英语论文写作常用经典句型
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Beginning O3Mv"Py%
1. In this paper, we focus on the need for jtY~-@*
2. This paper proceeds as follow. H12@12v
3. The structure of the paper is as follows. D:EF@il
4. In this paper, we shall first briefly introduce fuzzy sets and related `aycYoD
concepts #wiP
{+%b
5. To begin with we will provide a brief background on the ;#
j82
Introduction j@!}r|-T
1. This will be followed by a description of the fuzzy nature of the vDvGT<d
problem and a detailed presentation of how the required j
}l8k@f
membership functions are defined. D0i30p`
2. Details on xx and xx are discussed in later sections. i@L2W>{P
3. In the next section, after a statement of the basic problem, various ,&G
M\FTeb
situations involving possibility knowledge are investigated: first, an -~f.>@Wb
entirely possibility model is proposed; then the cases of a fuzzy 7bS[\5
service time with stochastic arrivals and non-fuzzy service rule is 0g-ESf``{n
studied; lastly, fuzzy service rule are considered. p\S3A(
Review eUlb6{!y?
1. This review is followed by an introduction. >,Z{wxzJ
2. A brief summary of some of the relevant concepts in xxx and xxx is I1 O?)x~
presented in Section 2. AAgA]OD,
3. In the next section, a brief review of the .... is given. GR
`ncI$z
4. In the next section, a short review of ... is given with special regard P.DWC'IBN
to ... /|AuI qW
5. Section 2 reviews relevant research related to xx. mM>|fHGA
6. Section 1.1 briefly surveys the motivation for a methodology of Hc|U@G
action, while 1.2 looks at the difficulties posed by the complexity of x$DJ
systems and outlines the need for development of possibility @un
}&URp
methods. /GGu` f
Body ]{^vs'as
\
1. Section 1 defines the notion of robustness, and argues for its krc!BK`V
;(6lN<iU
importance. !H\GHA'DO]
2. Section 1 devoted to the basic aspects of the FLC decision-making }*
JMc+!9@
logic. x`i`]6q
3. Section 2 gives the background of the problem which includes xxx );H[lKy
4. Section 2 discusses some problems with and approaches to, Ct+%
natural language understanding. ,6\f4/
5. Section 2 explains how flexibility which often ... can be expressed Q@VnJ,
in terms of fuzzy time-window L-{r*ccIW
6. Section 3 discusses the aspects of fuzzy set theory that are used in g>P9hIl
the ... 6qpV53H
7. Section 3 describes the system itself in a general way, including I]1Hi?A2
the ….. and also discusses how to evaluate system performance. KdsvZim0>
8. Section 3 describes a new measure of xx. h xJgxM
9. Section 3 demonstrates the use of fuzzy possibility theory in the wJ*-K-
analysis of xx. X.9MOdG70
10. Section 3 is a fine description of fuzzy formulation of human ruA+1-<f
decision. H-KwkH`L4
11. Section 3 is developed to the modeling and processing of fuzzy @"Fp;Je\bN
decision rules dN/ "1%9)
12. The main idea of the FLC is described in Section 3 while Section 4 |aAWWd5
describes the xx strategies. ;VlZd*M?
13. Section 3 and 4 show experimental studies for verifying the b_gN?F7_
proposed model. 'EET3RK-S
14. Section 4 discusses a previous fuzzy set-based approach to cost 7e{X$'
variance investigation. /,N!g_"Z
15. Section 4 gives a specific example of xxx. Bx : So6:
16. Section 4 is the experimental study to make a fuzzy model of ^ lc}FN
memory process. K[>@'P}y
17. Section 4 contains a discussion of the implication of the results of &Pg-|Ql
Section 2 and 3. jw(>@SXz
18. Section 4 applies this fuzzy measure to the analysis of xx and %X,B-h^
illustrate its use on experimental data. _[vdY|_
19. Section 5 presents the primary results of the paper: a fuzzy set tGO[A#9a
model .. K
l0t
yeT
v;bP8)mI
20. Section 5 contains some conclusions plus some ideas for further [[0bhmG)
work. -Mi}yi
21. Section 6 illustrates the model with an example. H(NT|
22. Various ways of justification and the reasons for their choice are sE%<"h\_0
discussed very briefly in Section 2. x
!:9c<
23. In Section 2 are presented the block diagram expression of a Q),3&4pM
whole model !(]dz~sM
of human DM system FSU%?PxO
24. In Section 2 we shall list a collection of basic assumptions which BU]WN7]D$
a ... scheme must satisfy. }6CXJ+-UR
25. In Section 2 of this paper, we present representation and .qIy7_^
uniqueness theorems for the fundamental measurement of fuzziness bQdSX8: !R
when the domain of discourse is order-dense. u
JQaHL!
26. In Section 3, we describe the preliminary results of an empirical Hw?2XDv j
study 'Uko^R)(
currently in progress to verify the measurement model and to 2B9i R
construct membership functions. G !1~i*P$u
27. In Section 5 is analyzed the inference process through the two i[2bmd!H
kinds of inference experiments... [*9YIjn
This Section aVppOxA
1. In this section, the characteristics and environment under which 97(Xu=tX
MRP is designed are described. XVrm3aj(m
2. We will provide in this section basic terminologies and notations Hbjb7Y?[
which are necessary for the understanding of subsequent results. f2O*8^^Y{Q
Next Section z/
Ns5
2. The next section describes the mathematics that goes into the \K?(
computer implementation of such fuzzy logic statements. 't|Un G
3. However, it is cumbersome for this purpose and in practical pHen>BA[
applications the formulae were rearranged and simplified as 1p7cv~#95
discussed in the next section. v[{8G^Z}54
4. The three components will be described in the next two section, sK`~Csb
iB
and an example of xx analysis of a computer information system will L$+d.=]
(C`FicY
then illustrate their use. e2AN[Ar
5. We can interpret the results of Experiments I and II as in the 1R=)17'O
following sections. PIZ
C;K4|
6. The next section summarizes the method in a from that is useful tZaD ${
for arguments based on xx -{X<*P4p
Summary [3O^0-:6E
1. This paper concludes with a discussion of future research r]A"Og_U
consideration in section 5. :/C ?FHs9
2. Section 5 summarizes the results of this investigation. (jU/Wj!q
3. Section 5 gives the conclusions and future directions of research. $%7I:
4. Section 7 provides a summary and a discussion of some extensions T4OguP=
of the paper. %55@3)V8Rf
5. Finally, conclusions and future work are summarized XR*Q|4
6. The basic questions posed above are then discussed and 9[cp7 Rcb
conclusions are drawn.
eeuZUf+~]
7. Section 7 is the conclusion of the paper. L|&'jH)
Chapter 0. Abstract 9YP*f
1. A basic problem in the design of xx is presented by the choice of a U'tE^W
xx rate for the measurement of experimental variables. 2Y400
2. This paper examines a new measure of xx in xx based on fuzzy ePf+[pV3
mathematics which overcomes the difficulties found in other xx (+|X<Bl:`
measures. OE_QInb<
3. This paper describes a system for the analysis of the xx. ;W]D ~X&
4. The method involves the construction of xx from fuzzy relations. =EQJqj1T
5. The procedure is useful in analyzing how groups reach a decision. EQ4#fAM)
6. The technique used is to employ a newly developed and versatile {vs 4vS6
xx algorithm. $:Rn;
7. The usefulness of xx is also considered. gX[|;IZ0o
8. A brief methodology used in xx is discussed. /QQ8.8=5
9. The analysis is useful in xx and xx problem. Ng\/)^
10. A model is developed for a xx analysis using fuzzy matrices. fX_#S|DlSG
11. Algorithms to combine these estimates and produce a xx are :z]}ZZ
3P1&;
presented and justified. :M06 ;:e
12. The use of the method is discussed and an example is given. zbNA\.y
13. Results of an experimental applications of this xx analysis P''X_1oMC
procedure are given to illustrate the proposed technique. ~4Pc_%&i
14. This paper analyses problems in ] /+D^6
15. This paper outlines the functions carried out by ... ^(ScgoXva
16. This paper includes an illustration of the ... \i!Son.<
17. This paper provides an overview and information useful for 6SVqRD<`
approaching h4/X
0@l`
18. Emphasis is placed on the construction of a criterion function by b.b@bq$1
which the xx in achieving a hierarchical system of objectives are %a];
evaluated. 5o#Yt
19. The main emphasis is placed on the problem of xx RsW9:*R
20. Our proposed model is verified through experimental study. $<|o
cUC7
21. The experimental results reveal interesting examples of fuzzy G/vC~6x
phases of: xx, xx c8{]]
22. The compatibility of a project in terms of cost, and xx are likewise pQMtj0(y
represented by linguistic variables. 2| B[tt1Z
23. A didactic example is included to illustrate the computational
eWvo,4
procedure /-4$7qd
Chapter 1. Introduction HSN8O@dy
Time I;7nb4]AmF
1. Over the course of the past 30 years, .. has emerged form intuitive 1f#mHt:(
2. Technological revolutions have recently hit the industrial world [BM*oEFPB*
3. The advent of ... systems for has had a significant impact on the
)zq.4
4. The development of ... is explored +Llo81j&
5. During the past decade, the theory of fuzzy sets has developed in a mM/i^zT
variety of directions :!fG; )=
6.The concept of xx was investigated quite intensively in recent years hXn3,3f3oZ
7. There has been a turning point in ... methodology in accordance 4 =Gph
with the advent of ... Bfr'Zdw
8. A major concern in ... today is to continue to improve... nmFC%p)4
9. A xx is a latecomer in the part representation arena. C+{l7QT$t
]"~51HQZ
10. At the time of this writing, there is still no standard way of xx k+^'?D--'P
11. Although a lot of effort is being spent on improving these KCuGu}
weaknesses, the efficient and effective method has yet to be Ad$n4Ze
developed. pS[KBQ"F
12. The pioneer work can be traced to xx [1965]. %ZP+zhn}
13. To date, none of the methods developed is perfect and all are far CHJ>{b`O
from ready to be used in commercial systems. v$wBxC
Y
Objective / Goal / Purpose vuQ%dDxI
1. The purpose of the inference engine can be outlined as follows: &~e
$:8+
2. The ultimate goal of the xx system is to allow the non-experts to lb*8G
utilize the existing knowledge in the area of manual handling of loads, _7T@5\b:;
and to provide intelligent, computer-aided instruction for xxx. o*g|m.SjL
3. The paper concerns the development of a xx m~ho
E8C$
4. The scope of this research lies in c`*TPqw(B[
5. The main theme of the paper is the application of rule-based (Y%Q|u
decision making. \C^;k%{LV
6. These objectives are to be met with such thoroughness and qU6nJi+-I
confidence as to permit ... Q7X3X,
7. The objectives of the ... operations study are as follows: k
n
[Y
8. The primary purpose/consideration/objective of
Ez~'^s@
9. The ultimate goal of this concept is to provide U$dh1;
10. The main objective of such a ... system is to COzyG.R.
11. The aim of this paper is to provide methods to construct such jjM\. KL]
probability distribution. =qy=-j]
12. In order to achieve these objectives, an xx must meet the KOz(TZ?u
following requirements: 2`GE
13. In order to take advantage of their similarity 7!y5
SX8C
14. more research is still required before final goal of ... can be E37<"(;
completed S [h];eM
15. In this trial, the objective is to generate... )}vNOE?X~
16. for the sake of concentrating on ... research issues ,j:|w+l
17. A major goal of this report is to extend the utilization of a recently h7*W*Bd
developed procedure for the xx. `U#55k9^5
ZQ^r`W9_+
18. For an illustrative purpose, four well-known OR problems are (/-hu[:
studied in presence of fuzzy data: xx. g,o?q:FL
19. A major thrust of the paper is to discuss approaches and mbnV[
strategies for structuring ..methods kF;DBN
20. This illustration points out the need to specify Uw,2}yR
21. The ultimate goal is both descriptive and prescriptive. ay "'#[
22. Chapter 2. Literature Review "s!7dKXI"
23. A wealth of information is to be found in the statistics literature, pj4!:{.;
for example, regarding xx {u1V|q
24. A considerable amount of research has been done .. during the [V'QrcCF
last decade wC `+
25. A great number of studies report on the treatment of |#1(Z-}
uncertainties associated with xx. qd8n2f
26. There is considerable amount of literature on planning O+}qQNe<
27. However, these studies do not provide much attention to WD Fjp
uncertainty in xx. :l|%17N
28. Since then, the subject has been extensively explored and it is mUS_(0q
still under investigation as well in methodological aspects as in &>e-(4Xu
concrete applications. :Mm3
gW)
29. Many research studies have been carried out on this topic. L?5Ck<!xG
30. Problem of xx draws recently more and more attention of system =K{\p`?
analysis. % QKZT=}
31. Attempts to resolve this dilemma have resulted in the JXyM\}9-X
development of c@v{`d
32. Many complex processes unfortunately, do not yield to this DW)2
m;
design procedure and have, therefore, not yet been automated. u,}{I}x_
33. Most of the methods developed so far are deterministic and /or J'N!Omz
probabilistic in nature. ]4;PR("aU
34. The central issue in all these studies is to kcb.Wz~=
35. The problem of xx has been studied by other investigators, R+&jD;U{
however, these studies have been based upon classical statistical x\Z'2?u}
approaches. ]p_@@QTC
36. Applied ... techniques to +3KEzo1=)
37. Characterized the ... system as
Z*-g[8FO
3e(ehLc4DJ
38. Developed an algorithm to K_K5'2dE
39. Developed a system called ... which H,N)4;F<c
40. Uses an iterative algorithm to deduce n u'M
39{
41. Emphasized the need to Mi]L]-L
42. Identifies six key issues surrounding high technology 0_CN/5F
43. A comprehensive study of the... has been undertaken 6M13f@v
44. Much work has been reported recently in these filed %;.;>Y(-
45. Proposed/Presented/State that/Described/Illustrated/ C-iK$/U
Indicated/Has shown / showed/Address/Highlights {dmj/6Lc
46. Point out that the problem of 2 !'A:;
47. A study on ...was done / developed by [] 3> Y6)
48. Previous work, such as [] and [], deal only with OK\A</8r
49. The approach taken by [] is H<^/Ati,|
50. The system developed by [] consists }[M`uZ
51. A paper relevant to this research was published by [] RIIitgV_
52. []'s model requires consideration of... =C~/7N,lW]
53. []' model draws attention to evolution in human development IEU^#=n
54. []'s model focuses on... y~75r\"R
55. Little research has been conducted in applying ... to &LbJT$}V
56. The published information that is relevant to this research... [ :zO}r:
57. This study further shows that +Z85HY{
58. Their work is based on the principle of /Ml.}7&
59. More history of ... can be found in xx et al. [1979]. ;X?mmv'
60. Studies have been completed to established IKi5 v~bE
61. The ...studies indicated that mW:!M!kk
62. Though application of xx in the filed of xx has proliferated in W8]lBh5~:
recent years, effort in analyzing xx, especially xx, is lacking. {c
(!;U
Problem / Issue / Question "I
Ql Vi
63. Unfortunately, real-world engineering problems such as =KR
NvW
manufacturing planning do not fit well with this narrowly defined HQB(
*
model. They tend to span broad activities and require consideration D_x+:1(
of multiple aspects. :hM/f
64. Remedy / solve / alleviate these problems Yh>
]-SCw
67. ... is a difficult problem, yet to be adequately resolved . Z%{'CC
PTEHP
68. Two major problems have yet to be addressed SXy=<%ed
69. An unanswered question C?2'+K
70. This problem in essence involves using x to obtain a solution. mVR P~:+
71. An additional research issue to be tackled is .... Lliq
j1&
72. Some important issues in developing a ... system are discussed $ >EYhLBa
73. The three prime issues can be summarized: aAB`G3
74. The situation leads to the problem of how to determine the ... tQylT0'[+o
75. There have been many attempts to $5*WLG&AK
76. It is expected to be serious barrier to {\(L%\sV@
77. It offers a simple solution in a limited domain for a complex 3.qTLga|}
problem. }6@pJG
1. There are several ways to get around this problem. tuhA
9}E
2. As difficult as it seems to be, xx is by no means new. nI*v820,
3. The problem is to recognize xx from a design representation. 'UYR5Y>
4. A xx problem can trace its roots to xx. (e[}/hf6
5. xx [1987] used a heuristic approach to simplify the complexity of s%W<dDINl
the problem. QV&D l_
6. Several problems are associated with them. dS<C@(
7. Although some progress has been made in this area, at least two ^/U|2'$'>E
major obstacles must be overcome before a fully automated system Lg+G; W
can be realized. =hMY2D
8. Most problems in practice are complicated 48*Do}l]
9. More problem surface here. o!!yd8~*r
10. Hamper effort toward a xx system pb=cBZ$
11. In order to overcome the limitations due to incomplete and 7K5P8N
,
imprecise xx knowledge, a xx program has been developed, which r9ww.PpNk#
bases its knowledge upon the statistical analysis of a sample wV^V]c ?U
population of xx (
)3O=!
12. The above difficulties are real challenges faced by researchers KFFSv{m[
attempting to develop [NTt
z
<i@
13. This type of mapping raises no controversy to the issue of =F;.l@:
membership function determination. Z>^pCc\lH
14. However, attempts to quantify the xx have met both theoretical ti<;7Yb
and empirical problems. U8G%YGMG.4
BouTcC
15. It has become apparent that in order to apply this new ^tCd L@$AS
methodological framework to real-world problems and data, we have <&:=z?30"
to pay attention to the problems of xx and xx. dH^ <t,v
Chapter 3. Proposed methodology w#g#8o>'
Assumption xu'yVt9RC
1. In the case when the assumption of a xx seems to be too DHY@akhrK
restrictive or inadequate, the formulation with Fuzzy termination K/}rP[H
time, i.e. given by a fuzzy set in the space of control stages, may be EVNY*&p
applied. PtTH PAKj
2. We assume here the fuzzy constraints to be state-dependent, and jr3ti>,xV
the fuzzy goal to be the same for all the control states, xx, which ?K3(D;5
&i
stems from the problem's nature. edK|NOOZ
3. An approach to the solution of this problem is presented under the }@^4,FKJ
assumption that the sampling rate Decision can be made prior to the "5,
execution of the experiment, as opposed to being made while the <Engi!
experiment is in progress. H~E(JLcU
4. Another assumption made above is that there are precise odds at nO)X!dp}J
which the expert is indifferent. Y9`5G%
5. Main simplifying assumptions are: O/!bG~\Y
6. This, in our view, is a questionable assumption. 5P'p2x#U
Outline / Structure / Module T]?n)L,2
1. An outline of the research :(H> 2xS,s
2. Information is incorporated within the scheme Z?O*'#yn
3. Is built into ... structure BY]i;GVq
4. A nice modular structure. OGY"<YH6
5. The principles of ... are applied as modularized criteria @e'5E^
Classification /P
2[:[w
1. A xx system comprises three main components: a:_I
2. Must decompose the original .. into a set of .. Tdc3_<1
3. Consists of the following steps: >pr=|$zk=
4. This is summarized in the following steps: >G 'SbQ8
7^Yk`Z?|a
5. Can be broadly classified into the following areas: 3<=G?of
6. Can be characterized by its function of effectively processing the Y1arX^Zb
7. Can allow further breadth of application of ...into more 8L1oh
j
8. The following steps should be followed C-?!S
9. xx can be classified by a different ways. X@|&c]]
10. Based on the xx, one may classify xx into the following: fkSwD(
11. This catalog may change due to wear, breakage, and purchasing. g5q$A9.Jl
System tM#lFmdd\P
1. Unlike many conventional program, expert systems do not o5n^!gi4
usually deal with problem for which there is clearly a right or wrong c c
answer. l)-Mq@V
2. The system consists of both ... and ... 1>Q'R
3. The system has a hierarchical modular architecture organized on ;2m<CSv!D
three levels. 8/"fWm/
4. expert system domains are area of expertise P6Mhbmt9*
5. To develop a xx system for xx, the following factors must be O0PJ6:9P
considered: K]xa/G(
6. The system has been developed / designed to determine S:61vD
7. The system has proven to be able to "Y=+Ls(3o(
8. The domain in which an expert system operates is a particular ++Ww88820
domain s[Ur~Wvn
9. The system comprises a ... with "EV!>^Z
10. The system is [feature-oriented ] / based on the ... technique vEG'HOP
11. The system environment must be relatively stable c={Ft*N
12. The system is utilized to generate, load, store, update and 9GdB#k6W`
retrieve ... 7}_!
13. The development of a xx system has two stages: xx stage and xx rbZ[!LA
stage. $Q+s
/4\
14. The most essential part of .. system is the ... J`*iZvW#Bx
15. The successful developments in ESs have made them an aJqeD'\>
important tool in the development of ggb|Ew
16. An automated system was developed for 8Q)@
17. In this case, the system can be considered to be generative. q/1Or;iK
s4H2/EC
18. An interactive automatic ... system rx :z#"?I
19. A …. is commonly thought of as a truly integrated .. system V|MY!uV
20. Should be capable of being generated from a ... system ,L OQDIyn
21. xx is an important part of the integrated system. Ejq#~
Zhr!
22. The model consists of four rule bases, each of which addresses a Ov82ibp_1
separate problem in the hierarchy of scheduling decision. iGXBqUQ:
23. The rule bases are linked to each other in a chin-like manner in +' oX
the sense that the consequent of one rule base constitutes a part of Bf4%G,o5
the antecedent of the next rule base. |vFj*XU
24. The rule base consists of all possible combinations of the "'Z- UV
linguistic terms associated with the linguistic variable of the $(q>mg:H
antecedent of a rule. P|jF6?C
Computer System _U)%kY8
1. The system has been implemented using Prolog language in an iz"3\{aN
MS-DOS environment. Prolog was chosen because it offers a well )yxT+g2!
known and flexible environment in which fuzzy reasoning may be %1:c hvS
easily implemented. sNU}n<J
-
2. The current version of the xx program when compiled with tu%[p 4
WATFOR77 results in an executable code of about 270K bytes. gd^Js1Z
Typical run time, when run on a XX computer (an IBM compatible q
S8B##x+=
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min DHfB@/
q#
to 2h, depending on the size (or complexity) of the problem. W$?e<@
3. Time consuming procedures have been implemented in k<4
P6?
C-language and directly linked to the Prolog environment. PoD^`()FR{
4. The xx process, once the xx's data has been entered, requires `EMi0hm&H
approximately 180 seconds. "2Op[~V
5. It should be noted that the computation was done with a 20 Hhz, %(LvE}[RJ
80386..209;based microcomputer equipped with a 80387 math s'_,:R\VM>
co-processor. d34Y'r
6. The computer programs used for the analyses, one based on the xx S]2 {ZDP
method and the other based on the new method, were written in N?23 m`3
FORTRAN with a compiler that supports the math co-processor. r[HT9
7. Lisp, Prolog give maximum flexibility but also maximizes uMFV%+I
ehOs9b
development time. _ 6:ww/
l Internal representation is the way a model is represented in the p#H]\P'
computer. m@oUvxcd
l An interactive menu-driven procedure is used in this study uu}-"/<~7
l Shell can be develop very fast at the cost of time fairly severe 3eg5oAZ)G8
limitations. ,d
7Z
l While there is no measurable saving of time for the case involving *W^=XbG
five criteria, the saving is dramatic for the case involving 10 criteria #/WAzYt{
-- the computation time reduces from 10 hr 40 min to about 1 min. ,k*F`.[
l This combination is being implemented in an objected-oriented w:Q|?30
programming environment (Smalltalk-80 system) to solve problems AMk~dzNt
encountered in construction xxx. iVeQ]k(u
Method / Approach / Study / Process Model / Equation /Algorithm / .5g}rxO8
Rule / Formula / Technique oBw}hH,hp
l A discussion is presented of a problem-solving system 97x%w]kV
l To improve the efficiency of the method, the following approach c)3O/`
may be applied.
!0dX@V'r
l In order to an investigation was made to find the causes of the cV]y=q6
l Although large collections of rules and equations have been pbdF]>\
complied, none are generally accepted !`C%Fkq
l This approach will be explained and discussed thoroughly in the r{V.jZ%p'Z
body of the report. KW>VOW<.
l This can be accomplished by IHVMHOq}'
l This algorithm to compute the total cost can be described step by kJeu40o
N
step as follows: F '#^`G9
l The above preliminary analysis has provided important .Qk{5=l6P
information R2Yl)2
D
l Various methods have been proposed for selecting an optimum... sU*3\
l These concepts have been applied to gA:[3J,[;
l On the basis of the concept mentioned above, 8GW ut=D
l This can be achieved by *2#FRA#q
l This fact suggests that a new concept r\bq[9dX>
l This was accomplished by taking ... ?w8pLE~E
.h!9wGi`
l The preparatory stage is very time consuming process. ^#7viZ*
l Test are performed for validity, completeness, and compatibility V^ Y*xZ
l There is little hope of achieving successful ... `rq<jtf+
l There has been an increasing awareness of the potential of using uegb;m
most ..so far made have not taken this approach, with the exception L77EbP`P
of ^
`E@/<w8
l Only a few studies can be found. Kv1vx*>
l It is a very tedious process to go through Yd.02 7
l It is only when .. has been completed that .. may be effected UCn.t
l The entire interpretation process is conducted in one's head. Gzj3Ka
l These approaches are sometimes very tedious. jvWI_Fto
l Several techniques can be used |9
x%gUm
l A polynomial parametric model can be written as [the f{f_g8f[
following]/[follows]: tw]/,>\G
l A xx model is constructed/formulated using xx. TXx'7[
l A xx model represents an xx by its xx. &1oaZY w
l A process decision model captures the logic essential to %OuX`w
=
l From the equation above, xx is equal to the summation of xx GPMrs)J*!
times the ... *WD;C0?z
l The validity of a xx model can be checked using Euler's formula. DqRLx85d1
l Given a model, one can mathematically determine whether ... or ... 6/VNuQ_#
l Equations for xx need to be derived and implemented in the 5a8JVDLX^
system. BQE{
l A number of heuristic rules have been developed for !W0P`i<
l Optimum .. techniques can be made more reliable by ... so that m\/>C|f\
l An algorithm based on the characteristic ... is used to determine <r0.ppgY
l Euler's formula states the following: 9=H}yiJz
l The completed model should agree with the formula. $+
0=GN
l For manufacturing purposes, a detailed and precise model of the S!u6dz^[$X
object is necessary T4Xtuu1
l Engineering design models are very well defined; therefore, :EYu
4Y
l To keep the domain narrow enough to be implementable, yet wide q^)=F_QvG
enough to 9e0C3+)CY
be useful.
%3ou^mcj
z7|
s%&
Point of View \nrgAC-b
l from an implementation standpoint, 44Q6vb?
l From the point of view of this application, R|nEd/'<
l From this point of view, Zadeh suggested an inference rule named vYYS.ve
xxx (CRI for short).
F\o;t:
l Information is the meaningful interpretation and correlation of f37ji
some aggregation of data in order to allow one to make decisions. YCir Oge
l From a practical point of view, the computational aspects of an (Nm}3 p
FLC require a simplification of the fuzzy control algorithm. AD~~e%
s=
l The use of a hammer to insert screws, although partly effective, dCa}ITg
tends to distort, destroy, and generally defeat the purpose of using a i<B:
screw [Kusiak AI Implications for CIM p.129] *?EO n -
Justification Pz5ebhgq
l We choose the so called xx in our experiment because it has IlcNT_
5a8
received wide acceptance and can z\xiACIc
l Prolog was chosen because it offers a well known and flexible 3'?h;`v\Lo
environment in which fuzzy reasoning may be easily implemented. )j{WeG7L
l The rationale behind this is that it can be much easier for an ,k4z;
estimator to rate a cost as high than to attempt to place a dollar *i=?0M4S
value on the estimate. 7JxE|G
l This strategy has been widely used in fuzzy control applications B
rez&3[
since it is natural and easy to implement. f28gE7Y\a
l A function definition expresses the membership function of a ?)Tz'9l
fuzzy set in a functional form, typically a bell-shaped function, etc. A8_\2'b
Such functions are used in FLC because they lead themselves to zF[3%qZE:T
manipulation through the use of fuzzy arithmetic. Paae-EmC
l It should be noted that in our daily life most of the information on %Nwyx;>9^K
which our decisions are based is linguistic rather than numerical in n/KI"qa]9
nature. Seen in this perspective, fuzzy control rules provide a natural s[0prm5.
framework for the characterization of human behavior and decisions 30sC4}
analysis. y8<
lp+
l Many experts have found that fuzzy control rules provide a w,M1`RsK
wc<2Uc
convenient way to express their domain knowledge. This explains 9s;!iDFn
why most FLCs are based on the knowledge and experience which M3ecIVm8(
are expressed in the language of fuzzy "if-the" rule. . 1{vpX
Chapter 4. Examples ?#V
P)A
Example/ Data K B`1% =
l The data used in the following example was taken from an #U",,*2
experiment in which xx was measured between x and x using a xx +XU$GSw3(
technique. Q9Y9{T
l The data consists of over xx measurements. _|^&eT-u
l An example of xx is discussed and the control rules of xx are *pcbwd!/
compared with a xx wu&|~@_s@
l Examples of complex processes to which this technique may be g( @$uJ
applied are xx, xx, etc. !Zk%P
l The following example is constructed only for the purpose of Q70**qm
illustrating the computational procedure discussed. H
'WFORso[
l This example clearly demonstrates that the profile of an individual Ovl?j&8
xx, or a very small group of xx, with no enough data to be studied Ovaj":L
statistically, can be meaningfully analyzed by fuzzy possibilistic jza}-=&+e
methods. '?vgp
l There is no space here to go into detail on all these methods, but 0%A(dJA6
deserve a mention and the bibliography will point to detailed *oX
references for those wishing this level of detail. RAD4q"}k
l Note that the golf ball spotting example is used throughout the ])$."g
paper. bG?WB,1
Comparisons 7tf81*e
l As well, the pros and cons of these representations from a process
bgzT3KZ
planning point of view will be discussed. G+ $)W
u
l The method of using xx to implement xx described by Zadeh <QkN}+B=
(1973) appeared more suitable n&3iv^
l As discussed [in the previous section]/[preciously], XW&8T"q7
(8@hF#N1
Relation %_j?<
h&
l We can not invert F' directly because it defines a many-to-one 9(N)MT5F
mapping. $3]E8t
l The relationships appear very complicate _ \v@9Q\
l Lifting tasks involve complex and imprecise relationship between a'>$88tl
the task variables and the human operator's characteristics. +Qi52OG
l These methods are based on the relationship between ... and ... i k1L
l The fundamental concept of a fuzzy rating language is that we can rmg";(I
establish a relationship among terms such as high, medium, and low, %<ptkZK#
and then modify these relationships. LO$#DHPt
l This article will thus mention the latter as well as the former. _Okn P2E
l The former two bear a close relation to a fuzzy Cartesian product. c
&Su d, &
Importance Kz3h]/A.
l The emphasis is on an implementation of a general approach to s:jL/%+COZ
rule based decision making. [Tb3z:UUvf
Consideration / Attention Ti@P4:q
l Careful evaluation is necessary to ensure *F8uu.
l Such a formulation does not change further considerations. l=-dK_I?
l Considerable attention has been paid to HDW\S#
l Attention should be paid to an important finding of this K}5$;W#
investigation. s!o<Pd yJK
l Caution should be exercised in this process to avoid ... cV,03]x
l Primary consideration is given to ... components, though others *l?%
o{
can be accommodated )oxP.K8q)U
l After ... has been defined by ..., a carefully analysis is carried Uwm[q+sTp
out/performed to determine 4Tzu"y
l A number of factors such as ...need to be taken into consideration &A5[C{x
before making the appropriate decision. FO'.
a
l It should be noted that ]kplb0`
l It is important to point out that ... S5pP"&