英语论文写作常用经典句型 d! _8+~
E/>kvs%
V?jot<|$
Beginning |W|RX3D
1. In this paper, we focus on the need for [R/'hH5
2. This paper proceeds as follow. !q^2| %
3. The structure of the paper is as follows. /@LUD=
4. In this paper, we shall first briefly introduce fuzzy sets and related X@:@1+U
concepts *1U"uJno
5. To begin with we will provide a brief background on the K|rGJ
Introduction -Vjrh/@
1. This will be followed by a description of the fuzzy nature of the y,$zSPJCi
problem and a detailed presentation of how the required A_|X54}w&
membership functions are defined. \U HI%1^
2. Details on xx and xx are discussed in later sections. -JXCO<~k
3. In the next section, after a statement of the basic problem, various 7JLjA\k
situations involving possibility knowledge are investigated: first, an b./MV
z
entirely possibility model is proposed; then the cases of a fuzzy KU87WpjX
service time with stochastic arrivals and non-fuzzy service rule is 7)l+hZ
studied; lastly, fuzzy service rule are considered. =XZd
_v
Review A04E <nr
1. This review is followed by an introduction. 5_Oxl6#
2. A brief summary of some of the relevant concepts in xxx and xxx is >8w=Vlp
presented in Section 2. 9S<atMB
3. In the next section, a brief review of the .... is given. VNxhv!w
4. In the next section, a short review of ... is given with special regard 4+B
OS ~
to ... @-aMj
5. Section 2 reviews relevant research related to xx. HD8*>p.
6. Section 1.1 briefly surveys the motivation for a methodology of ~x g#6%<=
action, while 1.2 looks at the difficulties posed by the complexity of <PpW.1w
systems and outlines the need for development of possibility aQL$?,
methods. M1e79p<
Body -zH` 9>J5|
1. Section 1 defines the notion of robustness, and argues for its
sf'+;
oNIt<T
importance. i-`J+8|d
2. Section 1 devoted to the basic aspects of the FLC decision-making V})b.\"F
logic. +y9WJ
3. Section 2 gives the background of the problem which includes xxx 9wpV} .(
4. Section 2 discusses some problems with and approaches to, 5HW'nhE
natural language understanding. U6LENY+Ja
5. Section 2 explains how flexibility which often ... can be expressed "D7wtpJ
in terms of fuzzy time-window #A9rI;"XI
6. Section 3 discusses the aspects of fuzzy set theory that are used in L IRdWGQ
4
the ... iJ!p9E*(
7. Section 3 describes the system itself in a general way, including 9<-7AN}Z
the ….. and also discusses how to evaluate system performance. +`'>
8. Section 3 describes a new measure of xx. oS#PBql4
9. Section 3 demonstrates the use of fuzzy possibility theory in the !6l}s$1i|
analysis of xx. V D.T=(
10. Section 3 is a fine description of fuzzy formulation of human &W$s-qf".
decision. GVUZn/
/
11. Section 3 is developed to the modeling and processing of fuzzy J6RzN'j
decision rules 3D2i32Y@!
12. The main idea of the FLC is described in Section 3 while Section 4 YzeNr*
describes the xx strategies. tu5T^"BqO
13. Section 3 and 4 show experimental studies for verifying the
Ula
h!s
proposed model. ISi^BFU
14. Section 4 discusses a previous fuzzy set-based approach to cost 0artR
~*}
variance investigation. .1A/hAdU
15. Section 4 gives a specific example of xxx. sz+%4T
16. Section 4 is the experimental study to make a fuzzy model of GtpBd40"
memory process. BL1d=%2R
17. Section 4 contains a discussion of the implication of the results of Fb\ E39
Section 2 and 3. Vi'zSR28Z
18. Section 4 applies this fuzzy measure to the analysis of xx and %ZM"c
illustrate its use on experimental data. _o'a|=Osx>
19. Section 5 presents the primary results of the paper: a fuzzy set .njk^,N
model .. NY"+Qw@$
xzz0uk5
20. Section 5 contains some conclusions plus some ideas for further eNu]K,rT
work. ^"] ]rZ)
21. Section 6 illustrates the model with an example. Ox9M![fC
22. Various ways of justification and the reasons for their choice are 8'#L+$O &N
discussed very briefly in Section 2. EHk$,bM
23. In Section 2 are presented the block diagram expression of a n.OsmCR N;
whole model dQ= L<{(
of human DM system o^v]d7I8b
24. In Section 2 we shall list a collection of basic assumptions which @K1'Q!S*
a ... scheme must satisfy. 6 l7iX]
25. In Section 2 of this paper, we present representation and _0"s6D$
uniqueness theorems for the fundamental measurement of fuzziness =d#(n M*
when the domain of discourse is order-dense. ^X ~S}MX
26. In Section 3, we describe the preliminary results of an empirical cy0j>-z
study jx14/E+^
currently in progress to verify the measurement model and to {'sp8:$a
construct membership functions. <FfmDR
27. In Section 5 is analyzed the inference process through the two )
3.=)?XW
kinds of inference experiments... _o? I=UN2:
This Section Pye/o
1. In this section, the characteristics and environment under which QXEz[R
MRP is designed are described. HT7I
~]W
2. We will provide in this section basic terminologies and notations uc aa;zj
which are necessary for the understanding of subsequent results. X3'd~!a)
Next Section Q7-'5s
2. The next section describes the mathematics that goes into the l~mj>$
computer implementation of such fuzzy logic statements. `6<Qb=
3. However, it is cumbersome for this purpose and in practical <l5s[
applications the formulae were rearranged and simplified as o_a' <7\#i
discussed in the next section. RQU-]qQ8BM
4. The three components will be described in the next two section, C5Mpm)-%
and an example of xx analysis of a computer information system will l ;S_ J^S
.EZ8yJj1Q
then illustrate their use. Z-3("%_$/
5. We can interpret the results of Experiments I and II as in the a]!u
go}
following sections. 08/Tk+
6. The next section summarizes the method in a from that is useful poy_?7G
for arguments based on xx pnUL+UYeM
Summary .Hg{$SAC(w
1. This paper concludes with a discussion of future research @(IA:6GN
consideration in section 5. GJ:oUi
2. Section 5 summarizes the results of this investigation. MAQ-'s@
3. Section 5 gives the conclusions and future directions of research.
KQ0f2?
4. Section 7 provides a summary and a discussion of some extensions pm2]
of the paper. B<ZCuVWH:
5. Finally, conclusions and future work are summarized qp{~OW3
6. The basic questions posed above are then discussed and \H
5t-w=
conclusions are drawn. JsEnhE}]
7. Section 7 is the conclusion of the paper. 4#W*f3d[@:
Chapter 0. Abstract <pM6fI6BD
1. A basic problem in the design of xx is presented by the choice of a (:R5"|]@<x
xx rate for the measurement of experimental variables. u Yc}eMb
2. This paper examines a new measure of xx in xx based on fuzzy ^!$=(jh.
mathematics which overcomes the difficulties found in other xx G?!8T91;
measures. z\YLO%Mm
3. This paper describes a system for the analysis of the xx. op3a*KG
4. The method involves the construction of xx from fuzzy relations. Kd\d>&b
5. The procedure is useful in analyzing how groups reach a decision. }GHCu
6. The technique used is to employ a newly developed and versatile b5?k gY
xx algorithm. _|{Z850AS
7. The usefulness of xx is also considered.
zjSHa'9*
8. A brief methodology used in xx is discussed. v^ v \6uEP
9. The analysis is useful in xx and xx problem. `aA)n;{/2u
10. A model is developed for a xx analysis using fuzzy matrices. |io)?`pj
11. Algorithms to combine these estimates and produce a xx are S+*
>""=
yqR]9"a
presented and justified. uo(LZUjPbN
12. The use of the method is discussed and an example is given. ]@~%i=.7
13. Results of an experimental applications of this xx analysis "p+JME(
procedure are given to illustrate the proposed technique. )`6OSB
14. This paper analyses problems in dp4vybJ
15. This paper outlines the functions carried out by ... 8L]Cc!~
16. This paper includes an illustration of the ... Sggl*V/q
17. This paper provides an overview and information useful for r]]:/pw?t
approaching Mb45UG#2
18. Emphasis is placed on the construction of a criterion function by B>sQcZ:
which the xx in achieving a hierarchical system of objectives are KTwP.!<v
evaluated. DyA1zwp}
19. The main emphasis is placed on the problem of xx \tY7Ga%c
20. Our proposed model is verified through experimental study. ?b93! Q1
21. The experimental results reveal interesting examples of fuzzy b *3h}n;
phases of: xx, xx `$FB[Z} &
22. The compatibility of a project in terms of cost, and xx are likewise =NSunW!
represented by linguistic variables. :_`Yrx5
23. A didactic example is included to illustrate the computational +q+JOS]L
procedure ooP{Q r
Chapter 1. Introduction P%
8U
Time |;^$IZSsz
1. Over the course of the past 30 years, .. has emerged form intuitive lHHx D
2. Technological revolutions have recently hit the industrial world Kaaz,C.$^
3. The advent of ... systems for has had a significant impact on the M
9NT%7Il
4. The development of ... is explored y,@yaM}-/K
5. During the past decade, the theory of fuzzy sets has developed in a h
cu\c+ A
variety of directions 73_-7'^mQ
6.The concept of xx was investigated quite intensively in recent years ed`7GZB
7. There has been a turning point in ... methodology in accordance )@!T_#
with the advent of ... *)oBE{6D
8. A major concern in ... today is to continue to improve... 3JqGLR`z3
9. A xx is a latecomer in the part representation arena. zAev@+.ld
=
C/F26=|
10. At the time of this writing, there is still no standard way of xx |cC&,8O:{
11. Although a lot of effort is being spent on improving these K@:Ab'(P^|
weaknesses, the efficient and effective method has yet to be @\>7
wt_'
developed. 3df5
e0
12. The pioneer work can be traced to xx [1965]. |`fuu2W!
13. To date, none of the methods developed is perfect and all are far ;Cjj_9e,:
from ready to be used in commercial systems. y(E<MRd8V
Objective / Goal / Purpose q-,`\
TS
1. The purpose of the inference engine can be outlined as follows: H
]!P[?
2. The ultimate goal of the xx system is to allow the non-experts to -.L )\
utilize the existing knowledge in the area of manual handling of loads, a4Z e!l(
and to provide intelligent, computer-aided instruction for xxx. @hrIu" '!
3. The paper concerns the development of a xx DG&aFmC
4. The scope of this research lies in ,p!IFS`
5. The main theme of the paper is the application of rule-based L:Mjd47L
decision making. &5[+p{2
6. These objectives are to be met with such thoroughness and pRUQMPn (
confidence as to permit ... SwaPRAF
7. The objectives of the ... operations study are as follows: yL
-}E
8. The primary purpose/consideration/objective of VZtFgN$J
9. The ultimate goal of this concept is to provide ;>F1?5P{
10. The main objective of such a ... system is to yJ6g{#X4K<
11. The aim of this paper is to provide methods to construct such LB9W.cA
probability distribution. `0MQL@B
12. In order to achieve these objectives, an xx must meet the _A0X[}^K
following requirements: %%)y4>I
13. In order to take advantage of their similarity j*;.>akY7
14. more research is still required before final goal of ... can be TmM~uc7mj
completed Z%=A[`5]
15. In this trial, the objective is to generate... 4gUx#_AaG
16. for the sake of concentrating on ... research issues !4 lN[
17. A major goal of this report is to extend the utilization of a recently &] xtx>qg<
developed procedure for the xx. !,]c}Y{i
wbh=v;
18. For an illustrative purpose, four well-known OR problems are 9\=SG"e(
studied in presence of fuzzy data: xx. G%=
gCR
19. A major thrust of the paper is to discuss approaches and 9wO2`e )
strategies for structuring ..methods
C?'s
20. This illustration points out the need to specify F~bDg tN3
21. The ultimate goal is both descriptive and prescriptive. 3
f~znO
22. Chapter 2. Literature Review <U\8&Uv>
23. A wealth of information is to be found in the statistics literature, 7VWy1
for example, regarding xx !@y/{~Gu
24. A considerable amount of research has been done .. during the F2EX7Crj
last decade >J)4e~9EJ2
25. A great number of studies report on the treatment of jpTk@
uncertainties associated with xx. !-
5z 1b)
26. There is considerable amount of literature on planning G|"m-.9F
27. However, these studies do not provide much attention to 5@I/+D
uncertainty in xx.
a0Fq$
28. Since then, the subject has been extensively explored and it is , q{~lf-
still under investigation as well in methodological aspects as in -dfs8 [i
concrete applications. FP*kA_z$
29. Many research studies have been carried out on this topic. LB}J7yEQvj
30. Problem of xx draws recently more and more attention of system !T8sWMY
analysis. crSqbL
31. Attempts to resolve this dilemma have resulted in the yx ;K
&>
development of _Vt(Eg_\
32. Many complex processes unfortunately, do not yield to this /g!Xe]S
s
design procedure and have, therefore, not yet been automated. NVB#=!S
33. Most of the methods developed so far are deterministic and /or ;W FiMM\
probabilistic in nature. k72NXagh
34. The central issue in all these studies is to y|3("&)"S
35. The problem of xx has been studied by other investigators, pE X Q
however, these studies have been based upon classical statistical v#: ?:<
approaches. 6BEDk!
36. Applied ... techniques to k5+ Fxf
37. Characterized the ... system as 2:e7'}\D.
U9awN&1([
38. Developed an algorithm to Dqd2e&a\
39. Developed a system called ... which "s(|pQh;
40. Uses an iterative algorithm to deduce 6KD-nr{S
41. Emphasized the need to ZW@cw}
42. Identifies six key issues surrounding high technology CLJn+Y2
43. A comprehensive study of the... has been undertaken @uG/2'B(
44. Much work has been reported recently in these filed IH5^M74b
45. Proposed/Presented/State that/Described/Illustrated/ roe_H>
Indicated/Has shown / showed/Address/Highlights &h=f
46. Point out that the problem of W2M[w_~QE
47. A study on ...was done / developed by [] j_0l'S aj
48. Previous work, such as [] and [], deal only with N$.ls48a4-
49. The approach taken by [] is M8y|Lm}o
50. The system developed by [] consists G9K& }_,
51. A paper relevant to this research was published by [] ")nKFs5
52. []'s model requires consideration of... -_]Ceq/
53. []' model draws attention to evolution in human development QXEZ?gx
54. []'s model focuses on... yC4%z)t&R
55. Little research has been conducted in applying ... to ~*Y/#kPY
56. The published information that is relevant to this research... \{ C
~B;=
57. This study further shows that :R$v7{1
58. Their work is based on the principle of (#>Q#Izr
59. More history of ... can be found in xx et al. [1979]. .f!:@fX>=
60. Studies have been completed to established #]^M/y
h
61. The ...studies indicated that [[]NnWJ
62. Though application of xx in the filed of xx has proliferated in I7t}$S6
recent years, effort in analyzing xx, especially xx, is lacking. o_[I#PT
Problem / Issue / Question NL!xkcXO
63. Unfortunately, real-world engineering problems such as vB5mOXGN q
manufacturing planning do not fit well with this narrowly defined JxM32?Rm*w
model. They tend to span broad activities and require consideration )5o6*(Y
of multiple aspects. 'kg~#cf/+
64. Remedy / solve / alleviate these problems oDGBC
67. ... is a difficult problem, yet to be adequately resolved !9j6l0
]2|KG3t
68. Two major problems have yet to be addressed -;i:bE
69. An unanswered question {`Mb ),G
70. This problem in essence involves using x to obtain a solution. vH E:TQo4
71. An additional research issue to be tackled is .... eq9qE^[Z&
72. Some important issues in developing a ... system are discussed 6QP T
73. The three prime issues can be summarized: jDj=a->e^
74. The situation leads to the problem of how to determine the ... \
Z~
<jv
75. There have been many attempts to X6?Gxf,
76. It is expected to be serious barrier to 9R&.$5[W(s
77. It offers a simple solution in a limited domain for a complex PX?^v8wlqL
problem. A!$sOp
1. There are several ways to get around this problem. =
H}}dC<)
2. As difficult as it seems to be, xx is by no means new. Jr>Nc}!U
3. The problem is to recognize xx from a design representation. f
uH3C~u7<
4. A xx problem can trace its roots to xx. ye| 2gH
5. xx [1987] used a heuristic approach to simplify the complexity of ZMK1V)ohn
the problem.
PK_2
6. Several problems are associated with them. Z_T~2t
7. Although some progress has been made in this area, at least two a3He-76
major obstacles must be overcome before a fully automated system :/}=s5aQl/
can be realized. V:g XP1P
8. Most problems in practice are complicated F-Ku0z]){?
9. More problem surface here. Imo?)dYK
10. Hamper effort toward a xx system pT;
xoe
11. In order to overcome the limitations due to incomplete and Ti#x62X{
imprecise xx knowledge, a xx program has been developed, which .e5rKkkT
bases its knowledge upon the statistical analysis of a sample MLmv+
population of xx of`WP
12. The above difficulties are real challenges faced by researchers fs#9*<]m
attempting to develop "m}N
hoD4
13. This type of mapping raises no controversy to the issue of 7TZ,bD_
membership function determination. +#@2,
14. However, attempts to quantify the xx have met both theoretical xp"F)6
and empirical problems. (~
:ip)v
t0T#Xb
15. It has become apparent that in order to apply this new `O?j -zR
methodological framework to real-world problems and data, we have asbFNJG{
to pay attention to the problems of xx and xx. qqu]r
Chapter 3. Proposed methodology &tlU.Whk+
Assumption <!?ZH"F0
1. In the case when the assumption of a xx seems to be too _^F%$K6
restrictive or inadequate, the formulation with Fuzzy termination nA+gqY6 6|
time, i.e. given by a fuzzy set in the space of control stages, may be _P=L| U#C
applied. 7t6TB*H
2. We assume here the fuzzy constraints to be state-dependent, and s09 &A]G
the fuzzy goal to be the same for all the control states, xx, which x0q`Uc
stems from the problem's nature. ^O3p:X4u
3. An approach to the solution of this problem is presented under the HU-#xK
assumption that the sampling rate Decision can be made prior to the c+UZ UgP
execution of the experiment, as opposed to being made while the RM!VAFH
experiment is in progress. F\+!\b*lP
4. Another assumption made above is that there are precise odds at +`.,6TNVlY
which the expert is indifferent. d-#yN:}0
5. Main simplifying assumptions are: ],f%:
?%50
6. This, in our view, is a questionable assumption. 3O?[Yhk`.
Outline / Structure / Module <+ckE2j
1. An outline of the research )`<7qT_BM
2. Information is incorporated within the scheme bm(.(0MI
3. Is built into ... structure >]?!9@#IH
4. A nice modular structure. oBWa\N
5. The principles of ... are applied as modularized criteria JE[J}-2
Classification Y9nyKL
1. A xx system comprises three main components: >F;yfv;
2. Must decompose the original .. into a set of .. ~P+;_
3. Consists of the following steps: /m+.5Qz9)@
4. This is summarized in the following steps: E
<h9o>h
.&n;S'
;"
5. Can be broadly classified into the following areas: r-c1_
[Q#
6. Can be characterized by its function of effectively processing the Zex`n:Wl?j
7. Can allow further breadth of application of ...into more >2LlBLQ
8. The following steps should be followed 3>G"&T{
9. xx can be classified by a different ways. e&F=w`F\
10. Based on the xx, one may classify xx into the following:
l AZBlO
11. This catalog may change due to wear, breakage, and purchasing. )|L#i2?:
System 604^~6
1. Unlike many conventional program, expert systems do not vN`JP`IBx
usually deal with problem for which there is clearly a right or wrong cmbl"Pqy1
answer. #:}mi;{
2. The system consists of both ... and ... WlnS.P\+E
3. The system has a hierarchical modular architecture organized on D?
FWSv
three levels. EL1*@
4. expert system domains are area of expertise f5hf<R),A
5. To develop a xx system for xx, the following factors must be 8jU6N*p/
considered: +cx(Q(HD\
6. The system has been developed / designed to determine 8jfEvwY
7. The system has proven to be able to H.[t&VO
8. The domain in which an expert system operates is a particular 3+WostOx
domain $h8,QP
y
9. The system comprises a ... with *aS[^iX?s
10. The system is [feature-oriented ] / based on the ... technique K.: :P84m;
11. The system environment must be relatively stable %2EHYBQjN
12. The system is utilized to generate, load, store, update and !vH={40 ]
retrieve ... BZAF;j
13. The development of a xx system has two stages: xx stage and xx n3
JSEu;J
stage. 7xjihl3
14. The most essential part of .. system is the ... TWTh!
15. The successful developments in ESs have made them an Th
J`-Ro
important tool in the development of k|[86<&[
16. An automated system was developed for 8Xk,Nbcqt
17. In this case, the system can be considered to be generative. jK-usn
<%EjrjdvL+
18. An interactive automatic ... system L<H6AzR+
19. A …. is commonly thought of as a truly integrated .. system p)w{}@%r
20. Should be capable of being generated from a ... system c-bTf$6}
21. xx is an important part of the integrated system. :`20i*
22. The model consists of four rule bases, each of which addresses a XZ[3v9?&n
separate problem in the hierarchy of scheduling decision. 9Ts
r
g
23. The rule bases are linked to each other in a chin-like manner in K:8.
Dvn
the sense that the consequent of one rule base constitutes a part of uT2w2A;
the antecedent of the next rule base. OIdoe0JR:O
24. The rule base consists of all possible combinations of the NJ$c0CNy
linguistic terms associated with the linguistic variable of the tboc7Hor4
antecedent of a rule. f`"@7-N
Computer System $qy ST
1. The system has been implemented using Prolog language in an +a}>cAj*
MS-DOS environment. Prolog was chosen because it offers a well k#pNk7;MZ
known and flexible environment in which fuzzy reasoning may be xr).ZswQ
easily implemented. h$rk]UM/Q
2. The current version of the xx program when compiled with mZ}C)&,m2
WATFOR77 results in an executable code of about 270K bytes. +DA,|~k_
Typical run time, when run on a XX computer (an IBM compatible muKCCWy#
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min Xwt}WSdF`k
to 2h, depending on the size (or complexity) of the problem. Q 2nqA1sRk
3. Time consuming procedures have been implemented in 2r>I,TNHl
C-language and directly linked to the Prolog environment. 31=vUS
4. The xx process, once the xx's data has been entered, requires BhCOT+i;c
approximately 180 seconds. 2L|)uCb
5. It should be noted that the computation was done with a 20 Hhz, 5;Q9Z1
`
80386..209;based microcomputer equipped with a 80387 math %:/?eZ
co-processor. (H-}z`sy/@
6. The computer programs used for the analyses, one based on the xx w-?|6I}T
method and the other based on the new method, were written in iK3gw<g
FORTRAN with a compiler that supports the math co-processor. Yi+$g
7. Lisp, Prolog give maximum flexibility but also maximizes 7o4B1YD
bA8RoC
development time. q_[V9
l Internal representation is the way a model is represented in the +[Zcz4\9
computer. &JHqUVs^
l An interactive menu-driven procedure is used in this study /j:fc?yv
l Shell can be develop very fast at the cost of time fairly severe E
(bx/f
limitations. DfV'1s4y
l While there is no measurable saving of time for the case involving XVWVY}
five criteria, the saving is dramatic for the case involving 10 criteria Gn}^BJN
-- the computation time reduces from 10 hr 40 min to about 1 min. h&j9'
l This combination is being implemented in an objected-oriented CGY,I
UG
programming environment (Smalltalk-80 system) to solve problems SvN2}]Kh
encountered in construction xxx. 3}25=%;[
Method / Approach / Study / Process Model / Equation /Algorithm / cLyed3uU
Rule / Formula / Technique AAPfU_:
^
l A discussion is presented of a problem-solving system BFH=cs
l To improve the efficiency of the method, the following approach _l||69|.
may be applied. =VOl
*
l In order to an investigation was made to find the causes of the `6QQS3fk!
l Although large collections of rules and equations have been 6 Z7J<0
complied, none are generally accepted =]<JkWSk
l This approach will be explained and discussed thoroughly in the (X( c.Jj
body of the report. +U= !svE
l This can be accomplished by Z g~6
l This algorithm to compute the total cost can be described step by B#Z-kFn@
step as follows: 9_I#{?
l The above preliminary analysis has provided important d 0CFMy6
information tFKR~?Gc
l Various methods have been proposed for selecting an optimum... }}MZgm~U)
l These concepts have been applied to os~}5QJ
l On the basis of the concept mentioned above, )'Yoii{dSU
l This can be achieved by TVEFZ\p<A
l This fact suggests that a new concept !-B
r?
l This was accomplished by taking ... KuohUH+
gg}^@h&?
l The preparatory stage is very time consuming process. r(ufyC&
l Test are performed for validity, completeness, and compatibility aB+B1YdY"
l There is little hope of achieving successful ... v'W`\MKY)
l There has been an increasing awareness of the potential of using ^tY$pPA
most ..so far made have not taken this approach, with the exception 5*31nMP\
of >(:b\*C
l Only a few studies can be found. {%Ujp9
i
l It is a very tedious process to go through LJII7<k
l It is only when .. has been completed that .. may be effected %V&I${z
l The entire interpretation process is conducted in one's head. jtFet{
l These approaches are sometimes very tedious. $bi@,&t;
l Several techniques can be used }R]^%q @&
l A polynomial parametric model can be written as [the b/dyH
following]/[follows]: *)H&n>"e
l A xx model is constructed/formulated using xx. v'zj<|2
l A xx model represents an xx by its xx. u]%>=N(^2
l A process decision model captures the logic essential to {f
}4l
l From the equation above, xx is equal to the summation of xx L4,Ke
times the ... F9&ae*>,
l The validity of a xx model can be checked using Euler's formula. OK"
B`*
l Given a model, one can mathematically determine whether ... or ... \d)~. 2$G*
l Equations for xx need to be derived and implemented in the sXaIQhZ
system. ;uazQyo6
l A number of heuristic rules have been developed for wWNHZv&
l Optimum .. techniques can be made more reliable by ... so that z
nc'
l An algorithm based on the characteristic ... is used to determine -n `igC
l Euler's formula states the following: $SmmrM
l The completed model should agree with the formula. T]fu[yRVvg
l For manufacturing purposes, a detailed and precise model of the VY9|8g/
object is necessary
`=h`:`
l Engineering design models are very well defined; therefore, $"/xi `
l To keep the domain narrow enough to be implementable, yet wide oT\u^WU
enough to '
`*{ig
be useful. krC4O2Fkj
UA|A>c
Point of View z$>_c"D
l from an implementation standpoint, ( IXe555
l From the point of view of this application, TFWx(}1
l From this point of view, Zadeh suggested an inference rule named =nYd|Ok
xxx (CRI for short). -H3tBEvoI
l Information is the meaningful interpretation and correlation of +hIStA
some aggregation of data in order to allow one to make decisions. w<hw>e^.
l From a practical point of view, the computational aspects of an lKd+,<
FLC require a simplification of the fuzzy control algorithm. G' ~Z'
l The use of a hammer to insert screws, although partly effective, =Kv*M@
tends to distort, destroy, and generally defeat the purpose of using a .
_5g<aw;
screw [Kusiak AI Implications for CIM p.129] VV*Z5U@b
Justification N;9m&)@JR'
l We choose the so called xx in our experiment because it has swBgV,;
received wide acceptance and can cViEvS r
l Prolog was chosen because it offers a well known and flexible w~NQAHAvo
environment in which fuzzy reasoning may be easily implemented. w(QU '4~
l The rationale behind this is that it can be much easier for an Awo H d7M
estimator to rate a cost as high than to attempt to place a dollar UJXRL
value on the estimate. fWx
%?J
l This strategy has been widely used in fuzzy control applications $r`^8/Mq3
since it is natural and easy to implement. kCXQHX
l A function definition expresses the membership function of a OS k+l
fuzzy set in a functional form, typically a bell-shaped function, etc. J6eF7 fa
Such functions are used in FLC because they lead themselves to
`.dX@<
manipulation through the use of fuzzy arithmetic. U{vt9t
l It should be noted that in our daily life most of the information on '~HCYE:5
which our decisions are based is linguistic rather than numerical in "K3"s Ec%
nature. Seen in this perspective, fuzzy control rules provide a natural $TON`+lB
framework for the characterization of human behavior and decisions ,m| :U
analysis. |H`}w2U[j
l Many experts have found that fuzzy control rules provide a DQ'=$z
>h^CC*&'pw
convenient way to express their domain knowledge. This explains 4K_rL{s0U
why most FLCs are based on the knowledge and experience which F?UI8
are expressed in the language of fuzzy "if-the" rule. d"K~+<V}
Chapter 4. Examples s}8(__|
Example/ Data EwvW: t1
l The data used in the following example was taken from an J9!}8uD
experiment in which xx was measured between x and x using a xx Y$3 &?LA
technique. (twwDI
l The data consists of over xx measurements. KxyD{W1
l An example of xx is discussed and the control rules of xx are T5*
t~`bfU
compared with a xx bC_qoI<
l Examples of complex processes to which this technique may be Akar@ wh
applied are xx, xx, etc. z_Em%
X
l The following example is constructed only for the purpose of v2OK/W,0
illustrating the computational procedure discussed. +m|S7yr'
l This example clearly demonstrates that the profile of an individual =<,>dBs}\
xx, or a very small group of xx, with no enough data to be studied Y nD_:ZK
statistically, can be meaningfully analyzed by fuzzy possibilistic *P\$<4l
methods. \"L
;Ct
8
l There is no space here to go into detail on all these methods, but _ELuQ>zM]+
deserve a mention and the bibliography will point to detailed %2H0JXKa,
references for those wishing this level of detail. 5k%GjT
l Note that the golf ball spotting example is used throughout the .[%^~q7
paper. S511}KPbm/
Comparisons MHl
ffj
l As well, the pros and cons of these representations from a process Pu|PIdu!08
planning point of view will be discussed.
;iol 2
l The method of using xx to implement xx described by Zadeh %pikt7,Z~
(1973) appeared more suitable $w,O[PIi
l As discussed [in the previous section]/[preciously], F0.Rv):
Q9Tt3h2ga
Relation wSy|h*a,
l We can not invert F' directly because it defines a many-to-one y\a@'LFL
mapping. B^7B-R
Bi0
l The relationships appear very complicate dBWi1vTF
l Lifting tasks involve complex and imprecise relationship between wBuos}/
the task variables and the human operator's characteristics.
=,MX%-2
l These methods are based on the relationship between ... and ... g!QX#_~Il
l The fundamental concept of a fuzzy rating language is that we can Ihn#GzM?u
establish a relationship among terms such as high, medium, and low, `@_jDo
and then modify these relationships. 0uZL*4A+C
l This article will thus mention the latter as well as the former. ??]b,f4CNa
l The former two bear a close relation to a fuzzy Cartesian product. qsA`\%]H
Importance ;bYpMcH
l The emphasis is on an implementation of a general approach to a<E\9DL
rule based decision making. {uCXF~v
Consideration / Attention Kggc9^ 7
l Careful evaluation is necessary to ensure ,J@A5/B,AA
l Such a formulation does not change further considerations. PHxU6UPqy
l Considerable attention has been paid to J4) ?hS
l Attention should be paid to an important finding of this iBXS
investigation. }J ^+66{
l Caution should be exercised in this process to avoid ... >)j`Q1Qc\
l Primary consideration is given to ... components, though others nb30<h
can be accommodated WV8vDv1jt
l After ... has been defined by ..., a carefully analysis is carried V[#$Sz[G
out/performed to determine ;irAq|
l A number of factors such as ...need to be taken into consideration i)1013b
before making the appropriate decision.
W#bOx0
l It should be noted that PAy/"R9DT-
l It is important to point out that ... 2:jWO_V@
l These considerations have heightened interest in the possibility of %7v!aJ40
providing ... J=?P`\h
@Rw]boC
l We should stress the fundamental importance of the xx \c\z 6;j
Chapter 5. Results. Zsto8wuf#
Advantages / Disadvantage "nA~/t=
l One of the major advantages of this new measure of xx is that it &~&oB;uR
can be applied to the experimental study of }8Yu"P${Y
l One advantage of using a .. is the ease of preparing it. 2]V&]s8Wi=
l The xx system is versatile ec&K}+p
@
l It has a very fast decision making process {%BPP{OFk
l All the algorithms involve mostly logical operations. (&!x2M
l It can be easily and without additional cost implemented in a 1~ZFkcV_C
microprocessor-based environment. =`OnFdI
l It can reduce the waste of designing from scratch. }G ^nK m
l The advantages of using a xx to represent xx are the following: % pQi}x
l However, xx is not without its shortcomings. Xk9 8%gv
l In most cases, the xxx shows an improvement over the existing Oq[YbQ'GE
xxx. {lbNYjknS
l Compared to the existing xx, the impacts of the xx are generally 1xDh[:6
reduced by 5% to 9%. +GL[uxe"
l The "best case" results shows a savings of 6% to 9%. VJSkQ\KD
l Most of the existing works based on xx approach can only f taa~h*
recognize a xx . BV
)) #D9
l Most of the above methods are computational expansive and 5I&Dk4v
limited to xx. &W{<Yf9
l Some other advantages of xx are the following: sf Zb$T
J
l The problem is the limitation of this method to a limited domain of )S^[b2P]y_
parts. u+m9DNPF
l It proved limited in application because it demanded precision in 5"&=BD~D
system modeling that was impossible in practice. ke19(r Ch
l There are advantages to be gained in the structuring of costs and X}Fqif4A
benefits, the use of xx, hg-M>|s7
l The disadvantages of this method are also disadvantages of 9.wZhcqqU
conventional xx approaches. `B/74Wa3q
b!T-{
Ns6
l This combines the best features of both techniques g4Nl"s
*~
l Hopefully, this tool can be as the reference framework of for %+oV-o\ #A
developing a xx platform, and helping the administration, marketing, &F.L*
M
and knowledge management activities in virtual communities. a,eEP43dn
Results >"[Nmx0;w
l An improvement on the result shown above can be made by based 5Un)d<!7&u
on the data provided _xGC0f (
l Discussion of these theories is beyond the scope of this review ,[[Xo;q
l Based on the information contained in this 1IN^,A]r2h
l The result can be categorized into nine classes )v %tyU
l The results are illustrated by an example Pv\-D<&@m
l The experimental results for each xx time are reported in Table 2. gp-rTdN
l From the results obtained so far, it seem that 87rHW@\](
l Because of the inaccuracy of the ..., a conclusion cannot be drawn ,|?rt`8)Q
as 7Mb-v}
l Although much effort has been made to., this reality is far from .xe+c
K
completion. %$F_oO7"
l The results indicate that the total benefits are higher than the PoZx
T-U
total costs. O)INM
l Their results may then serve as guidelines for lower level models, vvP]tRZ
less fuzzy and more detailed. kyL]4:@W`
Chapter 6. Conclusion 8@]vvZ2/gj
l From the discussion, one may conclude that ... -*;JUSGh
l Form the above discussion, the conclusion can be reached that :z2G
a
l The conclusions drawn are also valid tJpK/"R'
l In conclusion to this, it becomes obvious that the problem of xx ldr~=<hsZ
lies not only in... W_[ tdqey
l We have attempted to introduce some concepts associated with a *rmM2{6
theory of ft?c&h;At
xx based on fuzzy sets. R T/)<RT9
l Considerable more work, hopefully, will be done in this area 3ZhuC".c
l A fuzzy set procedure is proposed to solve xx selection problems .}n\c%&
Ie/dMB=t
interwoven with imprecise data U4h5K}j4
l Employing the compositional rule of inference, the assessment of vvF]g.,
the xx compatibility in achieving prescribed xx projectiles in any U<wM#l
P|Z
level of the hierarchy is made possible. &e99P{\D
l This paper has presented a theoretical and experimental study of G.>Ul)O:a
the xx process and xx concept. "f>`ZFp^
l The experimental research results will hopefully serve as useful !mK}Rim~
feedback information for improvements for xx work. jAf
qC@e
l The scope of this contribution was to introduce a xx method. 3+H[S#e:Z
l In general, fuzzy sets theory provides an alternative foundation mj&$+z M>
for xx analysis in a fuzzy environment. PBgU/z
Vn
Future Research Y/y`c-VO
l Thus, first extension of the approach could be, j{Sbf04
l Present some cues for a further approach from Fuzzy Sets Theory ["15~9
application to !wH'dsriD
l Some improvements to the scheduling aspect of the model may Uac.8wQh
be brought through additional levels in the hierarchy for more apWv+A
detailed representation of the scheduling activity. W('V2Z-q
Tables and Figures ~$m:j
];
l Figure 7-1 sketches these relationships. VCa`|S?2
l The graphical representation of these functions is shown in Figure +$#
ytvDy
1. EKNmXt1
lE
l The xx may be depicted as in Figure 1. <J-.,:
l Figure x shows the schematic diagram of the ebhV;Q.
l Figure 1 though 2 provide a ... that Pp`[E/
qj4
l the architecture of this expert system for .... is illustrated in Figure @P<aTRy,f
2. co{i~['u
l Figure 2 gives the outline of an ... system {}"a_L&[;
l Table shows the /g$8JL
l as shown in Table 1 and 2 iVA=D&eZ
l This concept is illustrated in Figure 2 U+:Mu]97
l At the top of Table xx are shown two blocks of data. t(xe*xS
UVgDm&FF
l Each table or matrix has constructs xx through xx as B]:?4Ov
row-headings, lfqsoIn;
xx through xx as column-headings. p%IVWeZnx
l A table of .. is developed and significant recommendations are !&pk^VFl+
made. JsDT
CONJUGATION zin'&G>l
To Indicate Addition fhmBKeFdV
l additionally, again, also, and then, as can be easily understood, eOJ_L]y-
besides, equally important, especially, finally, for the same reason, p+16*f9,^
first, further, furthermore, in addition, last, likewise, moreover, next, @*iT%p_L
second, third, too, evidently, obviously, roughly speaking, broadly 'W/AYF^5
speaking jm,:jkr
To Indicate Cause and Effect C^*}*hYk$
l accordingly, as a result, consequently, for this reason, hence, in C@ "l"
short, otherwise, then, therefore, thus, truly B*n_
VBd
To indicate Comparison f!J?n]
l in a like manner, likewise, similarly , alternatively L6J.^tpO
To Indicate Concession ET\rd5Po
l after all, although this may be true, at the same time, even though, @m9dB P
even so , I admit, naturally, of course 51`*VR]`K
To Indicate Contrast p?sFX$S
l and yet, at the same time, but, for all that, however, yet, in fact, in -P28pVX`
contrast, in the real life, in spite of, nevertheless, notwithstanding,
DlQ*'PX7
normally, on the contrary, on the other hand, still, traditionally, T*](oA
@
rather, unfortunately, #ib?6=sPC
To Indicate Time Relationships: *yN#q>1
after a short time, afterwards, as indicated earlier, as long as, as soon }a!c
{r:5\
as, at last, at length, at the moment, at that time, at the same time, Z%QU5.
before, earlier, currently, immediately, in the meantime, in recent oFp4*<\
years, lately, later, meanwhile, often, of late, presently, recently, lD,;xu
Q
soon, shortly, since, thereupon, temporarily, therefore, until, when, 'v%v*Ujf[
while <UbLds{+Uo
To Indicate Special Features or Examples: -8z@FLUK-
for example, for instance, incidentally, indeed, in fact, in other words, \8/$ZEom
in particular, in practice, specifically, that is, to illustrate, in this `$ZBIe/u
respect, theoretically, as mentioned before / above 3j/~XT
To Indicate Summary: _"lW
in brief, in conclusion, in short, in summary, on the whole, to hf5+$^RZ
conclude D()tP
, in general, to summarize, to sum up, as a result, ultimately, =[YjIWr#o
VERB PHASE ShJBOaE; -
l build a .. model A<[BR*n
l build up the key link Zn]!*}
l began a new era in ... c<5(c%a
l can be regarded as / achieved / used to/for / found / obtained ~D_Wqr
through c:`CL<xzU
l can result in $uYfy<
l carries out ... tasks xkfW^r
l production information in order to simultaneously ilkN3J
l contains all information necessary to describe DUvF
l do not make use of production information S
H;:bLk_
l deals with 7o$S6Y;c4
l end with failure d5qGTT ~a
l fetch the information from the model directly ""x>-j4
l has great potential / yet to be resolved / spurred the ^2"3h$DJfS
development of / . 12H/F
been recognized as @hOT<
Uo
l BE aimed at / built up / carried out by / essentially concerned 7>xfQ
Ex4)R2c*
with / considered to be the key technology / associated with each 2;`WI:nt
feature of a compo }/}eZCaG
site component / cable of / currently implemented for / K# BZ Jcb
demonstrated by an example / finally reached / made equal to / !_+ok$"d
equivalent to / more suitable to / oriented to / interpreted as / RBV*e9P%
pointed out / potentially of great benefit in the complex task of / UiH5iZ<r;
shown in / used to effectively guide the search V7$-4%NL
l makes use of -Rj3cx
l make up $im6v
l meets the needs of real life production,/ the current demands _!^2A3c<
placed upon it M b(hdS90
l must be justified mjJ/rx{kbw
l point out -\V;Gw8mD
l play an important role QUz_2rN^
l relates to ![/ QW
l rely on KBwY _
l satisfy the needs RKwuvVI
l determine the total requirements for the ... qWb 8"
l uses ... as a key to search for... YbP}d&L
l without relying on hpzDQ6-Y
l will be available/ performed/ overlooked (zIF2qY
NOUN PHASE Pt?d+aBtV
l a basic technical function of b0yNc:
l a critical need )C%S`d<%,
l a key / principle feature of L?r\J8Ch<
l a substantial impact on d2tJ=.DI
l an intensive review was conducted RbJbVFz8C
l an increasing need for expanding the application of .... Cp^%;(@
l an important component / function / aspect / issue y+P$}Nru
l each rule is numbered in sequence 7hfa?Mcz
l each of these involves yrV]I(Xe
l for this calculation, it is necessary to define f}{Oj-:"CC
l in the physical environment / integration of 95oh}c
y\}<N6
l in the reality of situations where … 4Q^i"jT
l many aspects of :1e'22[=.
l most past efforts have been spent on ... |n\(I$
l common sense to a well studied and documented technical field. tk'3Q 1L
l sources of additional information on ... are listed BH^8!7dkT
l systematic and rationally structured format lZ5TDS
l the basis on which a range of ...operations can be established is ^li(q]g1!
shown &-4S
A j
l THE basic philosophy / principles of / key element / general 7G9o%!D5
hypothesis / candidate list of / concept of ... has attracted wide I>45xVA
interest / function is concerned with / heart / impact / nature / role i-31Cxb
/ task of / kernel functions :qO)^~x
l the number of parts needed to @BS7Gyw
l the above statement means that Ol1P
l the output data is passed to KfMaVU=4P
l the proposed method / underlying principle r`!S*zK
l the recommendations made in this report, if implemented, should AX2On}&bf
l this information resides in -'Y@yIb
l this process is composed of ... different ... operation ^%2S,3*0
l along with the use of hYv;*]
l concerning general aspects of S`Wau/7t
l due to -MT.qhx
l for later use in generating...,
"xY]&
l in turn, y/yg-\/XF
l IT IS believed / noted / assumed / suggested / shown / quite ICB'?yZ,
evident / appears / implies that / intended for / of no important to O5 ?3nYHa
l it can be claimed/concluded that PvB-Cqc
l it demonstrates the decisions required of g;PZ$|%&s>
l it also provides information to .. T1c.ER}17
l it becomes essential to 6qp'
_?
l let ... be the probability that coFQu ;i
l once... is written, it is compiled into... a gM I$
l suppose it is observed that g7nqe~
`{
l this is because TWAt)
Q"J
p:q?8+W-r
l this results in a @8xa"Dc
l upon completion of the ... analysis, ,zU7U L^I
l when the knowledge is of mathematics or quantum physics, it will !$|
h[ct
also be b^I(>l-
recorded in books and papers RFqf$
l selection of rules for using the tools, for generating operation }iCcXZ&5^
plans, #K_E/~
is another matter of preference, since practice varies greatly. 0?d}Oj
l for the sake of convenience i!9|R)c
l correct decision to be reach mbh;oX+
l keeping the number of rules to a minimum. <fm0B3i?
l a good process plan will result exhibiting several characteristics: Kx@;LRY#
l practical solutions jVhfpS[
l because of rather small job lot sizes *)4`"D
l Backward reasoning can be used to answer the question "should E A8>{}Z*
milling tool be select" different level of knowledge in the realm of k%S;N{Qh@
process planning