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Beginning jaq`A'o5
1. In this paper, we focus on the need for Z}*{4V`R
2. This paper proceeds as follow. d:V6.7>,
3. The structure of the paper is as follows. :-Al}7
4. In this paper, we shall first briefly introduce fuzzy sets and related 16N+
concepts /K2=GLl
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5. To begin with we will provide a brief background on the E6FT*}Q
Introduction KL}o%wfLy
1. This will be followed by a description of the fuzzy nature of the ]sf1+3
problem and a detailed presentation of how the required %Qc5_of
membership functions are defined. Qso"jYl<
2. Details on xx and xx are discussed in later sections. &/7D4!N]
3. In the next section, after a statement of the basic problem, various (,5
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situations involving possibility knowledge are investigated: first, an e<;^P(g`E
entirely possibility model is proposed; then the cases of a fuzzy '8|y
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service time with stochastic arrivals and non-fuzzy service rule is l5R0^!t
studied; lastly, fuzzy service rule are considered. #kt3l59Ty
Review J0eJRs
1. This review is followed by an introduction. >P/Nb]C
2. A brief summary of some of the relevant concepts in xxx and xxx is 7kZ-`V|\.
presented in Section 2. V?*\ISB`}
3. In the next section, a brief review of the .... is given. *Ou )P9~-L
4. In the next section, a short review of ... is given with special regard U(jZf{`Mz
to ... Gc'
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5. Section 2 reviews relevant research related to xx. B?G!~lQ)o
6. Section 1.1 briefly surveys the motivation for a methodology of m
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action, while 1.2 looks at the difficulties posed by the complexity of 6_s_2cr
systems and outlines the need for development of possibility
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methods. wLDWD,"K
Body 4KkjBPV
1. Section 1 defines the notion of robustness, and argues for its S-8wL%r
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importance.
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2. Section 1 devoted to the basic aspects of the FLC decision-making EP|OKXRltA
logic. "XU
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3. Section 2 gives the background of the problem which includes xxx >brf7h
4. Section 2 discusses some problems with and approaches to, eo
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natural language understanding. GomTec9.
5. Section 2 explains how flexibility which often ... can be expressed ?ep'R&NV
in terms of fuzzy time-window ;m;a"j5
6. Section 3 discusses the aspects of fuzzy set theory that are used in |9;6Cp
the ... !&3iZQGWv
7. Section 3 describes the system itself in a general way, including epWO}@
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the ….. and also discusses how to evaluate system performance. RO([R=.`/
8. Section 3 describes a new measure of xx. FuiEy=+
9. Section 3 demonstrates the use of fuzzy possibility theory in the scffWqEo
analysis of xx. <H Le,
10. Section 3 is a fine description of fuzzy formulation of human Zewx*Y|
decision. x}`]9XQ
11. Section 3 is developed to the modeling and processing of fuzzy [BH^SvE
decision rules 6evW
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12. The main idea of the FLC is described in Section 3 while Section 4 UogkQ& B
describes the xx strategies. ]y4(WG;:
13. Section 3 and 4 show experimental studies for verifying the rc*iL
proposed model. aXoD{zA
14. Section 4 discusses a previous fuzzy set-based approach to cost hrT_0FZV
variance investigation. )wmG&"qsP
15. Section 4 gives a specific example of xxx. 8>E_bxC
16. Section 4 is the experimental study to make a fuzzy model of woH B![Q,
memory process. t8"*jt
17. Section 4 contains a discussion of the implication of the results of dFd^@b
Section 2 and 3. 2 kOFyD
18. Section 4 applies this fuzzy measure to the analysis of xx and o]&w"3vOP0
illustrate its use on experimental data. d 6$,iw@>^
19. Section 5 presents the primary results of the paper: a fuzzy set 3f u*{8.XZ
model .. QFP3S(
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20. Section 5 contains some conclusions plus some ideas for further lZY0A#
work. J3]!<v=
21. Section 6 illustrates the model with an example. s`j QX\{
22. Various ways of justification and the reasons for their choice are ho1Mo
discussed very briefly in Section 2. DcNQ2Zz?%
23. In Section 2 are presented the block diagram expression of a X5@SLkJ-`
whole model 61Z#;2]
of human DM system Xq3n7d.
24. In Section 2 we shall list a collection of basic assumptions which S$CO T)7
a ... scheme must satisfy. E+Jh4$x{
25. In Section 2 of this paper, we present representation and ]s*Fs]1+H
uniqueness theorems for the fundamental measurement of fuzziness
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when the domain of discourse is order-dense. `EV"
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26. In Section 3, we describe the preliminary results of an empirical C~do*rnM^
study xvZNshkpAX
currently in progress to verify the measurement model and to +Zaew679
construct membership functions. QHt;c
27. In Section 5 is analyzed the inference process through the two 5yvaY
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kinds of inference experiments... 2?",2x09
This Section |4UU`J9M
1. In this section, the characteristics and environment under which "[` .I*WNo
MRP is designed are described. 8+m[ %5lu
2. We will provide in this section basic terminologies and notations ep"YGx[V
which are necessary for the understanding of subsequent results. lpW|GFG
Next Section 87/!u]q
2. The next section describes the mathematics that goes into the
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computer implementation of such fuzzy logic statements. NDG3mCl
3. However, it is cumbersome for this purpose and in practical s\c*ibxM,
applications the formulae were rearranged and simplified as o8!gV/oy
discussed in the next section. *. H1m{V
4. The three components will be described in the next two section, ~[@Gj{6p0
and an example of xx analysis of a computer information system will !i0jk,[B=
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then illustrate their use. 8\Y/?$on
5. We can interpret the results of Experiments I and II as in the IAr
following sections. T [w]w
6. The next section summarizes the method in a from that is useful %-~W|Y
for arguments based on xx Evz;eobW/
Summary )I80Nq
1. This paper concludes with a discussion of future research 5XO eYO{
consideration in section 5. MC.,n$O}6
2. Section 5 summarizes the results of this investigation. UcCkn7}
3. Section 5 gives the conclusions and future directions of research. M Cam c
4. Section 7 provides a summary and a discussion of some extensions Q AJX7
of the paper. O*3x'I*a
5. Finally, conclusions and future work are summarized [\o+I:,}wi
6. The basic questions posed above are then discussed and P) fv:a
conclusions are drawn. 9`J!]WQ1[
7. Section 7 is the conclusion of the paper. -e=p*7']
Chapter 0. Abstract =d/\8\4
1. A basic problem in the design of xx is presented by the choice of a Z, Kbt
xx rate for the measurement of experimental variables. RUTlwTdv
2. This paper examines a new measure of xx in xx based on fuzzy S7-ka{S
mathematics which overcomes the difficulties found in other xx _(J 7^rN
measures. }?,Gn]]
3. This paper describes a system for the analysis of the xx. !F0MLvdX7^
4. The method involves the construction of xx from fuzzy relations. p*10u@,
5. The procedure is useful in analyzing how groups reach a decision. ||y5XXs
6. The technique used is to employ a newly developed and versatile &z;;Bx0s
xx algorithm. z\Y+5<