  
2. The ultimate goal of the xx system is to allow the non-experts to SU,#:s(  
utilize the existing knowledge in the area of manual handling of loads, 3Uy48ue  
and to provide intelligent, computer-aided instruction for xxx. SJ4+s4!l <  
3. The paper concerns the development of a xx @(m+B\  
4. The scope of this research lies in N<$dbqoT|  
5. The main theme of the paper is the application of rule-based |[ )e5Xhd  
decision making. "CX@a"  
6. These objectives are to be met with such thoroughness and MMQ^&!H  
confidence as to permit ... wm'a)B?  
7. The objectives of the ... operations study are as follows: tbH` VD"u  
8. The primary purpose/consideration/objective of AgBXB%).  
9. The ultimate goal of this concept is to provide KkIgyLM  
10. The main objective of such a ... system is to ~ \{a< -R  
11. The aim of this paper is to provide methods to construct such !jySID?q  
probability distribution. mRNA ,*  
12. In order to achieve these objectives, an xx must meet the ]U,c`?[7#  
following requirements: t)i{=8 rq  
13. In order to take advantage of their similarity vOIzfwYG9  
14. more research is still required before final goal of ... can be \U?$ r[P  
completed cm'`u&S  
15. In this trial, the objective is to generate... q;)+O#CR  
16. for the sake of concentrating on ... research issues ;h-W&i7  
17. A major goal of this report is to extend the utilization of a recently vg"$&YX9"  
developed procedure for the xx. \se /2l  
8E+]yB"  
18. For an illustrative purpose, four well-known OR problems are Bn<1zg5  
studied in presence of fuzzy data: xx. jY+u OH  
19. A major thrust of the paper is to discuss approaches and eVetG,["  
strategies for structuring ..methods Qf .ASC   
20. This illustration points out the need to specify C]bre^q  
21. The ultimate goal is both descriptive and prescriptive. JS^QfT,zE  
22. Chapter 2. Literature Review '| 6ZPv&N  
23. A wealth of information is to be found in the statistics literature, &<>NP?j}  
for example, regarding xx fN!lXPgM  
24. A considerable amount of research has been done .. during the |nMg.t`8  
last decade QB"Tlw(  
25. A great number of studies report on the treatment of e a3f`z  
uncertainties associated with xx. b3M`vJ+{  
26. There is considerable amount of literature on planning E|K|AdL  
27. However, these studies do not provide much attention to ; "K"S[  
uncertainty in xx. zAkF:^ #Y  
28. Since then, the subject has been extensively explored and it is y7ZYo7avg  
still under investigation as well in methodological aspects as in ;ipT0*Y  
concrete applications. UID0|+%Y  
29. Many research studies have been carried out on this topic. Rh :|ij>B  
30. Problem of xx draws recently more and more attention of system M?ObK#l!_  
analysis. ]/6i#fTw  
31. Attempts to resolve this dilemma have resulted in the q\n,/#'i~  
development of Q`m9I  
32. Many complex processes unfortunately, do not yield to this U0ZPY )7k  
design procedure and have, therefore, not yet been automated. F.cKg~E|e  
33. Most of the methods developed so far are deterministic and /or pdySip<  
probabilistic in nature. I R|[&}z  
34. The central issue in all these studies is to >n"4M~I  
35. The problem of xx has been studied by other investigators, v vzPt.ag  
however, these studies have been based upon classical statistical $z[@DB[  
approaches. ]RxJ^'a63  
36. Applied ... techniques to )qua0'y]@  
37. Characterized the ... system as jYk5]2#A  
L-DL)8;`  
38. Developed an algorithm to _lBHZJ+  
39. Developed a system called ... which U62Z ?nge%  
40. Uses an iterative algorithm to deduce 4Ifz-t/  
41. Emphasized the need to jR2^n`D  
42. Identifies six key issues surrounding high technology KsSIX  
43. A comprehensive study of the... has been undertaken  "SA*  
44. Much work has been reported recently in these filed L_Xbca=  
45. Proposed/Presented/State that/Described/Illustrated/ &>xz  
Indicated/Has shown / showed/Address/Highlights V<ii  
46. Point out that the problem of gE9x+g  
47. A study on ...was done / developed by [] +Kp8X53  
48. Previous work, such as [] and [], deal only with 0[f[6mm%m  
49. The approach taken by [] is 9Cs/B*3)b  
50. The system developed by [] consists O$7cN\Z  
51. A paper relevant to this research was published by [] :;jRAjq"  
52. []'s model requires consideration of... ;]l`Q,*OXb  
53. []' model draws attention to evolution in human development +45.fo  
54. []'s model focuses on... 73l,PJ  
55. Little research has been conducted in applying ... to +E']&v$  
56. The published information that is relevant to this research... wUfm)Q#  
57. This study further shows that uT>"(wnJ|  
58. Their work is based on the principle of Md&K#)9,(  
59. More history of ... can be found in xx et al. [1979]. b%].D(qBy  
60. Studies have been completed to established p2 !w86 F  
61. The ...studies indicated that E.,  
62. Though application of xx in the filed of xx has proliferated in 0jt@|3  
recent years, effort in analyzing xx, especially xx, is lacking. _ BoA&Ism  
Problem / Issue / Question <tW/9}@p9  
63. Unfortunately, real-world engineering problems such as VAp  1{  
manufacturing planning do not fit well with this narrowly defined uR.`8s|  
model. They tend to span broad activities and require consideration X o[GD`t  
of multiple aspects. >D Ai-`e  
64. Remedy / solve / alleviate these problems )<$<9!L4x  
67. ... is a difficult problem, yet to be adequately resolved Z= =c3~  
p*l=rni4  
68. Two major problems have yet to be addressed ,u9 >c*Ss\  
69. An unanswered question  & [ ,*  
70. This problem in essence involves using x to obtain a solution. !DD4Bqez  
71. An additional research issue to be tackled is .... z'*{V\  
72. Some important issues in developing a ... system are discussed NZ?dJ"eq7  
73. The three prime issues can be summarized: B>[myx  
74. The situation leads to the problem of how to determine the ... $RYOj{1  
75. There have been many attempts to FH{p1_kZ=  
76. It is expected to be serious barrier to (C.aQ)|T  
77. It offers a simple solution in a limited domain for a complex q{+}0!o  
problem. eIOMW9Ivt  
1. There are several ways to get around this problem. v3(0Mu0J  
2. As difficult as it seems to be, xx is by no means new. D~M*]&  
3. The problem is to recognize xx from a design representation. "N)InPR-  
4. A xx problem can trace its roots to xx. _UY=y^ c0>  
5. xx [1987] used a heuristic approach to simplify the complexity of `~\8fN  
the problem. KL*+gq0k  
6. Several problems are associated with them. s#(7D3Pr#  
7. Although some progress has been made in this area, at least two |XMWi/p  
major obstacles must be overcome before a fully automated system b}*q* Bq  
can be realized. ..w$p-1  
8. Most problems in practice are complicated m}]QP\  
9. More problem surface here. u$X =2u:P  
10. Hamper effort toward a xx system 7PwH&rI  
11. In order to overcome the limitations due to incomplete and =dmxE*C  
imprecise xx knowledge, a xx program has been developed, which m>?|*a,  
bases its knowledge upon the statistical analysis of a sample FC  
population of xx PnL?zae  
12. The above difficulties are real challenges faced by researchers d,Oe3?][0p  
attempting to develop :a:m>S<~  
13. This type of mapping raises no controversy to the issue of ,Ek6X)|@  
membership function determination. #WGy Q u  
14. However, attempts to quantify the xx have met both theoretical vl?fCO  
and empirical problems. wUfPnAD.'  
!3o/c w9  
15. It has become apparent that in order to apply this new e@& 2q{Gi=  
methodological framework to real-world problems and data, we have O2fFh_\  
to pay attention to the problems of xx and xx. dj}P|v/;z  
Chapter 3. Proposed methodology G^SDB!/@J  
Assumption ;&kZ7%  
1. In the case when the assumption of a xx seems to be too tf1Y5P$  
restrictive or inadequate, the formulation with Fuzzy termination f9hH{ ( A  
time, i.e. given by a fuzzy set in the space of control stages, may be iR8;^C.aT  
applied. i98PlAq)B  
2. We assume here the fuzzy constraints to be state-dependent, and PWfd<Yf!  
the fuzzy goal to be the same for all the control states, xx, which .TNJuuO  
stems from the problem's nature. fSGaUBiq}  
3. An approach to the solution of this problem is presented under the r4iT 9 D  
assumption that the sampling rate Decision can be made prior to the nE :Wl  
execution of the experiment, as opposed to being made while the B* ^QTJ  
experiment is in progress. 5 RYrAzQo  
4. Another assumption made above is that there are precise odds at Bma.Uln  
which the expert is indifferent. maV*+!\  
5. Main simplifying assumptions are: -cUw}  
6. This, in our view, is a questionable assumption. `[x'EJp#  
Outline / Structure / Module q\~D:z$+CO  
1. An outline of the research K n2W{*wD  
2. Information is incorporated within the scheme $us7fuKE  
3. Is built into ... structure 1W9uWkk_d  
4. A nice modular structure. lvUWs  
5. The principles of ... are applied as modularized criteria T'N/A9{q  
Classification &@qB6!^  
1. A xx system comprises three main components: }c#W"y5l_  
2. Must decompose the original .. into a set of .. K=dG-+B~}  
3. Consists of the following steps: W@~a#~1O  
4. This is summarized in the following steps: #O7phjzgD  
VZ2CWE)t  
5. Can be broadly classified into the following areas: '/X m%S  
6. Can be characterized by its function of effectively processing the _ n4C~  
7. Can allow further breadth of application of ...into more "h&[6-0'  
8. The following steps should be followed :} o{<U  
9. xx can be classified by a different ways. Pa ^_ s  
10. Based on the xx, one may classify xx into the following: [kI[qByf  
11. This catalog may change due to wear, breakage, and purchasing. WX $AOnEv  
System "}uV=y  
1. Unlike many conventional program, expert systems do not IY|>'}UU#  
usually deal with problem for which there is clearly a right or wrong  Lvn+EM  
answer. M|7{ZE`Y  
2. The system consists of both ... and ... +^%0/0e  
3. The system has a hierarchical modular architecture organized on *,wW -8  
three levels. $XFFNE`%  
4. expert system domains are area of expertise "GAKi}y">v  
5. To develop a xx system for xx, the following factors must be 8ya|eJ]/L  
considered: (z%OK[  
6. The system has been developed / designed to determine |PLWF[+t8  
7. The system has proven to be able to t;lK=m|  
8. The domain in which an expert system operates is a particular A)nE +ec1  
domain {JW_ZJx  
9. The system comprises a ... with >+*lG>!z  
10. The system is [feature-oriented ] / based on the ... technique  .+-7 'ux  
11. The system environment must be relatively stable :tLMh08h  
12. The system is utilized to generate, load, store, update and ,v(ikPzd  
retrieve ...  OF`:);  
13. The development of a xx system has two stages: xx stage and xx 5+*CBG}  
stage. kJ B u7  
14. The most essential part of .. system is the ... e]smnf  
15. The successful developments in ESs have made them an !A"-9OS2  
important tool in the development of }yM!o` 90  
16. An automated system was developed for S!7|vb*ko  
17. In this case, the system can be considered to be generative. 8' +I8J0l  
IPlkv{^  
18. An interactive automatic ... system 4-q8:5  
19. A …. is commonly thought of as a truly integrated .. system (EOYJHZB!  
20. Should be capable of being generated from a ... system oo!JAv}~  
21. xx is an important part of the integrated system. /3 d6Og  
22. The model consists of four rule bases, each of which addresses a H`8}w{ft&  
separate problem in the hierarchy of scheduling decision. s!/Q>A  
23. The rule bases are linked to each other in a chin-like manner in (Bu-o((N@0  
the sense that the consequent of one rule base constitutes a part of &fgfCZz'  
the antecedent of the next rule base. Q E*`#r#e  
24. The rule base consists of all possible combinations of the b'G!)n  
linguistic terms associated with the linguistic variable of the GhY MO6Q4  
antecedent of a rule. YW^sf,zQ  
Computer System Lz}mz-N  
1. The system has been implemented using Prolog language in an R(DlJ  
MS-DOS environment. Prolog was chosen because it offers a well z4*`K4W  
known and flexible environment in which fuzzy reasoning may be ,c[f/sT\  
easily implemented. 9Zpd=m8dU  
2. The current version of the xx program when compiled with # ,27,#  
WATFOR77 results in an executable code of about 270K bytes. b)@b63P_  
Typical run time, when run on a XX computer (an IBM compatible w:o,mzuXK  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min wm _o(Z}  
to 2h, depending on the size (or complexity) of the problem. WhN~R[LE_  
3. Time consuming procedures have been implemented in zX ?@[OT  
C-language and directly linked to the Prolog environment. "A,-/~cBV  
4. The xx process, once the xx's data has been entered, requires c~iAjq+c  
approximately 180 seconds. Ce_E S.  
5. It should be noted that the computation was done with a 20 Hhz, p>GxSE)  
80386..209;based microcomputer equipped with a 80387 math {/SLDyf%Z  
co-processor. m8<l2O=m  
6. The computer programs used for the analyses, one based on the xx FTC,{$  
method and the other based on the new method, were written in 1<d|@ 9?9`  
FORTRAN with a compiler that supports the math co-processor. mA>u6Rlc  
7. Lisp, Prolog give maximum flexibility but also maximizes P|4qbm4%O,  
uP veAK}h  
development time. {9*k \d/;  
l Internal representation is the way a model is represented in the 8\@&~&(y:  
computer. %vFoTu)2  
l An interactive menu-driven procedure is used in this study t^-yK;`?q:  
l Shell can be develop very fast at the cost of time fairly severe a}MSA/K(  
limitations. yCT:U&8%F  
l While there is no measurable saving of time for the case involving MC&sM-/  
five criteria, the saving is dramatic for the case involving 10 criteria `cBV+00YS  
-- the computation time reduces from 10 hr 40 min to about 1 min. W4~:3 Sk  
l This combination is being implemented in an objected-oriented cy-Bhk0H  
programming environment (Smalltalk-80 system) to solve problems dJ}E,rW}  
encountered in construction xxx. HKZD*E((  
Method / Approach / Study / Process Model / Equation /Algorithm / qFD#D_O6  
Rule / Formula / Technique {Ex*8sU%p%  
l A discussion is presented of a problem-solving system 1IRlFC  
l To improve the efficiency of the method, the following approach &hb: ~>  
may be applied. ZfYva(zP{Q  
l In order to an investigation was made to find the causes of the 6*n<emP  
l Although large collections of rules and equations have been bEJz>oyW"  
complied, none are generally accepted [spJ%AhV  
l This approach will be explained and discussed thoroughly in the G$B( AWL  
body of the report. &>m# "A\^  
l This can be accomplished by *$I5_A8,.  
l This algorithm to compute the total cost can be described step by Qw m#6{5  
step as follows:  `Y~EL?  
l The above preliminary analysis has provided important t<|S7 EqIL  
information A1A/OU<Vb  
l Various methods have been proposed for selecting an optimum... Gx]J6Z8  
l These concepts have been applied to D~i m1h;>  
l On the basis of the concept mentioned above, Q8kdX6NMd&  
l This can be achieved by Rt[zZv  
l This fact suggests that a new concept +v`?j+6z  
l This was accomplished by taking ... U?}>A5H  
Sf2pU!5n^  
l The preparatory stage is very time consuming process. ;;2Yfn'`9  
l Test are performed for validity, completeness, and compatibility i8\&J.  
l There is little hope of achieving successful ... H|1owmbD  
l There has been an increasing awareness of the potential of using d&dp#)._8  
most ..so far made have not taken this approach, with the exception sMq*X^z )?  
of `Eijy3>h  
l Only a few studies can be found. us2X:X)  
l It is a very tedious process to go through a19yw]hF5  
l It is only when .. has been completed that .. may be effected hf/6VlZ  
l The entire interpretation process is conducted in one's head. xMAfa>]{n  
l These approaches are sometimes very tedious. ZZ<uiN$  
l Several techniques can be used bF#*cH  
l A polynomial parametric model can be written as [the vakAl;  
following]/[follows]: SA| AS<  
l A xx model is constructed/formulated using xx. f xWW "B*A  
l A xx model represents an xx by its xx. kIb)I(n  
l A process decision model captures the logic essential to z"b}V01F#  
l From the equation above, xx is equal to the summation of xx ~VRt 6C  
times the ... L"w% ew  
l The validity of a xx model can be checked using Euler's formula. /.'tfy $  
l Given a model, one can mathematically determine whether ... or ... 1^*M*>&d<  
l Equations for xx need to be derived and implemented in the CnJrJ>l  
system. :|s!_G<  
l A number of heuristic rules have been developed for X}~5%B(  
l Optimum .. techniques can be made more reliable by ... so that c~@ Z  
l An algorithm based on the characteristic ... is used to determine gD"]uj<  
l Euler's formula states the following: /B $9B  
l The completed model should agree with the formula. "k)}qI{  
l For manufacturing purposes, a detailed and precise model of the =*VKp{5=  
object is necessary E4a`cGb  
l Engineering design models are very well defined; therefore, 1@&i ju5  
l To keep the domain narrow enough to be implementable, yet wide y; )j  
enough to #1INOR9  
be useful. dM%#DN8 l  
7oj ^(R,  
Point of View v99gI%TA'  
l from an implementation standpoint, )20jZm*  
l From the point of view of this application, PSOW}Y|q  
l From this point of view, Zadeh suggested an inference rule named HLL[r0P`F  
xxx (CRI for short). 8oM]gW;J~  
l Information is the meaningful interpretation and correlation of K%Dksx7ow  
some aggregation of data in order to allow one to make decisions. 1o&] =(  
l From a practical point of view, the computational aspects of an <Yzk]98W5.  
FLC require a simplification of the fuzzy control algorithm. WE_jT1 ^/  
l The use of a hammer to insert screws, although partly effective, Fap@cW3?8  
tends to distort, destroy, and generally defeat the purpose of using a IO,ddVO  
screw [Kusiak AI Implications for CIM p.129] o5!"dxR  
Justification L aI(  
l We choose the so called xx in our experiment because it has  b)7uz>I  
received wide acceptance and can pF)}<<C  
l Prolog was chosen because it offers a well known and flexible 'S_kD! BO  
environment in which fuzzy reasoning may be easily implemented. .~ )[>  
l The rationale behind this is that it can be much easier for an 9.<dS  
estimator to rate a cost as high than to attempt to place a dollar }( x|  
value on the estimate. u"rK5'  
l This strategy has been widely used in fuzzy control applications -P|EV|8=  
since it is natural and easy to implement. 'ZyHp=RN)  
l A function definition expresses the membership function of a PV_E3,RY  
fuzzy set in a functional form, typically a bell-shaped function, etc. qo1eHn4  
Such functions are used in FLC because they lead themselves to DU_38tz  
manipulation through the use of fuzzy arithmetic. K\Oz ~,z  
l It should be noted that in our daily life most of the information on %+PWcCmn  
which our decisions are based is linguistic rather than numerical in 3j{VpacZY  
nature. Seen in this perspective, fuzzy control rules provide a natural A=Au>"nAA  
framework for the characterization of human behavior and decisions ]dZ8]I<$C  
analysis. ,2Y P D4  
l Many experts have found that fuzzy control rules provide a =[wVRQ?  
H*#L~!]  
convenient way to express their domain knowledge. This explains \Y)pm9!  
why most FLCs are based on the knowledge and experience which 1<hj3  
are expressed in the language of fuzzy "if-the" rule. goYRA_%cX  
Chapter 4. Examples _dCsYI%  
Example/ Data X[L6Av  
l The data used in the following example was taken from an h kzy I~7  
experiment in which xx was measured between x and x using a xx [4)q6N5`f  
technique. -4 P2 2  
l The data consists of over xx measurements. Da#|}m0 >  
l An example of xx is discussed and the control rules of xx are 7%p[n;-o&  
compared with a xx liEb(<$a  
l Examples of complex processes to which this technique may be Cm:&n |  
applied are xx, xx, etc. Am~ NBQ7  
l The following example is constructed only for the purpose of qXPT1%+)y  
illustrating the computational procedure discussed. O.7Q* ^_  
l This example clearly demonstrates that the profile of an individual x`'2oz=,F4  
xx, or a very small group of xx, with no enough data to be studied %|(~k*s4  
statistically, can be meaningfully analyzed by fuzzy possibilistic 28l",j)S  
methods. !"u) `I2  
l There is no space here to go into detail on all these methods, but 3c5=>'^F  
deserve a mention and the bibliography will point to detailed 8Z;wF  
references for those wishing this level of detail. %G9: M;|'  
l Note that the golf ball spotting example is used throughout the Jhbkp?Zli  
paper. |CME:;{T  
Comparisons 'T54k  
l As well, the pros and cons of these representations from a process `r"euO r\  
planning point of view will be discussed. L]{ 1"`#  
l The method of using xx to implement xx described by Zadeh &wj;: f  
(1973) appeared more suitable wyO@oi Vn  
l As discussed [in the previous section]/[preciously], ]Xcqf9k  
mq$mB1$3u  
Relation XZhX%OT!  
l We can not invert F' directly because it defines a many-to-one  /kGRN @  
mapping. &_ er_V~  
l The relationships appear very complicate [0 7N<<  
l Lifting tasks involve complex and imprecise relationship between )L#C1DP#  
the task variables and the human operator's characteristics. \(_FGa4j  
l These methods are based on the relationship between ... and ... 2BOe,giy  
l The fundamental concept of a fuzzy rating language is that we can 11}fPWK  
establish a relationship among terms such as high, medium, and low, 8;7Y}c  
and then modify these relationships. 0;'kv |  
l This article will thus mention the latter as well as the former. m`UNdFS  
l The former two bear a close relation to a fuzzy Cartesian product. ]X +3"  
Importance s)%RmsdL  
l The emphasis is on an implementation of a general approach to pYV$sDlD  
rule based decision making. mg)lr&-b  
Consideration / Attention -}k'a{sj=  
l Careful evaluation is necessary to ensure o[*</A }  
l Such a formulation does not change further considerations. D"fE )@Q@Y  
l Considerable attention has been paid to GP ;c$pC  
l Attention should be paid to an important finding of this ]H7_bix  
investigation. ABEC{3fWpu  
l Caution should be exercised in this process to avoid ... haW8zb0z  
l Primary consideration is given to ... components, though others k;:v~7VF  
can be accommodated -bo2"*|m  
l After ... has been defined by ..., a carefully analysis is carried "/hM&  
out/performed to determine {e[S?1t=l  
l A number of factors such as ...need to be taken into consideration .EVy?-   
before making the appropriate decision. O!='U!X@ P  
l It should be noted that !_s|h@  
l It is important to point out that ... ^[XxE Lx  
l These considerations have heightened interest in the possibility of X hFa9RC  
providing ... R3F>"(P@tS  
Ea1{9> S  
l We should stress the fundamental importance of the xx ]9)pF L  
Chapter 5. Results. evPr~_  
Advantages / Disadvantage c"t1E-Nsk  
l One of the major advantages of this new measure of xx is that it ~\/>b}^uf'  
can be applied to the experimental study of I})la!9   
l One advantage of using a .. is the ease of preparing it. H[V^wyi'z  
l The xx system is versatile #(h~l> r  
l It has a very fast decision making process y|q4d( P.  
l All the algorithms involve mostly logical operations. N+l~r]: &  
l It can be easily and without additional cost implemented in a JY0t Hs  
microprocessor-based environment. {f#{NA5  
l It can reduce the waste of designing from scratch. [6BL C{2  
l The advantages of using a xx to represent xx are the following: ;_K+b,  
l However, xx is not without its shortcomings. _3tHzDSG #  
l In most cases, the xxx shows an improvement over the existing QRdNi 1&M  
xxx. !^!<Xz ;  
l Compared to the existing xx, the impacts of the xx are generally >1a- }>r  
reduced by 5% to 9%. >j oGG T  
l The "best case" results shows a savings of 6% to 9%. 3/:O8H  
l Most of the existing works based on xx approach can only 5}9-)\8=z  
recognize a xx . :q~qRRmjBe  
l Most of the above methods are computational expansive and PqPLy  
limited to xx. ^j';4'  
l Some other advantages of xx are the following: (U2G"  
l The problem is the limitation of this method to a limited domain of "*laY<E  
parts. >NB}Bc  
l It proved limited in application because it demanded precision in y4VCehdJ  
system modeling that was impossible in practice. /`hr)  
l There are advantages to be gained in the structuring of costs and >?'q P ]  
benefits, the use of xx, 5h1!E  
l The disadvantages of this method are also disadvantages of Jl Q%+$  
conventional xx approaches. \bQ|O7s  
ro@Zbm;P  
l This combines the best features of both techniques h\'GL(?DBI  
l Hopefully, this tool can be as the reference framework of for :m5& i&  
developing a xx platform, and helping the administration, marketing, .`Z{ptt>  
and knowledge management activities in virtual communities. }yx{13:[  
Results D> Z>4:EM  
l An improvement on the result shown above can be made by based <tf4j3lwH  
on the data provided {,IWjt &>  
l Discussion of these theories is beyond the scope of this review P)1@HDN==  
l Based on the information contained in this 68FxM#xR  
l The result can be categorized into nine classes "1%<IqpU+  
l The results are illustrated by an example lx$Y-Tb^F  
l The experimental results for each xx time are reported in Table 2. lU Uq|Qr  
l From the results obtained so far, it seem that [.6>%G1C  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn Z;%  
as 7;CeQx/W)W  
l Although much effort has been made to., this reality is far from Lom%eoH)  
completion. yl 0?Y  
l The results indicate that the total benefits are higher than the 3;>(W  
total costs. 0 p2 0Rt  
l Their results may then serve as guidelines for lower level models, X'k w5P!sq  
less fuzzy and more detailed. ~;+i[Z&e  
Chapter 6. Conclusion "3\RJ?eW:S  
l From the discussion, one may conclude that ... /;OJ=x3i  
l Form the above discussion, the conclusion can be reached that v~jN,f*  
l The conclusions drawn are also valid N->;q^  
l In conclusion to this, it becomes obvious that the problem of xx ="A[*:h C"  
lies not only in... n|,Es!8:o  
l We have attempted to introduce some concepts associated with a dtF6IdAf  
theory of !?l 23(d  
xx based on fuzzy sets. r#Pd@SV  
l Considerable more work, hopefully, will be done in this area fLD9RZ8_  
l A fuzzy set procedure is proposed to solve xx selection problems ^k_!+8"q{  
s &.Z;X  
interwoven with imprecise data "Q/3]hc.  
l Employing the compositional rule of inference, the assessment of kkJg/:g  
the xx compatibility in achieving prescribed xx projectiles in any _p_F v>>:  
level of the hierarchy is made possible. EXBfzK)a  
l This paper has presented a theoretical and experimental study of S;t~"87v*  
the xx process and xx concept. 3R{-\ZMd  
l The experimental research results will hopefully serve as useful RF;N]A?*  
feedback information for improvements for xx work. -"cN9RF  
l The scope of this contribution was to introduce a xx method. |hdh4P$+|  
l In general, fuzzy sets theory provides an alternative foundation t%TZu>(1O  
for xx analysis in a fuzzy environment. P\M+Z A ;  
Future Research 5G!X 4%a  
l Thus, first extension of the approach could be, r[,KE.^6~#  
l Present some cues for a further approach from Fuzzy Sets Theory G` 8j ^H,  
application to HAiUFO/R  
l Some improvements to the scheduling aspect of the model may 9 .@(&  
be brought through additional levels in the hierarchy for more ex| kD*=  
detailed representation of the scheduling activity. A]J^{h0 k  
Tables and Figures AzV5Re8M  
l Figure 7-1 sketches these relationships. 869`jA &7"  
l The graphical representation of these functions is shown in Figure T9$U./69-L  
1. yp4G"\hN9  
l The xx may be depicted as in Figure 1. +/X'QB$R  
l Figure x shows the schematic diagram of the C=]3NB>Jc  
l Figure 1 though 2 provide a ... that kzmt'/L8  
l the architecture of this expert system for .... is illustrated in Figure wiG wN  
2. dL \8^L  
l Figure 2 gives the outline of an ... system ~3%3{a a  
l Table shows the L!p|RKz9X  
l as shown in Table 1 and 2 joA+  
l This concept is illustrated in Figure 2 O`u!P\  
l At the top of Table xx are shown two blocks of data. K$ &wO.  
ep?0@5D}]  
l Each table or matrix has constructs xx through xx as s/^k;qw  
row-headings, Z])_E 6.  
xx through xx as column-headings. w=`z!x![/  
l A table of .. is developed and significant recommendations are vhHMxOZ;  
made. wgyO%  
CONJUGATION g@2.A;N0  
To Indicate Addition V9 VP"kD  
l additionally, again, also, and then, as can be easily understood, *p3P\ H^5  
besides, equally important, especially, finally, for the same reason, Wy4^mOv  
first, further, furthermore, in addition, last, likewise, moreover, next, Oe YLL4H  
second, third, too, evidently, obviously, roughly speaking, broadly T]W -g  
speaking V.#8-?z  
To Indicate Cause and Effect  ~Hs{(7   
l accordingly, as a result, consequently, for this reason, hence, in K5>:Wi Y  
short, otherwise, then, therefore, thus, truly ~Z2eQx jtM  
To indicate Comparison HWhKX:`l  
l in a like manner, likewise, similarly , alternatively ? st#6=M  
To Indicate Concession 1 =<|h  
l after all, although this may be true, at the same time, even though, F 29AjW86  
even so , I admit, naturally, of course IFxI>6<&  
To Indicate Contrast :Y >] 6  
l and yet, at the same time, but, for all that, however, yet, in fact, in [QbXj0en$  
contrast, in the real life, in spite of, nevertheless, notwithstanding, B: ~;7A\  
normally, on the contrary, on the other hand, still, traditionally, 7Ca\ (82  
rather, unfortunately, H4NEB1 TO>  
To Indicate Time Relationships: GiXde}bm  
after a short time, afterwards, as indicated earlier, as long as, as soon =-LX)|x}  
h&bV!M  
as, at last, at length, at the moment, at that time, at the same time, 1fv~r@6s  
before, earlier, currently, immediately, in the meantime, in recent T''+zk  
years, lately, later, meanwhile, often, of late, presently, recently, lM^!^6=v0l  
soon, shortly, since, thereupon, temporarily, therefore, until, when, 5iddB $  
while *t{c}Y&@  
To Indicate Special Features or Examples: 6bKO;^0  
for example, for instance, incidentally, indeed, in fact, in other words, !u4Z0!Ll  
in particular, in practice, specifically, that is, to illustrate, in this 9C}aX}`  
respect, theoretically, as mentioned before / above yI.H4Dl<  
To Indicate Summary: Q\#{2!I  
in brief, in conclusion, in short, in summary, on the whole, to b+].Uc  
conclude >Y-TwD aE  
, in general, to summarize, to sum up, as a result, ultimately, D4Y!,7WEVt  
VERB PHASE U@J/  
l build a .. model ? ZHE8  
l build up the key link hLbT\J`I  
l began a new era in ... ]~00=nXFM/  
l can be regarded as / achieved / used to/for / found / obtained 0*Km}?;0-  
through M=[q+A  
l can result in _SIs19"lR  
l carries out ... tasks +yb$[E*  
l production information in order to simultaneously s>@#9psm  
l contains all information necessary to describe 6"Lsui??  
l do not make use of production information dD^_^'i  
l deals with hG~]~ )  
l end with failure Stw+Dm\!  
l fetch the information from the model directly ra%R:xX  
l has great potential / yet to be resolved / spurred the [pW1=tI  
development of / I*W9VhIOV  
been recognized as 9IvcKzS 2  
l BE aimed at / built up / carried out by / essentially concerned c[h'`KXJf-  
&=z1$ih>2\  
with / considered to be the key technology / associated with each hr<7l C  
feature of a compo "6E1W,|{  
site component / cable of / currently implemented for / W7*_T]  
demonstrated by an example / finally reached / made equal to / %on9C`/  
equivalent to / more suitable to / oriented to / interpreted as / HTDyuqs  
pointed out / potentially of great benefit in the complex task of / b#p~F}qT  
shown in / used to effectively guide the search )iEa2uJ  
l makes use of 7~kpRa@\P  
l make up m0I #  
l meets the needs of real life production,/ the current demands MdVCD^B  
placed upon it e7XsyL'|p  
l must be justified {{.sEi*  
l point out .*EOVo9S  
l play an important role l:zU_J6  
l relates to x2j /8]'o  
l rely on  NVO9XK  
l satisfy the needs ?AV&@EX2C  
l determine the total requirements for the ... P"R97#C  
l uses ... as a key to search for... P Pwxk;  
l without relying on C.yY8?|  
l will be available/ performed/ overlooked gx!*O<|e4  
NOUN PHASE 1z})mfsh  
l a basic technical function of a%7"_{s1  
l a critical need l zfD)TWb  
l a key / principle feature of 1DEO3p  
l a substantial impact on ? %cn'=>ZI  
l an intensive review was conducted 6}VUD -}B  
l an increasing need for expanding the application of .... -"~L2f" ?  
l an important component / function / aspect / issue 8- dRdQu ]  
l each rule is numbered in sequence to99 _2  
l each of these involves RGT_}ni  
l for this calculation, it is necessary to define ? .c?Pu  
l in the physical environment / integration of Eyr5jXt%;  
*'Z-OY<V  
l in the reality of situations where … YHs ?QsP  
l many aspects of .cw!ls7d  
l most past efforts have been spent on ... ~?FK ; (  
l common sense to a well studied and documented technical field. Y3-]+y%l  
l sources of additional information on ... are listed wENzl XeOP  
l systematic and rationally structured format %z(9lAe  
l the basis on which a range of ...operations can be established is |n+ #1_t%  
shown jmkRP"ZnA  
l THE basic philosophy / principles of / key element / general q&u$0XmV  
hypothesis / candidate list of / concept of ... has attracted wide VVs{l\$=ZV  
interest / function is concerned with / heart / impact / nature / role fucUwf\_  
/ task of / kernel functions QZ?d2PC=>?  
l the number of parts needed to pp(H PKs=}  
l the above statement means that ;xL67e%?  
l the output data is passed to F vj{@B!  
l the proposed method / underlying principle &kb\,mQ  
l the recommendations made in this report, if implemented, should }.'Z =yy  
l this information resides in [u[ U_g*  
l this process is composed of ... different ... operation Z*9L'd"D|  
l along with the use of zEy&4Kl{+  
l concerning general aspects of mn. `qfMh  
l due to USprsaj  
l for later use in generating..., H- 185]7  
l in turn, ~]4kkm7Y  
l IT IS believed / noted / assumed / suggested / shown / quite f7Zf}1|  
evident / appears / implies that / intended for / of no important to yOc|*O=]U  
l it can be claimed/concluded that 90p3V\LO  
l it demonstrates the decisions required of 2\5cjdy  
l it also provides information to .. Z9xR  
l it becomes essential to l2(.>-#  
l let ... be the probability that mY`@'  
l once... is written, it is compiled into... sY W[O"oNi  
l suppose it is observed that ~Zmi(Ra  
l this is because YwXXXh  
K@ 6`-|I  
l this results in a tn{8u7  
l upon completion of the ... analysis, {S *!B  
l when the knowledge is of mathematics or quantum physics, it will y^G>{?Tha  
also be 7 5|pp  
recorded in books and papers UW/N MjK  
l selection of rules for using the tools, for generating operation q`[K3p   
plans, 8?1o<8hV  
is another matter of preference, since practice varies greatly. (f~gEKcB2u  
l for the sake of convenience a.DX%C /5  
l correct decision to be reach i b]vX-  
l keeping the number of rules to a minimum. \TUE<<?1s  
l a good process plan will result exhibiting several characteristics: f>z`i\1oO  
l practical solutions { 5-zyE  
l because of rather small job lot sizes  w;+ br  
l Backward reasoning can be used to answer the question "should x'qWM/  
milling tool be select" different level of knowledge in the realm of g4wZvra6%)  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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