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Beginning W!k6qTz)
1. In this paper, we focus on the need for [1C#[Vla
2. This paper proceeds as follow. 3(:mRb}
3. The structure of the paper is as follows. WFd2_oAT
4. In this paper, we shall first briefly introduce fuzzy sets and related rd))H
concepts CnH
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5. To begin with we will provide a brief background on the DVJc-.x8
Introduction A 5 X+Z
1. This will be followed by a description of the fuzzy nature of the
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problem and a detailed presentation of how the required k)p y\
membership functions are defined. }dUC^04
2. Details on xx and xx are discussed in later sections. ".%LBs~$
3. In the next section, after a statement of the basic problem, various p|d9g
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situations involving possibility knowledge are investigated: first, an `5Btg.
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entirely possibility model is proposed; then the cases of a fuzzy _6!/}Fm
service time with stochastic arrivals and non-fuzzy service rule is h'~-K`
studied; lastly, fuzzy service rule are considered. s8[9YfuW
Review ^-u HdafP
1. This review is followed by an introduction. \&5@ yh
2. A brief summary of some of the relevant concepts in xxx and xxx is $>=Nb~t!/
presented in Section 2. ib\[ ~rg
3. In the next section, a brief review of the .... is given. rx>Tc#g
4. In the next section, a short review of ... is given with special regard }+
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to ... {@5WeWlz~
5. Section 2 reviews relevant research related to xx. ^-GX&ODa
6. Section 1.1 briefly surveys the motivation for a methodology of /]zib@i
action, while 1.2 looks at the difficulties posed by the complexity of -]\E}Ti
systems and outlines the need for development of possibility S}^s5ztm
methods. u)`|q_y+8
Body B"m:<@ "
1. Section 1 defines the notion of robustness, and argues for its 5
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importance. ,{?bM
2. Section 1 devoted to the basic aspects of the FLC decision-making -ouJf}#R
logic. {O kik}Oh
3. Section 2 gives the background of the problem which includes xxx Mc7 <[a
4. Section 2 discusses some problems with and approaches to, x;FO|fH
natural language understanding. 2${,%8"0s
5. Section 2 explains how flexibility which often ... can be expressed RO$@>vL
in terms of fuzzy time-window V87ee,
6. Section 3 discusses the aspects of fuzzy set theory that are used in t+!gzZ
the ... O\?5#.
7. Section 3 describes the system itself in a general way, including #4_O;]{'
the ….. and also discusses how to evaluate system performance. k]$E8[.t
8. Section 3 describes a new measure of xx. $sc8)d\B
9. Section 3 demonstrates the use of fuzzy possibility theory in the :
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analysis of xx. :*P___S=
10. Section 3 is a fine description of fuzzy formulation of human ;/";d]j
decision. E8iadf49
11. Section 3 is developed to the modeling and processing of fuzzy !v5sWVVR
decision rules <[3lV)~t
12. The main idea of the FLC is described in Section 3 while Section 4 U)`3[fo
describes the xx strategies. `z$uw
13. Section 3 and 4 show experimental studies for verifying the D)*_{
proposed model. k\Z;Cmh>
14. Section 4 discusses a previous fuzzy set-based approach to cost Y1yXB).AH8
variance investigation. g`)/ x\
15. Section 4 gives a specific example of xxx. dS3>q<J*a
16. Section 4 is the experimental study to make a fuzzy model of xyS2_Q
memory process. )~?S0]j}
17. Section 4 contains a discussion of the implication of the results of 0i`v:Lq%
Section 2 and 3. 2pxWv
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18. Section 4 applies this fuzzy measure to the analysis of xx and $LxG>db
illustrate its use on experimental data. h=v[i!U-eY
19. Section 5 presents the primary results of the paper: a fuzzy set ^^4K/XBve
model .. Jm]]>K8.3V
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20. Section 5 contains some conclusions plus some ideas for further q#Yg0w~
work. GG@I!2,_
21. Section 6 illustrates the model with an example. w|
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22. Various ways of justification and the reasons for their choice are 5A2Y'ms,/
discussed very briefly in Section 2. @wYQLZ
23. In Section 2 are presented the block diagram expression of a fw1;i
whole model nxn[ ~~
of human DM system
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24. In Section 2 we shall list a collection of basic assumptions which DqurHQ z)m
a ... scheme must satisfy. ;I!+lx3[
25. In Section 2 of this paper, we present representation and OQytgXED
uniqueness theorems for the fundamental measurement of fuzziness IL+#ynC
when the domain of discourse is order-dense. 7~!I2DV_
26. In Section 3, we describe the preliminary results of an empirical " ;-{~
study ~4MtDf
currently in progress to verify the measurement model and to lgCHGv2@
construct membership functions. Hl^aUp.c
27. In Section 5 is analyzed the inference process through the two dJdD"xj
kinds of inference experiments... .
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This Section <_BqpZ^`
1. In this section, the characteristics and environment under which RJtixuvh@
MRP is designed are described. CbTf"pl
2. We will provide in this section basic terminologies and notations ;x!,g5q"q
which are necessary for the understanding of subsequent results. &K9VEMCEX
Next Section pX>ua5Z
2. The next section describes the mathematics that goes into the jGk7=}nw
computer implementation of such fuzzy logic statements. VRtbHam
3. However, it is cumbersome for this purpose and in practical k1^V?O
applications the formulae were rearranged and simplified as c^ixdk
discussed in the next section. >QYh}Z-/%
4. The three components will be described in the next two section, kbfuvJ>
and an example of xx analysis of a computer information system will bh= \
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then illustrate their use. t!
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5. We can interpret the results of Experiments I and II as in the :@:g*w2K
following sections. pu\b`3C(
6. The next section summarizes the method in a from that is useful UlK/x"JDv
for arguments based on xx S9OxI$6Y
Summary .LX?VD
1. This paper concludes with a discussion of future research Sp<hai
consideration in section 5. M.o?CX'
2. Section 5 summarizes the results of this investigation. =^BqWC2~
3. Section 5 gives the conclusions and future directions of research. cj$,ob&DX
4. Section 7 provides a summary and a discussion of some extensions !Bag}|#
of the paper. <2n'}&F
5. Finally, conclusions and future work are summarized H"2 U)HJl
6. The basic questions posed above are then discussed and ~&lQNl3`m6
conclusions are drawn. 2;&mkcK'
7. Section 7 is the conclusion of the paper. t@X M /=d
Chapter 0. Abstract ;
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1. A basic problem in the design of xx is presented by the choice of a 8r2XGR
xx rate for the measurement of experimental variables. {\P?/U6~f
2. This paper examines a new measure of xx in xx based on fuzzy Xfj)gPt}
mathematics which overcomes the difficulties found in other xx x2Ha&
measures. 1UC2zM"
3. This paper describes a system for the analysis of the xx. Y3D3.T6Q
4. The method involves the construction of xx from fuzzy relations. fW(;
5. The procedure is useful in analyzing how groups reach a decision. [0K=I64
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6. The technique used is to employ a newly developed and versatile QxKAXq@)i
xx algorithm. TLy;4R2Nn
7. The usefulness of xx is also considered. x]H3Y3
8. A brief methodology used in xx is discussed. wyp{KIV
9. The analysis is useful in xx and xx problem. Mk<m6E$L
10. A model is developed for a xx analysis using fuzzy matrices. {>S4#^@}
11. Algorithms to combine these estimates and produce a xx are JAN|aCzD
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presented and justified. m^z,,t9
12. The use of the method is discussed and an example is given. Lg8]dBXu
13. Results of an experimental applications of this xx analysis 6e
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procedure are given to illustrate the proposed technique.
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14. This paper analyses problems in q{/*n
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15. This paper outlines the functions carried out by ... ^Wf
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16. This paper includes an illustration of the ... }&mj.hGv
17. This paper provides an overview and information useful for 9wzwY[{
approaching <8$Md4r
18. Emphasis is placed on the construction of a criterion function by [
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which the xx in achieving a hierarchical system of objectives are $kv@tzO
evaluated. 8*vFdoE_oO
19. The main emphasis is placed on the problem of xx |l$
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20. Our proposed model is verified through experimental study. QJQJR/g
21. The experimental results reveal interesting examples of fuzzy jBS'g{y-!
phases of: xx, xx (p^S~Ax
22. The compatibility of a project in terms of cost, and xx are likewise u9BjgK(M
represented by linguistic variables. s~=g*99H
23. A didactic example is included to illustrate the computational J, r Xx:
procedure 8'+7i8e
Chapter 1. Introduction _OLI%o
Time w\p9J0
1. Over the course of the past 30 years, .. has emerged form intuitive [Q|M/|mnR1
2. Technological revolutions have recently hit the industrial world vABXXB
3. The advent of ... systems for has had a significant impact on the mLQUcYfR
4. The development of ... is explored gXF.on4B
5. During the past decade, the theory of fuzzy sets has developed in a .ByU
variety of directions $Vsy%gA<
6.The concept of xx was investigated quite intensively in recent years IEc>.J|T&
7. There has been a turning point in ... methodology in accordance *N`;I@Q"[
with the advent of ... Q4=|@|U0
8. A major concern in ... today is to continue to improve... qZ&