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Beginning Z7RGOZQ}G
1. In this paper, we focus on the need for ,JIjAm*2
2. This paper proceeds as follow. ,73kh
3. The structure of the paper is as follows. '9^+J7iO(+
4. In this paper, we shall first briefly introduce fuzzy sets and related vmdu9"H
concepts 'qcLK>E
5. To begin with we will provide a brief background on the taOD,}c|$
Introduction y<mmv~=
1. This will be followed by a description of the fuzzy nature of the e!
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problem and a detailed presentation of how the required i5wXT
membership functions are defined. 19-|.9m(
2. Details on xx and xx are discussed in later sections. MmH[ 7R
3. In the next section, after a statement of the basic problem, various JJ@O5
situations involving possibility knowledge are investigated: first, an eh_{-
entirely possibility model is proposed; then the cases of a fuzzy X,VOKj.%
service time with stochastic arrivals and non-fuzzy service rule is @+II@[_lT
studied; lastly, fuzzy service rule are considered. &}}c>]m
Review R2{ y1b$l
1. This review is followed by an introduction. 0'u2xe
2. A brief summary of some of the relevant concepts in xxx and xxx is ph\KTLU
presented in Section 2. o,l 3j|1
3. In the next section, a brief review of the .... is given. *Y!'3|T
4. In the next section, a short review of ... is given with special regard j2O?]M
to ... }
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5. Section 2 reviews relevant research related to xx. m(Ghe2T:
6. Section 1.1 briefly surveys the motivation for a methodology of ,i KEIxA!
action, while 1.2 looks at the difficulties posed by the complexity of W*A-CkrO
systems and outlines the need for development of possibility H^y%Bi&^
methods. iW.4'9
Body JU^{!u
1. Section 1 defines the notion of robustness, and argues for its I|jGu9G
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importance. CZ2&9Vb9I
2. Section 1 devoted to the basic aspects of the FLC decision-making .xJW=G{/
logic. x3ds{Z$,>(
3. Section 2 gives the background of the problem which includes xxx bvHF;Qywg
4. Section 2 discusses some problems with and approaches to, <>3}<i<[&
natural language understanding. 4wp5ghe
5. Section 2 explains how flexibility which often ... can be expressed TI
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in terms of fuzzy time-window }yM /z
6. Section 3 discusses the aspects of fuzzy set theory that are used in OcR6\t'
the ... 6ww4ZH?j
7. Section 3 describes the system itself in a general way, including .hI3Uv8[
the ….. and also discusses how to evaluate system performance. {&tbp
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8. Section 3 describes a new measure of xx. ;3ZHm*xJx
9. Section 3 demonstrates the use of fuzzy possibility theory in the }bj
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analysis of xx. E]zTd$v6
10. Section 3 is a fine description of fuzzy formulation of human {Rc!S? 8
decision. *>otz5]
11. Section 3 is developed to the modeling and processing of fuzzy q ld2<W
decision rules K9JW&5Q
12. The main idea of the FLC is described in Section 3 while Section 4 =4RXNWkud
describes the xx strategies. (r8R
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13. Section 3 and 4 show experimental studies for verifying the 6{2LV&T=u
proposed model. 0bY}<x(;
14. Section 4 discusses a previous fuzzy set-based approach to cost :?1
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variance investigation. /I[?TsXp
15. Section 4 gives a specific example of xxx. |7@[+
16. Section 4 is the experimental study to make a fuzzy model of Jt4&%b-T
memory process. |\g =ua+h
17. Section 4 contains a discussion of the implication of the results of G8}w|'0m
Section 2 and 3. d*7nz=0&$
18. Section 4 applies this fuzzy measure to the analysis of xx and z[kz[
illustrate its use on experimental data. ]y*AA58;
19. Section 5 presents the primary results of the paper: a fuzzy set sGx"ja+
model .. 6n
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20. Section 5 contains some conclusions plus some ideas for further YE<_a;yh1
work. FBit/0
21. Section 6 illustrates the model with an example. .h)o\6Wq
22. Various ways of justification and the reasons for their choice are CXqU<a&
discussed very briefly in Section 2. y%.^|
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23. In Section 2 are presented the block diagram expression of a (n'Mf
whole model e1'<;;; L
of human DM system }Dk*Hs^E
24. In Section 2 we shall list a collection of basic assumptions which O`2;n.>\
a ... scheme must satisfy. vby[#S|
25. In Section 2 of this paper, we present representation and QdaYP
uniqueness theorems for the fundamental measurement of fuzziness u<`CkYT
when the domain of discourse is order-dense. wOH$S=Ba5,
26. In Section 3, we describe the preliminary results of an empirical c8qsp n
study w4YuijhW
currently in progress to verify the measurement model and to vu^ '+ky
construct membership functions. eR,ePyA;
27. In Section 5 is analyzed the inference process through the two 0Da9,&D
kinds of inference experiments... %5|awWo_?
This Section $[5S M>e]
1. In this section, the characteristics and environment under which =aM(r6 C
MRP is designed are described. (=n {LMa
2. We will provide in this section basic terminologies and notations o+e:HjZZ
which are necessary for the understanding of subsequent results. msKWb311u
Next Section @B
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2. The next section describes the mathematics that goes into the sTx23RJ9
computer implementation of such fuzzy logic statements. #*QnO\.
3. However, it is cumbersome for this purpose and in practical 9ohaU
applications the formulae were rearranged and simplified as 9r,)Bw!RP
discussed in the next section. ~(W q 5<v
4. The three components will be described in the next two section, :\I88
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and an example of xx analysis of a computer information system will S>
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