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Beginning *.w6 =}
1. In this paper, we focus on the need for f1SKOq
2. This paper proceeds as follow. ~ a2A"#f
3. The structure of the paper is as follows. A
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4. In this paper, we shall first briefly introduce fuzzy sets and related Nz{qu}dt
concepts ES,JdImZ|
5. To begin with we will provide a brief background on the ;ja~Q .}4
Introduction
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1. This will be followed by a description of the fuzzy nature of the `Qb!W45
problem and a detailed presentation of how the required hH>a{7V
membership functions are defined. B7C<;`5TiD
2. Details on xx and xx are discussed in later sections. F6CuY$0m=
3. In the next section, after a statement of the basic problem, various ?
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situations involving possibility knowledge are investigated: first, an fMf;
entirely possibility model is proposed; then the cases of a fuzzy bp8sZK"z
service time with stochastic arrivals and non-fuzzy service rule is ~g[D!HV|yu
studied; lastly, fuzzy service rule are considered. ]Y?ZUSCJ
Review u$nmnd`g
1. This review is followed by an introduction. e 0$m<5
2. A brief summary of some of the relevant concepts in xxx and xxx is !N\_D
presented in Section 2. Qj
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3. In the next section, a brief review of the .... is given. 0 "@J*e#
4. In the next section, a short review of ... is given with special regard wk'(g_DP
to ... }n^}%GB
5. Section 2 reviews relevant research related to xx. }3
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6. Section 1.1 briefly surveys the motivation for a methodology of -=:tlH
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action, while 1.2 looks at the difficulties posed by the complexity of 5't9/8i
systems and outlines the need for development of possibility -{?xl*D
methods. `K$;K8! 1
Body ~nj+"d]
1. Section 1 defines the notion of robustness, and argues for its =<M>fJ
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importance. # NK{]H$fd
2. Section 1 devoted to the basic aspects of the FLC decision-making ze+S_{
logic. <VN< ~sz
3. Section 2 gives the background of the problem which includes xxx Q[`2?j?
4. Section 2 discusses some problems with and approaches to, "AWk
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natural language understanding. ex|)3|J
5. Section 2 explains how flexibility which often ... can be expressed (/>
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in terms of fuzzy time-window ^^xzaF
6. Section 3 discusses the aspects of fuzzy set theory that are used in Pqvj0zU o$
the ... O9N%dir
7. Section 3 describes the system itself in a general way, including M-!#-l
the ….. and also discusses how to evaluate system performance. su-0G?c
8. Section 3 describes a new measure of xx. >X>]QMfh
9. Section 3 demonstrates the use of fuzzy possibility theory in the (hY^E(D
analysis of xx. jNIz:_c-~
10. Section 3 is a fine description of fuzzy formulation of human ri9n.-xs
decision. ~F~hgVS5
11. Section 3 is developed to the modeling and processing of fuzzy kl&_O8E+K
decision rules ybB<AkYc
12. The main idea of the FLC is described in Section 3 while Section 4 pA
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describes the xx strategies. Xn<|6u
13. Section 3 and 4 show experimental studies for verifying the H/G;hk
proposed model. xA}{ZnTbN
14. Section 4 discusses a previous fuzzy set-based approach to cost \>eFs} Y/
variance investigation. .B$3y#TOb
15. Section 4 gives a specific example of xxx. okW'}@jD
16. Section 4 is the experimental study to make a fuzzy model of NL ceBok
memory process. 1T3YFt@&I
17. Section 4 contains a discussion of the implication of the results of }M
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Section 2 and 3. 69C
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18. Section 4 applies this fuzzy measure to the analysis of xx and eR8>5:V_
illustrate its use on experimental data. z<<aT
19. Section 5 presents the primary results of the paper: a fuzzy set piiO5fK
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model .. (b1rd
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20. Section 5 contains some conclusions plus some ideas for further A'? W5~F
work. ~/R}K g(
21. Section 6 illustrates the model with an example. jM(!!AjpC
22. Various ways of justification and the reasons for their choice are 6HR*)*>z_
discussed very briefly in Section 2. z: W1(/W~
23. In Section 2 are presented the block diagram expression of a .rbKvd?-}
whole model hB*3Py27L
of human DM system "[]J[!}x
24. In Section 2 we shall list a collection of basic assumptions which |.U-
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a ... scheme must satisfy. P~*v}A
25. In Section 2 of this paper, we present representation and qS2]|7q?Tc
uniqueness theorems for the fundamental measurement of fuzziness qT_E=)1
when the domain of discourse is order-dense. t!vlZNc
26. In Section 3, we describe the preliminary results of an empirical 8"S?
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study ol8uV{:"
currently in progress to verify the measurement model and to 15~+Ga4
construct membership functions. o!t1EPJE*
27. In Section 5 is analyzed the inference process through the two 38q0iAH
kinds of inference experiments... fYv{M;
This Section qxW2q8QHo
1. In this section, the characteristics and environment under which 6MRS0{
MRP is designed are described. GB_m&t
2. We will provide in this section basic terminologies and notations q&wXs