英语论文写作常用经典句型 mL+ps x+
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A;PV,2|X
Beginning Y?x3JU0
_
1. In this paper, we focus on the need for
~C+T|
2. This paper proceeds as follow. dksnW!
3. The structure of the paper is as follows. 8a1{x(\z.
4. In this paper, we shall first briefly introduce fuzzy sets and related d4tVK0
~
concepts wDzS<mm
5. To begin with we will provide a brief background on the I.x>mN-0
Introduction \!Pm^FD
.
1. This will be followed by a description of the fuzzy nature of the |ESe=G
problem and a detailed presentation of how the required #4?3OU#
membership functions are defined. H6QQ<~_&
2. Details on xx and xx are discussed in later sections. eP8wTStC
3. In the next section, after a statement of the basic problem, various -#h
\8X
l
situations involving possibility knowledge are investigated: first, an 0jq#,p=l;
entirely possibility model is proposed; then the cases of a fuzzy i[swOYz]X
service time with stochastic arrivals and non-fuzzy service rule is UlR7_
studied; lastly, fuzzy service rule are considered. Q&7Qht:ea:
Review 5sRNqTIr
1. This review is followed by an introduction. /V~(!
S>
2. A brief summary of some of the relevant concepts in xxx and xxx is [ q}WS5Cp
presented in Section 2. dx#N)?
3. In the next section, a brief review of the .... is given. TzjZGs W[V
4. In the next section, a short review of ... is given with special regard ?Z"}RMM)8
to ... W\/0&H\i
5. Section 2 reviews relevant research related to xx. 7e4\BzCC
6. Section 1.1 briefly surveys the motivation for a methodology of YN^8s
action, while 1.2 looks at the difficulties posed by the complexity of GZo^0U,;
systems and outlines the need for development of possibility Al?XJ C B@
methods. ;1WclQ!(
Body G.;<?W
1. Section 1 defines the notion of robustness, and argues for its TD@'0MaQ#
NGxuwHIQ8
importance. 94+#6jd e
2. Section 1 devoted to the basic aspects of the FLC decision-making 'W)x<Iey1
logic. 15B$Sp!/`e
3. Section 2 gives the background of the problem which includes xxx B}p/ ,4x6
4. Section 2 discusses some problems with and approaches to, q?6Zu:':
natural language understanding. D:f#
5. Section 2 explains how flexibility which often ... can be expressed ]l4\/EW6
in terms of fuzzy time-window Ofn:<d
6. Section 3 discusses the aspects of fuzzy set theory that are used in X6PfOep
the ... z-,'W`
7. Section 3 describes the system itself in a general way, including 3' ^ON
the ….. and also discusses how to evaluate system performance. D/U o?,>8
8. Section 3 describes a new measure of xx. m<j ^cU#J
9. Section 3 demonstrates the use of fuzzy possibility theory in the lB,MVsn18
analysis of xx. 7+ c?eH
10. Section 3 is a fine description of fuzzy formulation of human q,2
@X~T
decision. PRs[:we~~
11. Section 3 is developed to the modeling and processing of fuzzy UZV)A}
decision rules CnO$xE|{
12. The main idea of the FLC is described in Section 3 while Section 4 i
cZQv]
describes the xx strategies. r
/PsFv{8
13. Section 3 and 4 show experimental studies for verifying the j,Mp["X&
proposed model. Drg'RR><
14. Section 4 discusses a previous fuzzy set-based approach to cost -WEi
Y
variance investigation. }L@YLnc%
15. Section 4 gives a specific example of xxx. D0uf=BbS
16. Section 4 is the experimental study to make a fuzzy model of ]SK (cfA`
memory process. YTY0N5["
17. Section 4 contains a discussion of the implication of the results of
i2y?CI
Section 2 and 3. B^eea [
18. Section 4 applies this fuzzy measure to the analysis of xx and ~]N%
{;F}
illustrate its use on experimental data. =\`9 \Gd
19. Section 5 presents the primary results of the paper: a fuzzy set csYIC Lj
model .. Yzd-1Jvk
qD2<-E&M/
20. Section 5 contains some conclusions plus some ideas for further #LF_*a0v
work. GJ!usv u
21. Section 6 illustrates the model with an example. !m78 /[LW
22. Various ways of justification and the reasons for their choice are WMrK8e'
discussed very briefly in Section 2. 8 #0?
23. In Section 2 are presented the block diagram expression of a
i;yz%Ug
whole model !iIT
X,'8
of human DM system vVE^Y
24. In Section 2 we shall list a collection of basic assumptions which NH4EsV]
a ... scheme must satisfy. S&@~F|
25. In Section 2 of this paper, we present representation and =w,%W^"E
uniqueness theorems for the fundamental measurement of fuzziness AlGD .
K
when the domain of discourse is order-dense. 'M YqCfIK
26. In Section 3, we describe the preliminary results of an empirical erqg|TsFj
study s|dL.@0,L
currently in progress to verify the measurement model and to ^k~{6S,
construct membership functions. -K+gr sb
g
27. In Section 5 is analyzed the inference process through the two :Ruj;j
kinds of inference experiments... >KC*
xa"
This Section n0nkv[
1. In this section, the characteristics and environment under which &9IMZAo
MRP is designed are described. M`AbH19
2. We will provide in this section basic terminologies and notations <Eq^rh
which are necessary for the understanding of subsequent results. ptYQP^6S[
Next Section $O7>E!uVD
2. The next section describes the mathematics that goes into the %5jxq9:K
computer implementation of such fuzzy logic statements. dEns|r
3. However, it is cumbersome for this purpose and in practical X=_N7!
applications the formulae were rearranged and simplified as SbrBlP:G
discussed in the next section. O3B\K <l
4. The three components will be described in the next two section, {
H"xC~.
and an example of xx analysis of a computer information system will T3Qa[>+\
%q(n'^#Z.y
then illustrate their use. zLC\Rc4
5. We can interpret the results of Experiments I and II as in the Uo5l
=\
following sections. L@9"6&
6. The next section summarizes the method in a from that is useful ZN',=&;n'
for arguments based on xx h5.u W8
Summary pOpie5)7X
1. This paper concludes with a discussion of future research
$ v$~.
consideration in section 5. tb^3-ZUb
2. Section 5 summarizes the results of this investigation. Yc+/="&z
3. Section 5 gives the conclusions and future directions of research. i{!i%
`"
4. Section 7 provides a summary and a discussion of some extensions sR
~1J4
of the paper. @va)j
5. Finally, conclusions and future work are summarized }=az6cLE2
6. The basic questions posed above are then discussed and Of SYOL7o
conclusions are drawn. pX*Oc6.0mu
7. Section 7 is the conclusion of the paper. >Ix)jSNLgo
Chapter 0. Abstract 7-Fh!=\f/
1. A basic problem in the design of xx is presented by the choice of a /DJyNf*
xx rate for the measurement of experimental variables. V<?t(_Y
2. This paper examines a new measure of xx in xx based on fuzzy gNo.&G
[
mathematics which overcomes the difficulties found in other xx aB#qzrr['8
measures. X+
h|sy
3. This paper describes a system for the analysis of the xx. $@7S+'Q3
4. The method involves the construction of xx from fuzzy relations. hd8:| _
5. The procedure is useful in analyzing how groups reach a decision. |*e
>hk
6. The technique used is to employ a newly developed and versatile =VH, i/@
xx algorithm. m+s^K{k}
7. The usefulness of xx is also considered. )CSb\
8. A brief methodology used in xx is discussed. ZH~ T'Bg
9. The analysis is useful in xx and xx problem. qR--lvO
10. A model is developed for a xx analysis using fuzzy matrices. +79?}|
11. Algorithms to combine these estimates and produce a xx are F]q pDv
x$cs_q]J
presented and justified. "'~'xaU!=a
12. The use of the method is discussed and an example is given. CZS{^6Ye
13. Results of an experimental applications of this xx analysis w<|^i*
procedure are given to illustrate the proposed technique. `s Az1/N
14. This paper analyses problems in 1t
WKH
15. This paper outlines the functions carried out by ... p%jl-CC1
16. This paper includes an illustration of the ... Mp:tcy,*
17. This paper provides an overview and information useful for O\,n;oj
approaching Vp.($
18. Emphasis is placed on the construction of a criterion function by 6HW<E~G'6
which the xx in achieving a hierarchical system of objectives are loZJV M
evaluated. }:5AB93(
19. The main emphasis is placed on the problem of xx ek1Y
aE
20. Our proposed model is verified through experimental study. z)='MKrEt-
21. The experimental results reveal interesting examples of fuzzy H-K,Q%;C@
phases of: xx, xx CLg;
22. The compatibility of a project in terms of cost, and xx are likewise RX P 0
4
represented by linguistic variables. \Azl6`Em
23. A didactic example is included to illustrate the computational c{Nk"gEfRA
procedure K, ae-#wgb
Chapter 1. Introduction "2o,XF
Time 12M&qqV
1. Over the course of the past 30 years, .. has emerged form intuitive
1a;Le8
2. Technological revolutions have recently hit the industrial world m646|G5
3. The advent of ... systems for has had a significant impact on the -9Wx;u4]o
4. The development of ... is explored QKDY:1]
5. During the past decade, the theory of fuzzy sets has developed in a kz\
D-b
variety of directions zM%ILv4
6.The concept of xx was investigated quite intensively in recent years ,R5NKWo
7. There has been a turning point in ... methodology in accordance lG;RfDI-
with the advent of ... D *R F._
8. A major concern in ... today is to continue to improve... ,'?%z>RZm
9. A xx is a latecomer in the part representation arena. zA=gDuy3@
PdcF
10. At the time of this writing, there is still no standard way of xx +/y 3]}
11. Although a lot of effort is being spent on improving these }\k"azQ`
weaknesses, the efficient and effective method has yet to be Pf5RlpL:p
developed. qMD 6LWJ
12. The pioneer work can be traced to xx [1965]. Wu(6FQ`H
13. To date, none of the methods developed is perfect and all are far w-*$gk]
from ready to be used in commercial systems. +e+hIMur
Objective / Goal / Purpose XP~bmh,T,
1. The purpose of the inference engine can be outlined as follows: 4:RL[;
2. The ultimate goal of the xx system is to allow the non-experts to fz#e4+oH
utilize the existing knowledge in the area of manual handling of loads, "vQ$RW
-
and to provide intelligent, computer-aided instruction for xxx. N>!RKf:ir
3. The paper concerns the development of a xx 0Po",\^
4. The scope of this research lies in R`q*a_
5. The main theme of the paper is the application of rule-based iD+Q\l;%
decision making. ]`)50\pdw
6. These objectives are to be met with such thoroughness and pt .0%3
confidence as to permit ... ikf!7-,
7. The objectives of the ... operations study are as follows: N+%E=D>
8. The primary purpose/consideration/objective of y33+^
9. The ultimate goal of this concept is to provide ZnSDq_Uk
10. The main objective of such a ... system is to . #`lW7
11. The aim of this paper is to provide methods to construct such jH#Tt;
probability distribution. a]XQM$T$
12. In order to achieve these objectives, an xx must meet the m|!R/,>S4
following requirements: f(~xdR))eh
13. In order to take advantage of their similarity %>B?WR\yE
14. more research is still required before final goal of ... can be D{g6M>,\
completed 3;(;'
5|Z
15. In this trial, the objective is to generate... l6Wa~
E
16. for the sake of concentrating on ... research issues , tJ%t#
17. A major goal of this report is to extend the utilization of a recently AB<|iJC
developed procedure for the xx. spter35b[
7ukJ\P5[&1
18. For an illustrative purpose, four well-known OR problems are rUvjc4O}
studied in presence of fuzzy data: xx. D#|+PG7
19. A major thrust of the paper is to discuss approaches and ~
?i;~S
strategies for structuring ..methods R{Q*"sf
20. This illustration points out the need to specify 9a}rE
21. The ultimate goal is both descriptive and prescriptive. 1%~yb Q
22. Chapter 2. Literature Review 1vKc>+9
23. A wealth of information is to be found in the statistics literature, 5ZeE& vG2
for example, regarding xx c ;_ T
24. A considerable amount of research has been done .. during the 1|
$V
last decade Pf&\2_H3s9
25. A great number of studies report on the treatment of OI0#@_L&
uncertainties associated with xx. Y+5nn
26. There is considerable amount of literature on planning I^erMQn[ z
27. However, these studies do not provide much attention to lnuf_;0
uncertainty in xx. rMRM*`Q2
28. Since then, the subject has been extensively explored and it is a+A^njk
still under investigation as well in methodological aspects as in ,#&\1Vxf
concrete applications. (IdXJvKU!
29. Many research studies have been carried out on this topic. tPu0r],`o
30. Problem of xx draws recently more and more attention of system ?+#|h;M8
analysis. DM
{r<?V
31. Attempts to resolve this dilemma have resulted in the {A2EGUmF2
development of U9k;)fK
32. Many complex processes unfortunately, do not yield to this Q72}V9I9
design procedure and have, therefore, not yet been automated. ~uqpF-.
33. Most of the methods developed so far are deterministic and /or Z*&y8;vUQ
probabilistic in nature. b=nQi.
/f
34. The central issue in all these studies is to GIXxOea1
35. The problem of xx has been studied by other investigators, ?,G
CR1|4
however, these studies have been based upon classical statistical QTZfe<m0
approaches. %`*`HU#X
36. Applied ... techniques to P<<?7_ ??
37. Characterized the ... system as Gk~QgD/Pix
b(^g v
38. Developed an algorithm to }dnO7K
39. Developed a system called ... which B~S"1EE[
40. Uses an iterative algorithm to deduce IQn|0$':Z
41. Emphasized the need to Ns?qLSN
42. Identifies six key issues surrounding high technology 9A|deETa-
43. A comprehensive study of the... has been undertaken h#_KO-#.[
44. Much work has been reported recently in these filed 7G,{BBB
45. Proposed/Presented/State that/Described/Illustrated/ !~X[qT
Indicated/Has shown / showed/Address/Highlights %V r vu5
46. Point out that the problem of 6T3uv,2
47. A study on ...was done / developed by [] -1\*}m%1e
48. Previous work, such as [] and [], deal only with )=,%iL-
49. The approach taken by [] is Kob i!
50. The system developed by [] consists \}CQo0v
51. A paper relevant to this research was published by [] ?&qa3y)wX:
52. []'s model requires consideration of... um/2.Sn>
53. []' model draws attention to evolution in human development BGk>:Z`
54. []'s model focuses on... =m<; Jx5
55. Little research has been conducted in applying ... to 9VqE:c /
56. The published information that is relevant to this research... XwI~ 0
57. This study further shows that 6??o(ziK$
58. Their work is based on the principle of m8Wv46%
59. More history of ... can be found in xx et al. [1979]. /g|H?F0
60. Studies have been completed to established _e2=BE`W)
61. The ...studies indicated that :0G_n\
62. Though application of xx in the filed of xx has proliferated in $-HP5Kj(k-
recent years, effort in analyzing xx, especially xx, is lacking. g43j-[j)
Problem / Issue / Question 87QK&S\
63. Unfortunately, real-world engineering problems such as HIK"Ce
manufacturing planning do not fit well with this narrowly defined j`fQN
model. They tend to span broad activities and require consideration s& INcjC
of multiple aspects. MCPVql`+`q
64. Remedy / solve / alleviate these problems ny(`An
67. ... is a difficult problem, yet to be adequately resolved [#+yL
2kP
0//
68. Two major problems have yet to be addressed kTC'`xv
69. An unanswered question *=sMJY9#jE
70. This problem in essence involves using x to obtain a solution. 0_!')+
71. An additional research issue to be tackled is .... Ry$zF~[
72. Some important issues in developing a ... system are discussed e(e_p#
73. The three prime issues can be summarized: 2)iwAu
74. The situation leads to the problem of how to determine the ... pKxsK^O5[
75. There have been many attempts to n\-nBrVSf
76. It is expected to be serious barrier to k-:wM`C
77. It offers a simple solution in a limited domain for a complex u[{j;l(
problem. q=EHB5!q
1. There are several ways to get around this problem. $#ve^.VHv
2. As difficult as it seems to be, xx is by no means new. |S0w>VH>
3. The problem is to recognize xx from a design representation. O c[F
4. A xx problem can trace its roots to xx. Z[ N
O`!<
5. xx [1987] used a heuristic approach to simplify the complexity of ~pZ<VH;h
the problem. 6`c5\G+
6. Several problems are associated with them. D]?eRO9'
7. Although some progress has been made in this area, at least two +jEtu[ ;
major obstacles must be overcome before a fully automated system {h}0"5
can be realized.
46^9O
5J
8. Most problems in practice are complicated `{Jo>L.
9. More problem surface here. {
R`"Nk
10. Hamper effort toward a xx system @#j?Z7E|
11. In order to overcome the limitations due to incomplete and ~6Xr^An/Z
imprecise xx knowledge, a xx program has been developed, which (u{?aG~
bases its knowledge upon the statistical analysis of a sample wHR# -g'
population of xx rA\6y6dFs
12. The above difficulties are real challenges faced by researchers {^T_m)|n
attempting to develop FwjmC%iY
13. This type of mapping raises no controversy to the issue of ;
u@& [
membership function determination. HM]mOmL90N
14. However, attempts to quantify the xx have met both theoretical LmZ"_
and empirical problems. W"v"mjYud
sQXj?5!
15. It has become apparent that in order to apply this new 3J_BuMV
methodological framework to real-world problems and data, we have u)4eu,MBT
to pay attention to the problems of xx and xx. Yo*.? Mq'
Chapter 3. Proposed methodology =v{Vl5&>?
Assumption (Zoopkxw
1. In the case when the assumption of a xx seems to be too iF*L-
restrictive or inadequate, the formulation with Fuzzy termination vACJE
time, i.e. given by a fuzzy set in the space of control stages, may be "j/jhe6
applied. c0v6*O)
2. We assume here the fuzzy constraints to be state-dependent, and ZZ324UuATX
the fuzzy goal to be the same for all the control states, xx, which
H(gETRh
stems from the problem's nature. IBz)3gj J
3. An approach to the solution of this problem is presented under the ]S 3l' "
assumption that the sampling rate Decision can be made prior to the z'9U.v'M)
execution of the experiment, as opposed to being made while the <lgX=wx L
experiment is in progress. (b8ZADI*
4. Another assumption made above is that there are precise odds at )wNcz~
Y
which the expert is indifferent. a7}O.NDf
5. Main simplifying assumptions are: ~0Z.,p_
6. This, in our view, is a questionable assumption. WRp0.
Outline / Structure / Module WXQ+`OH7
1. An outline of the research Th!;zu^t
2. Information is incorporated within the scheme V~sfR^FQ'
3. Is built into ... structure L./{^)
4. A nice modular structure. r1BL?&X-
5. The principles of ... are applied as modularized criteria "i,ZG$S#E
Classification d*_rJE}B
1. A xx system comprises three main components: V-9\@'g
c
2. Must decompose the original .. into a set of .. UaB2vuL*=
3. Consists of the following steps: L:\>)6]Ls
4. This is summarized in the following steps: E?FUr?-[
FE dFGT
5. Can be broadly classified into the following areas: [P`<y#J3F
6. Can be characterized by its function of effectively processing the <+Gf!0i
7. Can allow further breadth of application of ...into more E:y^= Y
8. The following steps should be followed 89j*uT
9. xx can be classified by a different ways. `<-/e%8
10. Based on the xx, one may classify xx into the following: Gkm{b[
11. This catalog may change due to wear, breakage, and purchasing. yN/g;bQ
System XEBj=5sG
1. Unlike many conventional program, expert systems do not TZhYgV
usually deal with problem for which there is clearly a right or wrong (9{qT>eJg=
answer. LIll@2[
2. The system consists of both ... and ... nrR2U`
3. The system has a hierarchical modular architecture organized on QjKh#sU&
three levels. *M.,Yoj
4. expert system domains are area of expertise "m`}J*s"
5. To develop a xx system for xx, the following factors must be UrO&K]Z
considered: NA$%
Up
6. The system has been developed / designed to determine ~])Q[/=p
7. The system has proven to be able to M+I9k;N6&
8. The domain in which an expert system operates is a particular JNo[<SZ
b
domain Z3U%Afl2{
9. The system comprises a ... with 5uV_Pkb?8
10. The system is [feature-oriented ] / based on the ... technique 0\Tp/Ph
11. The system environment must be relatively stable %
s@
12. The system is utilized to generate, load, store, update and 1je/l9L
retrieve ... {|'NpV
13. The development of a xx system has two stages: xx stage and xx ?*.:*A
stage. @?RaU4e
14. The most essential part of .. system is the ... +F.@n_}p-I
15. The successful developments in ESs have made them an Sk-Q 4D^
important tool in the development of U'u_'5{
16. An automated system was developed for m
Dk6@Gd@U
17. In this case, the system can be considered to be generative. >f4[OBc
6&QOC9JW+7
18. An interactive automatic ... system L c
)i
19. A …. is commonly thought of as a truly integrated .. system RI+Y+z
20. Should be capable of being generated from a ... system * U}-Y*
21. xx is an important part of the integrated system. 7rYBFSp
22. The model consists of four rule bases, each of which addresses a ^nK 7&]rK
separate problem in the hierarchy of scheduling decision. ~0[(-4MA
23. The rule bases are linked to each other in a chin-like manner in |!/+T^u
the sense that the consequent of one rule base constitutes a part of E;9J7Q
4
the antecedent of the next rule base. X|&H2y|*7
24. The rule base consists of all possible combinations of the `,]_r4~ ~
linguistic terms associated with the linguistic variable of the ^IyYck'y+
antecedent of a rule. io(!z-$
Computer System
?!<Q8=
1. The system has been implemented using Prolog language in an VFMn"bYOB
MS-DOS environment. Prolog was chosen because it offers a well )Gk?x$pY@
known and flexible environment in which fuzzy reasoning may be IuA4eDr^Y%
easily implemented. ]*g f$D
2. The current version of the xx program when compiled with ^Bo'87!.
WATFOR77 results in an executable code of about 270K bytes.
NFP h}D
Typical run time, when run on a XX computer (an IBM compatible gK( G1
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min c##tP*(
to 2h, depending on the size (or complexity) of the problem. gz~ug35
3. Time consuming procedures have been implemented in +0j{$MPZ
C-language and directly linked to the Prolog environment. 8aC=k@YE
4. The xx process, once the xx's data has been entered, requires q`.=/O'
approximately 180 seconds. )q.ZzijG/
5. It should be noted that the computation was done with a 20 Hhz, Nr+~3:3
80386..209;based microcomputer equipped with a 80387 math Q`NdsS2
co-processor. O*bzp-6\
6. The computer programs used for the analyses, one based on the xx XA(.O|V
Z
method and the other based on the new method, were written in )MLbE-@
FORTRAN with a compiler that supports the math co-processor. z@o6[g/*Q
7. Lisp, Prolog give maximum flexibility but also maximizes IW>~Y l?
l'M/et{:
development time. =tY%`e
l Internal representation is the way a model is represented in the Nd_A8H,&B
computer. n%G[Y^^
,
l An interactive menu-driven procedure is used in this study )db:jPkwd
l Shell can be develop very fast at the cost of time fairly severe Q[aF"5h%
limitations. _L` uCjA
l While there is no measurable saving of time for the case involving Y0-?"R8
five criteria, the saving is dramatic for the case involving 10 criteria ?'|GGtvm
-- the computation time reduces from 10 hr 40 min to about 1 min. MK @rx6<9
l This combination is being implemented in an objected-oriented L+T'TC:
programming environment (Smalltalk-80 system) to solve problems jcvq:i{
encountered in construction xxx. #Ef! X
Method / Approach / Study / Process Model / Equation /Algorithm / isy[RAP<
Rule / Formula / Technique .w _BA)
l A discussion is presented of a problem-solving system .Ln98#ZR
l To improve the efficiency of the method, the following approach c`hENPhW
may be applied. PhV/WjCZ
l In order to an investigation was made to find the causes of the L[<Y6u>m!1
l Although large collections of rules and equations have been iPY)Ew`Im
complied, none are generally accepted "PWGtM:L8Y
l This approach will be explained and discussed thoroughly in the |,S]EHIy
body of the report. J %B/(v`
l This can be accomplished by ,)!%^~v
l This algorithm to compute the total cost can be described step by ~`^kP.()
step as follows: nT2b"wkTT
l The above preliminary analysis has provided important ~Ym*QSD
information kka{u[ruA
l Various methods have been proposed for selecting an optimum... 0-aaLC~Z>
l These concepts have been applied to fF>hca>
l On the basis of the concept mentioned above, ]B8iQr-!
l This can be achieved by X(17ESQ/Y
l This fact suggests that a new concept 7J`v#
l This was accomplished by taking ... ?/5<}W#7}
#Tag"b`
l The preparatory stage is very time consuming process. ZAeJTCCk
l Test are performed for validity, completeness, and compatibility N+5f.c+S-
l There is little hope of achieving successful ... N%q{CYF6
l There has been an increasing awareness of the potential of using UHTxNK@}
most ..so far made have not taken this approach, with the exception O'^AbO=,
of /NR*<,c%
l Only a few studies can be found. oa5L5Zr,A
l It is a very tedious process to go through <;>k[P'
l It is only when .. has been completed that .. may be effected r3OtQ
l The entire interpretation process is conducted in one's head. `WxGU
l These approaches are sometimes very tedious. UUtSme
l Several techniques can be used TV_a(#S
l A polynomial parametric model can be written as [the Sx Bo%
following]/[follows]: *Sbc
8Y
l A xx model is constructed/formulated using xx. l
ObY
l A xx model represents an xx by its xx. CI \O)iB
l A process decision model captures the logic essential to 'Cz]p~oF
l From the equation above, xx is equal to the summation of xx tpeMq-
times the ... )[&j&AI
l The validity of a xx model can be checked using Euler's formula. jE5=e</
l Given a model, one can mathematically determine whether ... or ... B%))HLo'
l Equations for xx need to be derived and implemented in the ov\%*z2=
system. Zw/??Tq b
l A number of heuristic rules have been developed for ~U1: 0
l Optimum .. techniques can be made more reliable by ... so that %)^0NQv
l An algorithm based on the characteristic ... is used to determine -W})<{End
l Euler's formula states the following: 1.~^QH\p?3
l The completed model should agree with the formula. 7-9HCP
l For manufacturing purposes, a detailed and precise model of the mryT%zSlM
object is necessary :N
xksL
^
l Engineering design models are very well defined; therefore, ,S, R6#3G
l To keep the domain narrow enough to be implementable, yet wide )^E6VD&6
enough to pf=CP%L
be useful. w%6 L"
IZ.b
Point of View t +CU
l from an implementation standpoint, x_4{MD^%
l From the point of view of this application, +]VW[$
W
l From this point of view, Zadeh suggested an inference rule named ^c sOXP=Yp
xxx (CRI for short). AIA4c"w.EO
l Information is the meaningful interpretation and correlation of b3-
+*5L
some aggregation of data in order to allow one to make decisions. )f%Q7
l From a practical point of view, the computational aspects of an xT+@0?|F
FLC require a simplification of the fuzzy control algorithm. &v+Hl
^
l The use of a hammer to insert screws, although partly effective, P$`k*
v
tends to distort, destroy, and generally defeat the purpose of using a .Na'yS `J
screw [Kusiak AI Implications for CIM p.129] L7.LFWq$
S
Justification o-]8)G>~M
l We choose the so called xx in our experiment because it has >9Y0t^Fl
received wide acceptance and can r9^~I
l Prolog was chosen because it offers a well known and flexible HR?a93
environment in which fuzzy reasoning may be easily implemented. CH=k=)() ]
l The rationale behind this is that it can be much easier for an ery{>|k
estimator to rate a cost as high than to attempt to place a dollar kmsgaB7?
value on the estimate. sH)40QmO{
l This strategy has been widely used in fuzzy control applications 4({Wipd
since it is natural and easy to implement. _We4%
l A function definition expresses the membership function of a |DoD.?v
fuzzy set in a functional form, typically a bell-shaped function, etc. _,|N`BBqd
Such functions are used in FLC because they lead themselves to YR68'
Sft[
manipulation through the use of fuzzy arithmetic. =xHzhh
l It should be noted that in our daily life most of the information on 6b=7{nLF
which our decisions are based is linguistic rather than numerical in K>`*JJ,
nature. Seen in this perspective, fuzzy control rules provide a natural 0Y ld!L
framework for the characterization of human behavior and decisions !X/O1PM|
analysis. VaylbYUCT/
l Many experts have found that fuzzy control rules provide a P;lDri
4ew#@
convenient way to express their domain knowledge. This explains :.NCS`z_
why most FLCs are based on the knowledge and experience which ?N!.:~~k
are expressed in the language of fuzzy "if-the" rule. @RVj~J.A
Chapter 4. Examples ,[ M^rv
Example/ Data /hbdQm
l The data used in the following example was taken from an ao)8ie
experiment in which xx was measured between x and x using a xx 4>I;^LHn
technique. G_n~1?
l The data consists of over xx measurements. 6I$:mHEhd
l An example of xx is discussed and the control rules of xx are Y^J/jA0\B
compared with a xx E,:E u<
l Examples of complex processes to which this technique may be @
Yzj
applied are xx, xx, etc. )qV&sru.$
l The following example is constructed only for the purpose of I=Xj;\b
illustrating the computational procedure discussed. O_/|Wx
l This example clearly demonstrates that the profile of an individual w`r)B`!g
xx, or a very small group of xx, with no enough data to be studied n!t][d/g+
statistically, can be meaningfully analyzed by fuzzy possibilistic ,Taq~
methods. ?513A>U
l There is no space here to go into detail on all these methods, but G .k\N(l
deserve a mention and the bibliography will point to detailed :\8&Th}Se
references for those wishing this level of detail. W8{zV_TBm
l Note that the golf ball spotting example is used throughout the 2w? 5vSv
paper. 0] $5jW6]
Comparisons :*{\oqFn~$
l As well, the pros and cons of these representations from a process BY^5z<^.
planning point of view will be discussed. i7(\i2_P
l The method of using xx to implement xx described by Zadeh f'3sT(1&
(1973) appeared more suitable v"a.%"oN8
l As discussed [in the previous section]/[preciously], t.E3Fh!o
Fq9>t/Zj
Relation =3Hv
l We can not invert F' directly because it defines a many-to-one GcYT<pwN6
mapping. 6$^
dOJ_"
l The relationships appear very complicate }8cX0mZ1j
l Lifting tasks involve complex and imprecise relationship between SQd`xbIuL
the task variables and the human operator's characteristics. HfgK0wIi
l These methods are based on the relationship between ... and ... +B0G[k7
l The fundamental concept of a fuzzy rating language is that we can {l -V
establish a relationship among terms such as high, medium, and low, vz_ZXy9Z
and then modify these relationships. ib%x&?||
l This article will thus mention the latter as well as the former. Z*rA~`@K6
l The former two bear a close relation to a fuzzy Cartesian product. -'OO6mU
Importance )4P5i
b
l The emphasis is on an implementation of a general approach to axW4cS ?
rule based decision making. f{Dc R"
Consideration / Attention 8?7gyp!k_f
l Careful evaluation is necessary to ensure sC .R.
l Such a formulation does not change further considerations. hsUP5_
l Considerable attention has been paid to >WW5Apy[
l Attention should be paid to an important finding of this <C'S#5,2
investigation. rpNe8"sh
l Caution should be exercised in this process to avoid ... G
Riu]
l Primary consideration is given to ... components, though others !r8Jo{(pb
can be accommodated A<&
:-Zz
l After ... has been defined by ..., a carefully analysis is carried ?Ze3t5Ll
out/performed to determine Nv
iPrp>c
l A number of factors such as ...need to be taken into consideration fV;&)7d&
before making the appropriate decision. E5%ae (M^
l It should be noted that Vo%UiVHy
l It is important to point out that ... cg,_nG]i
l These considerations have heightened interest in the possibility of S %"7`xl
providing ... iK"j@1|
a`w)awb
l We should stress the fundamental importance of the xx 3\,TI`^C
Chapter 5. Results. JHf}LZu
Advantages / Disadvantage 5m+:GiI
l One of the major advantages of this new measure of xx is that it Lh &L5p7
can be applied to the experimental study of z^4\?R50yO
l One advantage of using a .. is the ease of preparing it. Oh:SH|=]#
l The xx system is versatile 'FBvAk6
l It has a very fast decision making process LwUvM
l All the algorithms involve mostly logical operations. zYOPE 6E
l It can be easily and without additional cost implemented in a IBVP4&}x$
microprocessor-based environment.
e?G*q)l
l It can reduce the waste of designing from scratch. T^GdN_qF
l The advantages of using a xx to represent xx are the following: t:M({|m Y
l However, xx is not without its shortcomings. #k=!>%+E
l In most cases, the xxx shows an improvement over the existing "`:#
sF9S
xxx. ,XP9NHE
l Compared to the existing xx, the impacts of the xx are generally $zCUQthL@
reduced by 5% to 9%. Dz)bP{iq"
l The "best case" results shows a savings of 6% to 9%. j7-#">Y
L
l Most of the existing works based on xx approach can only .: 7h=neEW
recognize a xx . d(a6vEL4
l Most of the above methods are computational expansive and .^kTb2$X
limited to xx. GW
$iK@
l Some other advantages of xx are the following: dy`~%lX?
l The problem is the limitation of this method to a limited domain of Q|G[9HBI
parts. ?qK:P
l It proved limited in application because it demanded precision in 0Xo
zYyq
system modeling that was impossible in practice. h V8A<VT
l There are advantages to be gained in the structuring of costs and I3s}t$`y(
benefits, the use of xx, K->p&6s
l The disadvantages of this method are also disadvantages of 3 oWCQ
conventional xx approaches. qbAoab53
/|DQ_<*
l This combines the best features of both techniques Ta[}k/zW
l Hopefully, this tool can be as the reference framework of for rz.`$b
developing a xx platform, and helping the administration, marketing, vOP[ND=T
and knowledge management activities in virtual communities. :e9E#o
Results
xjX5 PQu
l An improvement on the result shown above can be made by based yWK[@;S]%
on the data provided be@MQ}6>
l Discussion of these theories is beyond the scope of this review {jq-dL
l Based on the information contained in this ,,iQG' *
l The result can be categorized into nine classes ! 9N%=6\
l The results are illustrated by an example 1IsR}uLh
l The experimental results for each xx time are reported in Table 2. 4v?S`w:6
l From the results obtained so far, it seem that IWQ8e$N
l Because of the inaccuracy of the ..., a conclusion cannot be drawn Z3/ zUtgs
as R`<E3J\*
l Although much effort has been made to., this reality is far from 7)]G"m{
completion. bVrvb`0
l The results indicate that the total benefits are higher than the
)Ob{]
total costs. SVHtv
0Nx
l Their results may then serve as guidelines for lower level models, #*`|}_6L
less fuzzy and more detailed. r#j*vO '
Chapter 6. Conclusion uJ$"2<O
l From the discussion, one may conclude that ... {%$=^XO
l Form the above discussion, the conclusion can be reached that R3<+z
l The conclusions drawn are also valid 5-J-Tn
l In conclusion to this, it becomes obvious that the problem of xx ,s)H%
lies not only in... cZ(XY}
l We have attempted to introduce some concepts associated with a c2U>89LlZ
theory of ubQ(O uM"
xx based on fuzzy sets.
%|I|Mc
l Considerable more work, hopefully, will be done in this area 4>W`XH
l A fuzzy set procedure is proposed to solve xx selection problems GB=q}@&8p
Q&J,"Vxw
interwoven with imprecise data g[$B90
l Employing the compositional rule of inference, the assessment of gM*s/,;O"
the xx compatibility in achieving prescribed xx projectiles in any ,y >Na{@Y
level of the hierarchy is made possible. xI@~I g
l This paper has presented a theoretical and experimental study of r~TT c)2
the xx process and xx concept. gr;M
l The experimental research results will hopefully serve as useful >g[W@FhT'k
feedback information for improvements for xx work. ^WNJQg'
l The scope of this contribution was to introduce a xx method. |}`5<a!6U
l In general, fuzzy sets theory provides an alternative foundation I%p#E#[G
for xx analysis in a fuzzy environment. T)u w2
Future Research 1@WGbORc*
l Thus, first extension of the approach could be, pR"qPSv'
l Present some cues for a further approach from Fuzzy Sets Theory {OOt+U!
application to
q0~_D8e,
l Some improvements to the scheduling aspect of the model may kslN_\
be brought through additional levels in the hierarchy for more a3;.{6el)H
detailed representation of the scheduling activity. @>Keu\)
Tables and Figures }]I?vyQ#V
l Figure 7-1 sketches these relationships. K288&D|1WU
l The graphical representation of these functions is shown in Figure K>[H@|k\k
1. q}5A^QX
l The xx may be depicted as in Figure 1. mw[4<vfB0a
l Figure x shows the schematic diagram of the {
Fi@|'
l Figure 1 though 2 provide a ... that Nj0)/)<r+
l the architecture of this expert system for .... is illustrated in Figure U3}R^W~eb
2. %'e(3;YI
l Figure 2 gives the outline of an ... system
qR qy
l Table shows the `dP+5u!
l as shown in Table 1 and 2 sh ;uKzQ
l This concept is illustrated in Figure 2 W[Bu&?h$
l At the top of Table xx are shown two blocks of data. iIE(zw)H
k`TJ<Dv;
l Each table or matrix has constructs xx through xx as KIo
}Gd&
row-headings, :eW~nI.Vc
xx through xx as column-headings. QIK73^
l A table of .. is developed and significant recommendations are sg{D ?zl
made. AiZFvn[n8
CONJUGATION Net)l@IB]
To Indicate Addition s.` d<(X?
l additionally, again, also, and then, as can be easily understood, Eap/7U1Q
besides, equally important, especially, finally, for the same reason, fm%R
NAPvc
first, further, furthermore, in addition, last, likewise, moreover, next, abeSkWUL(
second, third, too, evidently, obviously, roughly speaking, broadly d&uTiH? 0
speaking WuFwt\U
To Indicate Cause and Effect PuCDsojclh
l accordingly, as a result, consequently, for this reason, hence, in o^Yspp
short, otherwise, then, therefore, thus, truly hG7S]\N_
To indicate Comparison HhmVV"g
l in a like manner, likewise, similarly , alternatively `t0f L\T
To Indicate Concession _i[)$EgFm
l after all, although this may be true, at the same time, even though,
iN_D8dI
even so , I admit, naturally, of course _1<'"u#6w
To Indicate Contrast {Y91vXTz7
l and yet, at the same time, but, for all that, however, yet, in fact, in oL'1Gm@X?
contrast, in the real life, in spite of, nevertheless, notwithstanding, l (,;wAH
normally, on the contrary, on the other hand, still, traditionally, 12sD|j
rather, unfortunately, VtO;UN
To Indicate Time Relationships: X@qk> /
after a short time, afterwards, as indicated earlier, as long as, as soon rEyz|k:
\c~{o+UD-
as, at last, at length, at the moment, at that time, at the same time, ouVjZF@kS
before, earlier, currently, immediately, in the meantime, in recent F|?'9s*;6G
years, lately, later, meanwhile, often, of late, presently, recently, $tCcjBK\
soon, shortly, since, thereupon, temporarily, therefore, until, when, s`
=/fvf.
while x} &a{;
To Indicate Special Features or Examples: 6f?BltFaN
for example, for instance, incidentally, indeed, in fact, in other words, "f|(@a
in particular, in practice, specifically, that is, to illustrate, in this P$18Xno{
respect, theoretically, as mentioned before / above ^'&iYV
To Indicate Summary: /*AJr
in brief, in conclusion, in short, in summary, on the whole, to 5BHOHw D{
conclude 3X$Q,
, in general, to summarize, to sum up, as a result, ultimately, 8j
ggc#.
VERB PHASE 1a&/Zlr
l build a .. model K)/!&{7n}a
l build up the key link
kqD*TJA
l began a new era in ... [O7w =
l can be regarded as / achieved / used to/for / found / obtained 1xO!w+J#
through ;h9-}F
l can result in )C>}"#J>
l carries out ... tasks mA(nyF
l production information in order to simultaneously mPs%ZC
l contains all information necessary to describe 4[TS4p
l do not make use of production information 7`IUMYl#~
l deals with ZT) !8
l end with failure _BG8/"h32
l fetch the information from the model directly g.I(WJX0
l has great potential / yet to be resolved / spurred the =[]x\&@t
development of / EI1W
.V>@
been recognized as e9CP802#2
l BE aimed at / built up / carried out by / essentially concerned 0A#*4ap
n1QEu"~Zj
with / considered to be the key technology / associated with each @B,j;2eb
feature of a compo
t=n+3`g
site component / cable of / currently implemented for / `"a? a5]k
demonstrated by an example / finally reached / made equal to / Mv.Ciyc
equivalent to / more suitable to / oriented to / interpreted as / P<%v+O
pointed out / potentially of great benefit in the complex task of / \U/v;Ijf
shown in / used to effectively guide the search ,~(|p`
l makes use of +J|+es
l make up pw@`}cM=
l meets the needs of real life production,/ the current demands gUl1
CH&
placed upon it gaQ[3g
l must be justified 60"5
?=D
l point out hZcmP"wgC1
l play an important role zhNQuK,L
l relates to 4~!Eje!
l rely on c$9sF@K?
l satisfy the needs &=G)NeT_
l determine the total requirements for the ... jDR')ascn
l uses ... as a key to search for... Q4RpK(N
l without relying on BU`ckK\(
l will be available/ performed/ overlooked xcst<=
NOUN PHASE *-0>3
l a basic technical function of 4R
x~s7l
l a critical need Uo~T'mA"
l a key / principle feature of u t$c)_
l a substantial impact on tZbFvk2
l an intensive review was conducted RT,:hH
l an increasing need for expanding the application of .... ?=<~^Lk
l an important component / function / aspect / issue (~JwLe@a
l each rule is numbered in sequence O$^xkv5.
l each of these involves 3A_G=WaED
l for this calculation, it is necessary to define C0QM#"[
l in the physical environment / integration of Hfh!l2P
@o6R[5(
l in the reality of situations where … 28a$NP\KW
l many aspects of t8P PE
l most past efforts have been spent on ... => qTNh*'
l common sense to a well studied and documented technical field. 7tRi"\[5
l sources of additional information on ... are listed HJIC<U
l systematic and rationally structured format nBkh:5E5%
l the basis on which a range of ...operations can be established is \9`#]#1bx5
shown Br!9x{q*
l THE basic philosophy / principles of / key element / general lNz
]HiD
hypothesis / candidate list of / concept of ... has attracted wide Rb EKP(uw
interest / function is concerned with / heart / impact / nature / role <.bRf
/ task of / kernel functions &l m#
l the number of parts needed to "u492^
l the above statement means that V%*b@zv
l the output data is passed to ]A^4}CK^<
l the proposed method / underlying principle ?IF)+]
l the recommendations made in this report, if implemented, should v7,$7@$:\
l this information resides in aJzLrX
l this process is composed of ... different ... operation .UQE{.?
l along with the use of UE.4qY_7
l concerning general aspects of TB!(('
l due to @1:0h9%
l for later use in generating..., ok{!+VCB5
l in turn, b?T
l IT IS believed / noted / assumed / suggested / shown / quite >/=> B7
evident / appears / implies that / intended for / of no important to =5x&8i
l it can be claimed/concluded that %JyXbv3m,
l it demonstrates the decisions required of 2oCkG~j
l it also provides information to .. ypdT&5Mqb!
l it becomes essential to JSr$-C
fH
l let ... be the probability that S1S;F9F
l once... is written, it is compiled into... Vsnuy8~k
l suppose it is observed that t0)<$At6J
l this is because }4//@J?:
i+{yMol1
l this results in a aZ|=(]
l upon completion of the ... analysis, =
ieag7!
l when the knowledge is of mathematics or quantum physics, it will =]C]=
also be $O)3q
$|
recorded in books and papers iyta;dw9
l selection of rules for using the tools, for generating operation De&6 9
plans, !\Xm!I8
is another matter of preference, since practice varies greatly. 6CbxuzYer
l for the sake of convenience 4m)OR
l correct decision to be reach ~m^ #FJu
l keeping the number of rules to a minimum. Uyx!E4pl(
l a good process plan will result exhibiting several characteristics: XolZonJr
l practical solutions *3/T;x.
l because of rather small job lot sizes 6GPp>X
l Backward reasoning can be used to answer the question "should YH&bD16c3
milling tool be select" different level of knowledge in the realm of 6(d }W2GP
process planning