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Beginning }#tbK 2[
1. In this paper, we focus on the need for #-b}QhxH
2. This paper proceeds as follow. 5(2 C
3. The structure of the paper is as follows. "%Ief4
4. In this paper, we shall first briefly introduce fuzzy sets and related uo?R;fX26
concepts @r<2]RXlc
5. To begin with we will provide a brief background on the e{5
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Introduction )Ko~6.:5H
1. This will be followed by a description of the fuzzy nature of the )"
Z|x
problem and a detailed presentation of how the required TPx`qyW
membership functions are defined. E3{kH
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2. Details on xx and xx are discussed in later sections. w_"-rGV
3. In the next section, after a statement of the basic problem, various mz x$(u
situations involving possibility knowledge are investigated: first, an p< pGqW
entirely possibility model is proposed; then the cases of a fuzzy N,8.W"fV
service time with stochastic arrivals and non-fuzzy service rule is 3QXsr<
studied; lastly, fuzzy service rule are considered. jZ"j_=o@
Review
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1. This review is followed by an introduction. 00SS<iX
2. A brief summary of some of the relevant concepts in xxx and xxx is 6*EIhIQ(
presented in Section 2. <3ep5` 1
3. In the next section, a brief review of the .... is given. Jw;G_dQ[
4. In the next section, a short review of ... is given with special regard ,*9gy$
to ... DTsD<o
5. Section 2 reviews relevant research related to xx. sUQ
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6. Section 1.1 briefly surveys the motivation for a methodology of ?
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action, while 1.2 looks at the difficulties posed by the complexity of RH7!3ye
systems and outlines the need for development of possibility u^i3 @JuX
methods. OaT]
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Body -glGOTk
1. Section 1 defines the notion of robustness, and argues for its ttB>PTg#
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importance. y\CxdTs
2. Section 1 devoted to the basic aspects of the FLC decision-making '~7zeZ'
logic. B>S>t5$
3. Section 2 gives the background of the problem which includes xxx 8N |K
4. Section 2 discusses some problems with and approaches to, FI$
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natural language understanding. b5.]}>]t
5. Section 2 explains how flexibility which often ... can be expressed sV0NDM0
in terms of fuzzy time-window e_l|32#/
6. Section 3 discusses the aspects of fuzzy set theory that are used in TI2K_'
the ... @KHY8y7
7. Section 3 describes the system itself in a general way, including [wJ\.9<Oa
the ….. and also discusses how to evaluate system performance. =w:)AWZ
8. Section 3 describes a new measure of xx. Jr
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9. Section 3 demonstrates the use of fuzzy possibility theory in the @w(|d<5l:L
analysis of xx. <dVJV?i;
10. Section 3 is a fine description of fuzzy formulation of human M
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decision. M} ri>o
11. Section 3 is developed to the modeling and processing of fuzzy A>mk0P)~Q
decision rules -eD]gm
12. The main idea of the FLC is described in Section 3 while Section 4 8X278^
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describes the xx strategies. v046
13. Section 3 and 4 show experimental studies for verifying the vl+bc[ i~
proposed model. 3Of!Ykf=
14. Section 4 discusses a previous fuzzy set-based approach to cost %.'oY%
variance investigation. 3^$=XrD
15. Section 4 gives a specific example of xxx. Bu?Qyz2O
16. Section 4 is the experimental study to make a fuzzy model of i\DU<lD5VN
memory process. lOe|]pQ.,
17. Section 4 contains a discussion of the implication of the results of p-w:l*-`
Section 2 and 3. JBZ1DZAWC
18. Section 4 applies this fuzzy measure to the analysis of xx and V,8Z!.MG
illustrate its use on experimental data. F!4V!VWA}
19. Section 5 presents the primary results of the paper: a fuzzy set rce._w }
model .. 1A#/70Mo
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20. Section 5 contains some conclusions plus some ideas for further =w"Kkj>%oh
work. 23,pVo
21. Section 6 illustrates the model with an example. 3u+i
22. Various ways of justification and the reasons for their choice are T{-gbo`Yji
discussed very briefly in Section 2. W! Hn`T
23. In Section 2 are presented the block diagram expression of a @t*D<B$
whole model @0C[o
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of human DM system NpKyrXDJv
24. In Section 2 we shall list a collection of basic assumptions which Zg>]!^X8
a ... scheme must satisfy. DO+~
25. In Section 2 of this paper, we present representation and kCoE;)y$
uniqueness theorems for the fundamental measurement of fuzziness kg7bZ
when the domain of discourse is order-dense. .5s^a.e'O
26. In Section 3, we describe the preliminary results of an empirical )`ixT)
study n\<7`,
currently in progress to verify the measurement model and to 6X?:mn'%QF
construct membership functions. Uq{$j5p8
27. In Section 5 is analyzed the inference process through the two jENC1T(
kinds of inference experiments... ^e;9_(
This Section iVf7;M8O
1. In this section, the characteristics and environment under which 3;wiwN'
MRP is designed are described. [u^ fy<jdp
2. We will provide in this section basic terminologies and notations KhX)maQ
which are necessary for the understanding of subsequent results. }aI>dHL
Next Section oOAkwc%)b
2. The next section describes the mathematics that goes into the i "X" -)#
computer implementation of such fuzzy logic statements. (NDC9Lls
3. However, it is cumbersome for this purpose and in practical 3/
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applications the formulae were rearranged and simplified as oSf`F1;)HQ
discussed in the next section. Ex|Z@~T12
4. The three components will be described in the next two section, m,6
2'
and an example of xx analysis of a computer information system will 2Oyw#1tdn
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then illustrate their use. Qy}pn=#Q
5. We can interpret the results of Experiments I and II as in the MLM/!N 7
following sections. 4K dYiuz0`
6. The next section summarizes the method in a from that is useful 8;c\}D
for arguments based on xx :hW(2=%
Summary +ZiYl[_|
1. This paper concludes with a discussion of future research f7!48,(fB
consideration in section 5. )Y'g;
2. Section 5 summarizes the results of this investigation. <Kr`R+Q$DN
3. Section 5 gives the conclusions and future directions of research. 8g-Z~~0W1
4. Section 7 provides a summary and a discussion of some extensions *zDDi(@vtK
of the paper. bi+g=
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5. Finally, conclusions and future work are summarized jq8TfJ|
6. The basic questions posed above are then discussed and <exyd6iI
conclusions are drawn. y;4g>m
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7. Section 7 is the conclusion of the paper. V>E7!LIn.
Chapter 0. Abstract w9RBT(u
1. A basic problem in the design of xx is presented by the choice of a u*uHdV5
xx rate for the measurement of experimental variables. $UK m[:7
2. This paper examines a new measure of xx in xx based on fuzzy I8B0@ZtV
mathematics which overcomes the difficulties found in other xx _h,_HW)G
measures. 61&{I>~1
3. This paper describes a system for the analysis of the xx. :sLg$OF
4. The method involves the construction of xx from fuzzy relations. TgDT
5. The procedure is useful in analyzing how groups reach a decision. )p> p3b g
6. The technique used is to employ a newly developed and versatile @p^EXc*|
xx algorithm. 9mv0} I
7. The usefulness of xx is also considered. :V#xrH8R
8. A brief methodology used in xx is discussed. (a-Lx2 T
9. The analysis is useful in xx and xx problem. S
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10. A model is developed for a xx analysis using fuzzy matrices. ot!m=s
11. Algorithms to combine these estimates and produce a xx are 3&{6+ A
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presented and justified. qxHn+O!h
12. The use of the method is discussed and an example is given. aUc#,t;Qd
13. Results of an experimental applications of this xx analysis AGS(ud{
procedure are given to illustrate the proposed technique. 4!xRA ''
14. This paper analyses problems in OkISRj'!U
15. This paper outlines the functions carried out by ... Pec Zuv
16. This paper includes an illustration of the ... Z,O-P9jC
17. This paper provides an overview and information useful for %Ny1H/@Q1+
approaching p W5D!z
18. Emphasis is placed on the construction of a criterion function by t:P]b
p^#
which the xx in achieving a hierarchical system of objectives are h<$%y(lP
evaluated. s?->2gxhx
19. The main emphasis is placed on the problem of xx 8@S]P0lk
20. Our proposed model is verified through experimental study. ZPq.|6&
21. The experimental results reveal interesting examples of fuzzy ;/?w-)n?
phases of: xx, xx !T
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22. The compatibility of a project in terms of cost, and xx are likewise QOrMz`OA
represented by linguistic variables. ;XjXv'
23. A didactic example is included to illustrate the computational ^*B@=
procedure 2Kr>
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Chapter 1. Introduction S0:Oep
Time k2,`W2]^E
1. Over the course of the past 30 years, .. has emerged form intuitive @o'L! 5Y
2. Technological revolutions have recently hit the industrial world cwtlOg
3. The advent of ... systems for has had a significant impact on the B|$o.$5
4. The development of ... is explored 1x\k:2U
5. During the past decade, the theory of fuzzy sets has developed in a -J#RGB{7
variety of directions Lz-|M?(
6.The concept of xx was investigated quite intensively in recent years YN
<vOv
7. There has been a turning point in ... methodology in accordance Gx}`_[-
with the advent of ... l`:u5\ rM
8. A major concern in ... today is to continue to improve... afD {w*[8
9. A xx is a latecomer in the part representation arena. P{_%p<:V
2*#i/SE_
10. At the time of this writing, there is still no standard way of xx GQd[7j[sh
11. Although a lot of effort is being spent on improving these >BK/HuS
weaknesses, the efficient and effective method has yet to be `VUJW]wGu
developed. |_7k*:#q:
12. The pioneer work can be traced to xx [1965].
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13. To date, none of the methods developed is perfect and all are far Zby3.=.e
from ready to be used in commercial systems. v#<{Y'K
Objective / Goal / Purpose ) )FLM^dj
1. The purpose of the inference engine can be outlined as follows: -vY5h%7kf
2. The ultimate goal of the xx system is to allow the non-experts to UQ7]hX9
utilize the existing knowledge in the area of manual handling of loads, YX)Rs
Vf
and to provide intelligent, computer-aided instruction for xxx. zb"4_L@m2
3. The paper concerns the development of a xx I_Gz~ qk6
4. The scope of this research lies in %eIaH!x:
5. The main theme of the paper is the application of rule-based CnZEBAU
decision making. /3SEu(d!
6. These objectives are to be met with such thoroughness and ='4)E6ea?
confidence as to permit ... |>'N^
7. The objectives of the ... operations study are as follows: |mRlP5
8. The primary purpose/consideration/objective of -\;0gnf{J
9. The ultimate goal of this concept is to provide /je
$+
10. The main objective of such a ... system is to 2fu<s^9dh
11. The aim of this paper is to provide methods to construct such 19y,O0# _
probability distribution. ;fW~Gb?"
12. In order to achieve these objectives, an xx must meet the cqJXZ.XC
following requirements: |W=-/~X
13. In order to take advantage of their similarity :#?_4D!r
14. more research is still required before final goal of ... can be <DR!AR)
completed #Ktk[ "6
15. In this trial, the objective is to generate... gt(p%~
16. for the sake of concentrating on ... research issues .Tq8Qdl
17. A major goal of this report is to extend the utilization of a recently \9`
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developed procedure for the xx. Y~{<Hs
Y`eF9Im,
18. For an illustrative purpose, four well-known OR problems are w{xa@Q]t-
studied in presence of fuzzy data: xx. $%"hhju
19. A major thrust of the paper is to discuss approaches and ~]d 9 J
strategies for structuring ..methods .[1 f$
20. This illustration points out the need to specify qpCaW0]7
21. The ultimate goal is both descriptive and prescriptive. \#) YS
22. Chapter 2. Literature Review ^gp]tAf
23. A wealth of information is to be found in the statistics literature,
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for example, regarding xx #\^=3A|b
24. A considerable amount of research has been done .. during the K\;4;6g
last decade MD<x{7O12>
25. A great number of studies report on the treatment of YsVKdh
uncertainties associated with xx. LAlX|b
26. There is considerable amount of literature on planning %$Py @g
27. However, these studies do not provide much attention to +}?%w|8||s
uncertainty in xx. k\T]*A
28. Since then, the subject has been extensively explored and it is Ij.mLO]
still under investigation as well in methodological aspects as in bCC &5b
concrete applications. >yn]h4M
29. Many research studies have been carried out on this topic. w42{)S"
30. Problem of xx draws recently more and more attention of system 5WRqeSGh
analysis. t g-(e=S4P
31. Attempts to resolve this dilemma have resulted in the vf<Dqy <M.
development of u1u;aG
32. Many complex processes unfortunately, do not yield to this .*oL@iX
design procedure and have, therefore, not yet been automated. CPcUB4a%#
33. Most of the methods developed so far are deterministic and /or BCz4
s{F
probabilistic in nature. .6
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34. The central issue in all these studies is to tB`"gC~
35. The problem of xx has been studied by other investigators, 8?kB+}@6X
however, these studies have been based upon classical statistical W1xPK*
approaches. c?c\6*O
36. Applied ... techniques to PX&}g-M9
37. Characterized the ... system as ,Fkq/h
yY49JZ
38. Developed an algorithm to US9aW)8
39. Developed a system called ... which AT3HHQD
40. Uses an iterative algorithm to deduce %Y'/_
esH2
41. Emphasized the need to [k
r-gV
42. Identifies six key issues surrounding high technology %_p]6doF
43. A comprehensive study of the... has been undertaken ZTfW_0
44. Much work has been reported recently in these filed
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45. Proposed/Presented/State that/Described/Illustrated/ >Sk%78={R
Indicated/Has shown / showed/Address/Highlights fiSX( 9
46. Point out that the problem of qyKR]%yzi
47. A study on ...was done / developed by [] P2s\f;Dwr
48. Previous work, such as [] and [], deal only with )*uo tV
49. The approach taken by [] is iRG6Cw2
50. The system developed by [] consists "o u{bKe
51. A paper relevant to this research was published by [] c>/7E-T
52. []'s model requires consideration of... |+sAqx1IF
53. []' model draws attention to evolution in human development ^
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54. []'s model focuses on... #FRm<9/j
55. Little research has been conducted in applying ... to W)
56. The published information that is relevant to this research... zn^ G V
57. This study further shows that gCkR$.-E
58. Their work is based on the principle of Em{;l:;(W
59. More history of ... can be found in xx et al. [1979]. UM21Cfqex
60. Studies have been completed to established ""N~##)8
61. The ...studies indicated that ScVbo3{m*T
62. Though application of xx in the filed of xx has proliferated in Z]k@pR !
recent years, effort in analyzing xx, especially xx, is lacking. tr/.pw6
Problem / Issue / Question 1LvR,V<