英语论文写作常用经典句型 PIR#M('
K1>X%f^
UCG8=+t5T
Beginning 4[m})X2(
1. In this paper, we focus on the need for {; #u~e(W
2. This paper proceeds as follow. }{T9`^V:h
3. The structure of the paper is as follows. a\;1%2a
4. In this paper, we shall first briefly introduce fuzzy sets and related Cuu yG8
concepts Q&+Jeji
5. To begin with we will provide a brief background on the QK% N
t
Introduction TRP#b 7nC
1. This will be followed by a description of the fuzzy nature of the QZ?# ixvJ
problem and a detailed presentation of how the required yHhx- `
membership functions are defined. hgIqr^N9
2. Details on xx and xx are discussed in later sections. P 4Vi~zMX
3. In the next section, after a statement of the basic problem, various rQmDpoy =
situations involving possibility knowledge are investigated: first, an KYE)#<V}@
entirely possibility model is proposed; then the cases of a fuzzy 1(%9)).K
service time with stochastic arrivals and non-fuzzy service rule is i7
$4i|
studied; lastly, fuzzy service rule are considered. nhV\<
Review >QyJRMY
1. This review is followed by an introduction. paKur%2u
2. A brief summary of some of the relevant concepts in xxx and xxx is kY>jp@wV
presented in Section 2. e&~vO| 3w%
3. In the next section, a brief review of the .... is given. K[wny0 (
4. In the next section, a short review of ... is given with special regard gu?e%]X3
to ... CD^C}MB
5. Section 2 reviews relevant research related to xx. 6
/-]
6. Section 1.1 briefly surveys the motivation for a methodology of Ov$>CA
action, while 1.2 looks at the difficulties posed by the complexity of Xir
ERc.e
systems and outlines the need for development of possibility s;brs}
methods. f^JiaU4 [
Body zM+4<k_dH]
1. Section 1 defines the notion of robustness, and argues for its wnioIpRkh
rX7GVg@H
importance. Eep~3U
2. Section 1 devoted to the basic aspects of the FLC decision-making [8C|v61Y
logic. F
u>
3. Section 2 gives the background of the problem which includes xxx |>^5G@e
4. Section 2 discusses some problems with and approaches to, :g%hT$,]3b
natural language understanding. dU}Cb?]7s
5. Section 2 explains how flexibility which often ... can be expressed y^!>'cdV
in terms of fuzzy time-window V0)bPcS/
6. Section 3 discusses the aspects of fuzzy set theory that are used in s5bqS'%
the ... *S xDwN
7. Section 3 describes the system itself in a general way, including +3yG8
the ….. and also discusses how to evaluate system performance. N#``(a
8. Section 3 describes a new measure of xx. {EfA#{x
9. Section 3 demonstrates the use of fuzzy possibility theory in the _sb~eB~<(
analysis of xx. 4 s
s 4O
10. Section 3 is a fine description of fuzzy formulation of human zRU9Q2Y
decision. f+cN'jH
E
11. Section 3 is developed to the modeling and processing of fuzzy LR "=(
decision rules {|d28!8w
12. The main idea of the FLC is described in Section 3 while Section 4 9 NGKh3V
describes the xx strategies. M7[GwA[Z
+
13. Section 3 and 4 show experimental studies for verifying the oE.Ckz~*d
proposed model. /[=Yv!
14. Section 4 discusses a previous fuzzy set-based approach to cost uTdx`>M,O
variance investigation. {RGQX"k
15. Section 4 gives a specific example of xxx. f,|g|&C
16. Section 4 is the experimental study to make a fuzzy model of i]#"@xQ
memory process. 3PjX;U|
17. Section 4 contains a discussion of the implication of the results of &^UT
Section 2 and 3. \.aKxj5
18. Section 4 applies this fuzzy measure to the analysis of xx and ?f$U8A4lp
illustrate its use on experimental data. +7Uv|LZ~@
19. Section 5 presents the primary results of the paper: a fuzzy set d,b]
#fj
model .. ih|;H:"^
z~-(nyaBS
20. Section 5 contains some conclusions plus some ideas for further ?y]R /?
work. eslvg#Q
21. Section 6 illustrates the model with an example. .Y|wG<E
22. Various ways of justification and the reasons for their choice are h<Ct[46,S
discussed very briefly in Section 2. dVPY07P
23. In Section 2 are presented the block diagram expression of a .V
R~[aD
whole model \11+~
of human DM system QE8`nMf
24. In Section 2 we shall list a collection of basic assumptions which ,1g_{dMx
a ... scheme must satisfy. 9Trk&OB
25. In Section 2 of this paper, we present representation and !7f,g vk
uniqueness theorems for the fundamental measurement of fuzziness o[1#)&
when the domain of discourse is order-dense. op@=0d??
26. In Section 3, we describe the preliminary results of an empirical bSz@@s.
study F @<h:V
VP
currently in progress to verify the measurement model and to obGhO
construct membership functions. sq;!5qK
27. In Section 5 is analyzed the inference process through the two ie11syhV"
kinds of inference experiments... l[]cUE
This Section +?W4ac1
1. In this section, the characteristics and environment under which 2~4&4
MRP is designed are described. DSRmFxkk
2. We will provide in this section basic terminologies and notations d``wx}#Uk
which are necessary for the understanding of subsequent results. $hHV Ie]+
Next Section L+VQtp&"
2. The next section describes the mathematics that goes into the
s_}6#;
computer implementation of such fuzzy logic statements. yf;TIh%)=
3. However, it is cumbersome for this purpose and in practical |V4<eF-0S
applications the formulae were rearranged and simplified as .P`QCH;Ih
discussed in the next section. }zS5o
[OE
4. The three components will be described in the next two section, o$Ylqb#
and an example of xx analysis of a computer information system will [=BMvP5
G@`ZDn
then illustrate their use. c{dabzLy
5. We can interpret the results of Experiments I and II as in the Qclq^|O0
following sections. j#2EQ
6. The next section summarizes the method in a from that is useful `Oi#`lC\
for arguments based on xx f1v4h[)-
Summary ;2\6U;
1. This paper concludes with a discussion of future research 122s7A
consideration in section 5. oPF]]Imu
2. Section 5 summarizes the results of this investigation. Rzh.zvxTp
3. Section 5 gives the conclusions and future directions of research. ;x2o|#`b
4. Section 7 provides a summary and a discussion of some extensions $Hj;i/zD
of the paper. JB].ht
5. Finally, conclusions and future work are summarized 8Z_ 4%vUBg
6. The basic questions posed above are then discussed and j)Ak:l%a
conclusions are drawn. Q
K#wsw
7. Section 7 is the conclusion of the paper. L'S,=NYXY
Chapter 0. Abstract })P!7t
1. A basic problem in the design of xx is presented by the choice of a +0z7}u\x
xx rate for the measurement of experimental variables. j*gJ
P
!
2. This paper examines a new measure of xx in xx based on fuzzy @v^j<B
mathematics which overcomes the difficulties found in other xx G" E_4YkJ
measures. i>,AnkI&
3. This paper describes a system for the analysis of the xx. OqDP{X:
4. The method involves the construction of xx from fuzzy relations. ;Su-Y!&