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Beginning )^)|b5,
1. In this paper, we focus on the need for rXe+#`m2
2. This paper proceeds as follow. P;
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3. The structure of the paper is as follows. \tS|
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4. In this paper, we shall first briefly introduce fuzzy sets and related IWhe N
concepts :
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5. To begin with we will provide a brief background on the *s2 C+@ef
Introduction %V!!S#W
1. This will be followed by a description of the fuzzy nature of the j{/wG::
problem and a detailed presentation of how the required :ZM=P3QZ
membership functions are defined. 5y~B/.YY
2. Details on xx and xx are discussed in later sections. B|;?#okx
3. In the next section, after a statement of the basic problem, various :{Iv
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situations involving possibility knowledge are investigated: first, an Ftud6
entirely possibility model is proposed; then the cases of a fuzzy $')Uie<!8
service time with stochastic arrivals and non-fuzzy service rule is 4&`d$K
studied; lastly, fuzzy service rule are considered. xT+@0?|F
Review z}7U>y6`
1. This review is followed by an introduction. P$`k*
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2. A brief summary of some of the relevant concepts in xxx and xxx is .Na'yS `J
presented in Section 2. !t&C,@Ox
3. In the next section, a brief review of the .... is given. M;@/697G
4. In the next section, a short review of ... is given with special regard `{S4_'
to ... _eaK:EW
5. Section 2 reviews relevant research related to xx. hXn@vK6
6. Section 1.1 briefly surveys the motivation for a methodology of 6uWPIM;
action, while 1.2 looks at the difficulties posed by the complexity of ^c>ROpic
systems and outlines the need for development of possibility ~NO'8Mr
methods. B]cV|S|
Body (_~Dyvo
1. Section 1 defines the notion of robustness, and argues for its ,V=]QHcg
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importance. A4VVy~sd
2. Section 1 devoted to the basic aspects of the FLC decision-making 1Q??R}
logic. d7L|yeb"
3. Section 2 gives the background of the problem which includes xxx #K[6Ai=We}
4. Section 2 discusses some problems with and approaches to, K>`*JJ,
natural language understanding. _VAX~Y]
5. Section 2 explains how flexibility which often ... can be expressed 3VmF1w
2
in terms of fuzzy time-window DUu~s,A
6. Section 3 discusses the aspects of fuzzy set theory that are used in A ]~%<=b
the ... Gv}~
7. Section 3 describes the system itself in a general way, including QU^?a~r
the ….. and also discusses how to evaluate system performance. AU
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8. Section 3 describes a new measure of xx. EN2/3~syO-
9. Section 3 demonstrates the use of fuzzy possibility theory in the >WW5;7$
analysis of xx. &GLe4zEh
10. Section 3 is a fine description of fuzzy formulation of human ao)8ie
decision. 2o9IP>#u
11. Section 3 is developed to the modeling and processing of fuzzy nM&UdKf3
decision rules GxcW^{;
12. The main idea of the FLC is described in Section 3 while Section 4 O2>
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describes the xx strategies. e.pq6D5
13. Section 3 and 4 show experimental studies for verifying the wDS(zG
proposed model. S.A|(?x
14. Section 4 discusses a previous fuzzy set-based approach to cost 8n)3'ok
variance investigation. b R;Wf5
15. Section 4 gives a specific example of xxx. qz/d6-0"
16. Section 4 is the experimental study to make a fuzzy model of K+J fU
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memory process. Stxrgmu
17. Section 4 contains a discussion of the implication of the results of B(|dT66K
Section 2 and 3. 5Dlx]_
18. Section 4 applies this fuzzy measure to the analysis of xx and &26H
illustrate its use on experimental data. %G
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19. Section 5 presents the primary results of the paper: a fuzzy set ck4g=QpD{
model .. G@;I^_
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20. Section 5 contains some conclusions plus some ideas for further gR:21*&cz
work. Fq9>t/Zj
21. Section 6 illustrates the model with an example. z("Fy
22. Various ways of justification and the reasons for their choice are mrz@Y0mgL
discussed very briefly in Section 2. J=qPc}+
23. In Section 2 are presented the block diagram expression of a 6C|]Fm
whole model &BDdJwE
of human DM system ,dIo\Lm
24. In Section 2 we shall list a collection of basic assumptions which hu+% X.F4
a ... scheme must satisfy. K'zG[[P
25. In Section 2 of this paper, we present representation and qxe%RYdA'j
uniqueness theorems for the fundamental measurement of fuzziness aY7.<p*a
when the domain of discourse is order-dense. :'LG%E:b
26. In Section 3, we describe the preliminary results of an empirical xz$S5tgDQK
study @j Y_^8#S
currently in progress to verify the measurement model and to rX<gcntv
construct membership functions. dnP3{!"b
27. In Section 5 is analyzed the inference process through the two Qb;5:U/x
kinds of inference experiments... \!tS|h
This Section $ (gR^L
1. In this section, the characteristics and environment under which {PCf'n
MRP is designed are described. E0i_sB~T
2. We will provide in this section basic terminologies and notations 5E+k}S]M$
which are necessary for the understanding of subsequent results. Xkv+"F=-
Next Section Uieg4I ro
2. The next section describes the mathematics that goes into the 9$xEktfV
computer implementation of such fuzzy logic statements. [[[QBplJ
3. However, it is cumbersome for this purpose and in practical Z)U#5|sf
applications the formulae were rearranged and simplified as JqdNO:8
discussed in the next section. j{nkus2
4. The three components will be described in the next two section, N
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and an example of xx analysis of a computer information system will GZN@MK*co
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then illustrate their use. YJ5;a\QxN
5. We can interpret the results of Experiments I and II as in the ^yRCR] oT
following sections. u%O^hcfb
6. The next section summarizes the method in a from that is useful qR_"aQ7s2
for arguments based on xx w9}I*Nra
Summary <MN+2^ed&
1. This paper concludes with a discussion of future research Ze$:-7Czl
consideration in section 5. 2|~&x~
2. Section 5 summarizes the results of this investigation. -o#0Yt}3
3. Section 5 gives the conclusions and future directions of research. ej<z]{`05
4. Section 7 provides a summary and a discussion of some extensions O)5-6lm
of the paper. Yb =8\<;
5. Finally, conclusions and future work are summarized $zCUQthL@
6. The basic questions posed above are then discussed and &F#X0h/m=
conclusions are drawn. A
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7. Section 7 is the conclusion of the paper. c_^H;~^rL
Chapter 0. Abstract 33Mr9Doon
1. A basic problem in the design of xx is presented by the choice of a n?,fF(
xx rate for the measurement of experimental variables. ((dG<
2. This paper examines a new measure of xx in xx based on fuzzy sCb?TyN'n
mathematics which overcomes the difficulties found in other xx `bC_J,>_
measures. !#iP)"O
3. This paper describes a system for the analysis of the xx. jv0e&rt
4. The method involves the construction of xx from fuzzy relations. Eun%uah6c
5. The procedure is useful in analyzing how groups reach a decision. <1jiU%!w
6. The technique used is to employ a newly developed and versatile M(3E
b;`
xx algorithm. 56':U29.]
7. The usefulness of xx is also considered. oW+R:2I~O
8. A brief methodology used in xx is discussed. 98 O z
9. The analysis is useful in xx and xx problem. rWvJ{-%
10. A model is developed for a xx analysis using fuzzy matrices. wOk:Q4OjL
11. Algorithms to combine these estimates and produce a xx are b'{D4/
N]=.I
presented and justified. *@Qt*f
12. The use of the method is discussed and an example is given. [w4z)!
13. Results of an experimental applications of this xx analysis OIWo
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procedure are given to illustrate the proposed technique. Lq&xlW
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14. This paper analyses problems in l/I W"A
15. This paper outlines the functions carried out by ... n+i}>3'A
16. This paper includes an illustration of the ... "M*\,IH
17. This paper provides an overview and information useful for W.CIyGK
approaching 1IsR}uLh
18. Emphasis is placed on the construction of a criterion function by 4v?S`w:6
which the xx in achieving a hierarchical system of objectives are IWQ8e$N
evaluated. Z3/ zUtgs
19. The main emphasis is placed on the problem of xx R`<E3J\*
20. Our proposed model is verified through experimental study. 7)]G"m{
21. The experimental results reveal interesting examples of fuzzy lk'RW
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phases of: xx, xx & 3a+6!L[
22. The compatibility of a project in terms of cost, and xx are likewise OL=b hZ
represented by linguistic variables. O|/tRkDMP{
23. A didactic example is included to illustrate the computational \E30.>%,
procedure lV1|\~?4
Chapter 1. Introduction _\<M58/z
Time .6hH}BM
1. Over the course of the past 30 years, .. has emerged form intuitive YUH/tl
2. Technological revolutions have recently hit the industrial world ^q6~xC,/
3. The advent of ... systems for has had a significant impact on the -/</7I
4. The development of ... is explored
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5. During the past decade, the theory of fuzzy sets has developed in a A4^+p0@
variety of directions 4>W`XH
6.The concept of xx was investigated quite intensively in recent years ~,:f,FkSQ
7. There has been a turning point in ... methodology in accordance N4:'X6u;
with the advent of ... g[$B90
8. A major concern in ... today is to continue to improve... gM*s/,;O"
9. A xx is a latecomer in the part representation arena. ,y >Na{@Y
@.{
10. At the time of this writing, there is still no standard way of xx r~TT c)2
11. Although a lot of effort is being spent on improving these A>?fbY2n
weaknesses, the efficient and effective method has yet to be >g[W@FhT'k
developed. ^WNJQg'
12. The pioneer work can be traced to xx [1965]. |}`5<a!6U
13. To date, none of the methods developed is perfect and all are far I%p#E#[G
from ready to be used in commercial systems. T)u w2
Objective / Goal / Purpose vf2K2\fn
1. The purpose of the inference engine can be outlined as follows: !r|X
6`g
2. The ultimate goal of the xx system is to allow the non-experts to ^6+x0[13
utilize the existing knowledge in the area of manual handling of loads, @I&"P:E0F;
and to provide intelligent, computer-aided instruction for xxx. E(@;p%:
3. The paper concerns the development of a xx j1ZFsTFMWp
4. The scope of this research lies in T?Y\~.+99
5. The main theme of the paper is the application of rule-based b5DrwX{Ff
decision making.
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6. These objectives are to be met with such thoroughness and o$O,#^
confidence as to permit ... lQ/XJw
7. The objectives of the ... operations study are as follows: +HX'A C
8. The primary purpose/consideration/objective of W(aRO
9. The ultimate goal of this concept is to provide @m V C
10. The main objective of such a ... system is to %U
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11. The aim of this paper is to provide methods to construct such
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probability distribution. Aq!['G
12. In order to achieve these objectives, an xx must meet the (5~C
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following requirements: D.(G 9H
13. In order to take advantage of their similarity >K
:"[?
14. more research is still required before final goal of ... can be @@wx~|%
completed _sVs6AJ
15. In this trial, the objective is to generate... ImY.HB^&
16. for the sake of concentrating on ... research issues Yys~p2
17. A major goal of this report is to extend the utilization of a recently !dY:S';~
developed procedure for the xx. Nz*sD^SJa
n#Roz5/U
18. For an illustrative purpose, four well-known OR problems are 4_+Pv6
studied in presence of fuzzy data: xx. N}fUBX4k
19. A major thrust of the paper is to discuss approaches and G%!\ p:w
strategies for structuring ..methods -vHr1I<
20. This illustration points out the need to specify gvNZrp>e!
21. The ultimate goal is both descriptive and prescriptive. T-C#xmY(
22. Chapter 2. Literature Review .dT;T%3fO
23. A wealth of information is to be found in the statistics literature, ti^v%+r1
for example, regarding xx YM`pNtQ
24. A considerable amount of research has been done .. during the -f
J@R1]
last decade QO{=Wi-
25. A great number of studies report on the treatment of ttaQlEa=Z
uncertainties associated with xx. ux
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26. There is considerable amount of literature on planning Wi[m`#
27. However, these studies do not provide much attention to M~Qj'VVL
uncertainty in xx. BD7@Mj*|
28. Since then, the subject has been extensively explored and it is N4mJU'_{
still under investigation as well in methodological aspects as in hNnX-^J<o
concrete applications. P5>5ps"iU
29. Many research studies have been carried out on this topic.
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30. Problem of xx draws recently more and more attention of system !UoU#YU
analysis.
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31. Attempts to resolve this dilemma have resulted in the ^2^|AXNES
development of +Y)#yGUn
32. Many complex processes unfortunately, do not yield to this 6lmiMU&