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Beginning ,~d0R4)
1. In this paper, we focus on the need for 5j`xSG
2. This paper proceeds as follow. }d?;kt
3. The structure of the paper is as follows. H]/~
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4. In this paper, we shall first briefly introduce fuzzy sets and related @-)?uYw:r
concepts P?h1nxm`'
5. To begin with we will provide a brief background on the py'vD3Q
Introduction ^Lgvey%
1. This will be followed by a description of the fuzzy nature of the l/G+X
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problem and a detailed presentation of how the required TRm#H$
membership functions are defined. d%8n
2. Details on xx and xx are discussed in later sections. dBXiLrEbs
3. In the next section, after a statement of the basic problem, various 72sqt5C]
situations involving possibility knowledge are investigated: first, an ~b~Tq
entirely possibility model is proposed; then the cases of a fuzzy WoZU} T-
service time with stochastic arrivals and non-fuzzy service rule is d~u=,@FK
studied; lastly, fuzzy service rule are considered. 0zH-g
Review i=xh;yb|
1. This review is followed by an introduction. D m0)%#
2. A brief summary of some of the relevant concepts in xxx and xxx is 5IF5R#
presented in Section 2. iM<$
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3. In the next section, a brief review of the .... is given. .}\8Y=
4. In the next section, a short review of ... is given with special regard unFRfec{
to ... a}%f+`z
5. Section 2 reviews relevant research related to xx. K KB+o)*W
6. Section 1.1 briefly surveys the motivation for a methodology of ,JZ>)(@)
action, while 1.2 looks at the difficulties posed by the complexity of +F)-n2Bi
systems and outlines the need for development of possibility =5\*Zh1
methods. V$ H(a`!
Body ,'s}g,
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1. Section 1 defines the notion of robustness, and argues for its -P;0<j@6k5
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importance. n2K1X!E$
2. Section 1 devoted to the basic aspects of the FLC decision-making fd
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logic. (mIjG)4t
3. Section 2 gives the background of the problem which includes xxx vIRT$W' O}
4. Section 2 discusses some problems with and approaches to, tB4mhX|\
natural language understanding. "-
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5. Section 2 explains how flexibility which often ... can be expressed g!XC5*}
in terms of fuzzy time-window F^.A~{&L
6. Section 3 discusses the aspects of fuzzy set theory that are used in 6M
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the ... ]Ucw&B*@
7. Section 3 describes the system itself in a general way, including "Pwa}{
the ….. and also discusses how to evaluate system performance. C-y MWr
8. Section 3 describes a new measure of xx. Rge>20uTl$
9. Section 3 demonstrates the use of fuzzy possibility theory in the N
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analysis of xx. %+l95Dv1
10. Section 3 is a fine description of fuzzy formulation of human p3A9<g
decision. 3Z?ornS
11. Section 3 is developed to the modeling and processing of fuzzy osXEzr(
decision rules i%FC
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12. The main idea of the FLC is described in Section 3 while Section 4 2K9X (th1
describes the xx strategies. _Q1p_sdg
13. Section 3 and 4 show experimental studies for verifying the xq((]5P
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proposed model. un 5r9
14. Section 4 discusses a previous fuzzy set-based approach to cost [h'u@%N|/
variance investigation. F%6wdM W
15. Section 4 gives a specific example of xxx. O.+J%],
16. Section 4 is the experimental study to make a fuzzy model of 9E
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memory process. .aT@'a{F
17. Section 4 contains a discussion of the implication of the results of ;<M}ZL@m
Section 2 and 3. DO(};R%=
18. Section 4 applies this fuzzy measure to the analysis of xx and qKD
illustrate its use on experimental data. _3aE]\O[
19. Section 5 presents the primary results of the paper: a fuzzy set 4;AF\De
model .. Br!;Ac&N
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20. Section 5 contains some conclusions plus some ideas for further DT`HS/~fH
work. Ye3o}G9z
21. Section 6 illustrates the model with an example. ~pZ0B#K
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22. Various ways of justification and the reasons for their choice are sbmtx/%U
discussed very briefly in Section 2. DU\ytD`u
23. In Section 2 are presented the block diagram expression of a n}UJ-\$
whole model >+J}m
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of human DM system ee?
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24. In Section 2 we shall list a collection of basic assumptions which 684& H8
a ... scheme must satisfy.
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25. In Section 2 of this paper, we present representation and {rcN_N%
uniqueness theorems for the fundamental measurement of fuzziness $sY'=S
when the domain of discourse is order-dense. `o{ Z;-OF
26. In Section 3, we describe the preliminary results of an empirical ~-k,$J?7
study &9flNoNR9
currently in progress to verify the measurement model and to )pl5nu#<
construct membership functions. 2H%lN`
27. In Section 5 is analyzed the inference process through the two "d)YqQ
kinds of inference experiments... b\0>uU
This Section fx|d"VF[
1. In this section, the characteristics and environment under which :6(\:
MRP is designed are described. lNxP
2. We will provide in this section basic terminologies and notations [
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which are necessary for the understanding of subsequent results. OM1Z}%J
Next Section d3q%[[@
2. The next section describes the mathematics that goes into the <<01@Q <