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Beginning m]}EVa_I`/
1. In this paper, we focus on the need for 7lr;S(C
2. This paper proceeds as follow. Dj3,SJ*x
3. The structure of the paper is as follows. f*^bV_
4. In this paper, we shall first briefly introduce fuzzy sets and related h|<;:o?yh
concepts N5tFEV'G
5. To begin with we will provide a brief background on the g9IIC5
Introduction }Q-Tw,j
1. This will be followed by a description of the fuzzy nature of the $-(lp0\*
problem and a detailed presentation of how the required xJOp~fKG
membership functions are defined. _Ecs{'k
2. Details on xx and xx are discussed in later sections. LwH+X:?i
3. In the next section, after a statement of the basic problem, various d~T@fa
situations involving possibility knowledge are investigated: first, an Jt)J1CAYo
entirely possibility model is proposed; then the cases of a fuzzy
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service time with stochastic arrivals and non-fuzzy service rule is Q{
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studied; lastly, fuzzy service rule are considered. \8k4v#wH
Review P|a|4Bb+fW
1. This review is followed by an introduction. r]S"i$
2. A brief summary of some of the relevant concepts in xxx and xxx is %B\VY+
presented in Section 2. p1IN%*IV+o
3. In the next section, a brief review of the .... is given. O_*tDq,e
4. In the next section, a short review of ... is given with special regard BNixp[Hc
to ... e_FoNT
5. Section 2 reviews relevant research related to xx. #zc$cr
6. Section 1.1 briefly surveys the motivation for a methodology of o%$R`;
action, while 1.2 looks at the difficulties posed by the complexity of _iu^VK,}
systems and outlines the need for development of possibility k40`,;}9
methods. XMLl>w2z
Body NFf?~I&mfu
1. Section 1 defines the notion of robustness, and argues for its &B$%|~Y5
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importance. mqiCn]8G
2. Section 1 devoted to the basic aspects of the FLC decision-making ra1_XR}
logic. =r~ExW}+
3. Section 2 gives the background of the problem which includes xxx eX'V
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4. Section 2 discusses some problems with and approaches to, 2Xv$
natural language understanding. -LlS9[r0
5. Section 2 explains how flexibility which often ... can be expressed ",S146Y+
in terms of fuzzy time-window @\U] hN?
6. Section 3 discusses the aspects of fuzzy set theory that are used in t24.u+O
the ... OS=~<ba
7. Section 3 describes the system itself in a general way, including BfD C[(n`
the ….. and also discusses how to evaluate system performance. QGnUPiD^
8. Section 3 describes a new measure of xx. ,S&p\(r.
9. Section 3 demonstrates the use of fuzzy possibility theory in the @CKMJ^#|
analysis of xx. R3*{"!O
10. Section 3 is a fine description of fuzzy formulation of human jT4
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decision. }|],UXk{xB
11. Section 3 is developed to the modeling and processing of fuzzy ~e686L0j
decision rules D_BdvWSxj
12. The main idea of the FLC is described in Section 3 while Section 4 hwSxdT6
describes the xx strategies. u&e?3qKX(
13. Section 3 and 4 show experimental studies for verifying the .RWq!Z=)3
proposed model. +9
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14. Section 4 discusses a previous fuzzy set-based approach to cost -`
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variance investigation. ,hCbx#h
15. Section 4 gives a specific example of xxx. U/-|hfh
16. Section 4 is the experimental study to make a fuzzy model of &x/Z{ut
memory process. it->)?"(6
17. Section 4 contains a discussion of the implication of the results of a@!
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Section 2 and 3. Gyc_B
18. Section 4 applies this fuzzy measure to the analysis of xx and 5qkyi]/U8
illustrate its use on experimental data. /Y[ b8f
19. Section 5 presents the primary results of the paper: a fuzzy set ;VbB]aUg
model .. ;bFd*8?;
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20. Section 5 contains some conclusions plus some ideas for further
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work. X|y0pH:S
21. Section 6 illustrates the model with an example. afjEN
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22. Various ways of justification and the reasons for their choice are ;ih;8
discussed very briefly in Section 2. Xet}
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23. In Section 2 are presented the block diagram expression of a Ee=!bv(%70
whole model h
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of human DM system 35YDP|XZb
24. In Section 2 we shall list a collection of basic assumptions which )~#3A@
a ... scheme must satisfy. xC2y/?
25. In Section 2 of this paper, we present representation and %%lJyLq'Vk
uniqueness theorems for the fundamental measurement of fuzziness vh^?M#\
when the domain of discourse is order-dense. 3*oZol/
26. In Section 3, we describe the preliminary results of an empirical J$,bsMIX
study }q:4Zh'l!
currently in progress to verify the measurement model and to SI7r`'7A'
construct membership functions. Q=^TKsu
27. In Section 5 is analyzed the inference process through the two !~Kg_*IT
kinds of inference experiments... 5PE}3he:
This Section P -X2A2
1. In this section, the characteristics and environment under which &c
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MRP is designed are described. _BG7JvI
2. We will provide in this section basic terminologies and notations {6>$w/+~
which are necessary for the understanding of subsequent results. @R ;&P