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Beginning W=2#Q2)
1. In this paper, we focus on the need for |?ma?
2. This paper proceeds as follow. /}=cv>S5V
3. The structure of the paper is as follows. *[tLwl.
4. In this paper, we shall first briefly introduce fuzzy sets and related 1_z~<d
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concepts %
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5. To begin with we will provide a brief background on the z}2
Introduction Env_??xq
1. This will be followed by a description of the fuzzy nature of the tFX!s;N[
problem and a detailed presentation of how the required
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membership functions are defined. _tfi6UQ&lY
2. Details on xx and xx are discussed in later sections. R^Y_i
3. In the next section, after a statement of the basic problem, various $%"~.L4
situations involving possibility knowledge are investigated: first, an k
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entirely possibility model is proposed; then the cases of a fuzzy
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service time with stochastic arrivals and non-fuzzy service rule is =7-@&S=?s
studied; lastly, fuzzy service rule are considered. ?xtP\~
Review W4:#=.m
1. This review is followed by an introduction. =xM:8
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2. A brief summary of some of the relevant concepts in xxx and xxx is :xsNn55b
presented in Section 2. nrCr9#
3. In the next section, a brief review of the .... is given. W.TdhJW9
4. In the next section, a short review of ... is given with special regard Cm#[$T@C
to ... >e QFY^d5
5. Section 2 reviews relevant research related to xx. YFs!
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6. Section 1.1 briefly surveys the motivation for a methodology of '))=y@M
action, while 1.2 looks at the difficulties posed by the complexity of p$
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systems and outlines the need for development of possibility 7SjWofv
methods. d 8M8O3
Body
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1. Section 1 defines the notion of robustness, and argues for its | gP%8nh'C
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importance. #\gx.2W7
2. Section 1 devoted to the basic aspects of the FLC decision-making GA2kg7
logic. |/O_AnG
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3. Section 2 gives the background of the problem which includes xxx 9M1 UkS$`@
4. Section 2 discusses some problems with and approaches to, vABUUAo!Jr
natural language understanding. Oq*=oz^~1
5. Section 2 explains how flexibility which often ... can be expressed D@o8Gerq~
in terms of fuzzy time-window ')
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6. Section 3 discusses the aspects of fuzzy set theory that are used in poVtg}n
the ... 7aJ:kumDZ
7. Section 3 describes the system itself in a general way, including OjfumZL#
the ….. and also discusses how to evaluate system performance. 4pZ=CB
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8. Section 3 describes a new measure of xx. ,w0Io
9. Section 3 demonstrates the use of fuzzy possibility theory in the 70yM]C^
analysis of xx. zOA2chy4
10. Section 3 is a fine description of fuzzy formulation of human _4~q&?}V
decision. \Ea(f**2B
11. Section 3 is developed to the modeling and processing of fuzzy pEX|zee
decision rules J|:Zs1.<d
12. The main idea of the FLC is described in Section 3 while Section 4 HR$;QHl~F
describes the xx strategies. *e
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13. Section 3 and 4 show experimental studies for verifying the P%Tffsl
proposed model. 8 ;o*c6+
14. Section 4 discusses a previous fuzzy set-based approach to cost s[#ww
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variance investigation. RzN9pAe
15. Section 4 gives a specific example of xxx. fm&pxQjg
16. Section 4 is the experimental study to make a fuzzy model of Z$:iq
memory process. zE1=*zO`
17. Section 4 contains a discussion of the implication of the results of zb& 3{,
Section 2 and 3. -9~WtTaV.H
18. Section 4 applies this fuzzy measure to the analysis of xx and 22r$Ri_>
illustrate its use on experimental data. J0,;F9<C#X
19. Section 5 presents the primary results of the paper: a fuzzy set ZOY zCc(d
model .. )T!3du:M
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20. Section 5 contains some conclusions plus some ideas for further OGAC[s~V
work. ?<6yKxn
21. Section 6 illustrates the model with an example. D%!GY1wdn
22. Various ways of justification and the reasons for their choice are c!dc`
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discussed very briefly in Section 2. OO*2>Qy~z
23. In Section 2 are presented the block diagram expression of a >S'IrnH'!
whole model sX,S]:X
of human DM system MyaJhA6c
24. In Section 2 we shall list a collection of basic assumptions which OS sYmF
a ... scheme must satisfy. xvTz|Y
25. In Section 2 of this paper, we present representation and }B@44HdY
uniqueness theorems for the fundamental measurement of fuzziness olca
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when the domain of discourse is order-dense. @23~)uiZa
26. In Section 3, we describe the preliminary results of an empirical f_'8l2jK1i
study ki'
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currently in progress to verify the measurement model and to |ZtNCB5{^j
construct membership functions. MZ"|Jn
27. In Section 5 is analyzed the inference process through the two )%vnl~i!
kinds of inference experiments... ][`% vj9r
This Section {.o@XP,.
1. In this section, the characteristics and environment under which z4{:X Da
MRP is designed are described. ug^esB
2. We will provide in this section basic terminologies and notations d;.H9Ne
which are necessary for the understanding of subsequent results. *cAI gO7
Next Section DIF-%X5
2. The next section describes the mathematics that goes into the C1o^$Q|j
computer implementation of such fuzzy logic statements. h&2l0|8k
3. However, it is cumbersome for this purpose and in practical _)[UartKx
applications the formulae were rearranged and simplified as #jM-XK
discussed in the next section. {Bz E
4. The three components will be described in the next two section, XeX`h_
and an example of xx analysis of a computer information system will Dvm[W),(k
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then illustrate their use. `G`yA%
5. We can interpret the results of Experiments I and II as in the vwAtX($
following sections. w|c200Is}e
6. The next section summarizes the method in a from that is useful {r'+icvLX
for arguments based on xx LB`{35b-
Summary (dTQ,0
1. This paper concludes with a discussion of future research p0hE`!
consideration in section 5. Raf(m,o(
2. Section 5 summarizes the results of this investigation. xZA.<Yd^r
3. Section 5 gives the conclusions and future directions of research. 1>Q4&1Vn
4. Section 7 provides a summary and a discussion of some extensions ty'/i!/\
of the paper. )
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5. Finally, conclusions and future work are summarized r1:CHIwK
6. The basic questions posed above are then discussed and ~G 3txd
conclusions are drawn. d/!\iLF
7. Section 7 is the conclusion of the paper. -e"A)Bpl(
Chapter 0. Abstract 1)5$,+~lL
1. A basic problem in the design of xx is presented by the choice of a qA"BoSw 4
xx rate for the measurement of experimental variables. RL3*fRlb
2. This paper examines a new measure of xx in xx based on fuzzy y%?'<j
mathematics which overcomes the difficulties found in other xx UE/JV_/S;
measures. :w+vi7l$
3. This paper describes a system for the analysis of the xx. i%[+C
4. The method involves the construction of xx from fuzzy relations. F?[1m2
5. The procedure is useful in analyzing how groups reach a decision. CK1A$$gnz
6. The technique used is to employ a newly developed and versatile )/)[}wN;j
xx algorithm. 7hTp
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7. The usefulness of xx is also considered. 4}s'xMT!
8. A brief methodology used in xx is discussed. S`$%C=a.
9. The analysis is useful in xx and xx problem. 2vh }:A_
10. A model is developed for a xx analysis using fuzzy matrices. 4EmdQn
11. Algorithms to combine these estimates and produce a xx are '~
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presented and justified. D, Gv nfY
12. The use of the method is discussed and an example is given. ~(8f Uob
13. Results of an experimental applications of this xx analysis Yxbg _RQm
procedure are given to illustrate the proposed technique. yjsj+K
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14. This paper analyses problems in ;!G#Y
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15. This paper outlines the functions carried out by ... K_~kL0=4
16. This paper includes an illustration of the ... _",<at
17. This paper provides an overview and information useful for 4\5i}MIS0
approaching :P/VBX h
18. Emphasis is placed on the construction of a criterion function by ;i\N!T{>
which the xx in achieving a hierarchical system of objectives are Wy}^5]R0E
evaluated. ')0@J`
19. The main emphasis is placed on the problem of xx ^lt2,x
20. Our proposed model is verified through experimental study. x"g)pGsT
21. The experimental results reveal interesting examples of fuzzy ox%j_P9@:
phases of: xx, xx >}\s-/
22. The compatibility of a project in terms of cost, and xx are likewise ;N?(R\*8
represented by linguistic variables. <D3mt Q
23. A didactic example is included to illustrate the computational 3]GMQA{L)
procedure VnVBA-#r|
Chapter 1. Introduction =Y81h-
Time :\JCxS=EW
1. Over the course of the past 30 years, .. has emerged form intuitive ZnRT$
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2. Technological revolutions have recently hit the industrial world sYBmL]Hr
3. The advent of ... systems for has had a significant impact on the >h)kbsSU0z
4. The development of ... is explored eA86~M?<o
5. During the past decade, the theory of fuzzy sets has developed in a 51b%uz
variety of directions *U,JQ
6.The concept of xx was investigated quite intensively in recent years xYCJO(&
7. There has been a turning point in ... methodology in accordance 38D5vT)n
with the advent of ... n"T ^
8. A major concern in ... today is to continue to improve... mjWU0.
9. A xx is a latecomer in the part representation arena. P*BRebL:
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10. At the time of this writing, there is still no standard way of xx hdCd:6
11. Although a lot of effort is being spent on improving these !IdVg $7
weaknesses, the efficient and effective method has yet to be ofV0L
developed. babL.Ua8o
12. The pioneer work can be traced to xx [1965]. %]&$VVVh
13. To date, none of the methods developed is perfect and all are far EN\cwa#FU
from ready to be used in commercial systems. TLVsTM8P
Objective / Goal / Purpose
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1. The purpose of the inference engine can be outlined as follows: 2I [zV7 @t
2. The ultimate goal of the xx system is to allow the non-experts to HTT&T9]
utilize the existing knowledge in the area of manual handling of loads, &Y?t
and to provide intelligent, computer-aided instruction for xxx. #4O4,F>e
3. The paper concerns the development of a xx b(GV4%
4. The scope of this research lies in H5x7)1
Ir|
5. The main theme of the paper is the application of rule-based T,/rC{
decision making. cl4z%qv*
6. These objectives are to be met with such thoroughness and kZz'&xdv'.
confidence as to permit ... h'-4nu;*
7. The objectives of the ... operations study are as follows: /S]RP>cQ
8. The primary purpose/consideration/objective of XqmB%g(
9. The ultimate goal of this concept is to provide ~^' ,4<K-}
10. The main objective of such a ... system is to YUEyGhkMV{
11. The aim of this paper is to provide methods to construct such x^[,0?y2
probability distribution. ZQE1]ht
12. In order to achieve these objectives, an xx must meet the w-pgtO|Us
following requirements: xKSQz
13. In order to take advantage of their similarity f"FFgQMkv
14. more research is still required before final goal of ... can be TM(y%!\
completed />S^`KSTM
15. In this trial, the objective is to generate... oN,1i
g
16. for the sake of concentrating on ... research issues OKMdyyO<l
17. A major goal of this report is to extend the utilization of a recently k\ #;
developed procedure for the xx. 9i5?J ]o^
d. vNiq,`
18. For an illustrative purpose, four well-known OR problems are 5)%ahmY
studied in presence of fuzzy data: xx. 1<BKTMBq?{
19. A major thrust of the paper is to discuss approaches and UN.;w3`Oc
strategies for structuring ..methods DU%E883
20. This illustration points out the need to specify Z0L($
21. The ultimate goal is both descriptive and prescriptive. w{W+W
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22. Chapter 2. Literature Review jhm3:;Z
23. A wealth of information is to be found in the statistics literature, 'Bue*
for example, regarding xx %b^4XTz
24. A considerable amount of research has been done .. during the g{]6*`/Z
last decade ?wB_fDb}
25. A great number of studies report on the treatment of fY00
uncertainties associated with xx. o`S``?`^)^
26. There is considerable amount of literature on planning { ^dq7!
27. However, these studies do not provide much attention to S oeoUI]m
uncertainty in xx. e v$:7}h=
28. Since then, the subject has been extensively explored and it is -iR2UE@M
still under investigation as well in methodological aspects as in ' 4FH9J
concrete applications. %P0
29. Many research studies have been carried out on this topic. \V$qAfP)
30. Problem of xx draws recently more and more attention of system +|LM"
analysis. GmB&TDm
31. Attempts to resolve this dilemma have resulted in the O{l4 f:51
development of Ok_}d&A
32. Many complex processes unfortunately, do not yield to this <r#FI8P;X
design procedure and have, therefore, not yet been automated. VgNB^w
33. Most of the methods developed so far are deterministic and /or \78E>(`'
probabilistic in nature. FLW VI4*
34. The central issue in all these studies is to j,j|'7J%
35. The problem of xx has been studied by other investigators, CV
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however, these studies have been based upon classical statistical
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approaches. L?h?LZnq
36. Applied ... techniques to
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37. Characterized the ... system as >%tG[jb
#yH+ENp0
38. Developed an algorithm to KZ%i&w#<
39. Developed a system called ... which hW#^H5?
40. Uses an iterative algorithm to deduce to?! qxn
41. Emphasized the need to $9`#p/V
42. Identifies six key issues surrounding high technology zr|DC]
3
43. A comprehensive study of the... has been undertaken w-n}&f
44. Much work has been reported recently in these filed uN)c!='I
45. Proposed/Presented/State that/Described/Illustrated/ /
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Indicated/Has shown / showed/Address/Highlights Rf!v{\
46. Point out that the problem of ?0; 2ct
47. A study on ...was done / developed by [] (I~
48. Previous work, such as [] and [], deal only with <