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Beginning `0XbV A
1. In this paper, we focus on the need for 8lGgp&ey
2. This paper proceeds as follow.
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3. The structure of the paper is as follows. O8N0 ]Mz
4. In this paper, we shall first briefly introduce fuzzy sets and related PZg]zz=V4
concepts >upUY(3&
5. To begin with we will provide a brief background on the ~(L +4]
Introduction 2|>wY%
1. This will be followed by a description of the fuzzy nature of the {#M{~
problem and a detailed presentation of how the required {ZEXlNPww
membership functions are defined. e.ym7L]$O
2. Details on xx and xx are discussed in later sections. ',s7h"
3. In the next section, after a statement of the basic problem, various |Pl{Oo+
situations involving possibility knowledge are investigated: first, an OSi9J.
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entirely possibility model is proposed; then the cases of a fuzzy !;C(pnE
service time with stochastic arrivals and non-fuzzy service rule is gL"Q.ybA
studied; lastly, fuzzy service rule are considered. JP@m%Yj
Review |/\1nWD
1. This review is followed by an introduction. ~EkGG
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2. A brief summary of some of the relevant concepts in xxx and xxx is [\n.[4gq"
presented in Section 2. %_O>Hy|p
3. In the next section, a brief review of the .... is given. HwMsP$`q
4. In the next section, a short review of ... is given with special regard }eFUw
to ... -mo
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5. Section 2 reviews relevant research related to xx. A?KKZ{
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6. Section 1.1 briefly surveys the motivation for a methodology of ms<u YLp
action, while 1.2 looks at the difficulties posed by the complexity of Xtnmh)'K~#
systems and outlines the need for development of possibility b=\3N3OX
methods. <[l}^`IC^4
Body r9*H-V$
1. Section 1 defines the notion of robustness, and argues for its 2_v+q
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importance. Qh%vh;|^
2. Section 1 devoted to the basic aspects of the FLC decision-making
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logic. [;8fL
3. Section 2 gives the background of the problem which includes xxx [N+ruc?)
4. Section 2 discusses some problems with and approaches to, o;I86dI6C
natural language understanding. xmd$Jol^
5. Section 2 explains how flexibility which often ... can be expressed ?|yJ#j1=
in terms of fuzzy time-window HOb\Hn|6jq
6. Section 3 discusses the aspects of fuzzy set theory that are used in 3PeJPw
the ... 0Hf-~6
7. Section 3 describes the system itself in a general way, including iPNsEQ0We
the ….. and also discusses how to evaluate system performance. \9Zfu4WR
8. Section 3 describes a new measure of xx. o%Q2.
9. Section 3 demonstrates the use of fuzzy possibility theory in the {'aqOlw3<j
analysis of xx. ?KW?]
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10. Section 3 is a fine description of fuzzy formulation of human D"5~-9<
decision. iAhRlQ{Qu
11. Section 3 is developed to the modeling and processing of fuzzy (I
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decision rules ;%9ZL[-
12. The main idea of the FLC is described in Section 3 while Section 4 sM[c\Z]
describes the xx strategies. 13
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13. Section 3 and 4 show experimental studies for verifying the 24l9/v'
proposed model. |8ZAE%/d
14. Section 4 discusses a previous fuzzy set-based approach to cost v9kzMxs,
variance investigation. +O6@)?pI
15. Section 4 gives a specific example of xxx. 'iK*#b8l
16. Section 4 is the experimental study to make a fuzzy model of \/zS@fz
memory process. N?:S?p9R@
17. Section 4 contains a discussion of the implication of the results of Id1[}B-T
Section 2 and 3.
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18. Section 4 applies this fuzzy measure to the analysis of xx and dq&d>f1
illustrate its use on experimental data. jL>r*=K)%
19. Section 5 presents the primary results of the paper: a fuzzy set G9Ezm*I;:
model .. $E6uA}s
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20. Section 5 contains some conclusions plus some ideas for further UzXbaQQ2g
work. E"!*ASN
21. Section 6 illustrates the model with an example. so?1
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22. Various ways of justification and the reasons for their choice are c:5BQr
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discussed very briefly in Section 2. QB>e(j%
23. In Section 2 are presented the block diagram expression of a /@e\I0P^
whole model 9X~^w_cdk
of human DM system = %m/
24. In Section 2 we shall list a collection of basic assumptions which 4B]a8
a ... scheme must satisfy. m? hX=
25. In Section 2 of this paper, we present representation and !)]3@$#
uniqueness theorems for the fundamental measurement of fuzziness 3 -FNd~%
when the domain of discourse is order-dense. ~x+w@4)a>
26. In Section 3, we describe the preliminary results of an empirical h&{pMmS3,
study b04~z&Xv
currently in progress to verify the measurement model and to .
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construct membership functions. %/y/
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27. In Section 5 is analyzed the inference process through the two EUgs2Fsb3
kinds of inference experiments... Z8W<RiR
This Section ~jaGf
1. In this section, the characteristics and environment under which <LE>WfmC
MRP is designed are described. KqQrxi?f-
2. We will provide in this section basic terminologies and notations lbY>R
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which are necessary for the understanding of subsequent results. 0IK']C
Next Section 01$SvLn:
2. The next section describes the mathematics that goes into the
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computer implementation of such fuzzy logic statements. ]!QeJ'BLM
3. However, it is cumbersome for this purpose and in practical ^]kDYhe*Y
applications the formulae were rearranged and simplified as Onl:eG;@
discussed in the next section. sXUM,h8$!+
4. The three components will be described in the next two section, n| %{R|s
and an example of xx analysis of a computer information system will Nuj%8om6
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then illustrate their use. Qk6FK]buV
5. We can interpret the results of Experiments I and II as in the YG% Zw
following sections. pD{Li\LY
6. The next section summarizes the method in a from that is useful 5ZPl`[He
for arguments based on xx 3,GSBiK3}
Summary /{lls2ycW%
1. This paper concludes with a discussion of future research #f[yp=uI:
consideration in section 5. J&5|'yVX
2. Section 5 summarizes the results of this investigation. %n(
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3. Section 5 gives the conclusions and future directions of research. jN[Z mJz'
4. Section 7 provides a summary and a discussion of some extensions ? in&/ZrB
of the paper. Qtk'^Fc
5. Finally, conclusions and future work are summarized >0> M@s
6. The basic questions posed above are then discussed and DQ,Q yV
conclusions are drawn. dM
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7. Section 7 is the conclusion of the paper. HLS^Ga,(
Chapter 0. Abstract LNj|t)O v
1. A basic problem in the design of xx is presented by the choice of a J%n
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xx rate for the measurement of experimental variables. ALFw[1X
2. This paper examines a new measure of xx in xx based on fuzzy 0^;{b^!(
mathematics which overcomes the difficulties found in other xx f6DPah#
measures. Dhq7qz
3. This paper describes a system for the analysis of the xx. HGPbx$!
4. The method involves the construction of xx from fuzzy relations. R (6Jvub"I
5. The procedure is useful in analyzing how groups reach a decision. L,R9jMx?_
6. The technique used is to employ a newly developed and versatile r!(~Y
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xx algorithm. &v