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Beginning ;EK(b
1. In this paper, we focus on the need for mWNR( ()v
2. This paper proceeds as follow. )r ULT$;i@
3. The structure of the paper is as follows. qovQ9O
4. In this paper, we shall first briefly introduce fuzzy sets and related ,+~2&>wj
concepts e &d3SQ%
5. To begin with we will provide a brief background on the 0r1g$
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Introduction g<fP:/
1. This will be followed by a description of the fuzzy nature of the ppEJs
problem and a detailed presentation of how the required CNut{4
membership functions are defined. e{5,'(1]
2. Details on xx and xx are discussed in later sections. }xqXd%uz
3. In the next section, after a statement of the basic problem, various LaDY`u0G%
situations involving possibility knowledge are investigated: first, an |H:<:*=6c
entirely possibility model is proposed; then the cases of a fuzzy 8zAg;b[
service time with stochastic arrivals and non-fuzzy service rule is PQ,+hq
studied; lastly, fuzzy service rule are considered. TaOOq}8c#
Review D%A@lMru
1. This review is followed by an introduction. tR<L`?4
2. A brief summary of some of the relevant concepts in xxx and xxx is 2\5cjdy
presented in Section 2. 4Hk6b09
3. In the next section, a brief review of the .... is given. va^0JfQ
4. In the next section, a short review of ... is given with special regard wk@yTTnb
to ... l]$40 j
5. Section 2 reviews relevant research related to xx. LP ,9<&"<
6. Section 1.1 briefly surveys the motivation for a methodology of Q&gPa]z]}
action, while 1.2 looks at the difficulties posed by the complexity of {|XQO'Wg
systems and outlines the need for development of possibility ]%Y\ZIS
methods. iD<6t_8),
Body HVGr-/
1. Section 1 defines the notion of robustness, and argues for its ,%Z&*n
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importance. Pcdf$a"`
2. Section 1 devoted to the basic aspects of the FLC decision-making Px#$uU
logic. -;>#3O-
3. Section 2 gives the background of the problem which includes xxx (Xo SG
4. Section 2 discusses some problems with and approaches to, f>z`i\1oO
natural language understanding. f ;wc{qy
5. Section 2 explains how flexibility which often ... can be expressed +
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in terms of fuzzy time-window o%`npi1y
6. Section 3 discusses the aspects of fuzzy set theory that are used in q{E"pyt36R
the ... ?/'}JS(Sm
7. Section 3 describes the system itself in a general way, including P"F{=\V1`<
the ….. and also discusses how to evaluate system performance. *b"CPg/\
8. Section 3 describes a new measure of xx. h!e2
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9. Section 3 demonstrates the use of fuzzy possibility theory in the
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analysis of xx. O R
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10. Section 3 is a fine description of fuzzy formulation of human %hINpZMr
decision. DMd ,8W7a
11. Section 3 is developed to the modeling and processing of fuzzy P+Z\3re
decision rules hD
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12. The main idea of the FLC is described in Section 3 while Section 4 V"#Jk!k9k
describes the xx strategies. b/<mRQ{
13. Section 3 and 4 show experimental studies for verifying the DZs^ 2Zc
proposed model. mW4%2fD[
14. Section 4 discusses a previous fuzzy set-based approach to cost `FJ|W6%
variance investigation. .Xd0
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15. Section 4 gives a specific example of xxx. B4yh3cf
16. Section 4 is the experimental study to make a fuzzy model of S&?7K-F>_o
memory process. A#DR9Eq
17. Section 4 contains a discussion of the implication of the results of ?`AGF%zp
Section 2 and 3. kus}WJ
18. Section 4 applies this fuzzy measure to the analysis of xx and BU6Jyuwn
illustrate its use on experimental data. r{[OJc!
19. Section 5 presents the primary results of the paper: a fuzzy set ,2`~ N
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model .. %8FN0
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20. Section 5 contains some conclusions plus some ideas for further >I<PO.c!
work. <1@
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21. Section 6 illustrates the model with an example. v0@)t&O
22. Various ways of justification and the reasons for their choice are ;>ozEh#8w
discussed very briefly in Section 2. JNo8>aFOb
23. In Section 2 are presented the block diagram expression of a _x % 1 F
whole model =u|~
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of human DM system pbn\9C/
24. In Section 2 we shall list a collection of basic assumptions which sN/+
a ... scheme must satisfy. Zdn!qyR`
25. In Section 2 of this paper, we present representation and 8MZ$T3IM
uniqueness theorems for the fundamental measurement of fuzziness A3+6#?:;
when the domain of discourse is order-dense. /Ox)|)l
26. In Section 3, we describe the preliminary results of an empirical ` |Fp^gM
study
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currently in progress to verify the measurement model and to urZ8j?}c
construct membership functions. lG"H4Aa>
27. In Section 5 is analyzed the inference process through the two u$\a3yi
kinds of inference experiments... EW(J5/mn
This Section 'uC59X4l
1. In this section, the characteristics and environment under which PRr*]$\&Mj
MRP is designed are described. Ijedo/
2. We will provide in this section basic terminologies and notations `ROG~0lN(
which are necessary for the understanding of subsequent results. LWmB,
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Next Section 3 ^}A %-bS
2. The next section describes the mathematics that goes into the $>w/Cy
computer implementation of such fuzzy logic statements. {o|k.zy
3. However, it is cumbersome for this purpose and in practical ijW7c+yd
applications the formulae were rearranged and simplified as [1(FgyE
discussed in the next section. r"]'`qP,
4. The three components will be described in the next two section, AsxD}Nw[Z*
and an example of xx analysis of a computer information system will 7%d8D>uw8
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then illustrate their use. )K0i@hM(n
5. We can interpret the results of Experiments I and II as in the .-]R9KjR1J
following sections. @x{`\AM|%
6. The next section summarizes the method in a from that is useful `_qK&&s
for arguments based on xx pn%#w*'
Summary a.kbov(
1. This paper concludes with a discussion of future research jRj=Awy
consideration in section 5. I.V:q!4*
2. Section 5 summarizes the results of this investigation. >k(MUmhX
3. Section 5 gives the conclusions and future directions of research. K1q+~4>\|
4. Section 7 provides a summary and a discussion of some extensions j^SZnMQf
of the paper. (03pJV&K
5. Finally, conclusions and future work are summarized y8
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6. The basic questions posed above are then discussed and w *!wQ,o
conclusions are drawn. 46x.i;b7
7. Section 7 is the conclusion of the paper. [r-}bp'Gp
Chapter 0. Abstract r
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1. A basic problem in the design of xx is presented by the choice of a Z"v
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xx rate for the measurement of experimental variables. 8l+H"M&|
2. This paper examines a new measure of xx in xx based on fuzzy 8OFj0S1r`
mathematics which overcomes the difficulties found in other xx 9lzQ\}
measures. IOl+t,0x&
3. This paper describes a system for the analysis of the xx. |+f-h,
4. The method involves the construction of xx from fuzzy relations. 9;=dxWf
5. The procedure is useful in analyzing how groups reach a decision. LR&_2e^[
6. The technique used is to employ a newly developed and versatile m#5_%3T
xx algorithm. ]\c,BWC@e
7. The usefulness of xx is also considered. c:4P%({
8. A brief methodology used in xx is discussed. K~6e5D7.
9. The analysis is useful in xx and xx problem. [c&