英语论文写作常用经典句型 ~ o5h}OU"
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Beginning l,Ixz1S3e
1. In this paper, we focus on the need for hhOrO<(
2. This paper proceeds as follow. Zg!E}B:z
3. The structure of the paper is as follows. Rs 0Gqx
4. In this paper, we shall first briefly introduce fuzzy sets and related Umk ! m] q
concepts >@^j9{\
5. To begin with we will provide a brief background on the C#.d
sl
Introduction Yc
V*3`
1. This will be followed by a description of the fuzzy nature of the 79MB_Is]s
problem and a detailed presentation of how the required F}#=qBa[
membership functions are defined. qd?k#Gw&
2. Details on xx and xx are discussed in later sections. %:.00F([r
3. In the next section, after a statement of the basic problem, various (8.|q6Nww
situations involving possibility knowledge are investigated: first, an iI%"]- 0@1
entirely possibility model is proposed; then the cases of a fuzzy n!\&X9%[8
service time with stochastic arrivals and non-fuzzy service rule is *A
N2&>Y
studied; lastly, fuzzy service rule are considered. zDofe*
Review 7~ok*yG w
1. This review is followed by an introduction. M7n|Z{?(
2. A brief summary of some of the relevant concepts in xxx and xxx is Y<-dd"\
presented in Section 2. E@\bFy_!>b
3. In the next section, a brief review of the .... is given. 'B4j=K*
4. In the next section, a short review of ... is given with special regard l=<
:
to ... [.`#N1-@M
5. Section 2 reviews relevant research related to xx. ySwvjP7f
6. Section 1.1 briefly surveys the motivation for a methodology of c>RS~/Y
action, while 1.2 looks at the difficulties posed by the complexity of /S+gh;2OC
systems and outlines the need for development of possibility geu8$^
methods. g4^df%)&
Body t^qPQ;"=,
1. Section 1 defines the notion of robustness, and argues for its 9:tKRN_D
`7zNVYur8
importance. !jxz2Q
2. Section 1 devoted to the basic aspects of the FLC decision-making rTjV/~
logic. n
AJ<@a
3. Section 2 gives the background of the problem which includes xxx YS5 Pt)?
4. Section 2 discusses some problems with and approaches to, P=V=\T<4_
natural language understanding. ;yO7!{_
5. Section 2 explains how flexibility which often ... can be expressed )5U&^tJ
in terms of fuzzy time-window +[
944n
6. Section 3 discusses the aspects of fuzzy set theory that are used in 3g]
Sp/
the ... |:i``gFj
7. Section 3 describes the system itself in a general way, including cO"7wgg
the ….. and also discusses how to evaluate system performance. =MqefV;-
8. Section 3 describes a new measure of xx. nx >PZb
9. Section 3 demonstrates the use of fuzzy possibility theory in the eJrJ5mlI`
analysis of xx. .)>DFGb>H
10. Section 3 is a fine description of fuzzy formulation of human FXPw 5
decision.
p`3pRrER
11. Section 3 is developed to the modeling and processing of fuzzy t YmR<^
decision rules qmcLG*^,
12. The main idea of the FLC is described in Section 3 while Section 4 L
s=2!
describes the xx strategies. $gN1&K
13. Section 3 and 4 show experimental studies for verifying the 2rq)U+
proposed model. 3Q`F x
14. Section 4 discusses a previous fuzzy set-based approach to cost m1X0stFRs"
variance investigation. VGY#ph%
15. Section 4 gives a specific example of xxx. p-zWfXn!P
16. Section 4 is the experimental study to make a fuzzy model of `n]y"rj'
memory process. N&!qur \
17. Section 4 contains a discussion of the implication of the results of '~ 3a(1@8
Section 2 and 3. fMn7E8.
18. Section 4 applies this fuzzy measure to the analysis of xx and z6vRTY
illustrate its use on experimental data. _'k?9eN`
19. Section 5 presents the primary results of the paper: a fuzzy set EnJAHgRV;e
model .. m-lUgx7
1o7
pMp=
20. Section 5 contains some conclusions plus some ideas for further &>Q_
work. -Rhxib|<
21. Section 6 illustrates the model with an example. n`T
4aDm
22. Various ways of justification and the reasons for their choice are BlS0I%SN
discussed very briefly in Section 2. ul+
+h4N
23. In Section 2 are presented the block diagram expression of a P. P3/,
whole model !JjB,1
of human DM system >De\2gbJ
24. In Section 2 we shall list a collection of basic assumptions which FS r
`Y
a ... scheme must satisfy. v9Oyboh(y
25. In Section 2 of this paper, we present representation and KU
VsCmiT
uniqueness theorems for the fundamental measurement of fuzziness qtTys gv
when the domain of discourse is order-dense. NjVuwIm+
26. In Section 3, we describe the preliminary results of an empirical 2i#wJ8vrF
study LbtcZ)D!
currently in progress to verify the measurement model and to !SIGzj
construct membership functions. 59O;`y0
27. In Section 5 is analyzed the inference process through the two "g\
kinds of inference experiments... j|9;")
1
This Section to^ &:
1. In this section, the characteristics and environment under which L4'@f
MRP is designed are described. QfB \h[A
2. We will provide in this section basic terminologies and notations )H#Hs<)Qy
which are necessary for the understanding of subsequent results. 4aGV1u+4
Next Section Q <EFd
2. The next section describes the mathematics that goes into the 4s~YqP{K
computer implementation of such fuzzy logic statements. ',`iQt!Lx
3. However, it is cumbersome for this purpose and in practical BV$lMLD{r
applications the formulae were rearranged and simplified as 49~5U+x;
discussed in the next section. "8J$7g@n@
4. The three components will be described in the next two section, :#"gQ^YNp
and an example of xx analysis of a computer information system will zF.rsNY
eP|
:b &
then illustrate their use. (tP>z+
5. We can interpret the results of Experiments I and II as in the x:O
?Fj
following sections. Xdsd5 UUM
6. The next section summarizes the method in a from that is useful v&i M/pJU
for arguments based on xx 3/>McZ@OH
Summary 41mg:xW(J
1. This paper concludes with a discussion of future research /d9I2~}B
consideration in section 5. K&
<|94_k
2. Section 5 summarizes the results of this investigation. cfMj^*I
3. Section 5 gives the conclusions and future directions of research. uz".!K[,wE
4. Section 7 provides a summary and a discussion of some extensions HlBw:D(z:^
of the paper. n>)CCf@H
5. Finally, conclusions and future work are summarized v2G_p|+O
6. The basic questions posed above are then discussed and W`^'hka
conclusions are drawn. WmP"u7I4
7. Section 7 is the conclusion of the paper. .%<oy"_
Chapter 0. Abstract =\AI92
1. A basic problem in the design of xx is presented by the choice of a \eH~1@\S
xx rate for the measurement of experimental variables. 4K[ E3aA
2. This paper examines a new measure of xx in xx based on fuzzy *4Y1((1k
mathematics which overcomes the difficulties found in other xx 63QMv[`,
measures. [!,&A{.!
3. This paper describes a system for the analysis of the xx. SN(:\|f
2
4. The method involves the construction of xx from fuzzy relations. 6A;V[3
5. The procedure is useful in analyzing how groups reach a decision. Jm0P~E[n
6. The technique used is to employ a newly developed and versatile m"<0sqD;
xx algorithm. E#v}//
7. The usefulness of xx is also considered. w<
<>XIL
8. A brief methodology used in xx is discussed. H ifKa/}P8
9. The analysis is useful in xx and xx problem. K>l$Y#x}k
10. A model is developed for a xx analysis using fuzzy matrices. r
S\j9@=Y4
11. Algorithms to combine these estimates and produce a xx are S3EY9:^C
tisSj ?+
presented and justified. ci0)kxUBF
12. The use of the method is discussed and an example is given. a$yAF4HR<
13. Results of an experimental applications of this xx analysis s]50Y-C
procedure are given to illustrate the proposed technique. ^90';ACFy
14. This paper analyses problems in F{0Z
15. This paper outlines the functions carried out by ... Q[ kbEhv;
16. This paper includes an illustration of the ... )=;GQ*<8Zs
17. This paper provides an overview and information useful for SE.r 'J0
approaching z0+LD
18. Emphasis is placed on the construction of a criterion function by 7DDd1"jE
which the xx in achieving a hierarchical system of objectives are 1"YN{Ut;G
evaluated. n^B9Mh@
19. The main emphasis is placed on the problem of xx a$r-
U_?
20. Our proposed model is verified through experimental study. /2l&D~d"
21. The experimental results reveal interesting examples of fuzzy v/*}M&vo
phases of: xx, xx (hNTr(z
22. The compatibility of a project in terms of cost, and xx are likewise {L~j;p_G&
represented by linguistic variables. qmqWMLfC
23. A didactic example is included to illustrate the computational |a4cER.'2^
procedure |0ATH`{
Chapter 1. Introduction U;`C%vHff
Time waI?X2
1. Over the course of the past 30 years, .. has emerged form intuitive s|F}Abx,^
2. Technological revolutions have recently hit the industrial world fn.KZ
3. The advent of ... systems for has had a significant impact on the OL]P(HRm]~
4. The development of ... is explored X-LCIT|1
5. During the past decade, the theory of fuzzy sets has developed in a -fpe
variety of directions 0Dtew N{Z
6.The concept of xx was investigated quite intensively in recent years W*S}^6ZT`
7. There has been a turning point in ... methodology in accordance _PT5
with the advent of ... GT.1,E,Vw
8. A major concern in ... today is to continue to improve... dUN{@a\R0
9. A xx is a latecomer in the part representation arena. =mR~\R(
I
)X
|[jP
10. At the time of this writing, there is still no standard way of xx mi[t1cN)=
11. Although a lot of effort is being spent on improving these JfD-CoQS'
weaknesses, the efficient and effective method has yet to be fi%)520
developed. YI+ clh;%9
12. The pioneer work can be traced to xx [1965]. Q^\m@7O
:
13. To date, none of the methods developed is perfect and all are far u7&q(Z&&O
from ready to be used in commercial systems. #[f]-c(!
Objective / Goal / Purpose {p\ll
1. The purpose of the inference engine can be outlined as follows: /H4Z.|@
2. The ultimate goal of the xx system is to allow the non-experts to e!W U
utilize the existing knowledge in the area of manual handling of loads, umT *
and to provide intelligent, computer-aided instruction for xxx. K|pg'VT"
3. The paper concerns the development of a xx r>: ~!o*
4. The scope of this research lies in >``sM=W at
5. The main theme of the paper is the application of rule-based "QD>m7
decision making. 3rVfBz
6. These objectives are to be met with such thoroughness and YMN=1Zuj?
confidence as to permit ... NSawD.9mV
7. The objectives of the ... operations study are as follows: I
i9[[I
8. The primary purpose/consideration/objective of u6nO\.TTtY
9. The ultimate goal of this concept is to provide \sBXS.
10. The main objective of such a ... system is to '-U&S
11. The aim of this paper is to provide methods to construct such _aeIK
probability distribution. 2FR+Z3&z
12. In order to achieve these objectives, an xx must meet the +GJPj(S
following requirements: >?Duz+W)
13. In order to take advantage of their similarity {J1iheuS}
14. more research is still required before final goal of ... can be 7fI2b,~
completed
@Jx1n Q^
15. In this trial, the objective is to generate... 7u{V1_n1
16. for the sake of concentrating on ... research issues Fc#Sn2p*
17. A major goal of this report is to extend the utilization of a recently E!'6vDVC:
developed procedure for the xx. G6QD`ED
ZIKSHC9
18. For an illustrative purpose, four well-known OR problems are k".kbwcaF
studied in presence of fuzzy data: xx. QM![tZt%;
19. A major thrust of the paper is to discuss approaches and o$eo\X?J?
strategies for structuring ..methods O\CnKNk,
20. This illustration points out the need to specify ^,0Lr$+
21. The ultimate goal is both descriptive and prescriptive. RIQ-mpg~(k
22. Chapter 2. Literature Review /oW]? 9
23. A wealth of information is to be found in the statistics literature, 6DU~6c=)
for example, regarding xx r<'DS9m
24. A considerable amount of research has been done .. during the ~`Rar2%B
last decade YA@MLZm
25. A great number of studies report on the treatment of cnS;9=,&
uncertainties associated with xx. 81"` B2
26. There is considerable amount of literature on planning LPBa!fq
27. However, these studies do not provide much attention to d)S`.Q
uncertainty in xx. Ml$<x"Q
28. Since then, the subject has been extensively explored and it is Fsm6gE`|n
still under investigation as well in methodological aspects as in ~+j2a3rv-{
concrete applications. MT"&|Og
29. Many research studies have been carried out on this topic. #bBh. ^
30. Problem of xx draws recently more and more attention of system }NoP(&ebz*
analysis. PxgJ7d
31. Attempts to resolve this dilemma have resulted in the [al$sCD]+
development of WPkKbF
32. Many complex processes unfortunately, do not yield to this z~X
/.>
design procedure and have, therefore, not yet been automated. g9q}D-
33. Most of the methods developed so far are deterministic and /or CvmIDRP*
probabilistic in nature. SOq:!Qt
34. The central issue in all these studies is to t))MZw&@
35. The problem of xx has been studied by other investigators, v+"4YIN
however, these studies have been based upon classical statistical yw$4Hlj5
approaches. PBnH#zm
36. Applied ... techniques to m)} 01N4
37. Characterized the ... system as iX6>u4~(
|bz%SB
38. Developed an algorithm to \?>M?6D
39. Developed a system called ... which i4,p\rE0
40. Uses an iterative algorithm to deduce y7M{L8{0
41. Emphasized the need to 4[@YF@_=M
42. Identifies six key issues surrounding high technology EC;
>-s
43. A comprehensive study of the... has been undertaken vo`&
44. Much work has been reported recently in these filed ?' .AeoE-
45. Proposed/Presented/State that/Described/Illustrated/ 1'\QD`M9^
Indicated/Has shown / showed/Address/Highlights @2/|rq
46. Point out that the problem of 3}<U'%sd
47. A study on ...was done / developed by [] Bj1%}B
48. Previous work, such as [] and [], deal only with vUJ;D
49. The approach taken by [] is /T)E&=Ds
50. The system developed by [] consists 0o=HOCL\
51. A paper relevant to this research was published by [] 7bzm5w@v
52. []'s model requires consideration of... 6sSwSS
53. []' model draws attention to evolution in human development 4MzQH-U>/
54. []'s model focuses on... ~2"hh$
55. Little research has been conducted in applying ... to GYfOwV!zB
56. The published information that is relevant to this research... P[WkW#
57. This study further shows that &bW,N
58. Their work is based on the principle of l,7&
z
59. More history of ... can be found in xx et al. [1979]. kun/KY
60. Studies have been completed to established SlG v
61. The ...studies indicated that R
J{$`
d
62. Though application of xx in the filed of xx has proliferated in ;Zd_2
CZ
recent years, effort in analyzing xx, especially xx, is lacking. +:.Jl:fx4
Problem / Issue / Question e{5?+6KH
63. Unfortunately, real-world engineering problems such as qh~bX
i!
manufacturing planning do not fit well with this narrowly defined D=-}&w_T"
model. They tend to span broad activities and require consideration Q?k*3A
of multiple aspects. TlS? S+
64. Remedy / solve / alleviate these problems :+ ,;5
67. ... is a difficult problem, yet to be adequately resolved b&U1^{(
z%YNZ^d
68. Two major problems have yet to be addressed a:)FWdp?9
69. An unanswered question H2s:M
70. This problem in essence involves using x to obtain a solution. HY)xT$/J
71. An additional research issue to be tackled is .... ! I@w3`
72. Some important issues in developing a ... system are discussed ST*h{:u&A
73. The three prime issues can be summarized: fHup&|.
74. The situation leads to the problem of how to determine the ... )hZ7`"f,ZN
75. There have been many attempts to %e E^Y<@g
76. It is expected to be serious barrier to d.wGO]"
77. It offers a simple solution in a limited domain for a complex /MF
7ZvN.
problem. c@t?R$c
1. There are several ways to get around this problem. #d-({blo<
2. As difficult as it seems to be, xx is by no means new. ~rb0G*R>
3. The problem is to recognize xx from a design representation. X.fVbePxUU
4. A xx problem can trace its roots to xx. ^PZ[;F40
5. xx [1987] used a heuristic approach to simplify the complexity of PM\Ju]
the problem. FU3K?A
B
6. Several problems are associated with them. +F;2FD$
7. Although some progress has been made in this area, at least two QtW9!p7(
major obstacles must be overcome before a fully automated system ]RCo@QW
can be realized. t?GH
V3V
8. Most problems in practice are complicated {[H_Vl@
9. More problem surface here. g&$=Y7G
10. Hamper effort toward a xx system _?c.m*)A
11. In order to overcome the limitations due to incomplete and }'oU/@yG
imprecise xx knowledge, a xx program has been developed, which C%o|}i v"
bases its knowledge upon the statistical analysis of a sample -zg*p&F
population of xx Lw>B:3e
12. The above difficulties are real challenges faced by researchers }t)+eSUA
attempting to develop .vu7$~7
13. This type of mapping raises no controversy to the issue of /q9I^ ztV
membership function determination. f;e#7_
14. However, attempts to quantify the xx have met both theoretical C]L)nCOBX
and empirical problems. )CFJXc:
A!lZyG!3
15. It has become apparent that in order to apply this new Af|h*V4Xu
methodological framework to real-world problems and data, we have v
vErzUxN
to pay attention to the problems of xx and xx. (?qCtLZ
Chapter 3. Proposed methodology ytcLx77`:
Assumption m%|\AZBA#
1. In the case when the assumption of a xx seems to be too %K Q1{"
restrictive or inadequate, the formulation with Fuzzy termination ,P~e)<.
time, i.e. given by a fuzzy set in the space of control stages, may be I-#!mFl
applied. 4:V
+>Jt
2. We assume here the fuzzy constraints to be state-dependent, and *l_a=[<[
the fuzzy goal to be the same for all the control states, xx, which % S312=w
stems from the problem's nature. P
y'BMk
3. An approach to the solution of this problem is presented under the 4&*lpl*N
assumption that the sampling rate Decision can be made prior to the ZX_QnSNZ?
execution of the experiment, as opposed to being made while the } 9@rhW
experiment is in progress. {\$S585
4. Another assumption made above is that there are precise odds at t#(NfzN
which the expert is indifferent. Y9abRrK
5. Main simplifying assumptions are: neEqw+#Z
6. This, in our view, is a questionable assumption. SzLlJUV X
Outline / Structure / Module %pZT3dcK
1. An outline of the research fN9{@)2Mz
2. Information is incorporated within the scheme UN?tn}`!
3. Is built into ... structure ]yOM
4. A nice modular structure. 6C$+D
5. The principles of ... are applied as modularized criteria HVM%B{(
Classification /
qQx~doK
1. A xx system comprises three main components: ic G 9x
2. Must decompose the original .. into a set of .. wU%uO/sU9
3. Consists of the following steps: tN{0C/B9
4. This is summarized in the following steps: H [+'>Id:
;8H&FsR
5. Can be broadly classified into the following areas: VmQ^F|
{
6. Can be characterized by its function of effectively processing the hx^@aI
7. Can allow further breadth of application of ...into more P.(UbF d'
8. The following steps should be followed ,IiKe_B
9. xx can be classified by a different ways. X[J<OTj`$
10. Based on the xx, one may classify xx into the following: 1=]#=)+
11. This catalog may change due to wear, breakage, and purchasing. PCCE+wC6
System ejg!1*H@n
1. Unlike many conventional program, expert systems do not B)k/]vz)*D
usually deal with problem for which there is clearly a right or wrong T:j41`g%s
answer. 2-S}#S}2C
2. The system consists of both ... and ... ufR|V-BWx
3. The system has a hierarchical modular architecture organized on #W:.Fsq
three levels. #cR5k@
4. expert system domains are area of expertise ;4+z~7Je]^
5. To develop a xx system for xx, the following factors must be T c-fO
/0
considered: V xN!Ki=
6. The system has been developed / designed to determine Q8TR@0d
7. The system has proven to be able to 319 4]
8. The domain in which an expert system operates is a particular @>`N%wH'
domain 6heK8*.T
9. The system comprises a ... with @V4nc
'o.
10. The system is [feature-oriented ] / based on the ... technique 25G~rk
lk
11. The system environment must be relatively stable NX8w(~r,:
12. The system is utilized to generate, load, store, update and #E4oq9{0*W
retrieve ... 6/a%%1c1
13. The development of a xx system has two stages: xx stage and xx B"7~[,he
stage. Xk^<}Ep)c
14. The most essential part of .. system is the ... 1\TkI=N3
15. The successful developments in ESs have made them an c3fd6Je5
important tool in the development of * R&77 o7
16. An automated system was developed for D<Z\6)|%I
17. In this case, the system can be considered to be generative. Y(JZP\Tf_N
} BP.t$_
18. An interactive automatic ... system p,4S?cr>a
19. A …. is commonly thought of as a truly integrated .. system yrzyus
20. Should be capable of being generated from a ... system %z1hXh#+
21. xx is an important part of the integrated system. f]+.
i-c=
22. The model consists of four rule bases, each of which addresses a qE^u{S4Z@
separate problem in the hierarchy of scheduling decision. Lz-(1~o
23. The rule bases are linked to each other in a chin-like manner in Kt#X'!9/<
the sense that the consequent of one rule base constitutes a part of 6%VRQ#g!
the antecedent of the next rule base. <l)I%1T_c
24. The rule base consists of all possible combinations of the o<S(ODOfi
linguistic terms associated with the linguistic variable of the =rNI&K_<
antecedent of a rule. w=
"
Computer System %Y].i/".;P
1. The system has been implemented using Prolog language in an B?XqH_=0L
MS-DOS environment. Prolog was chosen because it offers a well }
AHR7mu=
known and flexible environment in which fuzzy reasoning may be ~
Q;qRx
easily implemented. 'k$j^|r>
2. The current version of the xx program when compiled with DTV"~>@
WATFOR77 results in an executable code of about 270K bytes. Gy[m4n~Z5
Typical run time, when run on a XX computer (an IBM compatible BG20R=p
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min gM#]o QOGE
to 2h, depending on the size (or complexity) of the problem. dBp)6ok#c
3. Time consuming procedures have been implemented in y}lqF8s
C-language and directly linked to the Prolog environment. :'gX//b):
4. The xx process, once the xx's data has been entered, requires G
C3G=DTt
approximately 180 seconds. U{.y X7
5. It should be noted that the computation was done with a 20 Hhz, #ruL+-8!<
80386..209;based microcomputer equipped with a 80387 math w`K=J!5y2g
co-processor. 7%^/Jm
6. The computer programs used for the analyses, one based on the xx LZ*ZXFIg
method and the other based on the new method, were written in vZt48g
FORTRAN with a compiler that supports the math co-processor. ;l=ZW
7. Lisp, Prolog give maximum flexibility but also maximizes (E?X@d iu
EJ`"npU
development time. >FM2T<.;
l Internal representation is the way a model is represented in the qm=N@@R&
computer. pbePxOG
l An interactive menu-driven procedure is used in this study <2>Qr(bb
l Shell can be develop very fast at the cost of time fairly severe Z |CL:)h
limitations. mXXU{IwUe
l While there is no measurable saving of time for the case involving w0L+Sj db
five criteria, the saving is dramatic for the case involving 10 criteria [kyIF\0
-- the computation time reduces from 10 hr 40 min to about 1 min. o79EDPX
l This combination is being implemented in an objected-oriented `8D}\w<eI
programming environment (Smalltalk-80 system) to solve problems z8\z`#g!
encountered in construction xxx. 3=~0m
Method / Approach / Study / Process Model / Equation /Algorithm / j>-O'CO
Rule / Formula / Technique wXnluE
l A discussion is presented of a problem-solving system ]3iQpL
l To improve the efficiency of the method, the following approach zBTyRL
l
may be applied. &;]KntxB
l In order to an investigation was made to find the causes of the UiLiy?EJ
l Although large collections of rules and equations have been B6#^a
complied, none are generally accepted )tW0iFY
l This approach will be explained and discussed thoroughly in the I c 2R\}q
body of the report. .>Fy ]Cqoh
l This can be accomplished by <UC_QPA\
l This algorithm to compute the total cost can be described step by 6wY6*R
step as follows: ,`O.0e4pn
l The above preliminary analysis has provided important lqoJ2JMy
information Qaeg3f3F3
l Various methods have been proposed for selecting an optimum... H%z9VJ*!0
l These concepts have been applied to ]n9gnE
l On the basis of the concept mentioned above, >`(]&o6<$
l This can be achieved by $]t3pAI[H0
l This fact suggests that a new concept O4.`N?Xq
l This was accomplished by taking ... r#X6jU
g/f^|:
l The preparatory stage is very time consuming process. ]oIP;J:&
l Test are performed for validity, completeness, and compatibility @&xWd{8'
l There is little hope of achieving successful ... '`nf7b(
l There has been an increasing awareness of the potential of using z
iTE*rNJ
most ..so far made have not taken this approach, with the exception BDiN*.w5
of /fDXO;tN
l Only a few studies can be found. +Cg[!6[#
l It is a very tedious process to go through fDD^?/^
l It is only when .. has been completed that .. may be effected *P0sl( &
l The entire interpretation process is conducted in one's head. PyQ
P K,
l These approaches are sometimes very tedious. * ,#SwZ
l Several techniques can be used #)b0&wyW6i
l A polynomial parametric model can be written as [the
mP[Z lS~"
following]/[follows]: q)rxv7Iu\
l A xx model is constructed/formulated using xx. &X&msEM
l A xx model represents an xx by its xx. C=,O'U(ep
l A process decision model captures the logic essential to R.P|gk
l From the equation above, xx is equal to the summation of xx 1}ER+;If
times the ... g
?OC-zw
l The validity of a xx model can be checked using Euler's formula. /k^!hI"4c
l Given a model, one can mathematically determine whether ... or ... -a\[`JHi
l Equations for xx need to be derived and implemented in the h}&1
7M
system. Tx:S{n7&
l A number of heuristic rules have been developed for A(6n- zL
l Optimum .. techniques can be made more reliable by ... so that fq4[/%6,O
l An algorithm based on the characteristic ... is used to determine w
tSX(LNY
l Euler's formula states the following: mZ0'-ax
l The completed model should agree with the formula. aaRc?b'/
l For manufacturing purposes, a detailed and precise model of the B:rzM:BQ
object is necessary g(QT"O!dY
l Engineering design models are very well defined; therefore, 7&w$@zs87
l To keep the domain narrow enough to be implementable, yet wide , .]1N:
enough to #M@Ki1
be useful. \$W\[s
4I
w{89@ XRC
Point of View Z# o;H$
l from an implementation standpoint, S'}pUGDO
l From the point of view of this application, " 3tk"#.#
l From this point of view, Zadeh suggested an inference rule named w42=tN+B
xxx (CRI for short). Xv2Q8-}w
l Information is the meaningful interpretation and correlation of V(wANvH
some aggregation of data in order to allow one to make decisions. 1+v!)Y>Z&
l From a practical point of view, the computational aspects of an
[yx8?5
FLC require a simplification of the fuzzy control algorithm. @FaK/lKK
l The use of a hammer to insert screws, although partly effective, 0P l>k'9
tends to distort, destroy, and generally defeat the purpose of using a LXS)(-&
screw [Kusiak AI Implications for CIM p.129] 6H^=\
Justification ;5&=I|xqe
l We choose the so called xx in our experiment because it has 2g
HRfTF
received wide acceptance and can )R6-]TkA_
l Prolog was chosen because it offers a well known and flexible 71G\b|5
environment in which fuzzy reasoning may be easily implemented. cP^c}e*;NS
l The rationale behind this is that it can be much easier for an qQp;i{X
estimator to rate a cost as high than to attempt to place a dollar P2fiK
value on the estimate. J936o3F_
l This strategy has been widely used in fuzzy control applications EI8KK o *
since it is natural and easy to implement. a St:G*a"
l A function definition expresses the membership function of a &~V6g(9
fuzzy set in a functional form, typically a bell-shaped function, etc. X86r`}
Such functions are used in FLC because they lead themselves to bkS-[rW
manipulation through the use of fuzzy arithmetic. l#& \,T
l It should be noted that in our daily life most of the information on j2s{rQQ
which our decisions are based is linguistic rather than numerical in \pVNJy$`<
nature. Seen in this perspective, fuzzy control rules provide a natural cv"Bhql
framework for the characterization of human behavior and decisions &0RKNpwg
analysis. @y8)
"m"
l Many experts have found that fuzzy control rules provide a _18Aek
:aR_f`KMm
convenient way to express their domain knowledge. This explains {r?+PQQ#
why most FLCs are based on the knowledge and experience which
]iry'eljy
are expressed in the language of fuzzy "if-the" rule. nK6(0?/
Chapter 4. Examples ~(}nd
Example/ Data |Ge!;v
l The data used in the following example was taken from an +6s6QeNS8
experiment in which xx was measured between x and x using a xx B4{F)Zb
technique. ~\u~>mtchu
l The data consists of over xx measurements. =U}!+ 8f
l An example of xx is discussed and the control rules of xx are +\RviF[+
compared with a xx &H/3@A3
l Examples of complex processes to which this technique may be Rts.jm>[
applied are xx, xx, etc. GRAPv|u9[
l The following example is constructed only for the purpose of ~Gh9m]b
illustrating the computational procedure discussed. C,$7fW{?
l This example clearly demonstrates that the profile of an individual VKu|=m2vB
xx, or a very small group of xx, with no enough data to be studied qv
8B$}F U
statistically, can be meaningfully analyzed by fuzzy possibilistic ' pfkbmJ
methods. f<vZ4 IU
l There is no space here to go into detail on all these methods, but UVD*GsBk
deserve a mention and the bibliography will point to detailed y-_IMu.J`
references for those wishing this level of detail. ;eC8|
Xz
l Note that the golf ball spotting example is used throughout the K QCF "
paper. }8Nr.gY
Comparisons ,@aF#
l As well, the pros and cons of these representations from a process
LDdgI
planning point of view will be discussed. cD9.L
l The method of using xx to implement xx described by Zadeh C:RA
(
(1973) appeared more suitable .F@ 2C
l As discussed [in the previous section]/[preciously], J'*`K>wV
CPJ%<+4%b
Relation bl[2VM7P
l We can not invert F' directly because it defines a many-to-one mBDzc(_\$'
mapping. Ex5LhRe>=
l The relationships appear very complicate ),I g u
l Lifting tasks involve complex and imprecise relationship between ADB,gap
the task variables and the human operator's characteristics. )odz/\9n3c
l These methods are based on the relationship between ... and ... afye$$X
l The fundamental concept of a fuzzy rating language is that we can T*rz#O
establish a relationship among terms such as high, medium, and low, '19
kP.
and then modify these relationships. QVe<Z A8N;
l This article will thus mention the latter as well as the former. T26'b .
l The former two bear a close relation to a fuzzy Cartesian product. d8VFa'|
Importance iM~qSRb#mJ
l The emphasis is on an implementation of a general approach to >uJU25)|
rule based decision making. s:^Xtox/
Consideration / Attention 6eW9+5oL
l Careful evaluation is necessary to ensure Go PK. E$
l Such a formulation does not change further considerations. G,X
UMZ
l Considerable attention has been paid to W=2#Q2)
l Attention should be paid to an important finding of this <Gz* 2i
investigation. F`57;)F
l Caution should be exercised in this process to avoid ... k];fQ7}m<0
l Primary consideration is given to ... components, though others Q=#Wk$1.
can be accommodated c6LPqPcN
l After ... has been defined by ..., a carefully analysis is carried jiP^Hz"e
out/performed to determine o_PQ]1
l A number of factors such as ...need to be taken into consideration >RXDuCVi
before making the appropriate decision. / a$B8,
l It should be noted that z`Xc] cPi
l It is important to point out that ... IvM>z03
l These considerations have heightened interest in the possibility of TTz_w-68
providing ... c)zwyBz
zOMU&;.\
l We should stress the fundamental importance of the xx AmBLZ<f;
Chapter 5. Results. N6!$V7oT
Advantages / Disadvantage bw OG|\
l One of the major advantages of this new measure of xx is that it N@\`DO
can be applied to the experimental study of =yLJGNK[
l One advantage of using a .. is the ease of preparing it. $mF9os-
l The xx system is versatile WS1#i\0
l It has a very fast decision making process CF/8d6}Vf
l All the algorithms involve mostly logical operations. 4_h?E:sBb
l It can be easily and without additional cost implemented in a S"Drg m.
microprocessor-based environment.
U].3vju`c
l It can reduce the waste of designing from scratch. YUQKy
2
l The advantages of using a xx to represent xx are the following: N_f>5uv
l However, xx is not without its shortcomings. |Q*{yvfEo
l In most cases, the xxx shows an improvement over the existing OsNJ;
B
xxx. d2O x:| <)
l Compared to the existing xx, the impacts of the xx are generally ++Fk8R/$U[
reduced by 5% to 9%. Q a3+ 9
l The "best case" results shows a savings of 6% to 9%. \Qei}5P,
l Most of the existing works based on xx approach can only lIgAc!q(
recognize a xx . E{}Vi>@V?
l Most of the above methods are computational expansive and )UAkg
limited to xx. u]s}@(+.
l Some other advantages of xx are the following: MUvgmJsN
l The problem is the limitation of this method to a limited domain of R6-Z]Hu
parts. {V5eHn9/Q'
l It proved limited in application because it demanded precision in TqTz
system modeling that was impossible in practice. ::2(pgH
l There are advantages to be gained in the structuring of costs and esK0H<]
benefits, the use of xx, )9z3T>QW
l The disadvantages of this method are also disadvantages of >
0.a#-u^
conventional xx approaches. p
_q
]Rt
IHvrx:7
l This combines the best features of both techniques n0tVAH'>
l Hopefully, this tool can be as the reference framework of for 6tv-PgZ
developing a xx platform, and helping the administration, marketing, )_\q)t"=
and knowledge management activities in virtual communities. >!%F$
$
Results I#9q^,,F
l An improvement on the result shown above can be made by based /'Q2TLy=
on the data provided &M*f4PeXb
l Discussion of these theories is beyond the scope of this review Bd>a"3fA
l Based on the information contained in this U['|t<^uf
l The result can be categorized into nine classes jC_m0Iwc
l The results are illustrated by an example D=:O^<
l The experimental results for each xx time are reported in Table 2. C7xmk;c
w
l From the results obtained so far, it seem that 5Z
a%EaW%G
l Because of the inaccuracy of the ..., a conclusion cannot be drawn raCgctYVq
as j-9Zzgr
l Although much effort has been made to., this reality is far from JpC_au7CX
completion. tl+
9SBl
l The results indicate that the total benefits are higher than the W+u-M>Cj6
total costs. YK%rTbB(
l Their results may then serve as guidelines for lower level models, yrQfPR
less fuzzy and more detailed. vfloha p
Chapter 6. Conclusion MeW?z|x`'
l From the discussion, one may conclude that ... #8@o%%Fd
l Form the above discussion, the conclusion can be reached that w'7=CzfYn
l The conclusions drawn are also valid ^vha4<'-qG
l In conclusion to this, it becomes obvious that the problem of xx 4rrR;V"}
lies not only in... =SVb
k
l We have attempted to introduce some concepts associated with a #dDM
"s
theory of O#?@'1
xx based on fuzzy sets. z#^;'n
nw
l Considerable more work, hopefully, will be done in this area ug^esB
l A fuzzy set procedure is proposed to solve xx selection problems f[wxt n'r
QJ2D C
interwoven with imprecise data DhD^w;f]
l Employing the compositional rule of inference, the assessment of }No8t o
the xx compatibility in achieving prescribed xx projectiles in any
{[dY$
level of the hierarchy is made possible. ip!-~HNwJ
l This paper has presented a theoretical and experimental study of -{A*`.[v
the xx process and xx concept. Z7p!YTA
l The experimental research results will hopefully serve as useful uF+0nv+
feedback information for improvements for xx work. pD;fFLvN
l The scope of this contribution was to introduce a xx method. .I.B,wH
8
l In general, fuzzy sets theory provides an alternative foundation lRR A2Kql
for xx analysis in a fuzzy environment. Y`rl
i
Future Research u(i=-PN_<
l Thus, first extension of the approach could be, v1z
d[jqk
l Present some cues for a further approach from Fuzzy Sets Theory Q2[;H!"
application to GglGFXOL-
l Some improvements to the scheduling aspect of the model may n x{MUN7
be brought through additional levels in the hierarchy for more wKKQAM6P1
detailed representation of the scheduling activity. <QD[hO^/
Tables and Figures @Gt.J*!s/
l Figure 7-1 sketches these relationships. e,
fZ>EJ
l The graphical representation of these functions is shown in Figure -5JN`
1. %77uc9}
l The xx may be depicted as in Figure 1. 9{
#5~WP
l Figure x shows the schematic diagram of the }(7TiCwd
l Figure 1 though 2 provide a ... that +lxjuEiae
l the architecture of this expert system for .... is illustrated in Figure 8OiCldw:HN
2.
M.+h3<%^
l Figure 2 gives the outline of an ... system xpc{#/Nk
l Table shows the uVTacN%X
l as shown in Table 1 and 2 fUr%@&~l^
l This concept is illustrated in Figure 2 [+Fajo;0
l At the top of Table xx are shown two blocks of data. W^)mz,%x
)Xa_ry7
l Each table or matrix has constructs xx through xx as Ho =vdB
row-headings, Up6OCF
xx through xx as column-headings. FPH2dN
l A table of .. is developed and significant recommendations are QO^V@"
N
made. \Y>b#*m(4
CONJUGATION .]s? 01Z
To Indicate Addition (Ldvx_
l additionally, again, also, and then, as can be easily understood, 1wFW&|>1
besides, equally important, especially, finally, for the same reason, A*~G[KC3(
first, further, furthermore, in addition, last, likewise, moreover, next, YC')vv3o(
second, third, too, evidently, obviously, roughly speaking, broadly /QWXEL/M=
speaking dNhbv
zl(
To Indicate Cause and Effect L""ZI5J{F9
l accordingly, as a result, consequently, for this reason, hence, in IT{c:jo1{`
short, otherwise, then, therefore, thus, truly cc3B}^@p=
To indicate Comparison #/o~h|g
l in a like manner, likewise, similarly , alternatively W=3#oX.GsU
To Indicate Concession _ xTpW
l after all, although this may be true, at the same time, even though, n~]"sTC}&
even so , I admit, naturally, of course _cE_\Ay
To Indicate Contrast 1G7l+6w5~^
l and yet, at the same time, but, for all that, however, yet, in fact, in :L@n(buRN
contrast, in the real life, in spite of, nevertheless, notwithstanding, fLqjBG]
<
normally, on the contrary, on the other hand, still, traditionally, #>("(euXMF
rather, unfortunately, NLK
1IH#
To Indicate Time Relationships: jLM([t
after a short time, afterwards, as indicated earlier, as long as, as soon z=) m6\
C\;l)h_{
as, at last, at length, at the moment, at that time, at the same time, rR :ZTfJs"
before, earlier, currently, immediately, in the meantime, in recent v@tEHRadz
years, lately, later, meanwhile, often, of late, presently, recently, |Z94@uB
soon, shortly, since, thereupon, temporarily, therefore, until, when, >5#}/G&
while $8rnf
To Indicate Special Features or Examples: nAWb9Yk
for example, for instance, incidentally, indeed, in fact, in other words, ^h$*7u"^y
in particular, in practice, specifically, that is, to illustrate, in this l=
p_
respect, theoretically, as mentioned before / above P%lD9<jED
To Indicate Summary: d\nXK#)Q
in brief, in conclusion, in short, in summary, on the whole, to
?bVIH?
conclude
,AweHUEn
, in general, to summarize, to sum up, as a result, ultimately, uR
:EH.K
VERB PHASE V%s7*`U
l build a .. model ioD8-
l build up the key link XDJE]2^52?
l began a new era in ... U
%s@np
l can be regarded as / achieved / used to/for / found / obtained +4_, , I
through zP%s] >hH
l can result in G|f9l?p
l carries out ... tasks &&9|;0<
l production information in order to simultaneously ,{HQKHg
l contains all information necessary to describe b(GV4%
l do not make use of production information zp;!HP;/=
l deals with r[i^tIv6As
l end with failure $ ubU"
l fetch the information from the model directly v#qd q!64
l has great potential / yet to be resolved / spurred the qx5`lm~L
development of / |T""v_q
been recognized as g=$U&Hgs
l BE aimed at / built up / carried out by / essentially concerned GLtd<M"
n8<?<-2
with / considered to be the key technology / associated with each
d j\Z}[
feature of a compo T<pG$4_
site component / cable of / currently implemented for / Ahw
i
demonstrated by an example / finally reached / made equal to / tJ6@Ot
equivalent to / more suitable to / oriented to / interpreted as / s;9Du|0f^
pointed out / potentially of great benefit in the complex task of / 4tZ *%!I'
shown in / used to effectively guide the search B>L7UQ6_[
l makes use of 88osWo6rG
l make up ,XO@ZBOM
l meets the needs of real life production,/ the current demands xc#t8`
placed upon it p3U)J&]c6
l must be justified SUUNC06V
l point out c9-$^yno
l play an important role =8T!ldVxES
l relates to 1 jidBzu<
l rely on 58s-RO6
l satisfy the needs 4]U=Y>\Sr
l determine the total requirements for the ... _U^[h !
l uses ... as a key to search for... d^}p#7mB\
l without relying on (kLaXayn
l will be available/ performed/ overlooked #-'`Ybw
NOUN PHASE [;z\bV<S
l a basic technical function of !l
$d^y345
l a critical need Czjb.c:a.Y
l a key / principle feature of d%8n
l a substantial impact on $t;:"i>
l an intensive review was conducted 'v]0;~\mp>
l an increasing need for expanding the application of .... ;l
*%IMB
l an important component / function / aspect / issue PeIx41. +s
l each rule is numbered in sequence h =A
l each of these involves .2E/(VM
l for this calculation, it is necessary to define <_xG)vwh.
l in the physical environment / integration of >N |?>M*
qf x*a88
l in the reality of situations where …
M1/d7d
l many aspects of m%[e_eS
l most past efforts have been spent on ... (.:*GUg
l common sense to a well studied and documented technical field. lJdBUoO
l sources of additional information on ... are listed X9Ch
(nWX
l systematic and rationally structured format =>;&M)+q
l the basis on which a range of ...operations can be established is r%=-maPL[
shown 2GptK"MrD
l THE basic philosophy / principles of / key element / general cHvm
hypothesis / candidate list of / concept of ... has attracted wide b{<?E };%
interest / function is concerned with / heart / impact / nature / role -hXKCb4YU
/ task of / kernel functions E]mm^i`|
l the number of parts needed to \
\k=N(n
l the above statement means that Lk !)G'42
l the output data is passed to V?M(exN
l the proposed method / underlying principle A08kwYxiW
l the recommendations made in this report, if implemented, should M(a%Qk?]/
l this information resides in 9G/!18 X?f
l this process is composed of ... different ... operation $2a"Ec!7
l along with the use of ]6e(-v!U
l concerning general aspects of r?/Uu
&
l due to u!K1K3T6k
l for later use in generating..., ^VXhv9\>B
l in turn, zFjz%:0
l IT IS believed / noted / assumed / suggested / shown / quite p^8a<e?f~f
evident / appears / implies that / intended for / of no important to >:-e
l it can be claimed/concluded that vaB ql(?'2
l it demonstrates the decisions required of S~3|1Hw*tN
l it also provides information to .. 7FE36Ub9
l it becomes essential to (\F9_y,6*\
l let ... be the probability that tczJk1g}
l once... is written, it is compiled into... ]Kt@F0U<o
l suppose it is observed that q}t]lD
%C
l this is because (p5q MP]
L
gML8lu0)
l this results in a 1b~21n
l upon completion of the ... analysis, p-iFe\+
l when the knowledge is of mathematics or quantum physics, it will Z^> 4qf,k
also be
$eFMn$o
recorded in books and papers j,.M!q]
l selection of rules for using the tools, for generating operation G?}?>
O
plans, Dz0D ^(;V
is another matter of preference, since practice varies greatly. v":q_w<k
l for the sake of convenience RH FRN&RU$
l correct decision to be reach {d.z/Buu
l keeping the number of rules to a minimum. ,1{qZ(l1
l a good process plan will result exhibiting several characteristics: ui>jJ(
l practical solutions W/,bz",v3
l because of rather small job lot sizes Odo)h
l Backward reasoning can be used to answer the question "should +E</A:|}S
milling tool be select" different level of knowledge in the realm of @/:4beh
process planning