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楼主  发表于: 2007-11-10   

英语论文写作常用经典句型

英语论文写作常用经典句型 |d Soq~Vz  
SQliF[ -  
FUHjY  
Beginning yP"_j&ef7  
1. In this paper, we focus on the need for ?$o8=h  
2. This paper proceeds as follow. Nl(Aa5:!  
3. The structure of the paper is as follows. l,d8% \  
4. In this paper, we shall first briefly introduce fuzzy sets and related Ru sa &#[  
concepts W58 \V  
5. To begin with we will provide a brief background on the 8HWY]:| oh  
Introduction k|BEAdQ%M  
1. This will be followed by a description of the fuzzy nature of the I=b#tUBh8  
problem and a detailed presentation of how the required Maq{ H`  
membership functions are defined. @4&sL](q  
2. Details on xx and xx are discussed in later sections. sGzd c  
3. In the next section, after a statement of the basic problem, various ))+R*k%  
situations involving possibility knowledge are investigated: first, an O,DA{> *m  
entirely possibility model is proposed; then the cases of a fuzzy )"q2DjfX*  
service time with stochastic arrivals and non-fuzzy service rule is ^91k@MC  
studied; lastly, fuzzy service rule are considered. 1*=[% d7  
Review .&L#%C  
1. This review is followed by an introduction. D'</eJ  
2. A brief summary of some of the relevant concepts in xxx and xxx is 6)H70VPJ  
presented in Section 2. 8^HMK$  
3. In the next section, a brief review of the .... is given. |&C.P?q  
4. In the next section, a short review of ... is given with special regard 9}":}!  
to ... 4}l,|7_&I  
5. Section 2 reviews relevant research related to xx. {)`5*sd  
6. Section 1.1 briefly surveys the motivation for a methodology of =n$ ,Vv4A  
action, while 1.2 looks at the difficulties posed by the complexity of Vg2s~ce{  
systems and outlines the need for development of possibility S"fnT*:.%  
methods. in%+)`'nH7  
Body #opFUX-  
1. Section 1 defines the notion of robustness, and argues for its =WN6Fj`  
kkqrl JO|  
importance. a-O9[?G/x  
2. Section 1 devoted to the basic aspects of the FLC decision-making koaH31Q  
logic. +DVU"d  
3. Section 2 gives the background of the problem which includes xxx d<#Xqc  
4. Section 2 discusses some problems with and approaches to, `kFxq<?aK  
natural language understanding. yzXwxi1#  
5. Section 2 explains how flexibility which often ... can be expressed Ma_! 1Y  
in terms of fuzzy time-window Oq|pd7fcgm  
6. Section 3 discusses the aspects of fuzzy set theory that are used in CK.Z-_M  
the ... hcM 0?=  
7. Section 3 describes the system itself in a general way, including lOYwYMi  
the ….. and also discusses how to evaluate system performance. I'J=I{p*  
8. Section 3 describes a new measure of xx. ~!Onz wmO  
9. Section 3 demonstrates the use of fuzzy possibility theory in the 011 _(v  
analysis of xx. <y~`J`-  
10. Section 3 is a fine description of fuzzy formulation of human Cm>8r5LG  
decision. 00<iv"8  
11. Section 3 is developed to the modeling and processing of fuzzy ~ / "aD  
decision rules TB1 1crE  
12. The main idea of the FLC is described in Section 3 while Section 4 Z+Z`J; ,  
describes the xx strategies. 6`F_js.a  
13. Section 3 and 4 show experimental studies for verifying the +-HaYB|p  
proposed model. 4uDz=B+8y  
14. Section 4 discusses a previous fuzzy set-based approach to cost AY|8wf,LS  
variance investigation. t5[{ihv~:  
15. Section 4 gives a specific example of xxx. >.~^(  
16. Section 4 is the experimental study to make a fuzzy model of jG8 ihi  
memory process. C{+~x@  
17. Section 4 contains a discussion of the implication of the results of 7 ?/ Fr(\  
Section 2 and 3. 8h-6;x^^  
18. Section 4 applies this fuzzy measure to the analysis of xx and u'LA%l-  
illustrate its use on experimental data. Y~bp:FkS  
19. Section 5 presents the primary results of the paper: a fuzzy set .2Gn)dZU  
model .. L}x"U9'C  
V=.lpj9m  
20. Section 5 contains some conclusions plus some ideas for further naM4X@jl  
work. a+,)rY9  
21. Section 6 illustrates the model with an example. ~ia#=|1}  
22. Various ways of justification and the reasons for their choice are 0;r+E*`DA  
discussed very briefly in Section 2. (F~eknJ  
23. In Section 2 are presented the block diagram expression of a Y!CZ?c) @  
whole model ?OlYJ/!z3  
of human DM system ^]AjcctGr  
24. In Section 2 we shall list a collection of basic assumptions which ]%F3 xzOk  
a ... scheme must satisfy. qvhTc6oH  
25. In Section 2 of this paper, we present representation and o+q4Vg9&  
uniqueness theorems for the fundamental measurement of fuzziness %GjF;dJ  
when the domain of discourse is order-dense. h`?0=:Tru  
26. In Section 3, we describe the preliminary results of an empirical LKftNSkg"  
study Y Q3%vH5#y  
currently in progress to verify the measurement model and to ); 7csh%  
construct membership functions. wz T+V,   
27. In Section 5 is analyzed the inference process through the two +#,t  
kinds of inference experiments... ZXe[>H  
This Section 2mVH*\D  
1. In this section, the characteristics and environment under which )6^b\`  
MRP is designed are described. v #IC  
2. We will provide in this section basic terminologies and notations VqbMFr<k  
which are necessary for the understanding of subsequent results. ,|?B5n&  
Next Section L&q~5 9  
2. The next section describes the mathematics that goes into the ib*$3Fn~  
computer implementation of such fuzzy logic statements. R qOEQ*k  
3. However, it is cumbersome for this purpose and in practical JrYpZ.Nh  
applications the formulae were rearranged and simplified as ;x| 4Tm  
discussed in the next section. Xl@nv9m  
4. The three components will be described in the next two section, :G$NQ* (z  
and an example of xx analysis of a computer information system will g}L2\i688  
K \,&wU  
then illustrate their use. >2Z:=H T  
5. We can interpret the results of Experiments I and II as in the NJLU +b yU  
following sections. ^5QSV\X  
6. The next section summarizes the method in a from that is useful h:Npi `y  
for arguments based on xx I^0bEwqZ~  
Summary FV!  
1. This paper concludes with a discussion of future research `"Tx%>E(U  
consideration in section 5. `{ou4H\  
2. Section 5 summarizes the results of this investigation. ZsNUT4  
3. Section 5 gives the conclusions and future directions of research. ;'p X1T  
4. Section 7 provides a summary and a discussion of some extensions eWW\m[k]}  
of the paper. ~Se/uL;*  
5. Finally, conclusions and future work are summarized ].7)^  
6. The basic questions posed above are then discussed and >eWHPO  
conclusions are drawn. PHT;%;m=  
7. Section 7 is the conclusion of the paper. \7jcZ~FBX%  
Chapter 0. Abstract & &Vz=6N  
1. A basic problem in the design of xx is presented by the choice of a By:A9 s  
xx rate for the measurement of experimental variables. rM_8piD  
2. This paper examines a new measure of xx in xx based on fuzzy y =G  
mathematics which overcomes the difficulties found in other xx wNcf7/ky  
measures. $ [M8G   
3. This paper describes a system for the analysis of the xx. mVP@c&1w?  
4. The method involves the construction of xx from fuzzy relations. 0E o*C9FP~  
5. The procedure is useful in analyzing how groups reach a decision. *-Z JF6  
6. The technique used is to employ a newly developed and versatile Q~te`  
xx algorithm. DLJu%5F  
7. The usefulness of xx is also considered. zG+oZ  
8. A brief methodology used in xx is discussed. zl4Iq+5~6Q  
9. The analysis is useful in xx and xx problem. ^W3xw[{  
10. A model is developed for a xx analysis using fuzzy matrices. Nq9@^ E-{M  
11. Algorithms to combine these estimates and produce a xx are {CYFM[V  
pN1W|Wv2  
presented and justified. {Lrez E4  
12. The use of the method is discussed and an example is given. }Q/xBC)  
13. Results of an experimental applications of this xx analysis QE m6#y  
procedure are given to illustrate the proposed technique. #e{l:!uS\  
14. This paper analyses problems in F3;UH%L1  
15. This paper outlines the functions carried out by ... vqJiMa j@Z  
16. This paper includes an illustration of the ... g.iiT/b  
17. This paper provides an overview and information useful for l" *zr ;#  
approaching ;[uJ~7e3  
18. Emphasis is placed on the construction of a criterion function by Rm&i"  
which the xx in achieving a hierarchical system of objectives are h/QZcA  
evaluated. *)T},|Gc  
19. The main emphasis is placed on the problem of xx !QSL8v@c  
20. Our proposed model is verified through experimental study. "tn]s>iAd=  
21. The experimental results reveal interesting examples of fuzzy E&7U |$  
phases of: xx, xx }c:s+P+/  
22. The compatibility of a project in terms of cost, and xx are likewise r@%-S!$  
represented by linguistic variables. SdeKRZ{o  
23. A didactic example is included to illustrate the computational l> W?XH  
procedure eYOwdTrq  
Chapter 1. Introduction +A>>Ak|s  
Time "fU=W|lY  
1. Over the course of the past 30 years, .. has emerged form intuitive &l/2[>D%4  
2. Technological revolutions have recently hit the industrial world XBh0=E?qiS  
3. The advent of ... systems for has had a significant impact on the 2ed$5.D  
4. The development of ... is explored ^yb3L1y  
5. During the past decade, the theory of fuzzy sets has developed in a 5N @k9x  
variety of directions NhU~'k  
6.The concept of xx was investigated quite intensively in recent years W.'#pd  
7. There has been a turning point in ... methodology in accordance wa\Yc,R  
with the advent of ... 8iGS=M  
8. A major concern in ... today is to continue to improve... RXxi7^ U  
9. A xx is a latecomer in the part representation arena. FAX|.!US*p  
 MX2]Q  
10. At the time of this writing, there is still no standard way of xx 07P/A^Mkx  
11. Although a lot of effort is being spent on improving these %M]%[4eC  
weaknesses, the efficient and effective method has yet to be W8z4<o[$  
developed. MHeUh[%(  
12. The pioneer work can be traced to xx [1965]. o$;t  
13. To date, none of the methods developed is perfect and all are far ;h<(vc3@f  
from ready to be used in commercial systems. ]V0V8fU|  
Objective / Goal / Purpose 8Wqh 8$  
1. The purpose of the inference engine can be outlined as follows: ~_8Dv<"a  
2. The ultimate goal of the xx system is to allow the non-experts to I$7|?8  
utilize the existing knowledge in the area of manual handling of loads, \@&oK2f  
and to provide intelligent, computer-aided instruction for xxx. R/ix,GC  
3. The paper concerns the development of a xx <:/Lap#D^  
4. The scope of this research lies in ;)$bhNFHx  
5. The main theme of the paper is the application of rule-based : fMQ,S0  
decision making. MdXOH$ ps  
6. These objectives are to be met with such thoroughness and C@d*t?  
confidence as to permit ... - :cBVu-m  
7. The objectives of the ... operations study are as follows: "AYm*R  
8. The primary purpose/consideration/objective of KCP$i@Pjv  
9. The ultimate goal of this concept is to provide M$_E:u&D  
10. The main objective of such a ... system is to jV{?.0/h|  
11. The aim of this paper is to provide methods to construct such !z? &  
probability distribution. xB-\yWDZe  
12. In order to achieve these objectives, an xx must meet the mxD]`F  
following requirements: PWciD '!  
13. In order to take advantage of their similarity gxnIur)  
14. more research is still required before final goal of ... can be 8u8-:c%{  
completed MrjgV+P}[  
15. In this trial, the objective is to generate... +pUG6.j%  
16. for the sake of concentrating on ... research issues $40G$w  
17. A major goal of this report is to extend the utilization of a recently w'[JfMuP  
developed procedure for the xx. (A(j.[4a  
C)UL{n  
18. For an illustrative purpose, four well-known OR problems are =hRo#]{(K  
studied in presence of fuzzy data: xx. [}$jO,H5r  
19. A major thrust of the paper is to discuss approaches and ^?M# |>  
strategies for structuring ..methods :2t0//@X  
20. This illustration points out the need to specify <+y%k~("  
21. The ultimate goal is both descriptive and prescriptive. K_! R   
22. Chapter 2. Literature Review srlxp _^  
23. A wealth of information is to be found in the statistics literature, A_e&#O  
for example, regarding xx 2# 72B  
24. A considerable amount of research has been done .. during the UuS6y9@v  
last decade WOg pDs  
25. A great number of studies report on the treatment of =jEVHIYt  
uncertainties associated with xx. KvjsibI/Y  
26. There is considerable amount of literature on planning  g^l~AR  
27. However, these studies do not provide much attention to o75l&`  
uncertainty in xx. HPMj+ xH  
28. Since then, the subject has been extensively explored and it is t:x"]K  
still under investigation as well in methodological aspects as in FuC#w 9_  
concrete applications. "D,}|  
29. Many research studies have been carried out on this topic. R$h B 9BK  
30. Problem of xx draws recently more and more attention of system / Q| Z&-c  
analysis. \@[Y ~:  
31. Attempts to resolve this dilemma have resulted in the R]&lVXyH  
development of  6t\0Ui  
32. Many complex processes unfortunately, do not yield to this a[VX)w_W{  
design procedure and have, therefore, not yet been automated. 9!_JV;2  
33. Most of the methods developed so far are deterministic and /or _z=yt t9D  
probabilistic in nature. B/*\Ih9y  
34. The central issue in all these studies is to L\hid /NL  
35. The problem of xx has been studied by other investigators, b*(, W  
however, these studies have been based upon classical statistical ,. zHG  
approaches. `_()|;!y  
36. Applied ... techniques to tkYPfUvTE  
37. Characterized the ... system as e ?7y$H-  
( Sjlm^bca  
38. Developed an algorithm to B)*1[Jf{4  
39. Developed a system called ... which \JC_"gqt  
40. Uses an iterative algorithm to deduce 75pn1*"gQ  
41. Emphasized the need to jR9;<qT/  
42. Identifies six key issues surrounding high technology [b+B"f6  
43. A comprehensive study of the... has been undertaken JXV#V7  
44. Much work has been reported recently in these filed AC\y|X8-  
45. Proposed/Presented/State that/Described/Illustrated/ ;eJ|) *  
Indicated/Has shown / showed/Address/Highlights (}5};v  
46. Point out that the problem of ]s0GAp"  
47. A study on ...was done / developed by [] O2":)zU.  
48. Previous work, such as [] and [], deal only with /2''EF';  
49. The approach taken by [] is Ey.%: O-Dv  
50. The system developed by [] consists U'^ G-@  
51. A paper relevant to this research was published by [] Ng1bjq}E2  
52. []'s model requires consideration of... 6"[J[7up  
53. []' model draws attention to evolution in human development La28%10  
54. []'s model focuses on... 'pyIMB?x  
55. Little research has been conducted in applying ... to pHowioFx  
56. The published information that is relevant to this research... gL~3z'$  
57. This study further shows that TV|Z$,6l  
58. Their work is based on the principle of &1Y7Ne  
59. More history of ... can be found in xx et al. [1979]. WZn"I& Z  
60. Studies have been completed to established nI4oQE  
61. The ...studies indicated that ^?_MIS`4N  
62. Though application of xx in the filed of xx has proliferated in S'`G7ht  
recent years, effort in analyzing xx, especially xx, is lacking. -aLM*nIoe  
Problem / Issue / Question PZvc4  
63. Unfortunately, real-world engineering problems such as S?zP; iFj  
manufacturing planning do not fit well with this narrowly defined >sdF:(JV&  
model. They tend to span broad activities and require consideration *%\Xw*\0  
of multiple aspects. mhM;`dl  
64. Remedy / solve / alleviate these problems M?Fv'YE  
67. ... is a difficult problem, yet to be adequately resolved W9{;HGWS  
c (29JZ  
68. Two major problems have yet to be addressed ~.6% %1?  
69. An unanswered question g6x QQ,q=l  
70. This problem in essence involves using x to obtain a solution. {t4':{Y+  
71. An additional research issue to be tackled is .... xXnSo0`L F  
72. Some important issues in developing a ... system are discussed @Z7s3b  
73. The three prime issues can be summarized: Bio QV47B  
74. The situation leads to the problem of how to determine the ... ]k BC,m(  
75. There have been many attempts to J7`;l6+Gb  
76. It is expected to be serious barrier to <IBUl}|\  
77. It offers a simple solution in a limited domain for a complex *3h_'3yo@  
problem. gv&Hu$ ca  
1. There are several ways to get around this problem. Y9 Bk$$#\  
2. As difficult as it seems to be, xx is by no means new. /XA*:8~!  
3. The problem is to recognize xx from a design representation. 4#t=%}  
4. A xx problem can trace its roots to xx. o.Bbb=*rZ  
5. xx [1987] used a heuristic approach to simplify the complexity of D><^7nr%  
the problem. D51s)?  
6. Several problems are associated with them. %tPy]{S..  
7. Although some progress has been made in this area, at least two KU Mk:5 c  
major obstacles must be overcome before a fully automated system &LG|YvMY6  
can be realized. wzmQRn;s  
8. Most problems in practice are complicated Jh36NE8r  
9. More problem surface here. GuaF B[4  
10. Hamper effort toward a xx system &os:h] C  
11. In order to overcome the limitations due to incomplete and mVN\  
imprecise xx knowledge, a xx program has been developed, which _PQk<QZ  
bases its knowledge upon the statistical analysis of a sample ^r O!-  
population of xx qP zxP @4  
12. The above difficulties are real challenges faced by researchers $"}[\>e*{  
attempting to develop kY9$ M8b  
13. This type of mapping raises no controversy to the issue of )4hA Fy6l  
membership function determination. :22wq{  
14. However, attempts to quantify the xx have met both theoretical TTWiwPo59  
and empirical problems. 3<[q>7X  
'geN  dx  
15. It has become apparent that in order to apply this new I>6zX  
methodological framework to real-world problems and data, we have W&[-QM8  
to pay attention to the problems of xx and xx. w'y,$gtX/  
Chapter 3. Proposed methodology aWP9i &  
Assumption <(xro/  
1. In the case when the assumption of a xx seems to be too gNkBHwv  
restrictive or inadequate, the formulation with Fuzzy termination 3Tc90p l*t  
time, i.e. given by a fuzzy set in the space of control stages, may be x2/ciC  
applied. (h[. Ie  
2. We assume here the fuzzy constraints to be state-dependent, and e5"5 U7  
the fuzzy goal to be the same for all the control states, xx, which b&d4(dk  
stems from the problem's nature. jR+k x:+  
3. An approach to the solution of this problem is presented under the cFq2 6( e  
assumption that the sampling rate Decision can be made prior to the  H =&K_  
execution of the experiment, as opposed to being made while the l&m Y}k  
experiment is in progress. HV]u9nrt#  
4. Another assumption made above is that there are precise odds at xK 5~9StP  
which the expert is indifferent. 7&w[h4Lw  
5. Main simplifying assumptions are: [9F  
6. This, in our view, is a questionable assumption. 6?JvvS5  
Outline / Structure / Module t\v~ A0  
1. An outline of the research +Z=y/wY  
2. Information is incorporated within the scheme ~0}d=d5g  
3. Is built into ... structure 2p58_^l  
4. A nice modular structure. 41Ab,  
5. The principles of ... are applied as modularized criteria 6 .[3N~pq  
Classification ZG~d<kM&8s  
1. A xx system comprises three main components: 0h{&k7T<7  
2. Must decompose the original .. into a set of .. OsRizcgdA  
3. Consists of the following steps: I%B\Wy/j^  
4. This is summarized in the following steps: ep*8*GmP  
^f,%dM=i=  
5. Can be broadly classified into the following areas: 1xO-tIp/  
6. Can be characterized by its function of effectively processing the r$x;rL4  
7. Can allow further breadth of application of ...into more jw0wR\1  
8. The following steps should be followed 0JqvV  
9. xx can be classified by a different ways. g yT0h?xDt  
10. Based on the xx, one may classify xx into the following: Z.s0ddM s  
11. This catalog may change due to wear, breakage, and purchasing. +% K~HYN  
System .kgt? r  
1. Unlike many conventional program, expert systems do not "M^mJl&*b  
usually deal with problem for which there is clearly a right or wrong E Q:6R|L  
answer. y'non0P.  
2. The system consists of both ... and ... vskp1Wi(  
3. The system has a hierarchical modular architecture organized on zw iS%-F  
three levels. d"Zyc(Jk  
4. expert system domains are area of expertise "98 j-L=F+  
5. To develop a xx system for xx, the following factors must be %8d]JQ  
considered: }XqC'z  
6. The system has been developed / designed to determine U\-R'Z>M  
7. The system has proven to be able to aP"!}*  
8. The domain in which an expert system operates is a particular ?},RN  
domain 8xkLfN|N=  
9. The system comprises a ... with I~;H'7|e  
10. The system is [feature-oriented ] / based on the ... technique 5 Yww,s  
11. The system environment must be relatively stable *.Z~f"SZy*  
12. The system is utilized to generate, load, store, update and V7cr%tY5  
retrieve ... P4+PY 8  
13. The development of a xx system has two stages: xx stage and xx ,,BWWFg~  
stage. ff~1>=^  
14. The most essential part of .. system is the ... LC\U6J't1  
15. The successful developments in ESs have made them an MIb [}w=  
important tool in the development of ru4M=D  
16. An automated system was developed for 2.MY8}&WBu  
17. In this case, the system can be considered to be generative. z%\&n0  
8pZ Ogh  
18. An interactive automatic ... system *%E\mu,,c  
19. A …. is commonly thought of as a truly integrated .. system s'$2 }K  
20. Should be capable of being generated from a ... system (L(n%  
21. xx is an important part of the integrated system. +(^H L3  
22. The model consists of four rule bases, each of which addresses a %Y>E   
separate problem in the hierarchy of scheduling decision. y0~ttfv  
23. The rule bases are linked to each other in a chin-like manner in uL^`uI#I  
the sense that the consequent of one rule base constitutes a part of ]'-y-kqY  
the antecedent of the next rule base. IDL0!cF  
24. The rule base consists of all possible combinations of the Yy6$q\@rV  
linguistic terms associated with the linguistic variable of the M>}_2G]#F  
antecedent of a rule. +'nMy"j1  
Computer System q'TIN{\.{  
1. The system has been implemented using Prolog language in an BRM!g9  
MS-DOS environment. Prolog was chosen because it offers a well D2=zrU3Y64  
known and flexible environment in which fuzzy reasoning may be Rd|8=`)  
easily implemented. z,4 D'F&  
2. The current version of the xx program when compiled with \ Ce*5h  
WATFOR77 results in an executable code of about 270K bytes. wm_rU]  
Typical run time, when run on a XX computer (an IBM compatible y*6/VSRkt4  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min *>1^q9M  
to 2h, depending on the size (or complexity) of the problem. ivyaGAF}+o  
3. Time consuming procedures have been implemented in YPf?  
C-language and directly linked to the Prolog environment.  1X&jlD?  
4. The xx process, once the xx's data has been entered, requires >[;=c0(  
approximately 180 seconds. >P&1or)e%  
5. It should be noted that the computation was done with a 20 Hhz, 8ZLHN',  
80386..209;based microcomputer equipped with a 80387 math qZ&~&f|>e  
co-processor. 4d-(:  
6. The computer programs used for the analyses, one based on the xx #<ST.f@*  
method and the other based on the new method, were written in 44|tCB`  
FORTRAN with a compiler that supports the math co-processor. &I[` .:NJ  
7. Lisp, Prolog give maximum flexibility but also maximizes  bI8uw|c  
%.?V\l  
development time. /jGV[_Q=P  
l Internal representation is the way a model is represented in the W5=)B`v  
computer. h /^bRs`;  
l An interactive menu-driven procedure is used in this study PMV,*`"9"A  
l Shell can be develop very fast at the cost of time fairly severe PP>6  
limitations. WmN( (  
l While there is no measurable saving of time for the case involving R&J?X Q  
five criteria, the saving is dramatic for the case involving 10 criteria a6^_iSk  
-- the computation time reduces from 10 hr 40 min to about 1 min. m!ueqV"  
l This combination is being implemented in an objected-oriented stBe ^C  
programming environment (Smalltalk-80 system) to solve problems sA77*T  
encountered in construction xxx. ii-AE L  
Method / Approach / Study / Process Model / Equation /Algorithm / ?1a9k@[t  
Rule / Formula / Technique F_jHi0A  
l A discussion is presented of a problem-solving system W ';X4e  
l To improve the efficiency of the method, the following approach -p.\fvip  
may be applied. va'F '|  
l In order to an investigation was made to find the causes of the n=vDEX:'  
l Although large collections of rules and equations have been S!.&#sc  
complied, none are generally accepted Cul=,;pkB  
l This approach will be explained and discussed thoroughly in the ;ryNfP%  
body of the report. 5$D"uAp<V  
l This can be accomplished by PD-&(ka.  
l This algorithm to compute the total cost can be described step by q1( [mHZ  
step as follows: '=n?^EPE3  
l The above preliminary analysis has provided important Oo}h:3?  
information Y}N\|*ye-  
l Various methods have been proposed for selecting an optimum... ,T< JNd'  
l These concepts have been applied to 0)332}Oh  
l On the basis of the concept mentioned above, D3X4@sM  
l This can be achieved by Aj4 a-vd.  
l This fact suggests that a new concept 8b)WOr6n  
l This was accomplished by taking ... -}|L<~  
 % D  
l The preparatory stage is very time consuming process. iM)K:L7d  
l Test are performed for validity, completeness, and compatibility 3k`Q]O=OU  
l There is little hope of achieving successful ... v$|~ g'6  
l There has been an increasing awareness of the potential of using  D}98ZKi  
most ..so far made have not taken this approach, with the exception IMH4GV r"  
of fRQ,Z  
l Only a few studies can be found. 3R+% C*7  
l It is a very tedious process to go through  ?<EzILM  
l It is only when .. has been completed that .. may be effected Fo.Y 6/}  
l The entire interpretation process is conducted in one's head. (Xh <F  
l These approaches are sometimes very tedious. o utJ/~9;  
l Several techniques can be used F@i >l{C  
l A polynomial parametric model can be written as [the YsVmU  
following]/[follows]: i6'=]f'{  
l A xx model is constructed/formulated using xx. EAGvP&~P  
l A xx model represents an xx by its xx. ny5 P*yWEh  
l A process decision model captures the logic essential to 9|1msg4  
l From the equation above, xx is equal to the summation of xx ca g5w~Px  
times the ... 79v+ze  
l The validity of a xx model can be checked using Euler's formula. tOiz tYu  
l Given a model, one can mathematically determine whether ... or ... _O`p(6  
l Equations for xx need to be derived and implemented in the PR %)3  
system. MJXnAIG?2  
l A number of heuristic rules have been developed for MXaF q K<Y  
l Optimum .. techniques can be made more reliable by ... so that ,|A^ <R`  
l An algorithm based on the characteristic ... is used to determine ]<;7ZNG"Y5  
l Euler's formula states the following: msBoInhI  
l The completed model should agree with the formula. EN!C5/M{&  
l For manufacturing purposes, a detailed and precise model of the qVC+q8  
object is necessary 5whW>T  
l Engineering design models are very well defined; therefore, sgfqIe1  
l To keep the domain narrow enough to be implementable, yet wide GW,EyOE+~  
enough to {rc3`<%  
be useful. hIe.Mv-I)  
g0B] ;Y>(  
Point of View ip-X r| Bq  
l from an implementation standpoint, COh#/-`\1  
l From the point of view of this application, 8^UF0>`'  
l From this point of view, Zadeh suggested an inference rule named J&A1]T4d  
xxx (CRI for short). ZmsYRk~@-  
l Information is the meaningful interpretation and correlation of vB7Gx>BQd  
some aggregation of data in order to allow one to make decisions. ZNBowZI  
l From a practical point of view, the computational aspects of an ?Lg<)B9   
FLC require a simplification of the fuzzy control algorithm. ojM'8z 0Hn  
l The use of a hammer to insert screws, although partly effective, vi##E0,N'^  
tends to distort, destroy, and generally defeat the purpose of using a :r q~5hK  
screw [Kusiak AI Implications for CIM p.129] 5iA>Z!sP[  
Justification wH~A> 4*(  
l We choose the so called xx in our experiment because it has cGV%=N^BE<  
received wide acceptance and can )> ZT{eF  
l Prolog was chosen because it offers a well known and flexible $g>bp< 9v4  
environment in which fuzzy reasoning may be easily implemented. clvg5{^q[  
l The rationale behind this is that it can be much easier for an H$I~Vz[\yb  
estimator to rate a cost as high than to attempt to place a dollar b}qfOgd5  
value on the estimate. x=DxD&I!J  
l This strategy has been widely used in fuzzy control applications _lv{8vf1B  
since it is natural and easy to implement. ZXnacc~s  
l A function definition expresses the membership function of a al[^pPKZ  
fuzzy set in a functional form, typically a bell-shaped function, etc. [icD*N<Gc  
Such functions are used in FLC because they lead themselves to Qder8I  
manipulation through the use of fuzzy arithmetic. SJiQg-+<Uf  
l It should be noted that in our daily life most of the information on Ze0qRLuH!  
which our decisions are based is linguistic rather than numerical in _mm(W=KiL  
nature. Seen in this perspective, fuzzy control rules provide a natural 6:8s,a3&[k  
framework for the characterization of human behavior and decisions FAM{p=t]HT  
analysis. Htgo=7!?\3  
l Many experts have found that fuzzy control rules provide a UBL{3s^"  
()aCE^C  
convenient way to express their domain knowledge. This explains e=&~6bs1U  
why most FLCs are based on the knowledge and experience which PMsb"=D s  
are expressed in the language of fuzzy "if-the" rule. Z )c\B  
Chapter 4. Examples fTj@/"a  
Example/ Data d[ 6 'w ?  
l The data used in the following example was taken from an Tx} Nr^   
experiment in which xx was measured between x and x using a xx XZ%[;[  
technique. |:C0_`M9  
l The data consists of over xx measurements. ~\am%r>  
l An example of xx is discussed and the control rules of xx are V0^{Ss1M  
compared with a xx ^}P94(oz  
l Examples of complex processes to which this technique may be nXn@|J&z~U  
applied are xx, xx, etc. qWH^/o  
l The following example is constructed only for the purpose of 1 *' /B  
illustrating the computational procedure discussed. bll[E}E|3  
l This example clearly demonstrates that the profile of an individual >N#Nz 0|(  
xx, or a very small group of xx, with no enough data to be studied B.y}S  
statistically, can be meaningfully analyzed by fuzzy possibilistic #QFz /6  
methods. pFH.beY  
l There is no space here to go into detail on all these methods, but L;0 NR(b!  
deserve a mention and the bibliography will point to detailed tU?BR<q  
references for those wishing this level of detail. ]EHsRd  
l Note that the golf ball spotting example is used throughout the 4~Qnhv7  
paper. ;i[JCNiS\  
Comparisons Z5xQ -T`  
l As well, the pros and cons of these representations from a process ZbC$Fk,,I&  
planning point of view will be discussed. <}lah%4F  
l The method of using xx to implement xx described by Zadeh #HV5M1mb  
(1973) appeared more suitable r[(;J0=  
l As discussed [in the previous section]/[preciously], Tz )Ku  
LF7 }gQs ^  
Relation =6U5^+|d  
l We can not invert F' directly because it defines a many-to-one oJD]h/fQs  
mapping. 9}QIqH\p  
l The relationships appear very complicate UJ,vE}=_{  
l Lifting tasks involve complex and imprecise relationship between (eF[nfM  
the task variables and the human operator's characteristics. -Kg.w*\H7/  
l These methods are based on the relationship between ... and ... f_)#  
l The fundamental concept of a fuzzy rating language is that we can 6hj[/O)E  
establish a relationship among terms such as high, medium, and low, +ZbNSN=  
and then modify these relationships. pnuo;rs  
l This article will thus mention the latter as well as the former. $e+4Kt ,  
l The former two bear a close relation to a fuzzy Cartesian product. CmXLD} L_x  
Importance ^.:&ZsqV  
l The emphasis is on an implementation of a general approach to &Y^4>y%  
rule based decision making. Je|:\Qk  
Consideration / Attention 1qR$ Yr\  
l Careful evaluation is necessary to ensure =COQv=GT  
l Such a formulation does not change further considerations. d-b<_k{p  
l Considerable attention has been paid to 2T}>9X  
l Attention should be paid to an important finding of this 0rL.~2)V  
investigation. JkN*hm?  
l Caution should be exercised in this process to avoid ... 'Z#_"s#L  
l Primary consideration is given to ... components, though others O [= L#wi  
can be accommodated H ~3.F  
l After ... has been defined by ..., a carefully analysis is carried `Kg!aN  
out/performed to determine $gnrd~v4e  
l A number of factors such as ...need to be taken into consideration :[+8(~| za  
before making the appropriate decision. kSiyMDY-  
l It should be noted that |=ph&9  
l It is important to point out that ... 6O,k! y>  
l These considerations have heightened interest in the possibility of V|@bITJ?7  
providing ... L4B/ g)K  
bvJ@H Z$   
l We should stress the fundamental importance of the xx zWU]4;,"  
Chapter 5. Results. eI"pRH*f  
Advantages / Disadvantage h STcL:b   
l One of the major advantages of this new measure of xx is that it N$Ad9W?T  
can be applied to the experimental study of QY4;qA  
l One advantage of using a .. is the ease of preparing it. X+sKG5nS  
l The xx system is versatile  ?;v\wx  
l It has a very fast decision making process oh:9v+  
l All the algorithms involve mostly logical operations. _BA; H+M  
l It can be easily and without additional cost implemented in a ?7V~>i8[  
microprocessor-based environment. hFm^Fy[R  
l It can reduce the waste of designing from scratch. #<==7X#  
l The advantages of using a xx to represent xx are the following: O$r/ {{I.  
l However, xx is not without its shortcomings. E,tdn#_|  
l In most cases, the xxx shows an improvement over the existing q++\< \2  
xxx. $.C-_L  
l Compared to the existing xx, the impacts of the xx are generally aL[6}U0(}  
reduced by 5% to 9%. Lu 6g`O:['  
l The "best case" results shows a savings of 6% to 9%. wdP(MkaV  
l Most of the existing works based on xx approach can only ~IW{^u  
recognize a xx . "G%</G8M  
l Most of the above methods are computational expansive and aOd#f:{y  
limited to xx. .Ja].hP  
l Some other advantages of xx are the following: X-nC2[tu'W  
l The problem is the limitation of this method to a limited domain of 6 /YJA*  
parts. >Y8\f:KQ  
l It proved limited in application because it demanded precision in xE@/8h  
system modeling that was impossible in practice. 2`riI*fQ  
l There are advantages to be gained in the structuring of costs and V6P-?Nd  
benefits, the use of xx, 04dz ?`HuB  
l The disadvantages of this method are also disadvantages of YhV<.2^k  
conventional xx approaches. `K5*Fjx  
tgG*k$8z  
l This combines the best features of both techniques M\4` S&  
l Hopefully, this tool can be as the reference framework of for pml33^*<U  
developing a xx platform, and helping the administration, marketing, Sp X;nH-D  
and knowledge management activities in virtual communities. ~5&4s  
Results tjFX(;^[  
l An improvement on the result shown above can be made by based gm)Uyr$  
on the data provided <7Pp98si,u  
l Discussion of these theories is beyond the scope of this review ! \4B.  
l Based on the information contained in this ?Q-Tyf$3  
l The result can be categorized into nine classes mF\!~ag|  
l The results are illustrated by an example 4{F1GW  
l The experimental results for each xx time are reported in Table 2. Oq.ss!/z  
l From the results obtained so far, it seem that *KvD$(ny  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn e9[72V  
as dW4jkjap  
l Although much effort has been made to., this reality is far from a,vS{434J  
completion. +v;z^+  
l The results indicate that the total benefits are higher than the &t9 V  
total costs.  '?9zL*  
l Their results may then serve as guidelines for lower level models, 6"Fn$ :l?  
less fuzzy and more detailed. :Mu *E5  
Chapter 6. Conclusion  bOj)Wu  
l From the discussion, one may conclude that ... x>[]Qk^?q  
l Form the above discussion, the conclusion can be reached that Z71m(//*}  
l The conclusions drawn are also valid Y}c/wF7o  
l In conclusion to this, it becomes obvious that the problem of xx N;|^C{uz  
lies not only in... } jj)  
l We have attempted to introduce some concepts associated with a w2nReB z  
theory of [Iks8ZWr_  
xx based on fuzzy sets. *XTd9E^tXq  
l Considerable more work, hopefully, will be done in this area |EE1S{!24m  
l A fuzzy set procedure is proposed to solve xx selection problems &|>~7(  
_!',%  +  
interwoven with imprecise data 4 ThFC  
l Employing the compositional rule of inference, the assessment of ;>?h/tS6  
the xx compatibility in achieving prescribed xx projectiles in any nQc#AFg  
level of the hierarchy is made possible. O]u'7nO{{  
l This paper has presented a theoretical and experimental study of R_PF*q2 '  
the xx process and xx concept. [%.v;+L  
l The experimental research results will hopefully serve as useful T0w_d_aS  
feedback information for improvements for xx work. x z _sejKB  
l The scope of this contribution was to introduce a xx method. n[ B~C  
l In general, fuzzy sets theory provides an alternative foundation B?VTIq>  
for xx analysis in a fuzzy environment. T`EV uRJ  
Future Research +"?+B e  
l Thus, first extension of the approach could be, 7PY$=L48A  
l Present some cues for a further approach from Fuzzy Sets Theory <sH }X$/  
application to #V!a<w4_  
l Some improvements to the scheduling aspect of the model may ntW@Fm:bw>  
be brought through additional levels in the hierarchy for more P=94  
detailed representation of the scheduling activity. .9jKD*U|  
Tables and Figures s*izhjjX  
l Figure 7-1 sketches these relationships. ukWn@q*  
l The graphical representation of these functions is shown in Figure LIZB!S@V\  
1. ix3LB!k<  
l The xx may be depicted as in Figure 1. )% 7P?^>  
l Figure x shows the schematic diagram of the qyH -Z@  
l Figure 1 though 2 provide a ... that vQMBJ &  
l the architecture of this expert system for .... is illustrated in Figure }E 'r?N  
2. 8%[pno |0I  
l Figure 2 gives the outline of an ... system _; 1{feR_  
l Table shows the Y % JQ  
l as shown in Table 1 and 2 "z~ba>,-\  
l This concept is illustrated in Figure 2 [^5\Ww  
l At the top of Table xx are shown two blocks of data. V0nQmsP1U  
QU).q65p  
l Each table or matrix has constructs xx through xx as O*EV~ { K  
row-headings, *%j$i_  
xx through xx as column-headings. % Y^J''  
l A table of .. is developed and significant recommendations are u!_l /'\  
made. ,erw(7}'.  
CONJUGATION 8H!QekQZ]\  
To Indicate Addition `9~ %6N?7#  
l additionally, again, also, and then, as can be easily understood, }Z!D?(  
besides, equally important, especially, finally, for the same reason, d1 j9{  
first, further, furthermore, in addition, last, likewise, moreover, next, dr q3=2  
second, third, too, evidently, obviously, roughly speaking, broadly )pnyVTKt  
speaking FfoOJzf~o  
To Indicate Cause and Effect ;XKe$fsa~?  
l accordingly, as a result, consequently, for this reason, hence, in 6  63o  
short, otherwise, then, therefore, thus, truly MY&Jdmga  
To indicate Comparison d$dy6{/YD  
l in a like manner, likewise, similarly , alternatively x]~TGzS  
To Indicate Concession $XBK_ 5  
l after all, although this may be true, at the same time, even though, dAo;y.3  
even so , I admit, naturally, of course P]_d;\ !"v  
To Indicate Contrast K1B9t{T  
l and yet, at the same time, but, for all that, however, yet, in fact, in k B\{1;  
contrast, in the real life, in spite of, nevertheless, notwithstanding, x(_[D08/TT  
normally, on the contrary, on the other hand, still, traditionally, p?@ %/!S  
rather, unfortunately, je4l3Hl  
To Indicate Time Relationships: "q@m6fs  
after a short time, afterwards, as indicated earlier, as long as, as soon okNo- \Dh!  
;JW_4;-  
as, at last, at length, at the moment, at that time, at the same time, NFK`,  
before, earlier, currently, immediately, in the meantime, in recent APQq F/  
years, lately, later, meanwhile, often, of late, presently, recently, G#M)5'Q]U  
soon, shortly, since, thereupon, temporarily, therefore, until, when, bF)G+IH  
while d[ N1zQW  
To Indicate Special Features or Examples: nla6QlFYn*  
for example, for instance, incidentally, indeed, in fact, in other words, Z:; }  
in particular, in practice, specifically, that is, to illustrate, in this 6_LeP9s )  
respect, theoretically, as mentioned before / above DSGcx M+  
To Indicate Summary: ^)VwxH:s  
in brief, in conclusion, in short, in summary, on the whole, to aQk&#OQy  
conclude 3r\8v`^>  
, in general, to summarize, to sum up, as a result, ultimately, v* ;d  
VERB PHASE xNP_>Qa~  
l build a .. model '6KvB  
l build up the key link "L~(%Nx3  
l began a new era in ... b}J%4Lx%m  
l can be regarded as / achieved / used to/for / found / obtained dWqn7+:  
through #;!&8iH  
l can result in S63 Zk0(25  
l carries out ... tasks BFLef3~.0  
l production information in order to simultaneously yNTd_XPL  
l contains all information necessary to describe . ,7bGY 1$  
l do not make use of production information n|`3d~9$&  
l deals with XtF m5\U  
l end with failure b7Y g~Lw  
l fetch the information from the model directly |<%!9Z  
l has great potential / yet to be resolved / spurred the {]vD@ )k  
development of / ?ukw6 T  
been recognized as S_}`'Z )  
l BE aimed at / built up / carried out by / essentially concerned Lu.zc='\  
K^- 1M?  
with / considered to be the key technology / associated with each `:/'")+@v  
feature of a compo P rt} 01$  
site component / cable of / currently implemented for / : t ?B)  
demonstrated by an example / finally reached / made equal to / ZWs   
equivalent to / more suitable to / oriented to / interpreted as / &H(yLd[  
pointed out / potentially of great benefit in the complex task of /  Et>#&Nw8  
shown in / used to effectively guide the search OLw]BJXYaE  
l makes use of @sXFu[!U  
l make up XTol|a=  
l meets the needs of real life production,/ the current demands *MF9_V)8V  
placed upon it ">uN= {Iy  
l must be justified H`EhsYYK  
l point out gesbt  
l play an important role _0/unJl`  
l relates to %&ejO= r  
l rely on nD wh  
l satisfy the needs j50vPV8m  
l determine the total requirements for the ... 5'%I4@Qn+  
l uses ... as a key to search for... r924!zdbR  
l without relying on U,<m%C"  
l will be available/ performed/ overlooked fHt\KP  
NOUN PHASE bQ< qdGa  
l a basic technical function of }\4yU=JP K  
l a critical need *X5)9dq  
l a key / principle feature of "k zKQ~  
l a substantial impact on I16FVdUun4  
l an intensive review was conducted tr<~:&H4T  
l an increasing need for expanding the application of .... j,n:%5P\v  
l an important component / function / aspect / issue ]HKt7 %,  
l each rule is numbered in sequence {QG.> lB  
l each of these involves o |$D|E  
l for this calculation, it is necessary to define -FeXG#{ )  
l in the physical environment / integration of K:Z$V  
A U~DbU0O  
l in the reality of situations where … \"P{8<h.3  
l many aspects of >hunV'vu'  
l most past efforts have been spent on ... D(b01EQ;d  
l common sense to a well studied and documented technical field. E@}F^0c  
l sources of additional information on ... are listed $5nMD=   
l systematic and rationally structured format IZVP-  
l the basis on which a range of ...operations can be established is ?sfqg gi  
shown &raqrY|V  
l THE basic philosophy / principles of / key element / general |Xt G9A>  
hypothesis / candidate list of / concept of ... has attracted wide S^O9}<2g  
interest / function is concerned with / heart / impact / nature / role %m&6'Rpfk  
/ task of / kernel functions qxZ IH  
l the number of parts needed to ?v^NimcZ  
l the above statement means that <q63?Ms'  
l the output data is passed to ~^wSwd[  
l the proposed method / underlying principle Dfs^W{YA  
l the recommendations made in this report, if implemented, should I}f`iBG  
l this information resides in <Iw{fj|  
l this process is composed of ... different ... operation X[ tt'5  
l along with the use of HxI6_>n^I  
l concerning general aspects of !GOaBs  
l due to +\!.X _Ij  
l for later use in generating..., {FI zoR"  
l in turn, rPH7 ]]  
l IT IS believed / noted / assumed / suggested / shown / quite aZ@pfWwa:  
evident / appears / implies that / intended for / of no important to "vGh/sXW  
l it can be claimed/concluded that i/:L^SQAq  
l it demonstrates the decisions required of G,C`+1$*  
l it also provides information to .. d4o ^+\  
l it becomes essential to J[lC$X[  
l let ... be the probability that eV7;#w<]  
l once... is written, it is compiled into... a4:GGzt  
l suppose it is observed that n;Bb/Z!~  
l this is because C?qRZB+W#  
6_mi9_w  
l this results in a w/@ZPBRo]  
l upon completion of the ... analysis, }s,NM%oI  
l when the knowledge is of mathematics or quantum physics, it will ~5 6&!4  
also be t/|0"\ p  
recorded in books and papers aM5]cc%  
l selection of rules for using the tools, for generating operation @$ 7 GrT  
plans, ky2]%cw  
is another matter of preference, since practice varies greatly. 21TR_0g&<  
l for the sake of convenience ('x]@  
l correct decision to be reach x3n9|Uud  
l keeping the number of rules to a minimum. >0HH#JW  
l a good process plan will result exhibiting several characteristics: T"xJY#)}  
l practical solutions XFWpHe_ L  
l because of rather small job lot sizes tW/k  
l Backward reasoning can be used to answer the question "should V$ZclV2:Ih  
milling tool be select" different level of knowledge in the realm of Kq[4I[+R  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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