英语论文写作常用经典句型 $/nU0W
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Beginning QRhR.:M\
1. In this paper, we focus on the need for >y"V%
2. This paper proceeds as follow. 0J z'9
3. The structure of the paper is as follows. 6<.Ma7)lA
4. In this paper, we shall first briefly introduce fuzzy sets and related `omZ'n)
concepts 9a"[-B:
5. To begin with we will provide a brief background on the ?SRG;G1
Introduction Wd?(B4{
1. This will be followed by a description of the fuzzy nature of the 1om :SHw
problem and a detailed presentation of how the required R8Nr3M9 )
membership functions are defined. BV"
7Wp;
2. Details on xx and xx are discussed in later sections. z{Z'2 ,
#
3. In the next section, after a statement of the basic problem, various u.x>::i&
situations involving possibility knowledge are investigated: first, an qd(C%Wk
entirely possibility model is proposed; then the cases of a fuzzy Zsc710_
service time with stochastic arrivals and non-fuzzy service rule is lX/s
Q
studied; lastly, fuzzy service rule are considered. d4t%/ Uh
Review n.n;'p9t@
1. This review is followed by an introduction. Z0s}65BR
2. A brief summary of some of the relevant concepts in xxx and xxx is <43O,Kx'Su
presented in Section 2. v\PqhI y"
3. In the next section, a brief review of the .... is given. 4*< x0
4. In the next section, a short review of ... is given with special regard C;];4[XR
to ... k#NIY4%.
5. Section 2 reviews relevant research related to xx. .w/w]
Eq
6. Section 1.1 briefly surveys the motivation for a methodology of 109dB$+$
action, while 1.2 looks at the difficulties posed by the complexity of o8;>E>;
systems and outlines the need for development of possibility GM=r{F
&
methods. F9p'|
-
Body s.`:9nj
1. Section 1 defines the notion of robustness, and argues for its T1 >xw4uo
k#X~+}N^
importance. Fv$5Zcf
2. Section 1 devoted to the basic aspects of the FLC decision-making |fqYMhA U
logic. lHQ:LI
3. Section 2 gives the background of the problem which includes xxx OV/H&fe
4. Section 2 discusses some problems with and approaches to, mrWPTCD{
natural language understanding. k8IhQ{@
5. Section 2 explains how flexibility which often ... can be expressed
~A^E_
in terms of fuzzy time-window @i2"+_}*
6. Section 3 discusses the aspects of fuzzy set theory that are used in kT)[<`p
the ... S"hA@j
7. Section 3 describes the system itself in a general way, including eA q/[(
the ….. and also discusses how to evaluate system performance. d1CQ;,Df<
8. Section 3 describes a new measure of xx. QL/I/EgqC
9. Section 3 demonstrates the use of fuzzy possibility theory in the kq|(t{@Rp
analysis of xx. 'kU5
10. Section 3 is a fine description of fuzzy formulation of human d8D0 28d
decision. t Sibzl~
11. Section 3 is developed to the modeling and processing of fuzzy NzS(,F
decision rules M;2@<,rM
12. The main idea of the FLC is described in Section 3 while Section 4 k Il!n
describes the xx strategies. F(h
jP
13. Section 3 and 4 show experimental studies for verifying the :Kq]b@X
proposed model. yuP1*QJ%
14. Section 4 discusses a previous fuzzy set-based approach to cost Cp"a,% b6u
variance investigation. hK]mnA[Y
15. Section 4 gives a specific example of xxx. ,X`w/ 2O
16. Section 4 is the experimental study to make a fuzzy model of |WP}y-Au
memory process. Lf0X(tC
17. Section 4 contains a discussion of the implication of the results of U80h0t%
Section 2 and 3. a
gkw)#
18. Section 4 applies this fuzzy measure to the analysis of xx and L2\<iJA}c
illustrate its use on experimental data. LX'z7fh
19. Section 5 presents the primary results of the paper: a fuzzy set jouA
]E
model .. njxfBA:
)kMF~S|H
20. Section 5 contains some conclusions plus some ideas for further B,S~Idr}
work. _DouVv>
21. Section 6 illustrates the model with an example. { )g
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22. Various ways of justification and the reasons for their choice are 0SjB&J
discussed very briefly in Section 2. %_@T'!]
23. In Section 2 are presented the block diagram expression of a jK-b#h.gL
whole model xm Ns%
of human DM system c/DK31K
24. In Section 2 we shall list a collection of basic assumptions which *^oL$_Y
a ... scheme must satisfy. i 558&:
25. In Section 2 of this paper, we present representation and q6PG=9d0B
uniqueness theorems for the fundamental measurement of fuzziness ?}e^-//*i
when the domain of discourse is order-dense. 6H1;Hl
f
26. In Section 3, we describe the preliminary results of an empirical uv=a}U;
study Xf#+^cQ
currently in progress to verify the measurement model and to uH&B=w
construct membership functions. W{%X1::q$
27. In Section 5 is analyzed the inference process through the two c)3.AgT
kinds of inference experiments... n:[@#xs-
This Section {/j gB"9
1. In this section, the characteristics and environment under which esiU._:u
MRP is designed are described. 9}wI@
2. We will provide in this section basic terminologies and notations Aydpr_lp
which are necessary for the understanding of subsequent results. %VGW]!QR
Next Section M1]}yTCd
2. The next section describes the mathematics that goes into the _NB*+HVo
computer implementation of such fuzzy logic statements. +T&YYO8>5
3. However, it is cumbersome for this purpose and in practical h'HI92; [
applications the formulae were rearranged and simplified as kY?tUpM!TB
discussed in the next section. HSWki';G
4. The three components will be described in the next two section, jEE!H/
and an example of xx analysis of a computer information system will IG{
lr
DZ @B9<Zz{
then illustrate their use. soLW'8
5. We can interpret the results of Experiments I and II as in the Xt:$H6
y
following sections. -wrVEH8
6. The next section summarizes the method in a from that is useful q 'd]
for arguments based on xx
MhR`
Summary < =~=IZ)
1. This paper concludes with a discussion of future research ^r-d.1
consideration in section 5. ,oUzaEX
2. Section 5 summarizes the results of this investigation. O\ _ro.
3. Section 5 gives the conclusions and future directions of research. :._Igjj$=
4. Section 7 provides a summary and a discussion of some extensions eAo+w*D(
of the paper. %.hJDX\j
5. Finally, conclusions and future work are summarized {Ef.wlZ
6. The basic questions posed above are then discussed and 2F>Y{3&
conclusions are drawn. 7)]boW~Q
7. Section 7 is the conclusion of the paper. tewp-MKA
Chapter 0. Abstract $cK}Tlq
1. A basic problem in the design of xx is presented by the choice of a 'iF%mnJ
xx rate for the measurement of experimental variables. S
't9F
2. This paper examines a new measure of xx in xx based on fuzzy rH!sImz,
mathematics which overcomes the difficulties found in other xx ~N i
measures. $1"gFg
3. This paper describes a system for the analysis of the xx. faDS!E' +
4. The method involves the construction of xx from fuzzy relations. >G8I X^*sG
5. The procedure is useful in analyzing how groups reach a decision. cz,QP'g
6. The technique used is to employ a newly developed and versatile =]]1x_GB
xx algorithm. Mib.,J~
7. The usefulness of xx is also considered. CDM6o!ur3
8. A brief methodology used in xx is discussed. @]%eL
9. The analysis is useful in xx and xx problem. <zR{'7L/
10. A model is developed for a xx analysis using fuzzy matrices. jQ;/=9
11. Algorithms to combine these estimates and produce a xx are e)wi}\:q_
ru@#s2
presented and justified. Sc]K-]1(H
12. The use of the method is discussed and an example is given. |dLr #+'az
13. Results of an experimental applications of this xx analysis !Z tqh Xr
procedure are given to illustrate the proposed technique. =4MTb_
14. This paper analyses problems in &Gh0f"?
15. This paper outlines the functions carried out by ... La )M
16. This paper includes an illustration of the ... z^U+oG
17. This paper provides an overview and information useful for e?.j8Q~
approaching `=H*4I-"
18. Emphasis is placed on the construction of a criterion function by .p!
DVQ"a
which the xx in achieving a hierarchical system of objectives are (O{OQk;CF
evaluated. ):'wxIVGI
19. The main emphasis is placed on the problem of xx `s)4F~aVo
20. Our proposed model is verified through experimental study. 6 X~ ><r
21. The experimental results reveal interesting examples of fuzzy |-x-CSN
phases of: xx, xx FL'}~il
22. The compatibility of a project in terms of cost, and xx are likewise ;&&<zWq3h
represented by linguistic variables. 3<&:av3
23. A didactic example is included to illustrate the computational Cw+boB_tip
procedure d}4NL:=&
Chapter 1. Introduction OF7hp5
Time vHf)gi}O|
1. Over the course of the past 30 years, .. has emerged form intuitive ~{I.qv)>M~
2. Technological revolutions have recently hit the industrial world ri{*\LV*@
3. The advent of ... systems for has had a significant impact on the k`m7j[A]l
4. The development of ... is explored
Y${'
5. During the past decade, the theory of fuzzy sets has developed in a 9m
M3Ve*
variety of directions $Aw@xC^!
6.The concept of xx was investigated quite intensively in recent years `f>!/Zm%9
7. There has been a turning point in ... methodology in accordance XL n9NBT4K
with the advent of ... PT2;%=f
8. A major concern in ... today is to continue to improve... fs
ufYIf
9. A xx is a latecomer in the part representation arena. \EfX3ghPI
1Z}5ykM3
10. At the time of this writing, there is still no standard way of xx L~6%Fi&n4
11. Although a lot of effort is being spent on improving these h9Far8}
weaknesses, the efficient and effective method has yet to be Cq2Wpu-u
developed. 6j(/uF4!#
12. The pioneer work can be traced to xx [1965]. w~*@TG
13. To date, none of the methods developed is perfect and all are far M1kA- Xr
from ready to be used in commercial systems. '|IcL1c=I
Objective / Goal / Purpose cj[b ^Wv:
1. The purpose of the inference engine can be outlined as follows: `*8}q!.
2. The ultimate goal of the xx system is to allow the non-experts to 3NpB1lgh&:
utilize the existing knowledge in the area of manual handling of loads, <K [y~9u
and to provide intelligent, computer-aided instruction for xxx. L0g+RohW
3. The paper concerns the development of a xx a#j,0FKv
4. The scope of this research lies in \(Sly&gL
5. The main theme of the paper is the application of rule-based {fXkbMO|
decision making. jaoZ}}V_$
6. These objectives are to be met with such thoroughness and /w?e(v<
confidence as to permit ... EwPrh
7. The objectives of the ... operations study are as follows: ;@ePu
8. The primary purpose/consideration/objective of
aN0[6+KP;
9. The ultimate goal of this concept is to provide =
7y-o
10. The main objective of such a ... system is to ;_cTrjMv\
11. The aim of this paper is to provide methods to construct such :TQp,CEa
probability distribution. ws0qwv#
12. In order to achieve these objectives, an xx must meet the G)7U
&B
following requirements: X"{%,]sb G
13. In order to take advantage of their similarity +dCDk* /m
14. more research is still required before final goal of ... can be <Q|\mUS6
completed k)b{UFRW
15. In this trial, the objective is to generate... Clum
m@z;#
16. for the sake of concentrating on ... research issues GeR#B;{
17. A major goal of this report is to extend the utilization of a recently ;73S;IPR
developed procedure for the xx. ahl|N`
`yfZ{<
18. For an illustrative purpose, four well-known OR problems are =0cTct6
\
studied in presence of fuzzy data: xx.
p'h'Cz
19. A major thrust of the paper is to discuss approaches and `jE[Xt"@
strategies for structuring ..methods e/D{^*~S
20. This illustration points out the need to specify SP%X@~d
21. The ultimate goal is both descriptive and prescriptive. -N' (2'
22. Chapter 2. Literature Review ^OV; P[
23. A wealth of information is to be found in the statistics literature, b
bC@
for example, regarding xx
[5P-K{Ko
24. A considerable amount of research has been done .. during the qR@
ESJ_
last decade )U\i7[k>
25. A great number of studies report on the treatment of \g34YY^L3
uncertainties associated with xx. t1Ts!Q2
26. There is considerable amount of literature on planning $>/d)o
27. However, these studies do not provide much attention to Q,NnB{R
uncertainty in xx. }_lG2#Ll5
28. Since then, the subject has been extensively explored and it is [Hx}#Kds
still under investigation as well in methodological aspects as in W et0qt]
concrete applications. Q6(~VvC-
29. Many research studies have been carried out on this topic. ?nc:bC
30. Problem of xx draws recently more and more attention of system n{QyqI
analysis. oCCtjr
31. Attempts to resolve this dilemma have resulted in the C@qWour
development of (U'n1s/X
32. Many complex processes unfortunately, do not yield to this +C`!4v\n
design procedure and have, therefore, not yet been automated. m'2F#{
33. Most of the methods developed so far are deterministic and /or v6)QLp
probabilistic in nature. XoyxS:=>|[
34. The central issue in all these studies is to IgbuMEfL
35. The problem of xx has been studied by other investigators, @*hv|zjs
however, these studies have been based upon classical statistical WoXAOj%iW
approaches. @JSWqi>
36. Applied ... techniques to |co#X8J
37. Characterized the ... system as #.Dl1L/
]:f.="
38. Developed an algorithm to qBk[Afjgz
39. Developed a system called ... which 0@_8JB ?E
40. Uses an iterative algorithm to deduce 0/~p1SSun
41. Emphasized the need to lZwjrU| _
42. Identifies six key issues surrounding high technology \B')2phE
43. A comprehensive study of the... has been undertaken Yh]a4l0
44. Much work has been reported recently in these filed *c#DB{N
45. Proposed/Presented/State that/Described/Illustrated/ n*GB`I*g
Indicated/Has shown / showed/Address/Highlights moM'RO,M
46. Point out that the problem of l4kqz.Z-g
47. A study on ...was done / developed by [] 7NEOaX(J9
48. Previous work, such as [] and [], deal only with ydD:6bBX
49. The approach taken by [] is f.ua,,P.
50. The system developed by [] consists N_D=j6B
51. A paper relevant to this research was published by [] d)48m}[:
52. []'s model requires consideration of... eZ)
|m
53. []' model draws attention to evolution in human development Rq15AR
54. []'s model focuses on... uEPm[o
yX
55. Little research has been conducted in applying ... to ~RLjL"
56. The published information that is relevant to this research... ^/2O_C
57. This study further shows that v2|zIZ
58. Their work is based on the principle of KXTk.\c
59. More history of ... can be found in xx et al. [1979]. r(]Gd`]
60. Studies have been completed to established d>
M 0:
61. The ...studies indicated that P,S!Z&!
62. Though application of xx in the filed of xx has proliferated in 937<:zo:
recent years, effort in analyzing xx, especially xx, is lacking. @ &c@
Problem / Issue / Question ]mBlXE:Z
63. Unfortunately, real-world engineering problems such as o)\EfPT
manufacturing planning do not fit well with this narrowly defined {w>ofyqfp&
model. They tend to span broad activities and require consideration M9V
,;*
of multiple aspects. *[nS*D\:
64. Remedy / solve / alleviate these problems L-W*h
67. ... is a difficult problem, yet to be adequately resolved w#(E+s~}
.Xta;Py|J
68. Two major problems have yet to be addressed ^-#:T
69. An unanswered question 1iY?t
70. This problem in essence involves using x to obtain a solution. +DT
tKj
71. An additional research issue to be tackled is .... eF8um$t9
72. Some important issues in developing a ... system are discussed qB3&F pgW
73. The three prime issues can be summarized: tV.96P;)/9
74. The situation leads to the problem of how to determine the ...
Se/]J<]
75. There have been many attempts to p'SY 2xq-,
76. It is expected to be serious barrier to 9OF(UFgS
77. It offers a simple solution in a limited domain for a complex #|xj*+)H
problem. d cht8nX7~
1. There are several ways to get around this problem. =WOYZ7
2. As difficult as it seems to be, xx is by no means new. ~o;*{ Q
3. The problem is to recognize xx from a design representation. d~d~Cd` V
4. A xx problem can trace its roots to xx. Jxb+NPUB
5. xx [1987] used a heuristic approach to simplify the complexity of QEL3b4Vm
the problem. nG5:
H.)
6. Several problems are associated with them. X15e~;&
7. Although some progress has been made in this area, at least two zQ eXN7$
major obstacles must be overcome before a fully automated system gJn_8\,C>Q
can be realized. x: Tm4V{
8. Most problems in practice are complicated == i?lbj
9. More problem surface here. _EZrZB
10. Hamper effort toward a xx system a
_(vpD^
11. In order to overcome the limitations due to incomplete and Q,f5r%A.
imprecise xx knowledge, a xx program has been developed, which HQ8;d9cGir
bases its knowledge upon the statistical analysis of a sample
#`2*V
population of xx n|iO)L\9aB
12. The above difficulties are real challenges faced by researchers g*#.yC1/
attempting to develop {@[z-)N7\,
13. This type of mapping raises no controversy to the issue of U
,u\o@3A
membership function determination. E>SLR8!Cv
14. However, attempts to quantify the xx have met both theoretical *9Nq^
+
and empirical problems. 3+jqf@ fO
X8b
= z9
15. It has become apparent that in order to apply this new gg%OOvaj5
methodological framework to real-world problems and data, we have @(A[H^E
to pay attention to the problems of xx and xx. "o[j'
Chapter 3. Proposed methodology c`&<"Us
Assumption H6XlSj
1. In the case when the assumption of a xx seems to be too +O@0gl
restrictive or inadequate, the formulation with Fuzzy termination Z tfPB
time, i.e. given by a fuzzy set in the space of control stages, may be T/&4lJ^2l^
applied. 9IC|2w66
2. We assume here the fuzzy constraints to be state-dependent, and G? "6[w/p
the fuzzy goal to be the same for all the control states, xx, which J_A5,K*r|
stems from the problem's nature. .5zqpm
3. An approach to the solution of this problem is presented under the bgjo_!J+Pp
assumption that the sampling rate Decision can be made prior to the &pD6Qq
{
execution of the experiment, as opposed to being made while the ]I#yS=;
experiment is in progress. f6ad@2
4. Another assumption made above is that there are precise odds at g3(fhfR'RN
which the expert is indifferent. ^MGgFS]G
5. Main simplifying assumptions are: !$x9 s'D
6. This, in our view, is a questionable assumption. (JHL0Z/
Outline / Structure / Module Bp`?inKBOd
1. An outline of the research h$FpH\-
2. Information is incorporated within the scheme VSCOuNSc
3. Is built into ... structure lmZSsx
4. A nice modular structure. uFIr.U$V
5. The principles of ... are applied as modularized criteria DDT)l+: XP
Classification !52]'yub
1. A xx system comprises three main components: 0S0 ?\r
2. Must decompose the original .. into a set of .. u|.L73<j%
3. Consists of the following steps: (8u.Xbdh
4. This is summarized in the following steps: c@%:aiEl
e`fN+
5. Can be broadly classified into the following areas: N246RV1W
6. Can be characterized by its function of effectively processing the cWSiJr):r
7. Can allow further breadth of application of ...into more A=/|f$s+
8. The following steps should be followed %:2<'s2Si
9. xx can be classified by a different ways. PK@hf[YHe
10. Based on the xx, one may classify xx into the following: ]?p&sI4
11. This catalog may change due to wear, breakage, and purchasing.
g-MaP
System gN|[n.W4
1. Unlike many conventional program, expert systems do not L\--h`~YU
usually deal with problem for which there is clearly a right or wrong TOp|Qt
n
answer. u;m[,
2. The system consists of both ... and ... \J r ta
3. The system has a hierarchical modular architecture organized on sHx>UvN6
three levels. M/XxiF
4. expert system domains are area of expertise >L F
y:a
5. To develop a xx system for xx, the following factors must be &o>ctf.x
considered: 8jW"8~Y#0
6. The system has been developed / designed to determine #IjG[a-
7. The system has proven to be able to |[/[*hDZ9
8. The domain in which an expert system operates is a particular u6{=Z :
domain X(nbfh?n
9. The system comprises a ... with F3$@6J8<[z
10. The system is [feature-oriented ] / based on the ... technique u/3[6
MIp
11. The system environment must be relatively stable Zi5d"V[}T
12. The system is utilized to generate, load, store, update and jdsN ZV
retrieve ... e"9u}-Q@
13. The development of a xx system has two stages: xx stage and xx dGf:0xE"
stage. iq_y80g`8h
14. The most essential part of .. system is the ... >h+[#3vD
15. The successful developments in ESs have made them an Ffxf!zS
important tool in the development of I^>m-M.
16. An automated system was developed for ^sz4-+>
17. In this case, the system can be considered to be generative. `NqX{26GV+
W<<{}'Db/#
18. An interactive automatic ... system YY~BNQn6d
19. A …. is commonly thought of as a truly integrated .. system #-b0U[,.
20. Should be capable of being generated from a ... system AnK-\4
21. xx is an important part of the integrated system. "J|_1! 9
22. The model consists of four rule bases, each of which addresses a d1YE$
separate problem in the hierarchy of scheduling decision. NV 6kj=r
23. The rule bases are linked to each other in a chin-like manner in ~^#F5w"
the sense that the consequent of one rule base constitutes a part of u~MD?!LV
the antecedent of the next rule base. ;Ml??B]C
24. The rule base consists of all possible combinations of the QJ{to%
linguistic terms associated with the linguistic variable of the WVaIC $Y
antecedent of a rule. .I%p0ds1r
Computer System )Ih'0>=
1. The system has been implemented using Prolog language in an N<bNJD}
MS-DOS environment. Prolog was chosen because it offers a well ,0ZkE}<=w
known and flexible environment in which fuzzy reasoning may be ~9#nC`%2j
easily implemented. 0@;kD]Z
2. The current version of the xx program when compiled with JN;92|x
WATFOR77 results in an executable code of about 270K bytes. ~I^}'^Dbb
Typical run time, when run on a XX computer (an IBM compatible CS[[TzC=5
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min X
?p_O2#k
to 2h, depending on the size (or complexity) of the problem. 5X^bvW26
3. Time consuming procedures have been implemented in yl63VX8w}
C-language and directly linked to the Prolog environment. Efo,5
4. The xx process, once the xx's data has been entered, requires FQNw89g
approximately 180 seconds. C4V#qhj
5. It should be noted that the computation was done with a 20 Hhz, CV<@Rg
oa
80386..209;based microcomputer equipped with a 80387 math I{Pny/d`
co-processor. A/
kRw'6
6. The computer programs used for the analyses, one based on the xx [kc%+j<g
method and the other based on the new method, were written in }Ip"j]h
FORTRAN with a compiler that supports the math co-processor. ,,+ ~./)
7. Lisp, Prolog give maximum flexibility but also maximizes qK
,mG{
.;gK*`G2W)
development time. Iq&S6l <0
l Internal representation is the way a model is represented in the C9oF*{
computer. p_hljgOV
l An interactive menu-driven procedure is used in this study F +e
J9
l Shell can be develop very fast at the cost of time fairly severe )3i}(h0
limitations. 3HsjF5?W
l While there is no measurable saving of time for the case involving +cAN4
five criteria, the saving is dramatic for the case involving 10 criteria B7Um G)C
-- the computation time reduces from 10 hr 40 min to about 1 min. 13s0uyYU<m
l This combination is being implemented in an objected-oriented ^'8T9N@U
programming environment (Smalltalk-80 system) to solve problems zdA:K25"
encountered in construction xxx. yVPkJ
Method / Approach / Study / Process Model / Equation /Algorithm / [0GM!3YJ7
Rule / Formula / Technique
[kqxC
l A discussion is presented of a problem-solving system CL(,Q8yG
l To improve the efficiency of the method, the following approach 5G8
`zy
may be applied. X-di^%<
l In order to an investigation was made to find the causes of the g0.D36
l Although large collections of rules and equations have been ]rM{\En
complied, none are generally accepted ?U0iHg{
l This approach will be explained and discussed thoroughly in the 6l#1E#]|
body of the report. l79jd%/m
l This can be accomplished by EmNB}\IYU
l This algorithm to compute the total cost can be described step by R<mLG $
step as follows: >Uvtsj#
l The above preliminary analysis has provided important %+$P<Rw7
information XKp %7;
l Various methods have been proposed for selecting an optimum... ovCk:Vz
l These concepts have been applied to CGg:e:4
l On the basis of the concept mentioned above, UQ>GAzh
l This can be achieved by .Gl&K|/{j
l This fact suggests that a new concept 0c1}?$f[?%
l This was accomplished by taking ... G;Y,C<)0k
[p@NzS/
l The preparatory stage is very time consuming process. f7X#cs)a
l Test are performed for validity, completeness, and compatibility 6f=/vRAh$
l There is little hope of achieving successful ... 17{]QuqNF
l There has been an increasing awareness of the potential of using XrC{ {K
most ..so far made have not taken this approach, with the exception <E@7CG.=
of /+RNPQO O
l Only a few studies can be found. wRPBJ-C)
l It is a very tedious process to go through >^:g[6Sj
l It is only when .. has been completed that .. may be effected
Bx&`$lW
l The entire interpretation process is conducted in one's head. fY=iQ?{/[
l These approaches are sometimes very tedious. TFxb\
l Several techniques can be used bS/` G0!
l A polynomial parametric model can be written as [the }(E6:h;}~
following]/[follows]: 5F2+o#*h
l A xx model is constructed/formulated using xx. CX':nai
l A xx model represents an xx by its xx. ,_rarU)[J
l A process decision model captures the logic essential to Q77qrx3
l From the equation above, xx is equal to the summation of xx &;)~bS(
times the ... Ynz^M{9)K
l The validity of a xx model can be checked using Euler's formula. (dMFYL>YP
l Given a model, one can mathematically determine whether ... or ... phXVuQ
l Equations for xx need to be derived and implemented in the +8^9:w0}
system. ]Vb#(2<2
l A number of heuristic rules have been developed for -&)^|Atm
l Optimum .. techniques can be made more reliable by ... so that e!4akKw4wD
l An algorithm based on the characteristic ... is used to determine WP]<\_r2
l Euler's formula states the following: c+a f=ac
l The completed model should agree with the formula. CPVKz
l For manufacturing purposes, a detailed and precise model of the @0
-B&w
object is necessary CCEx>*E6c
l Engineering design models are very well defined; therefore, ,o9)ohw
l To keep the domain narrow enough to be implementable, yet wide J.<eX=<
enough to 3~cOQ%#]4
be useful. Y~vTFOI
_23sIUN c3
Point of View MxdfuFss
l from an implementation standpoint, |nicvg@
l From the point of view of this application, COHJJONR
l From this point of view, Zadeh suggested an inference rule named pRU6jV 6e)
xxx (CRI for short). !r
LHPg
l Information is the meaningful interpretation and correlation of O"#`i{^?2
some aggregation of data in order to allow one to make decisions. u^]yz&9V
l From a practical point of view, the computational aspects of an /vPb
FLC require a simplification of the fuzzy control algorithm. %ly;2HIk
l The use of a hammer to insert screws, although partly effective, z=K5~nU
tends to distort, destroy, and generally defeat the purpose of using a D{loX6
screw [Kusiak AI Implications for CIM p.129] D46|)-
Justification H]-W$V
l We choose the so called xx in our experiment because it has L3GJq{t
received wide acceptance and can (Dl"s`UH~
l Prolog was chosen because it offers a well known and flexible w-#0k.T
environment in which fuzzy reasoning may be easily implemented. 7S1!|*/
I
l The rationale behind this is that it can be much easier for an e{}o:r
estimator to rate a cost as high than to attempt to place a dollar -$0S#/)Z
value on the estimate. &.z/dFmG
l This strategy has been widely used in fuzzy control applications >WDpBn
:
since it is natural and easy to implement. IRU2/Y cg
l A function definition expresses the membership function of a s{,e^T
fuzzy set in a functional form, typically a bell-shaped function, etc. qnS7z%H8
Such functions are used in FLC because they lead themselves to x$Oz0 [
manipulation through the use of fuzzy arithmetic. @i68%6H`?
l It should be noted that in our daily life most of the information on YHA[PF
which our decisions are based is linguistic rather than numerical in @TprSd
nature. Seen in this perspective, fuzzy control rules provide a natural 5`uS<[vA
framework for the characterization of human behavior and decisions >'jM8=o*Ax
analysis. i\Vpp8<B
l Many experts have found that fuzzy control rules provide a kb:C>Y8!sC
|pgkl`
convenient way to express their domain knowledge. This explains mTPj@F>
why most FLCs are based on the knowledge and experience which KwHOV$lD;
are expressed in the language of fuzzy "if-the" rule. O9_YVE/-]
Chapter 4. Examples 5ZcnZlOOQ
Example/ Data ]]Z,Qu#<-
l The data used in the following example was taken from an ul?BKV+3E
experiment in which xx was measured between x and x using a xx _tk5?9Ykn
technique. @ 7?_Yw
l The data consists of over xx measurements. #'8PFw\zw
l An example of xx is discussed and the control rules of xx are 9CNHjs+-}s
compared with a xx IebS~N
E
l Examples of complex processes to which this technique may be injmP9ed
applied are xx, xx, etc. zK 2wLX
l The following example is constructed only for the purpose of ?lK!OyCkc
illustrating the computational procedure discussed. wuzz%9;@B
l This example clearly demonstrates that the profile of an individual nnG2z
@$-
xx, or a very small group of xx, with no enough data to be studied 'oz=
{;
statistically, can be meaningfully analyzed by fuzzy possibilistic #CPP dU$
methods. vb- .^l
l There is no space here to go into detail on all these methods, but gDub+^ye>/
deserve a mention and the bibliography will point to detailed L:M9|/
references for those wishing this level of detail. hU
7fZl%yl
l Note that the golf ball spotting example is used throughout the SR&
mHI-f0
paper. DANSexW
Comparisons (U_Q7hja?
l As well, the pros and cons of these representations from a process #mhD; .Wg
planning point of view will be discussed. QYgN39gp
l The method of using xx to implement xx described by Zadeh 4Aew
)
(1973) appeared more suitable ,)$KS*f"*z
l As discussed [in the previous section]/[preciously], HF: T]n,
Wi?%)hur
Relation cN7z(I0[
l We can not invert F' directly because it defines a many-to-one B)]{]z0+`
mapping. 51
0XDl~b
l The relationships appear very complicate <aaDW
l Lifting tasks involve complex and imprecise relationship between aNC,ccm
the task variables and the human operator's characteristics. V;-.38py
l These methods are based on the relationship between ... and ... '$XHRS/q]
l The fundamental concept of a fuzzy rating language is that we can b8Rh|"J)d
establish a relationship among terms such as high, medium, and low, \TB%N1^
and then modify these relationships. +M##mRD
l This article will thus mention the latter as well as the former. ZQ9oZHU m
l The former two bear a close relation to a fuzzy Cartesian product. O^Vy"8Ji}y
Importance W)!{U(X
l The emphasis is on an implementation of a general approach to P5}[*k%DQw
rule based decision making.
O*03PF^
Consideration / Attention pLQSG}N
l Careful evaluation is necessary to ensure 0r-lb[n8i
l Such a formulation does not change further considerations. GHJ=-9{YL
l Considerable attention has been paid to '?G[T28
l Attention should be paid to an important finding of this 3{4/7DcX
investigation. gZ"{{#:}
l Caution should be exercised in this process to avoid ... to!W={S<ol
l Primary consideration is given to ... components, though others Pkx(M E
can be accommodated 6eUiI@J
l After ... has been defined by ..., a carefully analysis is carried Sd\IGy{a
out/performed to determine jqGo-C~
l A number of factors such as ...need to be taken into consideration Dd#
SUQ
before making the appropriate decision. " 26B4*
l It should be noted that wEfz2Eq
l It is important to point out that ... Iwt2}E(e
l These considerations have heightened interest in the possibility of "dK|]w8
providing ... k~jKJb-_
'!fFI 1s
l We should stress the fundamental importance of the xx loC5o|Wh
Chapter 5. Results. 4ljvoJ}xjr
Advantages / Disadvantage YoF\MT]W
l One of the major advantages of this new measure of xx is that it lNaez3
can be applied to the experimental study of V"7<[u]K|
l One advantage of using a .. is the ease of preparing it. 8XYD
L]I'
l The xx system is versatile \L9?69B~
l It has a very fast decision making process wI@zPVY_i
l All the algorithms involve mostly logical operations. uq|vNLW26
l It can be easily and without additional cost implemented in a KO-Zz&2f
microprocessor-based environment. Q+N7:o!;<b
l It can reduce the waste of designing from scratch. TRk
?8
l The advantages of using a xx to represent xx are the following: -Ap2NpZ"t
l However, xx is not without its shortcomings. h{W$ fZc<
l In most cases, the xxx shows an improvement over the existing dT hn?
xxx. + 9\:$wMN
l Compared to the existing xx, the impacts of the xx are generally +Mk*{A t
reduced by 5% to 9%. ;/?Z<[B
l The "best case" results shows a savings of 6% to 9%. ]^*_F
l Most of the existing works based on xx approach can only -YzQ2#K
recognize a xx . LsJs Q
h
l Most of the above methods are computational expansive and `P ^u:
limited to xx. Vq3]7l
l Some other advantages of xx are the following: _[}G(<
l The problem is the limitation of this method to a limited domain of Tn4W\?R
parts. 9?u9wuH
l It proved limited in application because it demanded precision in }g>dn
system modeling that was impossible in practice. }b_R5U$@@
l There are advantages to be gained in the structuring of costs and Bmx(qE
benefits, the use of xx, Y|%anTP
l The disadvantages of this method are also disadvantages of !dfS|BA]
conventional xx approaches. qhV,
u;\.
g(-;_j!=
l This combines the best features of both techniques %^a]J"Ydi8
l Hopefully, this tool can be as the reference framework of for +"k.E
x0:
developing a xx platform, and helping the administration, marketing, $Cz1C
and knowledge management activities in virtual communities. Y
brx
%
Results A#v|@sul
l An improvement on the result shown above can be made by based - *:p.(c
on the data provided Q=d.y&4%
l Discussion of these theories is beyond the scope of this review zb"rMzCH
l Based on the information contained in this ~A^E
l The result can be categorized into nine classes I*^
5'N'
l The results are illustrated by an example ;M}itM
l The experimental results for each xx time are reported in Table 2. $T"h";M)s
l From the results obtained so far, it seem that `+roQX.p
l Because of the inaccuracy of the ..., a conclusion cannot be drawn yOX&cZ[
as {I4%
l Although much effort has been made to., this reality is far from 8{R&EijC
completion. *,"jF!C&[
l The results indicate that the total benefits are higher than the ki\B!<uv
total costs. 25aNC;J
l Their results may then serve as guidelines for lower level models, :~vxZ*a
less fuzzy and more detailed. j3
6,w[Y:
Chapter 6. Conclusion J5O.*&
l From the discussion, one may conclude that ... Dt
W*n1Bt
l Form the above discussion, the conclusion can be reached that K'x4l,rq
l The conclusions drawn are also valid z(+&wa
l In conclusion to this, it becomes obvious that the problem of xx B9YsA?hg
lies not only in... 34z_+
l We have attempted to introduce some concepts associated with a 0Y7$d`
theory of +fM&su=wl
xx based on fuzzy sets. $K})Q3FNi
l Considerable more work, hopefully, will be done in this area Q8;#_HE
l A fuzzy set procedure is proposed to solve xx selection problems t\zbEN
>W
r$Y{
interwoven with imprecise data ~F;CE"3A
l Employing the compositional rule of inference, the assessment of
}g>kpa0c
the xx compatibility in achieving prescribed xx projectiles in any YJd8l>mz
level of the hierarchy is made possible. ^00{Hd6
l This paper has presented a theoretical and experimental study of :/6()_>bO
the xx process and xx concept. RAV^D.
l The experimental research results will hopefully serve as useful cJ
.
7Mt
feedback information for improvements for xx work. f3G1r5
x
l The scope of this contribution was to introduce a xx method. s O=4IBE
l In general, fuzzy sets theory provides an alternative foundation sm
for xx analysis in a fuzzy environment. }z
wX
Future Research 09d9S`cS\
l Thus, first extension of the approach could be, B!}BM}r
l Present some cues for a further approach from Fuzzy Sets Theory oSY7IIf%L
application to +"8}R~`!
l Some improvements to the scheduling aspect of the model may paWxanSt
be brought through additional levels in the hierarchy for more
Yl~$V(
detailed representation of the scheduling activity. M\9F:.t=
Tables and Figures hsz^rZ
l Figure 7-1 sketches these relationships. s]Gd-j
l The graphical representation of these functions is shown in Figure #Ao !>qCE
1. {E51Kv&_
l The xx may be depicted as in Figure 1. =u=Kw R
l Figure x shows the schematic diagram of the 59<hV?
l Figure 1 though 2 provide a ... that vd
(?$
l the architecture of this expert system for .... is illustrated in Figure ^ H3m\!h
2. Xwq]f:@V
l Figure 2 gives the outline of an ... system @?Zf
-.
l Table shows the ]
8Tzr
l as shown in Table 1 and 2 8z}^jTM
l This concept is illustrated in Figure 2 O~PChUU*Y
l At the top of Table xx are shown two blocks of data. TQc@lR!
_TUm$#@Y`
l Each table or matrix has constructs xx through xx as yMxTfR
row-headings, $UvPo0{
xx through xx as column-headings. UpfZi9v?W
l A table of .. is developed and significant recommendations are fu4!t31
made. #jA) >z\Q^
CONJUGATION }mk>!B}=
To Indicate Addition q3h'
l,
l additionally, again, also, and then, as can be easily understood, U>F{?PReA?
besides, equally important, especially, finally, for the same reason, H}ZQ?uK;
first, further, furthermore, in addition, last, likewise, moreover, next, u9Y3?j,oC
second, third, too, evidently, obviously, roughly speaking, broadly %8r/oS
speaking pe.QiMW{8
To Indicate Cause and Effect 80;n|nNB
l accordingly, as a result, consequently, for this reason, hence, in 0*F}o)n/m
short, otherwise, then, therefore, thus, truly $,27pkwHeW
To indicate Comparison %j+xgX/&
l in a like manner, likewise, similarly , alternatively Eu,`7iQ?(
To Indicate Concession rHz||jjU
l after all, although this may be true, at the same time, even though,
t ls60h
even so , I admit, naturally, of course )rm4cW_
To Indicate Contrast c#cx>wq9
l and yet, at the same time, but, for all that, however, yet, in fact, in #07!-)Gv
contrast, in the real life, in spite of, nevertheless, notwithstanding, ~Z)/RT/
normally, on the contrary, on the other hand, still, traditionally, Um.q
RZ?
rather, unfortunately, j
!H^-d}q
To Indicate Time Relationships: 'LS z f/w
after a short time, afterwards, as indicated earlier, as long as, as soon YY5!_k
I)SG wt-
as, at last, at length, at the moment, at that time, at the same time, Mps5Vv
before, earlier, currently, immediately, in the meantime, in recent mUoIJ3fv_,
years, lately, later, meanwhile, often, of late, presently, recently, "Cz<d w]D
soon, shortly, since, thereupon, temporarily, therefore, until, when, kg97S
while ~d
>W?A
To Indicate Special Features or Examples: cr;`Tl~}s
for example, for instance, incidentally, indeed, in fact, in other words, aSutM
in particular, in practice, specifically, that is, to illustrate, in this &[[K"aM1
respect, theoretically, as mentioned before / above [g|Y7.j8
To Indicate Summary: , X{>
in brief, in conclusion, in short, in summary, on the whole, to X[yNFW}S2W
conclude F7*wQ{~
, in general, to summarize, to sum up, as a result, ultimately, \wvg,j=
VERB PHASE U9hS<}<Ki
l build a .. model p
*w$:L
l build up the key link 4,p;Km&
l began a new era in ... 2}U!:bn(
l can be regarded as / achieved / used to/for / found / obtained muON>^MbC
through 07v!Zj
l can result in s#9Ui#[=h
l carries out ... tasks *iA4:EIP
l production information in order to simultaneously 8+Llx
l contains all information necessary to describe AnBJ(h
l do not make use of production information Z~
l deals with ZJW[?V\5=
l end with failure
08bJCH
l fetch the information from the model directly R\3VB NX.g
l has great potential / yet to be resolved / spurred the "_UdBG
development of / nuQ]8- ,
been recognized as Cizvw'XDV
l BE aimed at / built up / carried out by / essentially concerned t&q N:
J
J5Z%ImiT^O
with / considered to be the key technology / associated with each yM.IxpT#$
feature of a compo y
m,H@~
site component / cable of / currently implemented for / X!hIwi A,t
demonstrated by an example / finally reached / made equal to / 38ES($
equivalent to / more suitable to / oriented to / interpreted as / B_`y|sn
pointed out / potentially of great benefit in the complex task of /
uE/T2BX*
shown in / used to effectively guide the search N;oQ^B'
l makes use of #hfuH=&oh
l make up _Q%vK*n
l meets the needs of real life production,/ the current demands h5_G4J{1
placed upon it ^)!F9h+
l must be justified @:0ddb71
l point out
OI1ud/>h
l play an important role Qhi '')Q
l relates to ]M>9ULQ
l rely on B$3 ?K
l satisfy the needs r~-.nb"P
l determine the total requirements for the ... XKA&XpF
l uses ... as a key to search for... G0 J4O!3
l without relying on 3ya1'qUC
l will be available/ performed/ overlooked hRI"y":zD
NOUN PHASE _-!sBK+F
l a basic technical function of +x?#DH-
l a critical need *%w69#D
l a key / principle feature of w~_;yQ
l a substantial impact on .x`M<L#M(
l an intensive review was conducted %<?0apO
l an increasing need for expanding the application of .... fJ\sguZ
l an important component / function / aspect / issue Xtz-\v#0o'
l each rule is numbered in sequence s]T""-He
l each of these involves Mypc3
l for this calculation, it is necessary to define =1I#f
l in the physical environment / integration of +X`V|E,no
W"{v2x i
l in the reality of situations where … ;!91^Tl
l many aspects of e__@GBG
l most past efforts have been spent on ... Q%/<ZC.Mz6
l common sense to a well studied and documented technical field. mS#zraJn5
l sources of additional information on ... are listed E^GHVt/.
l systematic and rationally structured format _A<u#.yd
l the basis on which a range of ...operations can be established is +,o0-L1D
shown YY?a>j."a
l THE basic philosophy / principles of / key element / general *5zrZ]
^
hypothesis / candidate list of / concept of ... has attracted wide jENr>$$
interest / function is concerned with / heart / impact / nature / role |/gW_;(
/ task of / kernel functions )
\Y7&
l the number of parts needed to hjO*~
l the above statement means that "#v=IJy&r
l the output data is passed to wU#F_De)R:
l the proposed method / underlying principle bX.ja;;
l the recommendations made in this report, if implemented, should [Q\GxX.
l this information resides in mzQ`N}]T:
l this process is composed of ... different ... operation >0{S
l along with the use of 'Dvv?>=&
l concerning general aspects of ZKg{0DY
l due to AamV
ms
l for later use in generating..., ^Qu
i
H'
l in turn, 7?B.0>$3>V
l IT IS believed / noted / assumed / suggested / shown / quite >5R<;#8
evident / appears / implies that / intended for / of no important to L< zD<M
l it can be claimed/concluded that
5Z4-Z
l it demonstrates the decisions required of )
BfT7{WN
l it also provides information to .. Bl9jkq
]
l it becomes essential to `mye}L2I
l let ... be the probability that R3k1RE2c&g
l once... is written, it is compiled into... B?$ "\;&
l suppose it is observed that JQ:Ri
l this is because IVr 2y8K
bCZ gcN
l this results in a IrMl:+t\
l upon completion of the ... analysis, 3~e8bcb
l when the knowledge is of mathematics or quantum physics, it will w&4~Q4
also be 1<ro7A4hK
recorded in books and papers GE|+fYVM-$
l selection of rules for using the tools, for generating operation Y!6/[<r$~k
plans, fQLt=Lrp
is another matter of preference, since practice varies greatly. kY]W
Qu
l for the sake of convenience j@Qg0F
l correct decision to be reach iJnU%
l keeping the number of rules to a minimum. MxzLK%am
l a good process plan will result exhibiting several characteristics: Av0y?oGH
l practical solutions E,n}HiAz7V
l because of rather small job lot sizes KRJLxNr
l Backward reasoning can be used to answer the question "should GRy-+#,b"
milling tool be select" different level of knowledge in the realm of kP xa7
process planning