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主题 : 英语论文写作常用经典句型
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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 y}Ji( q~  
foO /Yc  
[H ^ ktF  
Beginning b?S,%  
1. In this paper, we focus on the need for l12Pj02w  
2. This paper proceeds as follow. g{0a]'ph  
3. The structure of the paper is as follows. 62BT3/~  
4. In this paper, we shall first briefly introduce fuzzy sets and related !C ]5_  
concepts fL-lx-~  
5. To begin with we will provide a brief background on the K[{hh;7  
Introduction ~^Ceru"<  
1. This will be followed by a description of the fuzzy nature of the #yPQt!  
problem and a detailed presentation of how the required r2dU>U*:4  
membership functions are defined. (@wgNA-P  
2. Details on xx and xx are discussed in later sections. ^!a4!DGVT  
3. In the next section, after a statement of the basic problem, various vlW521  
situations involving possibility knowledge are investigated: first, an H{yUKZH*  
entirely possibility model is proposed; then the cases of a fuzzy  \_GG 6  
service time with stochastic arrivals and non-fuzzy service rule is ,v^A;,q  
studied; lastly, fuzzy service rule are considered. ::goqajV  
Review OO$YwOKS  
1. This review is followed by an introduction. 0Ncx':]5  
2. A brief summary of some of the relevant concepts in xxx and xxx is !UPKy$  
presented in Section 2. 7\;4 d4u  
3. In the next section, a brief review of the .... is given. ]{.iv_I  
4. In the next section, a short review of ... is given with special regard Dt#( fuk#  
to ... C0O$iWs=  
5. Section 2 reviews relevant research related to xx. q7#4e?1  
6. Section 1.1 briefly surveys the motivation for a methodology of s:O8dL /  
action, while 1.2 looks at the difficulties posed by the complexity of z*oe ho  
systems and outlines the need for development of possibility ;#)vw;XR  
methods. J]AkWEiCJ  
Body :abpht  
1. Section 1 defines the notion of robustness, and argues for its uge~*S  
S'  <X)  
importance. G~ONHXL  
2. Section 1 devoted to the basic aspects of the FLC decision-making : q>uj5%  
logic. $wm.,Vb  
3. Section 2 gives the background of the problem which includes xxx .EfGL _  
4. Section 2 discusses some problems with and approaches to, S Bo i|  
natural language understanding. 8V?*Bz-4`  
5. Section 2 explains how flexibility which often ... can be expressed 7*MjQzg-P  
in terms of fuzzy time-window F'^y?UP[  
6. Section 3 discusses the aspects of fuzzy set theory that are used in B]nu \!  
the ... -s_=4U,  
7. Section 3 describes the system itself in a general way, including IW>\\&pJ  
the ….. and also discusses how to evaluate system performance. Hw\hTTK  
8. Section 3 describes a new measure of xx. Fs_zNN  
9. Section 3 demonstrates the use of fuzzy possibility theory in the Xw'Y &!z  
analysis of xx. V9\y*6#Y,  
10. Section 3 is a fine description of fuzzy formulation of human P3_ &(  
decision. H1or,>GoO  
11. Section 3 is developed to the modeling and processing of fuzzy ( L 8V)1N  
decision rules pKzrdw-!  
12. The main idea of the FLC is described in Section 3 while Section 4 yyv<MSU8  
describes the xx strategies. jQ X9KwSP  
13. Section 3 and 4 show experimental studies for verifying the k:0nj!^4w>  
proposed model. 3;er.SFu{  
14. Section 4 discusses a previous fuzzy set-based approach to cost WW3! ,ln_  
variance investigation. cHw-;  
15. Section 4 gives a specific example of xxx. cS;O]>/5  
16. Section 4 is the experimental study to make a fuzzy model of eCy]ugsi%  
memory process. b l]YPx8  
17. Section 4 contains a discussion of the implication of the results of @D2KDV3'  
Section 2 and 3. "*oN~&flc  
18. Section 4 applies this fuzzy measure to the analysis of xx and J?[}h&otQ  
illustrate its use on experimental data. 2`cVi"U  
19. Section 5 presents the primary results of the paper: a fuzzy set | n %<p  
model .. VK/i5yT5N  
39 Zs  
20. Section 5 contains some conclusions plus some ideas for further G}0fk]%\:  
work. [+ N 5  
21. Section 6 illustrates the model with an example. tbq_ Rg7s  
22. Various ways of justification and the reasons for their choice are ^#,cWG}z  
discussed very briefly in Section 2. Xb5 $ijH  
23. In Section 2 are presented the block diagram expression of a I3D#wXW  
whole model ]zR,Y= #  
of human DM system F<^93a9  
24. In Section 2 we shall list a collection of basic assumptions which QAK.Qk?Qu  
a ... scheme must satisfy.  i'NN  
25. In Section 2 of this paper, we present representation and *N?y<U  
uniqueness theorems for the fundamental measurement of fuzziness T7!=KE_z  
when the domain of discourse is order-dense. Bl8&g]dk  
26. In Section 3, we describe the preliminary results of an empirical MESPfS+  
study ^><B5A>;  
currently in progress to verify the measurement model and to `<kV)d%xEF  
construct membership functions. G9uWn% 5r  
27. In Section 5 is analyzed the inference process through the two oO)KhA? y  
kinds of inference experiments... DozC>  
This Section tf@x}  
1. In this section, the characteristics and environment under which Y2Y!^A89  
MRP is designed are described. qnZ`]?  
2. We will provide in this section basic terminologies and notations vXi}B  
which are necessary for the understanding of subsequent results. rO`n S<G  
Next Section S.Fip _  
2. The next section describes the mathematics that goes into the % 1p4K)  
computer implementation of such fuzzy logic statements. X@7K#@5  
3. However, it is cumbersome for this purpose and in practical H9Pe,eHs  
applications the formulae were rearranged and simplified as XT5Vo  
discussed in the next section. <AB.`["  
4. The three components will be described in the next two section, UW[{Y|oE  
and an example of xx analysis of a computer information system will b!' bu  
!OJSQB,  
then illustrate their use. UVD::  
5. We can interpret the results of Experiments I and II as in the 5}4MXI4  
following sections. 5B<G;if,  
6. The next section summarizes the method in a from that is useful =w.#j-jR  
for arguments based on xx h;KI2k_^  
Summary B&m?3w  
1. This paper concludes with a discussion of future research uXNf)?MpA  
consideration in section 5. =;3|?J0=  
2. Section 5 summarizes the results of this investigation. 8&=+Mw  
3. Section 5 gives the conclusions and future directions of research. ~j\/3;^s   
4. Section 7 provides a summary and a discussion of some extensions lC1X9Op  
of the paper. GSW{h[Op  
5. Finally, conclusions and future work are summarized 1*r {%6  
6. The basic questions posed above are then discussed and lm&C!{K  
conclusions are drawn. uu>[WFh  
7. Section 7 is the conclusion of the paper. ]~(Ipz2NP  
Chapter 0. Abstract =fHt|}.K  
1. A basic problem in the design of xx is presented by the choice of a Z<r&- !z  
xx rate for the measurement of experimental variables. kx1-.~)p(z  
2. This paper examines a new measure of xx in xx based on fuzzy r\[HR ^`  
mathematics which overcomes the difficulties found in other xx BsB}noN}  
measures. |U^ ff^]  
3. This paper describes a system for the analysis of the xx. hP,1;`[1  
4. The method involves the construction of xx from fuzzy relations. #IBBaxOk  
5. The procedure is useful in analyzing how groups reach a decision. zPV/{)S  
6. The technique used is to employ a newly developed and versatile jVRd[  
xx algorithm. f8?K_K;\   
7. The usefulness of xx is also considered. .(S,dG0P  
8. A brief methodology used in xx is discussed. ~N'KIP[W  
9. The analysis is useful in xx and xx problem. z4-AOTo2y  
10. A model is developed for a xx analysis using fuzzy matrices. I/WnF"yP  
11. Algorithms to combine these estimates and produce a xx are [1nI%/</>  
&9s6p6 eb  
presented and justified. ']vX  
12. The use of the method is discussed and an example is given. )X^nzhZ2O"  
13. Results of an experimental applications of this xx analysis =,@SZsM*B  
procedure are given to illustrate the proposed technique. I;-{#OE,  
14. This paper analyses problems in o3WkbMJWM  
15. This paper outlines the functions carried out by ... m'qMcCE  
16. This paper includes an illustration of the ... \R-u+ci$ZY  
17. This paper provides an overview and information useful for Z@ws,f^e  
approaching N'`*#UI+  
18. Emphasis is placed on the construction of a criterion function by &6\rKOsn  
which the xx in achieving a hierarchical system of objectives are iqoPD4A  
evaluated. t'Q48QAb?  
19. The main emphasis is placed on the problem of xx C6P6hJm  
20. Our proposed model is verified through experimental study. ;%jt;Xv9  
21. The experimental results reveal interesting examples of fuzzy ixS78KIr  
phases of: xx, xx 4_"ZSVq]#  
22. The compatibility of a project in terms of cost, and xx are likewise ev?>Nq+Z  
represented by linguistic variables. QHM39Eu]  
23. A didactic example is included to illustrate the computational kv5Qxj}  
procedure ^2??]R&Q  
Chapter 1. Introduction g]ihwm~  
Time 'QV 4 = h`  
1. Over the course of the past 30 years, .. has emerged form intuitive WWO jyj  
2. Technological revolutions have recently hit the industrial world !c&^b@ yw  
3. The advent of ... systems for has had a significant impact on the uVO9r-O8p  
4. The development of ... is explored & aLR'*]6  
5. During the past decade, the theory of fuzzy sets has developed in a ?)X@4Jem  
variety of directions Ww p^dx`!  
6.The concept of xx was investigated quite intensively in recent years -?(RoWv@X&  
7. There has been a turning point in ... methodology in accordance @ 3@%9E  
with the advent of ... }n=NHHtJ  
8. A major concern in ... today is to continue to improve... Gt%kok  
9. A xx is a latecomer in the part representation arena. `WB|h)Y  
S&Sf}uK  
10. At the time of this writing, there is still no standard way of xx 7h<K)aT  
11. Although a lot of effort is being spent on improving these b?$09,{0  
weaknesses, the efficient and effective method has yet to be 3q>"#+R.t  
developed. xr/ k.Fz  
12. The pioneer work can be traced to xx [1965]. J53;w:O  
13. To date, none of the methods developed is perfect and all are far }';& 0p2Z  
from ready to be used in commercial systems. qcot T\rq  
Objective / Goal / Purpose kC0!`$<2f)  
1. The purpose of the inference engine can be outlined as follows: Y '5ck(  
2. The ultimate goal of the xx system is to allow the non-experts to .9xGLmg  
utilize the existing knowledge in the area of manual handling of loads, fUL"fMoU  
and to provide intelligent, computer-aided instruction for xxx. +Xp;T`,v  
3. The paper concerns the development of a xx ~c^-DAgB  
4. The scope of this research lies in +XE21hb   
5. The main theme of the paper is the application of rule-based $-RhCnE  
decision making. IMZKlU3  
6. These objectives are to be met with such thoroughness and ^ztf:'l@C  
confidence as to permit ... o^?{j*)g  
7. The objectives of the ... operations study are as follows: fq|2E&&v  
8. The primary purpose/consideration/objective of DR /)hAE  
9. The ultimate goal of this concept is to provide }WbN)  
10. The main objective of such a ... system is to 1Tq$E[  
11. The aim of this paper is to provide methods to construct such v~\45eEA  
probability distribution. qt(:bEr^6b  
12. In order to achieve these objectives, an xx must meet the 1l_}O1  
following requirements: }gW/heUE  
13. In order to take advantage of their similarity =T)2wcXBB  
14. more research is still required before final goal of ... can be ,[\(U!Z7:%  
completed [,^dM:E/  
15. In this trial, the objective is to generate... F9\Ot^~  
16. for the sake of concentrating on ... research issues (J&Xo.<Z-  
17. A major goal of this report is to extend the utilization of a recently <o+ 7U  
developed procedure for the xx. fWyDWU  
!&O/7ywe  
18. For an illustrative purpose, four well-known OR problems are nZCpT |M5  
studied in presence of fuzzy data: xx. 1H =wl =K  
19. A major thrust of the paper is to discuss approaches and o%%x'uC  
strategies for structuring ..methods rR@n> Xx  
20. This illustration points out the need to specify ?d<:V.1U@  
21. The ultimate goal is both descriptive and prescriptive. AvE^ F1  
22. Chapter 2. Literature Review |OZ>/l {  
23. A wealth of information is to be found in the statistics literature, df6&Nu;4L  
for example, regarding xx I ~L Q1 _  
24. A considerable amount of research has been done .. during the N!BOq`#da  
last decade BG:`Fq"T  
25. A great number of studies report on the treatment of = 6<w'>  
uncertainties associated with xx. sNfb %r  
26. There is considerable amount of literature on planning ]ZGvRA&  
27. However, these studies do not provide much attention to E#$_uZ4  
uncertainty in xx. o+-Ge J  
28. Since then, the subject has been extensively explored and it is |M<.O~|D6}  
still under investigation as well in methodological aspects as in ZqbM%(=z(`  
concrete applications. xrVZxK:!  
29. Many research studies have been carried out on this topic. RA/ =w&  
30. Problem of xx draws recently more and more attention of system 7lDaok  
analysis. uP{+?#a_-\  
31. Attempts to resolve this dilemma have resulted in the 3 9T&c85  
development of 7 Mki?EG  
32. Many complex processes unfortunately, do not yield to this "UoCT7X  
design procedure and have, therefore, not yet been automated. pm W6~%}*  
33. Most of the methods developed so far are deterministic and /or QE#-A@c  
probabilistic in nature. hw ;dm  
34. The central issue in all these studies is to <Xs @ \  
35. The problem of xx has been studied by other investigators, F 0BOhlK  
however, these studies have been based upon classical statistical iTug vb  
approaches. @0UwI%.  
36. Applied ... techniques to +wz` _i)!  
37. Characterized the ... system as c ;21i;&,9  
BBU84s[  
38. Developed an algorithm to |,a%z-l  
39. Developed a system called ... which qN1e{T8u  
40. Uses an iterative algorithm to deduce &Qtp"#{  
41. Emphasized the need to dWW-tHv#  
42. Identifies six key issues surrounding high technology nz&b5Xb2  
43. A comprehensive study of the... has been undertaken v E3{H  
44. Much work has been reported recently in these filed cy&  
45. Proposed/Presented/State that/Described/Illustrated/ hpqHllL  
Indicated/Has shown / showed/Address/Highlights a8bX"#OR&N  
46. Point out that the problem of pu2wEQ  
47. A study on ...was done / developed by []  \]f5  
48. Previous work, such as [] and [], deal only with (s V]UGrZ  
49. The approach taken by [] is 2rR@2Vsw2  
50. The system developed by [] consists w!B,kqTG  
51. A paper relevant to this research was published by [] 45r]wT(C   
52. []'s model requires consideration of... jlRl2 #"  
53. []' model draws attention to evolution in human development pjX%LsX\  
54. []'s model focuses on... `eMrP`  
55. Little research has been conducted in applying ... to nJldz;  
56. The published information that is relevant to this research... .\ ;l-U  
57. This study further shows that {dy` %It  
58. Their work is based on the principle of :Bx+WW&P.i  
59. More history of ... can be found in xx et al. [1979]. B&%L`v2[  
60. Studies have been completed to established =1 {H Sf  
61. The ...studies indicated that J+/}K>2#  
62. Though application of xx in the filed of xx has proliferated in lgCHGv2@  
recent years, effort in analyzing xx, especially xx, is lacking. EFa{O`_@U  
Problem / Issue / Question T=eT^?v  
63. Unfortunately, real-world engineering problems such as D_l/Gxdpr  
manufacturing planning do not fit well with this narrowly defined wq:b j=j  
model. They tend to span broad activities and require consideration N<L$gw+)$D  
of multiple aspects. _qC+'RE3  
64. Remedy / solve / alleviate these problems -,K*~ z.l  
67. ... is a difficult problem, yet to be adequately resolved E<D+)A  
t/v@vJ`vSH  
68. Two major problems have yet to be addressed im_w+h%^  
69. An unanswered question jHkyF`<+  
70. This problem in essence involves using x to obtain a solution. SBCL1aM  
71. An additional research issue to be tackled is .... |QnUK5D$  
72. Some important issues in developing a ... system are discussed #W>x \  
73. The three prime issues can be summarized: X0^zw^2W  
74. The situation leads to the problem of how to determine the ... uuI3NAi~  
75. There have been many attempts to L]c 8d   
76. It is expected to be serious barrier to [=XZza.z  
77. It offers a simple solution in a limited domain for a complex ]}nu9z<  
problem. C!$Xv&"r  
1. There are several ways to get around this problem. 7,pje j  
2. As difficult as it seems to be, xx is by no means new. pd=7^"[};  
3. The problem is to recognize xx from a design representation. A m2*-  
4. A xx problem can trace its roots to xx. <h'8w  
5. xx [1987] used a heuristic approach to simplify the complexity of 8pX f T%]  
the problem. Eem 2qKj  
6. Several problems are associated with them. P/FrE ~  
7. Although some progress has been made in this area, at least two i0ILb/LS  
major obstacles must be overcome before a fully automated system i{<8 hLO  
can be realized. dj? G.-  
8. Most problems in practice are complicated EwTS!gL  
9. More problem surface here. 4qqF v?O[r  
10. Hamper effort toward a xx system @; W<dJ<X  
11. In order to overcome the limitations due to incomplete and c}YJqhk0J  
imprecise xx knowledge, a xx program has been developed, which xg(<oDn+\  
bases its knowledge upon the statistical analysis of a sample OZ eiH X!  
population of xx Xyb8u})p'  
12. The above difficulties are real challenges faced by researchers 8&i;hZm  
attempting to develop G=vN;e_$_b  
13. This type of mapping raises no controversy to the issue of A$/KP\0Y2  
membership function determination. @8|~+y8,  
14. However, attempts to quantify the xx have met both theoretical >r~0SMQr  
and empirical problems. rU],J!LF  
:RPVT,O}  
15. It has become apparent that in order to apply this new {PL,VY)Z  
methodological framework to real-world problems and data, we have SO7(K5H,  
to pay attention to the problems of xx and xx. &Y 'z?N  
Chapter 3. Proposed methodology ]OU D5T  
Assumption 6KVV z/  
1. In the case when the assumption of a xx seems to be too OE6#YT  
restrictive or inadequate, the formulation with Fuzzy termination 6 tX.(/+L  
time, i.e. given by a fuzzy set in the space of control stages, may be bG52s  
applied. m^ z,,t9  
2. We assume here the fuzzy constraints to be state-dependent, and Lg8 ]dBXu  
the fuzzy goal to be the same for all the control states, xx, which 6e zcS}:+  
stems from the problem's nature. yz2(_@R  
3. An approach to the solution of this problem is presented under the R;%^ j=Q  
assumption that the sampling rate Decision can be made prior to the !!9{U%s  
execution of the experiment, as opposed to being made while the  j|ozGO  
experiment is in progress. vnDmFqel z  
4. Another assumption made above is that there are precise odds at ) 9xX  
which the expert is indifferent. c$/<l5Uw  
5. Main simplifying assumptions are: '\@WN]  
6. This, in our view, is a questionable assumption. Q Qi@>v|d  
Outline / Structure / Module B+|IZoR  
1. An outline of the research  -W9gH  
2. Information is incorporated within the scheme $-Cy  
3. Is built into ... structure iFSJ4 W(  
4. A nice modular structure. JXL'\De ;  
5. The principles of ... are applied as modularized criteria ; >5,  
Classification z[*zuo  
1. A xx system comprises three main components: G<|:605  
2. Must decompose the original .. into a set of .. /Ad6+cY  
3. Consists of the following steps: { b[tA, >  
4. This is summarized in the following steps: ) ]3L/  
2HSb.&7-G  
5. Can be broadly classified into the following areas: Q]^Yi1PbS  
6. Can be characterized by its function of effectively processing the sx:Hv1d  
7. Can allow further breadth of application of ...into more 4AuH1m)<  
8. The following steps should be followed v O PMgEI  
9. xx can be classified by a different ways. ;|;iCaD a+  
10. Based on the xx, one may classify xx into the following: u|T%Xy=LU  
11. This catalog may change due to wear, breakage, and purchasing. :1*zr  
System Hl/7(FJqc>  
1. Unlike many conventional program, expert systems do not !8o\.uyi  
usually deal with problem for which there is clearly a right or wrong (m/aV  
answer. &/iFnYVhy  
2. The system consists of both ... and ... %Sul4: D#  
3. The system has a hierarchical modular architecture organized on YroNpu]s  
three levels. 6W$rY] h!  
4. expert system domains are area of expertise HZ{n&iJ  
5. To develop a xx system for xx, the following factors must be &lq^dFP&Su  
considered: VcrVaBw  
6. The system has been developed / designed to determine 6Etss!_  
7. The system has proven to be able to f0u56I9  
8. The domain in which an expert system operates is a particular ljuNs@q  
domain F(; jM(  
9. The system comprises a ... with nGns}\!7'  
10. The system is [feature-oriented ] / based on the ... technique 8?kP*tmcZ  
11. The system environment must be relatively stable 1 #q^uqO0  
12. The system is utilized to generate, load, store, update and s%^o*LQ|9  
retrieve ... McP~}"!^  
13. The development of a xx system has two stages: xx stage and xx 6e<^o H  
stage. 6{8/P'@/Zz  
14. The most essential part of .. system is the ... x2@,9OUx  
15. The successful developments in ESs have made them an %Ci^*zb  
important tool in the development of M!# AfIyB  
16. An automated system was developed for <}]{~y  
17. In this case, the system can be considered to be generative. t$5jx  
 VGB-h'  
18. An interactive automatic ... system a*s\Em7f  
19. A …. is commonly thought of as a truly integrated .. system =U c$D*  
20. Should be capable of being generated from a ... system f1J %]g!  
21. xx is an important part of the integrated system. V_f`0\[x  
22. The model consists of four rule bases, each of which addresses a +9C;<f  
separate problem in the hierarchy of scheduling decision. PtqGX=u  
23. The rule bases are linked to each other in a chin-like manner in `s%QeAde  
the sense that the consequent of one rule base constitutes a part of ABZ06S/  
the antecedent of the next rule base. ,VWGq@o%  
24. The rule base consists of all possible combinations of the O|7yP30?M  
linguistic terms associated with the linguistic variable of the Cg3ODfe  
antecedent of a rule. wV:C<Mg7q  
Computer System 2( _=SfQ  
1. The system has been implemented using Prolog language in an ;ctU&`  
MS-DOS environment. Prolog was chosen because it offers a well B2(,~^39  
known and flexible environment in which fuzzy reasoning may be LABNj{=D!  
easily implemented. yd*3)6=  
2. The current version of the xx program when compiled with ?:/|d\,7@  
WATFOR77 results in an executable code of about 270K bytes. n_9x"m$  
Typical run time, when run on a XX computer (an IBM compatible Yf= FeH7"  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min 8gI\zgS  
to 2h, depending on the size (or complexity) of the problem. /WYh[XKe  
3. Time consuming procedures have been implemented in az2X ch]  
C-language and directly linked to the Prolog environment. ,E9d\+j  
4. The xx process, once the xx's data has been entered, requires W+hV9  
approximately 180 seconds. o%qkqK1  
5. It should be noted that the computation was done with a 20 Hhz, ^mfjn-=3  
80386..209;based microcomputer equipped with a 80387 math " '[hr$h3  
co-processor. $:;%bjSI   
6. The computer programs used for the analyses, one based on the xx IT&i,`cJ~F  
method and the other based on the new method, were written in TVeJ6  
FORTRAN with a compiler that supports the math co-processor. u *2JUI*  
7. Lisp, Prolog give maximum flexibility but also maximizes ve-8*Xa  
]nc2/S%  
development time. 61|B]ei/  
l Internal representation is the way a model is represented in the -l[ jEJS}  
computer.  C0<YH "  
l An interactive menu-driven procedure is used in this study *~;8N|4<  
l Shell can be develop very fast at the cost of time fairly severe {:)vwUe{  
limitations. lD3)TAW@ o  
l While there is no measurable saving of time for the case involving I4~^TrznRa  
five criteria, the saving is dramatic for the case involving 10 criteria PpFsp( )x  
-- the computation time reduces from 10 hr 40 min to about 1 min. f[}|rf  
l This combination is being implemented in an objected-oriented t:T?7-XIE  
programming environment (Smalltalk-80 system) to solve problems Hg whe=P  
encountered in construction xxx. Kj!Y K~~  
Method / Approach / Study / Process Model / Equation /Algorithm / 2-s7cXs  
Rule / Formula / Technique S&01SX6  
l A discussion is presented of a problem-solving system 85hQk+Bu4  
l To improve the efficiency of the method, the following approach &CUC{t$VHX  
may be applied. )&z4_l8`=  
l In order to an investigation was made to find the causes of the q^]tyU!w  
l Although large collections of rules and equations have been fYn{QS?  
complied, none are generally accepted B1+ZFQo  
l This approach will be explained and discussed thoroughly in the ^#w{/C/n  
body of the report. HamEIL-l.  
l This can be accomplished by T.2ZBG ~|[  
l This algorithm to compute the total cost can be described step by !.X _/$c  
step as follows: :t5uDKZ_j)  
l The above preliminary analysis has provided important !-RwB@\  
information Mr.JLW  
l Various methods have been proposed for selecting an optimum... LU( %K{9  
l These concepts have been applied to lM+ xU;  
l On the basis of the concept mentioned above, {,Fcd(MU  
l This can be achieved by .+vd6Uc5a  
l This fact suggests that a new concept %A2`&:ip  
l This was accomplished by taking ... 1 7i$8  
a[i>;0  
l The preparatory stage is very time consuming process. Y-]YDXrPQ  
l Test are performed for validity, completeness, and compatibility `#U ]iwW!  
l There is little hope of achieving successful ... R+F,H`  
l There has been an increasing awareness of the potential of using uP Rl[tS0  
most ..so far made have not taken this approach, with the exception [ro t  
of pZ\$50t&O  
l Only a few studies can be found. 3&9zGy{V+  
l It is a very tedious process to go through JT#7yetk'  
l It is only when .. has been completed that .. may be effected esteFLm`6  
l The entire interpretation process is conducted in one's head. Wvb Eh|y  
l These approaches are sometimes very tedious. 6WO7+M;z  
l Several techniques can be used *`1bc'umM;  
l A polynomial parametric model can be written as [the |K)p]i+  
following]/[follows]: wI>h%y-%!  
l A xx model is constructed/formulated using xx. {NV :|M!  
l A xx model represents an xx by its xx. $W*|~}F/Ap  
l A process decision model captures the logic essential to EIPnm%{1  
l From the equation above, xx is equal to the summation of xx lvx]jd\  
times the ... {=6)SBjf  
l The validity of a xx model can be checked using Euler's formula. P>fKX2eQ-  
l Given a model, one can mathematically determine whether ... or ... sxk*$jO[]  
l Equations for xx need to be derived and implemented in the o~k;D{Snr  
system. }>,CUz  
l A number of heuristic rules have been developed for #EFMgQO  
l Optimum .. techniques can be made more reliable by ... so that )6 k1 P  
l An algorithm based on the characteristic ... is used to determine dxntGH< O  
l Euler's formula states the following: )gjGG8 Ee  
l The completed model should agree with the formula. IW mHp]  
l For manufacturing purposes, a detailed and precise model of the +NT:<(;|i5  
object is necessary  +xq=<jy  
l Engineering design models are very well defined; therefore, ^9s"FdB]24  
l To keep the domain narrow enough to be implementable, yet wide /0l-mfRr  
enough to }|,EU!nDi  
be useful. &#Wkww&Y  
#.b^E3#+  
Point of View i j!*CTG  
l from an implementation standpoint, x~nQm]@`h  
l From the point of view of this application, g/6nw a  
l From this point of view, Zadeh suggested an inference rule named cT I,1U  
xxx (CRI for short). 5/k)\`  
l Information is the meaningful interpretation and correlation of \3M1.Q4$Gr  
some aggregation of data in order to allow one to make decisions. @ E >eq.m  
l From a practical point of view, the computational aspects of an (%.</|u  
FLC require a simplification of the fuzzy control algorithm. [1mIdwS  
l The use of a hammer to insert screws, although partly effective, 4sI3(z)9H  
tends to distort, destroy, and generally defeat the purpose of using a |KTpK(6p  
screw [Kusiak AI Implications for CIM p.129] WVinP(#nfM  
Justification z(#= tC|  
l We choose the so called xx in our experiment because it has q;KshpfRMD  
received wide acceptance and can O-?z' @5cI  
l Prolog was chosen because it offers a well known and flexible EmF]W+!z%  
environment in which fuzzy reasoning may be easily implemented. "i}Z(_7yr  
l The rationale behind this is that it can be much easier for an [9w, WJL  
estimator to rate a cost as high than to attempt to place a dollar py}.00it  
value on the estimate. 2Qw )-EB  
l This strategy has been widely used in fuzzy control applications xcsFODx~  
since it is natural and easy to implement. N"&$b_u[  
l A function definition expresses the membership function of a MM=W9#  
fuzzy set in a functional form, typically a bell-shaped function, etc. )H.ubM1  
Such functions are used in FLC because they lead themselves to >aX:gN  
manipulation through the use of fuzzy arithmetic. 4S^  
l It should be noted that in our daily life most of the information on nl.~^CP  
which our decisions are based is linguistic rather than numerical in 2Zv,K-G  
nature. Seen in this perspective, fuzzy control rules provide a natural XB6N[E  
framework for the characterization of human behavior and decisions XCKY xv&  
analysis. h4J{jh.  
l Many experts have found that fuzzy control rules provide a S(@*3]!q  
kyp U&F  
convenient way to express their domain knowledge. This explains c _R)P,P  
why most FLCs are based on the knowledge and experience which i=,B88ko  
are expressed in the language of fuzzy "if-the" rule. p,3go[9X:R  
Chapter 4. Examples ;LwFbkOuU  
Example/ Data <K|3Q'(S  
l The data used in the following example was taken from an oHYD_8'f  
experiment in which xx was measured between x and x using a xx uzat."`d'  
technique. !7kAJG g  
l The data consists of over xx measurements. Dx p>  
l An example of xx is discussed and the control rules of xx are Qi(e`(,'  
compared with a xx ]1YYrgi7  
l Examples of complex processes to which this technique may be G2U5[\  
applied are xx, xx, etc. Hsd|ka$x>  
l The following example is constructed only for the purpose of 3fbD"gL  
illustrating the computational procedure discussed. WHhR )$zC  
l This example clearly demonstrates that the profile of an individual o|b[(t$;O  
xx, or a very small group of xx, with no enough data to be studied ;] l{D}  
statistically, can be meaningfully analyzed by fuzzy possibilistic ' 91u q  
methods. %XDip]+rb  
l There is no space here to go into detail on all these methods, but es*_Oo1  
deserve a mention and the bibliography will point to detailed IPr*pQ{;c  
references for those wishing this level of detail. rFt,36#  
l Note that the golf ball spotting example is used throughout the c_D,MW\IC  
paper. ,=q7}5o Y  
Comparisons ?%8})^Dd>4  
l As well, the pros and cons of these representations from a process >8F{lbEe  
planning point of view will be discussed. g4.'T51  
l The method of using xx to implement xx described by Zadeh iuH8g  
(1973) appeared more suitable ],fwZd[t  
l As discussed [in the previous section]/[preciously], %~8](]p  
mZ& \3m=  
Relation toYg$IV  
l We can not invert F' directly because it defines a many-to-one Z<,CzKs+||  
mapping. RT_Pd\(qD  
l The relationships appear very complicate I/ e2,  
l Lifting tasks involve complex and imprecise relationship between &EbD.>Ci  
the task variables and the human operator's characteristics. h Vt+%tmNy  
l These methods are based on the relationship between ... and ... 99+/W*C  
l The fundamental concept of a fuzzy rating language is that we can c}I8!*\  
establish a relationship among terms such as high, medium, and low, 4E>/*F!  
and then modify these relationships. v|,[5IY  
l This article will thus mention the latter as well as the former. ^S;RX*  
l The former two bear a close relation to a fuzzy Cartesian product. 9-Nq[i"  
Importance [/fwt!  
l The emphasis is on an implementation of a general approach to y uK5r  
rule based decision making. +(h6{e%)  
Consideration / Attention <>5:u  
l Careful evaluation is necessary to ensure G~iYF(:&  
l Such a formulation does not change further considerations. ;o)`9<es!2  
l Considerable attention has been paid to a@a1 TpLQ  
l Attention should be paid to an important finding of this ~"<VUJ=Ly:  
investigation. +<9q]V  
l Caution should be exercised in this process to avoid ... /NN[gz  
l Primary consideration is given to ... components, though others Rcx'a:k  
can be accommodated J^+$L"K  
l After ... has been defined by ..., a carefully analysis is carried >-@{vyoOy  
out/performed to determine YV_I-l0  
l A number of factors such as ...need to be taken into consideration w2C!>fJ]1  
before making the appropriate decision. YI\Cs=T/  
l It should be noted that X#NeB>~  
l It is important to point out that ... r|H!s,  
l These considerations have heightened interest in the possibility of aXid;v,  
providing ... <+1w' -  
q$2taG}  
l We should stress the fundamental importance of the xx OD@A+"  
Chapter 5. Results. }${ZI  
Advantages / Disadvantage !CMVZf;u  
l One of the major advantages of this new measure of xx is that it Ckl]fy@D}  
can be applied to the experimental study of )yH#*~X_   
l One advantage of using a .. is the ease of preparing it. ^~1@HcJo  
l The xx system is versatile +7vh__  
l It has a very fast decision making process @_(@s*4W  
l All the algorithms involve mostly logical operations. )Jjw}}$}Y  
l It can be easily and without additional cost implemented in a )mZy>45  
microprocessor-based environment. h|>n3-k|p  
l It can reduce the waste of designing from scratch. $bC!T  
l The advantages of using a xx to represent xx are the following: *oJ>4S  
l However, xx is not without its shortcomings. {]m e?I  
l In most cases, the xxx shows an improvement over the existing ez9M]! 8Lt  
xxx. ?[fl$EG  
l Compared to the existing xx, the impacts of the xx are generally #7:9XID /  
reduced by 5% to 9%. >0okb3+  
l The "best case" results shows a savings of 6% to 9%. R =c  
l Most of the existing works based on xx approach can only xF>w r r  
recognize a xx . ]vyF&`phb  
l Most of the above methods are computational expansive and }z 2-|"H  
limited to xx. \z?;6A  
l Some other advantages of xx are the following: rca"q[,  
l The problem is the limitation of this method to a limited domain of BTQC1;;N  
parts. U"G+su->e  
l It proved limited in application because it demanded precision in (NV=YX?s  
system modeling that was impossible in practice. vK>^#b3  
l There are advantages to be gained in the structuring of costs and XD>@EYN<X  
benefits, the use of xx, Jg6[/7*m  
l The disadvantages of this method are also disadvantages of |#kf.kN  
conventional xx approaches. EqU[mqeF  
P9!]<so  
l This combines the best features of both techniques !@ '2  
l Hopefully, this tool can be as the reference framework of for R63d `W  
developing a xx platform, and helping the administration, marketing, srA ~gzF  
and knowledge management activities in virtual communities. };sm8P{M  
Results s*WfRY*=V  
l An improvement on the result shown above can be made by based 6Ky"4\e  
on the data provided gJv^v`X  
l Discussion of these theories is beyond the scope of this review pLcng[  
l Based on the information contained in this !XC7F UO  
l The result can be categorized into nine classes n-.k&B{a  
l The results are illustrated by an example aE$p;I  
l The experimental results for each xx time are reported in Table 2. g >oLc6T  
l From the results obtained so far, it seem that nClU 5  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn C5 !n {  
as ".Ug A\0  
l Although much effort has been made to., this reality is far from Zt=X %M|aw  
completion. Cu7iHhY5  
l The results indicate that the total benefits are higher than the F,:VL*.5kJ  
total costs. +w5?{J  
l Their results may then serve as guidelines for lower level models, s1q d/  
less fuzzy and more detailed. 1vb0G ;a;|  
Chapter 6. Conclusion R/|o?qTrj  
l From the discussion, one may conclude that ... `,"Jc<R7Z  
l Form the above discussion, the conclusion can be reached that i[n 1}E.@  
l The conclusions drawn are also valid &y+eE?j  
l In conclusion to this, it becomes obvious that the problem of xx 2S/7f:  
lies not only in... F6/bq/s  
l We have attempted to introduce some concepts associated with a 7h~M&\M  
theory of jL$X3QS:  
xx based on fuzzy sets. x.RZ!V-  
l Considerable more work, hopefully, will be done in this area M}u2aW2]X  
l A fuzzy set procedure is proposed to solve xx selection problems E{J;-+t  
fM{Vy])J  
interwoven with imprecise data zx*f*L,6F  
l Employing the compositional rule of inference, the assessment of [R$4n- $  
the xx compatibility in achieving prescribed xx projectiles in any T /uu='3  
level of the hierarchy is made possible.  !;-x]_  
l This paper has presented a theoretical and experimental study of _QY "#  
the xx process and xx concept. cW\7yZh  
l The experimental research results will hopefully serve as useful !Fi)-o  
feedback information for improvements for xx work. HZNX1aQ|Q#  
l The scope of this contribution was to introduce a xx method. zFI bCv8  
l In general, fuzzy sets theory provides an alternative foundation qI}Zg)q]  
for xx analysis in a fuzzy environment. 6822 xk  
Future Research "$_ypgRrSR  
l Thus, first extension of the approach could be, bmLNR  
l Present some cues for a further approach from Fuzzy Sets Theory )I@iW\`7  
application to [Pay<]c6g  
l Some improvements to the scheduling aspect of the model may n~Ix8|S h  
be brought through additional levels in the hierarchy for more f 36r U  
detailed representation of the scheduling activity. We|*s2!  
Tables and Figures K^+B"  
l Figure 7-1 sketches these relationships. !?96P|G  
l The graphical representation of these functions is shown in Figure HhO$`YZ%>  
1. 2mRso.Ah  
l The xx may be depicted as in Figure 1. #AHIlUH"m  
l Figure x shows the schematic diagram of the zI(Pti  
l Figure 1 though 2 provide a ... that V+Z22  
l the architecture of this expert system for .... is illustrated in Figure a[/p(O  
2. F]&9Lp} "  
l Figure 2 gives the outline of an ... system C/XOI >  
l Table shows the xg8<b  
l as shown in Table 1 and 2 A /MOY@%G  
l This concept is illustrated in Figure 2 aPbHrk*/  
l At the top of Table xx are shown two blocks of data. N 4Ym[l  
Rj8l]m6U9  
l Each table or matrix has constructs xx through xx as Y\rKw!u_!  
row-headings, ]2<g"zo0  
xx through xx as column-headings. @{bf]Oc  
l A table of .. is developed and significant recommendations are &CS=*)>$  
made. EV }%D9:  
CONJUGATION )TxhJB5|  
To Indicate Addition dCinbAQ  
l additionally, again, also, and then, as can be easily understood, , vR4x:W  
besides, equally important, especially, finally, for the same reason, yVW)DQ 4?  
first, further, furthermore, in addition, last, likewise, moreover, next, jWm<!< ~  
second, third, too, evidently, obviously, roughly speaking, broadly a^CIJ.P2  
speaking !$O +M#  
To Indicate Cause and Effect y+c+/L8  
l accordingly, as a result, consequently, for this reason, hence, in zfS`@{;F`|  
short, otherwise, then, therefore, thus, truly f\ Qi()  
To indicate Comparison oR5'g7?  
l in a like manner, likewise, similarly , alternatively _- { >e  
To Indicate Concession se_1 wCYz  
l after all, although this may be true, at the same time, even though, /: B!hv pw  
even so , I admit, naturally, of course D&.+Dx^G  
To Indicate Contrast ;0 ,-ywK  
l and yet, at the same time, but, for all that, however, yet, in fact, in 7%C6gU!r  
contrast, in the real life, in spite of, nevertheless, notwithstanding, 9OX&;O+ 5  
normally, on the contrary, on the other hand, still, traditionally, U1I2+;"#A  
rather, unfortunately, SDZ/rC!C  
To Indicate Time Relationships: WxFVbtw  
after a short time, afterwards, as indicated earlier, as long as, as soon li(g?|AD  
GP1b/n3F1  
as, at last, at length, at the moment, at that time, at the same time, kid@*.I  
before, earlier, currently, immediately, in the meantime, in recent X"*pt5B6`  
years, lately, later, meanwhile, often, of late, presently, recently, T$!. :v  
soon, shortly, since, thereupon, temporarily, therefore, until, when, ttgb"Wb%S  
while Nv w'[?m  
To Indicate Special Features or Examples: Z!DGCw  
for example, for instance, incidentally, indeed, in fact, in other words, I~|.Re9a  
in particular, in practice, specifically, that is, to illustrate, in this X$)<>e]!>  
respect, theoretically, as mentioned before / above U8 '}(  
To Indicate Summary: 8a)lrIg  
in brief, in conclusion, in short, in summary, on the whole, to (/JiOg^cw  
conclude (} ?")$.  
, in general, to summarize, to sum up, as a result, ultimately, /d*d'3{c  
VERB PHASE 0sIwU!=vm  
l build a .. model g{RVxGE7  
l build up the key link C8ek{o)%W  
l began a new era in ... l]C#bL>i  
l can be regarded as / achieved / used to/for / found / obtained H85J MPZ7  
through <*oTVl4fS  
l can result in q8#zv_>K  
l carries out ... tasks `)?N7g[\u  
l production information in order to simultaneously /fv;`?~d*  
l contains all information necessary to describe gaV>WF  
l do not make use of production information ZW7z[,tk<.  
l deals with 4h~CDy%_  
l end with failure 4j_\_:$w<  
l fetch the information from the model directly PUcxlD/a}  
l has great potential / yet to be resolved / spurred the P.aN4 9`=  
development of / RqB 8g  
been recognized as []OmztB  
l BE aimed at / built up / carried out by / essentially concerned <<w*_GM  
sBm)D=Kll  
with / considered to be the key technology / associated with each Q ?xA))0  
feature of a compo Y<qWG 8X  
site component / cable of / currently implemented for / ?*LVn~y  
demonstrated by an example / finally reached / made equal to / p?-qlPl  
equivalent to / more suitable to / oriented to / interpreted as / " rA-u)Te  
pointed out / potentially of great benefit in the complex task of / nEHmiG  
shown in / used to effectively guide the search ghU~H4[xD  
l makes use of 6U9F vPJ  
l make up m9 41 Y  
l meets the needs of real life production,/ the current demands ;x.5_Xw{.  
placed upon it iVT)V>Up  
l must be justified z94#:jPmG  
l point out V!\'7-[R  
l play an important role ;&c9!LfP  
l relates to ?[?;%Y  
l rely on w~4T.l#1  
l satisfy the needs [,L>5:T  
l determine the total requirements for the ... vN&(__3((  
l uses ... as a key to search for... |_njN  
l without relying on :'2h0 5R  
l will be available/ performed/ overlooked 1 R,SA:L$  
NOUN PHASE i&^]qL|J  
l a basic technical function of ?U+nR/H:6  
l a critical need _9yW; i-  
l a key / principle feature of f|6 Y  
l a substantial impact on IY hwFw 5O  
l an intensive review was conducted @>*r2=#14  
l an increasing need for expanding the application of .... ~6=aoF5"3?  
l an important component / function / aspect / issue ";jKTk7  
l each rule is numbered in sequence 8.HJoos  
l each of these involves `m}G{jfk  
l for this calculation, it is necessary to define ` ZBOaN^if  
l in the physical environment / integration of vddl9"V)  
s14D(:t(  
l in the reality of situations where … rn]F97v@]  
l many aspects of ,zEPdhTX  
l most past efforts have been spent on ... *4/KK  
l common sense to a well studied and documented technical field. ;OC{B}.vH  
l sources of additional information on ... are listed G<P/COI#M5  
l systematic and rationally structured format >}B53.;.k  
l the basis on which a range of ...operations can be established is @1~cPt   
shown BCO (,k  
l THE basic philosophy / principles of / key element / general a4XK.[O  
hypothesis / candidate list of / concept of ... has attracted wide jX .' G   
interest / function is concerned with / heart / impact / nature / role liBFx6\"S  
/ task of / kernel functions ,#bT  
l the number of parts needed to !D!"ftOm  
l the above statement means that F-XMy>9  
l the output data is passed to <sn,X0W  
l the proposed method / underlying principle }zIWagC6  
l the recommendations made in this report, if implemented, should 0+K<;5"63d  
l this information resides in k(xB%>ns  
l this process is composed of ... different ... operation ZFtJoGaR  
l along with the use of @YVla !5O@  
l concerning general aspects of  /i   
l due to Uu|2!}^T  
l for later use in generating..., %!DTq`F  
l in turn, K+d{R=s^  
l IT IS believed / noted / assumed / suggested / shown / quite Y5y7ONcn  
evident / appears / implies that / intended for / of no important to -v:3#9uX)  
l it can be claimed/concluded that ;I6C`N  
l it demonstrates the decisions required of E2tUL#  
l it also provides information to .. a5(9~. 9  
l it becomes essential to |WNI[49  
l let ... be the probability that %q.5; L  
l once... is written, it is compiled into... 7%&e4'SZO  
l suppose it is observed that 5=fS^]- F  
l this is because ]bbP_n8  
$oJjgAxcZ  
l this results in a ^F- 2tc  
l upon completion of the ... analysis, "Xl"H/3r  
l when the knowledge is of mathematics or quantum physics, it will 3#aLCpVla  
also be ks,d4b=->  
recorded in books and papers *g9VI;X  
l selection of rules for using the tools, for generating operation di ]CYLf  
plans, +i }uRO  
is another matter of preference, since practice varies greatly. 5A%Uv*  
l for the sake of convenience FuAs$;  
l correct decision to be reach KI].T+I  
l keeping the number of rules to a minimum.  .4Mc4 '  
l a good process plan will result exhibiting several characteristics: @y6^/'  
l practical solutions M+)ENv e  
l because of rather small job lot sizes !<F5W <V  
l Backward reasoning can be used to answer the question "should i&<@}:,  
milling tool be select" different level of knowledge in the realm of }h|HT  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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