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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 %ir:AS k  
6x)$ Dl  
6 15s5ZA  
Beginning  ^YdcAHjK  
1. In this paper, we focus on the need for Em 6Qe  
2. This paper proceeds as follow. C:8_m1Y{  
3. The structure of the paper is as follows. ^ci3F<?Q=  
4. In this paper, we shall first briefly introduce fuzzy sets and related ((tv2  
concepts 7pA /   
5. To begin with we will provide a brief background on the %ek'~  
Introduction obrl#(\P  
1. This will be followed by a description of the fuzzy nature of the v[plT2"s  
problem and a detailed presentation of how the required `Q3s4VEC  
membership functions are defined. -<v~snq'  
2. Details on xx and xx are discussed in later sections.  C9 8]9  
3. In the next section, after a statement of the basic problem, various *KY=\ %D  
situations involving possibility knowledge are investigated: first, an AcI,N~~  
entirely possibility model is proposed; then the cases of a fuzzy {!|}=45Z  
service time with stochastic arrivals and non-fuzzy service rule is "8^5>EJ Wv  
studied; lastly, fuzzy service rule are considered. 6hZ@;Q=b  
Review -/{ 4Jf Wf  
1. This review is followed by an introduction. K7Rpr.p  
2. A brief summary of some of the relevant concepts in xxx and xxx is M?b6'd9f  
presented in Section 2. ,Q zL)W7  
3. In the next section, a brief review of the .... is given. ZxV"(\$n  
4. In the next section, a short review of ... is given with special regard %sHF-n5P  
to ... r]3'74j:  
5. Section 2 reviews relevant research related to xx. l]~n3 IK"  
6. Section 1.1 briefly surveys the motivation for a methodology of DvvT?K  
action, while 1.2 looks at the difficulties posed by the complexity of V $z} K  
systems and outlines the need for development of possibility 3^s/bm$g  
methods. 1]orUF&_  
Body kJW N.  
1. Section 1 defines the notion of robustness, and argues for its pv^O"Bs  
=K{\p`?  
importance. EkGQ(fZ1|  
2. Section 1 devoted to the basic aspects of the FLC decision-making "\0v,!@  
logic. PJcwH6m  
3. Section 2 gives the background of the problem which includes xxx 0b4R  
4. Section 2 discusses some problems with and approaches to, ?wnzTbJN  
natural language understanding. 8]&i-VFof  
5. Section 2 explains how flexibility which often ... can be expressed | 9~GM  
in terms of fuzzy time-window aW!@f[%~F  
6. Section 3 discusses the aspects of fuzzy set theory that are used in !"8fdSfg w  
the ... l NQcYv  
7. Section 3 describes the system itself in a general way, including [s&$l G!  
the ….. and also discusses how to evaluate system performance. t |~YEQ  
8. Section 3 describes a new measure of xx. #v<QbA  
9. Section 3 demonstrates the use of fuzzy possibility theory in the keB&Bjd&  
analysis of xx. L#vI=GpL,r  
10. Section 3 is a fine description of fuzzy formulation of human tK&' <tZh  
decision. =0;^(/1Mc  
11. Section 3 is developed to the modeling and processing of fuzzy fu90]upz~  
decision rules q$aaA`E%  
12. The main idea of the FLC is described in Section 3 while Section 4 |j 6OM{@  
describes the xx strategies. I4&::y^ C  
13. Section 3 and 4 show experimental studies for verifying the Yv:55+e!|  
proposed model. }#X8@  
14. Section 4 discusses a previous fuzzy set-based approach to cost A45A:hqs  
variance investigation. d6 W SL;$  
15. Section 4 gives a specific example of xxx. AE} )o)B  
16. Section 4 is the experimental study to make a fuzzy model of }N*_KzPIa  
memory process. `F/Tv 5@L  
17. Section 4 contains a discussion of the implication of the results of {#)0EzV6  
Section 2 and 3. 'Y]mOD^ p  
18. Section 4 applies this fuzzy measure to the analysis of xx and ,Jd ',>3  
illustrate its use on experimental data. P3oI2\)*i  
19. Section 5 presents the primary results of the paper: a fuzzy set rD*sl}  
model .. %Qj;,#z  
",!1m7[wF  
20. Section 5 contains some conclusions plus some ideas for further '3?\K3S4i  
work. zL\OB?)5J  
21. Section 6 illustrates the model with an example. i\dc>C ;  
22. Various ways of justification and the reasons for their choice are uJ6DO#d`P  
discussed very briefly in Section 2. ai {Sa U  
23. In Section 2 are presented the block diagram expression of a G#?Sfn O0  
whole model 'D @-  
of human DM system %?m$`9yU  
24. In Section 2 we shall list a collection of basic assumptions which 0@EwM  
a ... scheme must satisfy. z(H^..<!5  
25. In Section 2 of this paper, we present representation and ^.>jG I%rB  
uniqueness theorems for the fundamental measurement of fuzziness }X=[WCK U  
when the domain of discourse is order-dense. FHC \?Cg  
26. In Section 3, we describe the preliminary results of an empirical TYQwy*  
study Hbpqyl%O>  
currently in progress to verify the measurement model and to 6qaulwV4t  
construct membership functions. S*n@81Z  
27. In Section 5 is analyzed the inference process through the two 65Cg]Dt71  
kinds of inference experiments... [3@):8  
This Section qs QNjt  
1. In this section, the characteristics and environment under which 2/0v B>  
MRP is designed are described. o";Z$tAJkC  
2. We will provide in this section basic terminologies and notations rf$X>M=G  
which are necessary for the understanding of subsequent results. Uy$)%dYfq5  
Next Section ma((2My'H  
2. The next section describes the mathematics that goes into the O/<K!;(@?  
computer implementation of such fuzzy logic statements. <^lRUw  
3. However, it is cumbersome for this purpose and in practical qu-/"w<3$  
applications the formulae were rearranged and simplified as ]X^rU`":  
discussed in the next section. DuOG {  
4. The three components will be described in the next two section, 3l#IPRn9AO  
and an example of xx analysis of a computer information system will E~_]Lfs)  
G;~V  
then illustrate their use. 2^l[(N  
5. We can interpret the results of Experiments I and II as in the Y k5 }`d!:  
following sections. 4A2?Uhp y  
6. The next section summarizes the method in a from that is useful afb+GA!  
for arguments based on xx $]A/ o(  
Summary 7Ddaf>   
1. This paper concludes with a discussion of future research k+DR]icv  
consideration in section 5. |\g5+fv9  
2. Section 5 summarizes the results of this investigation.  z~>pVs  
3. Section 5 gives the conclusions and future directions of research. [NTt z <i@  
4. Section 7 provides a summary and a discussion of some extensions &Ky_v^  
of the paper. A21N|$[  
5. Finally, conclusions and future work are summarized Ed ,D8ND  
6. The basic questions posed above are then discussed and ^J\~XYg{7  
conclusions are drawn. ,Uy|5zv  
7. Section 7 is the conclusion of the paper. \R3H+W  
Chapter 0. Abstract <&:=z?30"  
1. A basic problem in the design of xx is presented by the choice of a {U_$&f9s  
xx rate for the measurement of experimental variables. ]Qe{e3p;  
2. This paper examines a new measure of xx in xx based on fuzzy %3$*K\Ai  
mathematics which overcomes the difficulties found in other xx Q;D0<Bv  
measures. [V) L  
3. This paper describes a system for the analysis of the xx. &zuG81F6  
4. The method involves the construction of xx from fuzzy relations. "&%#!2  
5. The procedure is useful in analyzing how groups reach a decision. 5T:i9h  
6. The technique used is to employ a newly developed and versatile ,DZX$Ug~+E  
xx algorithm. 59Gk3frk(  
7. The usefulness of xx is also considered. 5Fz.Y}  
8. A brief methodology used in xx is discussed. "1-}A(X  
9. The analysis is useful in xx and xx problem. HWVtop/  
10. A model is developed for a xx analysis using fuzzy matrices. m{7(PHpw  
11. Algorithms to combine these estimates and produce a xx are FEJ~k1z  
DK oN}c  
presented and justified. +Lnsr\BA  
12. The use of the method is discussed and an example is given. Q8_ d)t|  
13. Results of an experimental applications of this xx analysis ?]4>rl}  
procedure are given to illustrate the proposed technique. qBT.x,$  
14. This paper analyses problems in po}F 6m8bX  
15. This paper outlines the functions carried out by ... {N#KkYH{"  
16. This paper includes an illustration of the ...  HyR!O>  
17. This paper provides an overview and information useful for LbII?N8`N  
approaching 0{j&6I2  
18. Emphasis is placed on the construction of a criterion function by k}#;Uy=5  
which the xx in achieving a hierarchical system of objectives are ymNnkFv  
evaluated. 0JD~M\-!^a  
19. The main emphasis is placed on the problem of xx e*.b3 z  
20. Our proposed model is verified through experimental study. 7 K{Nb  
21. The experimental results reveal interesting examples of fuzzy ZKdeB3D  
phases of: xx, xx nIvJrAm4k  
22. The compatibility of a project in terms of cost, and xx are likewise NzW`B^p  
represented by linguistic variables. /CIh2 ]#e  
23. A didactic example is included to illustrate the computational g%k`  
procedure L.=w?%:H=  
Chapter 1. Introduction w2xG_q  
Time `4 y]Z)  
1. Over the course of the past 30 years, .. has emerged form intuitive >dM8aJzC  
2. Technological revolutions have recently hit the industrial world NOS>8sy  
3. The advent of ... systems for has had a significant impact on the ]0r|_)s  
4. The development of ... is explored .{S8f#p9T  
5. During the past decade, the theory of fuzzy sets has developed in a 9V.u-^o&  
variety of directions  P5gN#G  
6.The concept of xx was investigated quite intensively in recent years DE IB!n   
7. There has been a turning point in ... methodology in accordance jp+_@S>  
with the advent of ... -TV?E%r  
8. A major concern in ... today is to continue to improve... n$:IVX"2b  
9. A xx is a latecomer in the part representation arena. U'*t ~x <  
5#E |R  
10. At the time of this writing, there is still no standard way of xx }Up.){.%  
11. Although a lot of effort is being spent on improving these mw^7oO#  
weaknesses, the efficient and effective method has yet to be iL7VFo:Q  
developed. HWm#t./  
12. The pioneer work can be traced to xx [1965]. 4 m-I5!=O  
13. To date, none of the methods developed is perfect and all are far RB?V7uX  
from ready to be used in commercial systems. yE} dj)wd  
Objective / Goal / Purpose wLV~F[:  
1. The purpose of the inference engine can be outlined as follows: 90xk$3(  
2. The ultimate goal of the xx system is to allow the non-experts to ]h9!ei [  
utilize the existing knowledge in the area of manual handling of loads, $t-n'Qh^2  
and to provide intelligent, computer-aided instruction for xxx. ^S#t|rN  
3. The paper concerns the development of a xx  oK 9'  
4. The scope of this research lies in 19q{6X`x  
5. The main theme of the paper is the application of rule-based M|i o4+sy  
decision making. *V k ^f+5  
6. These objectives are to be met with such thoroughness and /hv#CB>1x  
confidence as to permit ... ;PyZ?Z;  
7. The objectives of the ... operations study are as follows: H0"=Vs,n  
8. The primary purpose/consideration/objective of 5f:DN\ ]  
9. The ultimate goal of this concept is to provide Br d,Eg  
10. The main objective of such a ... system is to 2yo cu!4l  
11. The aim of this paper is to provide methods to construct such |vFj*XU  
probability distribution. "'Z- UV  
12. In order to achieve these objectives, an xx must meet the $(q>mg:H  
following requirements: ]|:uU  
13. In order to take advantage of their similarity _U)%kY8  
14. more research is still required before final goal of ... can be iz"3\{aN  
completed )yxT+g2!  
15. In this trial, the objective is to generate... %1:chvS  
16. for the sake of concentrating on ... research issues sNU}n<J -  
17. A major goal of this report is to extend the utilization of a recently tu%[p 4   
developed procedure for the xx. Ov9 Q?8KzM  
q S8B##x+=  
18. For an illustrative purpose, four well-known OR problems are DHfB@/ q#  
studied in presence of fuzzy data: xx. W$?e<@  
19. A major thrust of the paper is to discuss approaches and UU@fkk  
strategies for structuring ..methods q9} m!*8e  
20. This illustration points out the need to specify ,|To#umym>  
21. The ultimate goal is both descriptive and prescriptive. V{Q kN7-  
22. Chapter 2. Literature Review Jfg7\&|  
23. A wealth of information is to be found in the statistics literature, B/eaqJ  
for example, regarding xx );}t&}  
24. A considerable amount of research has been done .. during the +2T! z=  
last decade /r.6XZs6  
25. A great number of studies report on the treatment of MC=G"m:_  
uncertainties associated with xx. RazBc.o<  
26. There is considerable amount of literature on planning h[=nx^  
27. However, these studies do not provide much attention to u.6P-yh  
uncertainty in xx. ^ @.G,u  
28. Since then, the subject has been extensively explored and it is ] h~o],:  
still under investigation as well in methodological aspects as in d bO#  
concrete applications. i7eI=f-Q  
29. Many research studies have been carried out on this topic. 9 qH[o?]  
30. Problem of xx draws recently more and more attention of system LV.&>@*  
analysis. k:P$LzIB  
31. Attempts to resolve this dilemma have resulted in the NfF~dK|  
development of %D^bah f  
32. Many complex processes unfortunately, do not yield to this |%ZpatZA5  
design procedure and have, therefore, not yet been automated. H~m]nV,r  
33. Most of the methods developed so far are deterministic and /or 'TX M{RGw  
probabilistic in nature. RG? MRxC  
34. The central issue in all these studies is to -2lRia  
35. The problem of xx has been studied by other investigators, R=35 7^[R  
however, these studies have been based upon classical statistical .Z5[_'T  
approaches. 37K U~9-A  
36. Applied ... techniques to *g$agyOfh  
37. Characterized the ... system as [.U^Wrd  
m"-G6BKS  
38. Developed an algorithm to 2v\W1VF  
39. Developed a system called ... which U_*3>Q   
40. Uses an iterative algorithm to deduce A\C'dZ <N  
41. Emphasized the need to !Mil?^  
42. Identifies six key issues surrounding high technology {_as!5l  
43. A comprehensive study of the... has been undertaken YOKR//|3  
44. Much work has been reported recently in these filed cUC17z2D  
45. Proposed/Presented/State that/Described/Illustrated/  V IYV92[  
Indicated/Has shown / showed/Address/Highlights k.{G&]r{  
46. Point out that the problem of CK Mv7  
47. A study on ...was done / developed by [] e/P4mc)  
48. Previous work, such as [] and [], deal only with 7*g(@d  
49. The approach taken by [] is TnxU/)  
50. The system developed by [] consists )(.%QSA\C  
51. A paper relevant to this research was published by [] :o<N!*pT  
52. []'s model requires consideration of... L"9 Gc  
53. []' model draws attention to evolution in human development b_l.QKk  
54. []'s model focuses on... *G9 [j$  
55. Little research has been conducted in applying ... to wmiafBA e  
56. The published information that is relevant to this research... v0u\xX[H;  
57. This study further shows that oc=tI@W  
58. Their work is based on the principle of bCt_y R  
59. More history of ... can be found in xx et al. [1979]. #a.\P.{L  
60. Studies have been completed to established 9yDFHz w  
61. The ...studies indicated that +&?'KZ+Z_v  
62. Though application of xx in the filed of xx has proliferated in H}(=?} +  
recent years, effort in analyzing xx, especially xx, is lacking. ^xmZ|f-  
Problem / Issue / Question +=Yk-nJ  
63. Unfortunately, real-world engineering problems such as a2[ 8wv1  
manufacturing planning do not fit well with this narrowly defined ]|;7R^o3|  
model. They tend to span broad activities and require consideration >|5XaaDa  
of multiple aspects. v<%]XHN  
64. Remedy / solve / alleviate these problems FBcm;cjH  
67. ... is a difficult problem, yet to be adequately resolved v)%[  
H kSL5@  
68. Two major problems have yet to be addressed { _-wG3f|  
69. An unanswered question HqB|SWyK  
70. This problem in essence involves using x to obtain a solution. Q; =6ag'  
71. An additional research issue to be tackled is .... (K <Z=a  
72. Some important issues in developing a ... system are discussed KU*`f{|  
73. The three prime issues can be summarized: SHytyd  
74. The situation leads to the problem of how to determine the ... a4Ls^  
75. There have been many attempts to ?VUgwP_=  
76. It is expected to be serious barrier to "^Y6ctw  
77. It offers a simple solution in a limited domain for a complex e21E_exM0  
problem. #_on{I  
1. There are several ways to get around this problem. -3u@hp_  
2. As difficult as it seems to be, xx is by no means new. kboizJ p  
3. The problem is to recognize xx from a design representation. {qJHL;mP:8  
4. A xx problem can trace its roots to xx.  { VS''Lv  
5. xx [1987] used a heuristic approach to simplify the complexity of bcUC4g\ 9N  
the problem. :U!'U;uQ  
6. Several problems are associated with them. /A %om|+Gq  
7. Although some progress has been made in this area, at least two MV% :ES?  
major obstacles must be overcome before a fully automated system GU:r vS!  
can be realized. hN Z4v/  
8. Most problems in practice are complicated }Q47_]5  
9. More problem surface here. a v'd%LZP  
10. Hamper effort toward a xx system cWgbd^J  
11. In order to overcome the limitations due to incomplete and HyZVr2  
imprecise xx knowledge, a xx program has been developed, which \Oi5=,  
bases its knowledge upon the statistical analysis of a sample k&MlQ2'!<  
population of xx z\xiACIc  
12. The above difficulties are real challenges faced by researchers b*btkaVue  
attempting to develop ) j{WeG7L  
13. This type of mapping raises no controversy to the issue of ,k4z;  
membership function determination. X_vI0YX9  
14. However, attempts to quantify the xx have met both theoretical Q3N y5G>  
and empirical problems. 4w;r l(s  
h5LJij J  
15. It has become apparent that in order to apply this new f?/|;Zo4  
methodological framework to real-world problems and data, we have ?l)}E  
to pay attention to the problems of xx and xx. dH ^b)G4  
Chapter 3. Proposed methodology bs<WH`P  
Assumption U@o2gjGN  
1. In the case when the assumption of a xx seems to be too w JapGc!   
restrictive or inadequate, the formulation with Fuzzy termination g_rA_~dh  
time, i.e. given by a fuzzy set in the space of control stages, may be nU=f<]S=  
applied. I>< 99cwFI  
2. We assume here the fuzzy constraints to be state-dependent, and x:f|3"\s  
the fuzzy goal to be the same for all the control states, xx, which 0C7thl{Dms  
stems from the problem's nature. LV}UBao5n  
3. An approach to the solution of this problem is presented under the M3ecIVm8(  
assumption that the sampling rate Decision can be made prior to the }vXA`)Ns  
execution of the experiment, as opposed to being made while the ?#V P)A  
experiment is in progress. K B`1%=  
4. Another assumption made above is that there are precise odds at SX_kr^#  
which the expert is indifferent. +XU$GSw3(  
5. Main simplifying assumptions are: -(4E  
6. This, in our view, is a questionable assumption. EWu iaw.  
Outline / Structure / Module beN>5coP%A  
1. An outline of the research w*&n(zJF>  
2. Information is incorporated within the scheme +P> A P&  
3. Is built into ... structure ]X >QLD0W  
4. A nice modular structure. ; JPb Bwm  
5. The principles of ... are applied as modularized criteria :=iM$_tp'  
Classification ZbZAx:L  
1. A xx system comprises three main components: 'gk81@|  
2. Must decompose the original .. into a set of .. (!XYH@Mz<w  
3. Consists of the following steps: c{]r{FAx9o  
4. This is summarized in the following steps: 1A`?y& Ll  
wB1|r{  
5. Can be broadly classified into the following areas: q/rHHuY}  
6. Can be characterized by its function of effectively processing the PO1:9  
7. Can allow further breadth of application of ...into more bG?WB,1  
8. The following steps should be followed 7tf81*e  
9. xx can be classified by a different ways. bgzT3KZ  
10. Based on the xx, one may classify xx into the following: G+ $)W u  
11. This catalog may change due to wear, breakage, and purchasing. <QkN}+B=  
System ERX |cc  
1. Unlike many conventional program, expert systems do not "dLMBY~  
usually deal with problem for which there is clearly a right or wrong Vav+$l|j@  
answer. `:bvuc(  
2. The system consists of both ... and ... Q#J>vwi=  
3. The system has a hierarchical modular architecture organized on z2s|.M]&-D  
three levels. 0ez i?Um  
4. expert system domains are area of expertise u':0"5}  
5. To develop a xx system for xx, the following factors must be 9 .&Or4>  
considered: yqVaA 'w5  
6. The system has been developed / designed to determine >QZt)<[  
7. The system has proven to be able to PGv}fEH"  
8. The domain in which an expert system operates is a particular tXG4A$(2&  
domain @k:f}-t  
9. The system comprises a ... with c &Su d, &  
10. The system is [feature-oriented ] / based on the ... technique Kz3h]/A.  
11. The system environment must be relatively stable s:jL/%+COZ  
12. The system is utilized to generate, load, store, update and kq1M <lk  
retrieve ... Ti@P4:q  
13. The development of a xx system has two stages: xx stage and xx 9tc@   
stage. l=-d K_ I?  
14. The most essential part of .. system is the ... HDW\S#  
15. The successful developments in ESs have made them an K}5 $;W#  
important tool in the development of qLW-3W;WUH  
16. An automated system was developed for T`'3Cp$q  
17. In this case, the system can be considered to be generative. ,f /IG.  
>g i{x|/  
18. An interactive automatic ... system i2ml[;*,N  
19. A …. is commonly thought of as a truly integrated .. system A^Hp#b @  
20. Should be capable of being generated from a ... system %wjU^Urya  
21. xx is an important part of the integrated system. A$"$`)P!  
22. The model consists of four rule bases, each of which addresses a *}iT6OJ  
separate problem in the hierarchy of scheduling decision. | C2.Zay  
23. The rule bases are linked to each other in a chin-like manner in ,tR'0&=  
the sense that the consequent of one rule base constitutes a part of qf&a<[p~  
the antecedent of the next rule base. pYhI{  
24. The rule base consists of all possible combinations of the OB  i!fLa  
linguistic terms associated with the linguistic variable of the 7E6?)bgh  
antecedent of a rule. @Kb|  
Computer System c{4nW|/ W  
1. The system has been implemented using Prolog language in an eg~^wi  
MS-DOS environment. Prolog was chosen because it offers a well cSs/XJZ  
known and flexible environment in which fuzzy reasoning may be O7CYpn4<7  
easily implemented. +U/"F|M  
2. The current version of the xx program when compiled with 5~R{,]52  
WATFOR77 results in an executable code of about 270K bytes. w>q_8V_K  
Typical run time, when run on a XX computer (an IBM compatible +VW]%6 +  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min Di1G  
to 2h, depending on the size (or complexity) of the problem. H=BR -  
3. Time consuming procedures have been implemented in =$zr t  
C-language and directly linked to the Prolog environment. \w_[tPz}  
4. The xx process, once the xx's data has been entered, requires Uus)2R7  
approximately 180 seconds. WI 4_4  
5. It should be noted that the computation was done with a 20 Hhz, .p0n\ $r  
80386..209;based microcomputer equipped with a 80387 math v%7JZ<I'A  
co-processor. 9a Ps_|C  
6. The computer programs used for the analyses, one based on the xx +~k,4  
method and the other based on the new method, were written in k 5r*?Os  
FORTRAN with a compiler that supports the math co-processor. vHe.+XY  
7. Lisp, Prolog give maximum flexibility but also maximizes $I0a2Z=dP  
l YA+k 5  
development time. #YVD OR{z  
l Internal representation is the way a model is represented in the XN%D`tbvJ  
computer. 00wH#_fm  
l An interactive menu-driven procedure is used in this study CrX-?$  
l Shell can be develop very fast at the cost of time fairly severe "m)O13x  
limitations. 'u%;6'y  
l While there is no measurable saving of time for the case involving Z$K%@q,10+  
five criteria, the saving is dramatic for the case involving 10 criteria \`9|~!,Ix7  
-- the computation time reduces from 10 hr 40 min to about 1 min. 9JeGjkG,  
l This combination is being implemented in an objected-oriented xT( .#9  
programming environment (Smalltalk-80 system) to solve problems u}0t`w:   
encountered in construction xxx. HY#("=9< h  
Method / Approach / Study / Process Model / Equation /Algorithm / a2)*tbM 9\  
Rule / Formula / Technique ky"7 ^  
l A discussion is presented of a problem-solving system l{ { #tW  
l To improve the efficiency of the method, the following approach zMg^2{0L  
may be applied. sW`iXsbWM>  
l In order to an investigation was made to find the causes of the UM^hF%  
l Although large collections of rules and equations have been fkG"72 95A  
complied, none are generally accepted 3CL:VwoW  
l This approach will be explained and discussed thoroughly in the }E_zW.{!  
body of the report. V:npcKpu  
l This can be accomplished by IiU|@f~k  
l This algorithm to compute the total cost can be described step by cv&hT.1  
step as follows: Ho9*y3]  
l The above preliminary analysis has provided important y!Eh /KD  
information nI` 1@ vB&  
l Various methods have been proposed for selecting an optimum... 0(.C f.B~  
l These concepts have been applied to zy5bDL -  
l On the basis of the concept mentioned above, \Bf{/r5x  
l This can be achieved by XiUsaoQm3  
l This fact suggests that a new concept P|4a}SWU  
l This was accomplished by taking ... o{eG6  
|MGw$  
l The preparatory stage is very time consuming process. ijT^gsLL  
l Test are performed for validity, completeness, and compatibility q9Wtu7/  
l There is little hope of achieving successful ... 4cL=f  
l There has been an increasing awareness of the potential of using ENr&k(>0HQ  
most ..so far made have not taken this approach, with the exception i;7jJ(#V  
of x-EAu 3=V  
l Only a few studies can be found. <aS1bQgaU  
l It is a very tedious process to go through =^{+h>#s@  
l It is only when .. has been completed that .. may be effected +z_0?x  
l The entire interpretation process is conducted in one's head. CK%W +";  
l These approaches are sometimes very tedious. 1,,:4 *)  
l Several techniques can be used (nG  
l A polynomial parametric model can be written as [the Obm\h*$  
following]/[follows]: \(s ";@  
l A xx model is constructed/formulated using xx. f&J*(F*u  
l A xx model represents an xx by its xx. g>{=R|uO5  
l A process decision model captures the logic essential to ME"/%59r  
l From the equation above, xx is equal to the summation of xx sP#5l @  
times the ... a'r\e2/e?H  
l The validity of a xx model can be checked using Euler's formula. 1>LquZ+Kj  
l Given a model, one can mathematically determine whether ... or ... %\u>%s <9  
l Equations for xx need to be derived and implemented in the _`_$U MK ;  
system. )ALcmC?!#  
l A number of heuristic rules have been developed for 5Dd;?T>  
l Optimum .. techniques can be made more reliable by ... so that G}x^PJJt  
l An algorithm based on the characteristic ... is used to determine >{[J +f{~|  
l Euler's formula states the following: {[eY/)6H  
l The completed model should agree with the formula. G}g+2`  
l For manufacturing purposes, a detailed and precise model of the idQr^{  
object is necessary C.|MA(7  
l Engineering design models are very well defined; therefore, x1Uj4*Au  
l To keep the domain narrow enough to be implementable, yet wide fQ@["b   
enough to p E#0949  
be useful. S!uyplYKF  
l?d*g&  
Point of View 3z#16*  
l from an implementation standpoint, $t^`Pt*:u  
l From the point of view of this application, " xKJ?8   
l From this point of view, Zadeh suggested an inference rule named b^1! _1c  
xxx (CRI for short). NB[b[1 Ch  
l Information is the meaningful interpretation and correlation of JL1Whf  
some aggregation of data in order to allow one to make decisions. is,_r(S  
l From a practical point of view, the computational aspects of an N  gr7E  
FLC require a simplification of the fuzzy control algorithm. 1]"b.[P>  
l The use of a hammer to insert screws, although partly effective, 2KU [Yd  
tends to distort, destroy, and generally defeat the purpose of using a Y0DBkg  
screw [Kusiak AI Implications for CIM p.129] s;L7 _.hH@  
Justification 16AYB17  
l We choose the so called xx in our experiment because it has 3OT SLF/  
received wide acceptance and can 8"? t6Z;5  
l Prolog was chosen because it offers a well known and flexible 0 I,-1o|s  
environment in which fuzzy reasoning may be easily implemented. %',. K)IR  
l The rationale behind this is that it can be much easier for an i;cqK&P;]  
estimator to rate a cost as high than to attempt to place a dollar {?82>q5F  
value on the estimate. W n|w~{d{  
l This strategy has been widely used in fuzzy control applications h4]yIM `8d  
since it is natural and easy to implement. MD&Ebq5V  
l A function definition expresses the membership function of a ibh!8"[  
fuzzy set in a functional form, typically a bell-shaped function, etc. y5>H>NS  
Such functions are used in FLC because they lead themselves to t>^An:xT  
manipulation through the use of fuzzy arithmetic. 8[eH8m#~$  
l It should be noted that in our daily life most of the information on jGId)f!)  
which our decisions are based is linguistic rather than numerical in `6'fX[j5  
nature. Seen in this perspective, fuzzy control rules provide a natural e4t'3So  
framework for the characterization of human behavior and decisions 7 'N&jI   
analysis. S?&ntUah  
l Many experts have found that fuzzy control rules provide a (2 X`imJ  
iCx}v[;Ol  
convenient way to express their domain knowledge. This explains ((#|>W\&  
why most FLCs are based on the knowledge and experience which 0} uH  
are expressed in the language of fuzzy "if-the" rule. GC.   
Chapter 4. Examples |GLa `2q|  
Example/ Data 0I1bY]*  
l The data used in the following example was taken from an [+UF]m%W  
experiment in which xx was measured between x and x using a xx D >$9(  
technique. THC34u]  
l The data consists of over xx measurements. ?!KqDI  
l An example of xx is discussed and the control rules of xx are wP29 xV"5  
compared with a xx (U4]d`  
l Examples of complex processes to which this technique may be (X;D.s  
applied are xx, xx, etc. MqRpG5 .  
l The following example is constructed only for the purpose of "{Lp'+wNw  
illustrating the computational procedure discussed. ;.+sz(:hm  
l This example clearly demonstrates that the profile of an individual .*+%-%CbP  
xx, or a very small group of xx, with no enough data to be studied O8qA2@,  
statistically, can be meaningfully analyzed by fuzzy possibilistic Dn1aaN6  
methods. F$X"?fj  
l There is no space here to go into detail on all these methods, but 0e-M 24,C  
deserve a mention and the bibliography will point to detailed DAa??/,x7  
references for those wishing this level of detail. 9l<f?OzAO  
l Note that the golf ball spotting example is used throughout the 06X4mu{  
paper. A%(t'z  
Comparisons |T3F:],`  
l As well, the pros and cons of these representations from a process ,%Sf,h?"^  
planning point of view will be discussed. II;   
l The method of using xx to implement xx described by Zadeh H.-VfROi2  
(1973) appeared more suitable ,0k3Qi%  
l As discussed [in the previous section]/[preciously], bMU0h,|]  
*e/8uFX  
Relation ol#| .a2O  
l We can not invert F' directly because it defines a many-to-one ~IQ3B $4H&  
mapping. a\_?zi]s&,  
l The relationships appear very complicate T*p cS'?'  
l Lifting tasks involve complex and imprecise relationship between +t[i68,%  
the task variables and the human operator's characteristics. Lfr>y_i;F  
l These methods are based on the relationship between ... and ... $Jc>B#1  
l The fundamental concept of a fuzzy rating language is that we can S~GL_#a  
establish a relationship among terms such as high, medium, and low, Wy:xiP  
and then modify these relationships. k z{_H`5.  
l This article will thus mention the latter as well as the former. C] dK/~Z#r  
l The former two bear a close relation to a fuzzy Cartesian product. ais@|s;  
Importance i`st'\I  
l The emphasis is on an implementation of a general approach to n=_jmR1  
rule based decision making. ^ s.necg0  
Consideration / Attention zb_nU7Eg  
l Careful evaluation is necessary to ensure {>r56 \!F  
l Such a formulation does not change further considerations. 0cF +4,5  
l Considerable attention has been paid to ^E]Xq]vd"  
l Attention should be paid to an important finding of this og$%`o:{  
investigation. D:Rr|m0Tk  
l Caution should be exercised in this process to avoid ... qi51'@  
l Primary consideration is given to ... components, though others V(#z{!  
can be accommodated (?W[#.=7  
l After ... has been defined by ..., a carefully analysis is carried [Z -S0  
out/performed to determine $-*E   
l A number of factors such as ...need to be taken into consideration Hzdyf Z!jR  
before making the appropriate decision. }eLnTi{  
l It should be noted that 5`t MHgQO  
l It is important to point out that ... DMXm$PU4V  
l These considerations have heightened interest in the possibility of ;l$F<CzJay  
providing ... P(|+1$#[  
rY:A LA  
l We should stress the fundamental importance of the xx 0x1#^dII  
Chapter 5. Results. ^1 U<,<  
Advantages / Disadvantage bf*VY&S- T  
l One of the major advantages of this new measure of xx is that it aMq|xHZ  
can be applied to the experimental study of 3;-P(G@  
l One advantage of using a .. is the ease of preparing it. ~9Jlb-*I5  
l The xx system is versatile [$iKx6\  
l It has a very fast decision making process MpCK/eiC  
l All the algorithms involve mostly logical operations. Uja`{uc  
l It can be easily and without additional cost implemented in a x sN)a!  
microprocessor-based environment. 7FB aN7l  
l It can reduce the waste of designing from scratch. W3~xjS"h  
l The advantages of using a xx to represent xx are the following: 'Z{_w s  
l However, xx is not without its shortcomings. @b@#  o  
l In most cases, the xxx shows an improvement over the existing nMT"R p  
xxx. ^$VH~i&  
l Compared to the existing xx, the impacts of the xx are generally ^V;h>X|  
reduced by 5% to 9%. 81jVjf?`  
l The "best case" results shows a savings of 6% to 9%. i"Z   
l Most of the existing works based on xx approach can only c7R<5f  
recognize a xx . JI H6!  
l Most of the above methods are computational expansive and @SX- =Nr  
limited to xx. j8[RDiJ  
l Some other advantages of xx are the following: J&w'0  
l The problem is the limitation of this method to a limited domain of D\CjR6DE  
parts. kH|cB!?x  
l It proved limited in application because it demanded precision in 0~( f<:  
system modeling that was impossible in practice. ekV|a1)  
l There are advantages to be gained in the structuring of costs and tOT(!yz  
benefits, the use of xx, 57~/QEdy  
l The disadvantages of this method are also disadvantages of L,7+26XV"B  
conventional xx approaches. @q/E)M?  
v3I-i|L<)  
l This combines the best features of both techniques G W@g  
l Hopefully, this tool can be as the reference framework of for qC4Q+"'  
developing a xx platform, and helping the administration, marketing, 1n-+IR"  
and knowledge management activities in virtual communities. @Lk!nP  
Results 7B s:u  
l An improvement on the result shown above can be made by based Uw5AHq).  
on the data provided 'fS&WVR?  
l Discussion of these theories is beyond the scope of this review n5s2\(  
l Based on the information contained in this < ?{ic2j#  
l The result can be categorized into nine classes +DwE~l  
l The results are illustrated by an example `c.P`@KA  
l The experimental results for each xx time are reported in Table 2. I:=rwnd  
l From the results obtained so far, it seem that 4uy:sCmu  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn ,.,spoV  
as ZgI?#e  
l Although much effort has been made to., this reality is far from [$e\?c  
completion. S!6 ? b5  
l The results indicate that the total benefits are higher than the :c}"a(|  
total costs. }BN!Xa  
l Their results may then serve as guidelines for lower level models, y*7{S{9  
less fuzzy and more detailed. F\Q X=n  
Chapter 6. Conclusion @wPyXl  
l From the discussion, one may conclude that ... Boj#r ,x  
l Form the above discussion, the conclusion can be reached that Cc}3@Nf{/  
l The conclusions drawn are also valid z{wZLqG  
l In conclusion to this, it becomes obvious that the problem of xx FXG,D J:  
lies not only in... ';zS0Yk  
l We have attempted to introduce some concepts associated with a &1Cif$Y4w  
theory of %pj T?G7  
xx based on fuzzy sets. S(#v<C,hd  
l Considerable more work, hopefully, will be done in this area x%`tWE|  
l A fuzzy set procedure is proposed to solve xx selection problems b"pN;v  
3 4:Y_*  
interwoven with imprecise data MHQM'  
l Employing the compositional rule of inference, the assessment of <V1y^EW0  
the xx compatibility in achieving prescribed xx projectiles in any PM^Xh*~  
level of the hierarchy is made possible. Y$0K}`{  
l This paper has presented a theoretical and experimental study of fRK=y+gl@  
the xx process and xx concept. :V~ AjV  
l The experimental research results will hopefully serve as useful b ltZQI|  
feedback information for improvements for xx work. YJB/*SV^  
l The scope of this contribution was to introduce a xx method. 3U4h>T@s|  
l In general, fuzzy sets theory provides an alternative foundation cpu|tK.t  
for xx analysis in a fuzzy environment. lS |:4U.  
Future Research (V<pz2\  
l Thus, first extension of the approach could be, g`I$U%a_2  
l Present some cues for a further approach from Fuzzy Sets Theory 9E2OCLWrE  
application to O2S{*D={  
l Some improvements to the scheduling aspect of the model may R_gON*9  
be brought through additional levels in the hierarchy for more kb[+II  
detailed representation of the scheduling activity. 'tY y_  
Tables and Figures DAQozhP8  
l Figure 7-1 sketches these relationships. p!7(a yu  
l The graphical representation of these functions is shown in Figure sfR0wEqI  
1. rq | >z.  
l The xx may be depicted as in Figure 1. C A$R  
l Figure x shows the schematic diagram of the qb KcI+)47  
l Figure 1 though 2 provide a ... that XL`i9kV?  
l the architecture of this expert system for .... is illustrated in Figure 15ImwQ  
2. 3yu,qb'"&  
l Figure 2 gives the outline of an ... system ;fB!/u  
l Table shows the C8$/ z>tQ  
l as shown in Table 1 and 2 lFD/hz7lc  
l This concept is illustrated in Figure 2 `g'z6~c7n  
l At the top of Table xx are shown two blocks of data.  EHda  
2o1 RJk9  
l Each table or matrix has constructs xx through xx as ZqfoO!Ta  
row-headings, 2YpJ4.  
xx through xx as column-headings. Vm%0436wOY  
l A table of .. is developed and significant recommendations are p1fy)K2{,j  
made. .1h1J  
CONJUGATION 8g6G},Y0  
To Indicate Addition p"Q V| `  
l additionally, again, also, and then, as can be easily understood, p/Ri|FD6  
besides, equally important, especially, finally, for the same reason, J4jL%5t  
first, further, furthermore, in addition, last, likewise, moreover, next, 0ae}! LO  
second, third, too, evidently, obviously, roughly speaking, broadly gkld}t*U  
speaking tV9K 5ON  
To Indicate Cause and Effect no8FSqLUS~  
l accordingly, as a result, consequently, for this reason, hence, in $<d3g :  
short, otherwise, then, therefore, thus, truly O],]\M{GL  
To indicate Comparison 8~vE  
l in a like manner, likewise, similarly , alternatively OB\j q!"  
To Indicate Concession HKYJgx  
l after all, although this may be true, at the same time, even though, LAv!s/O$=  
even so , I admit, naturally, of course o '!WW  
To Indicate Contrast c8M'/{4rH  
l and yet, at the same time, but, for all that, however, yet, in fact, in 9+co `t.  
contrast, in the real life, in spite of, nevertheless, notwithstanding, Hb@P Qcj  
normally, on the contrary, on the other hand, still, traditionally, YE1X*'4  
rather, unfortunately, !z?;L_Lb  
To Indicate Time Relationships: O"f|gc)GLz  
after a short time, afterwards, as indicated earlier, as long as, as soon $s!2D"wl n  
NEcE -7aT  
as, at last, at length, at the moment, at that time, at the same time, U-lN-/=l6  
before, earlier, currently, immediately, in the meantime, in recent 9vJ'9Z2\  
years, lately, later, meanwhile, often, of late, presently, recently, U$AV"F&!&}  
soon, shortly, since, thereupon, temporarily, therefore, until, when, dnstm@0k  
while 992cy2,Fb  
To Indicate Special Features or Examples: ys Td'J  
for example, for instance, incidentally, indeed, in fact, in other words, *N3X"2X:  
in particular, in practice, specifically, that is, to illustrate, in this /|aD,JVN"  
respect, theoretically, as mentioned before / above QOKE9R#Y  
To Indicate Summary: i2 m+s;  
in brief, in conclusion, in short, in summary, on the whole, to wsyAq'%L  
conclude 3NxwQ,~  
, in general, to summarize, to sum up, as a result, ultimately, v="2p8@F  
VERB PHASE 8@d,TjJDo  
l build a .. model H<bB@(i  
l build up the key link SKrkB~%z  
l began a new era in ... +N>&b%  
l can be regarded as / achieved / used to/for / found / obtained $C~OV@I  
through FvV:$V|  
l can result in Z{spo=  
l carries out ... tasks PxiJ R[a  
l production information in order to simultaneously eBxOa  
l contains all information necessary to describe R[_UbN 28  
l do not make use of production information T{Y;-m  
l deals with K!BS?n;  
l end with failure 4l`"P~= 2<  
l fetch the information from the model directly D_)n\(3  
l has great potential / yet to be resolved / spurred the Y76UhtYH  
development of / 1*u i|fuK  
been recognized as C lekB  
l BE aimed at / built up / carried out by / essentially concerned  2/v9  
Kzz]ZO*3  
with / considered to be the key technology / associated with each y7WO:X&  
feature of a compo 'o.A8su,  
site component / cable of / currently implemented for / C AvyS  
demonstrated by an example / finally reached / made equal to / yPhTCr5pK  
equivalent to / more suitable to / oriented to / interpreted as / M5>cYVG  
pointed out / potentially of great benefit in the complex task of / =w <;tb  
shown in / used to effectively guide the search qL?`l;+  
l makes use of )T26 cT$  
l make up jizp\%W+  
l meets the needs of real life production,/ the current demands LIZsDTU  
placed upon it (c=.?{U  
l must be justified 5fqQ;r  
l point out HE0@`(mCpa  
l play an important role /6PL  
l relates to -U#e  
l rely on Y~%9TC  
l satisfy the needs @+P7BE}  
l determine the total requirements for the ... sF+Bu'9A  
l uses ... as a key to search for... y2:~_MD  
l without relying on E|K~WO]>o  
l will be available/ performed/ overlooked /$NZj" #  
NOUN PHASE E+$%88  
l a basic technical function of 7_*k<W7|  
l a critical need ] 3UlF'{  
l a key / principle feature of -cqR]'u  
l a substantial impact on gJUawK  
l an intensive review was conducted Q"+)xj  
l an increasing need for expanding the application of .... YLVZ]fN=>  
l an important component / function / aspect / issue O h{ >xg  
l each rule is numbered in sequence ^;@Q3~DpP%  
l each of these involves ^vA"3Ixb!  
l for this calculation, it is necessary to define }> pNf  
l in the physical environment / integration of `: R7j f  
4ZAnq{nR4  
l in the reality of situations where … @j/|U04_ Z  
l many aspects of C@#KZ`c)  
l most past efforts have been spent on ... p|f5w"QcH  
l common sense to a well studied and documented technical field. -cL{9r&X  
l sources of additional information on ... are listed 9yrSCDu00  
l systematic and rationally structured format h .%)RW?  
l the basis on which a range of ...operations can be established is 9ER!K  
shown +IkL=/';#  
l THE basic philosophy / principles of / key element / general []I _r=  
hypothesis / candidate list of / concept of ... has attracted wide yy(.|  
interest / function is concerned with / heart / impact / nature / role 2iV/?.<Z&  
/ task of / kernel functions r]<?,xx [  
l the number of parts needed to % r>v^1Vo  
l the above statement means that V[RsSZx =  
l the output data is passed to u>y/<9]q8  
l the proposed method / underlying principle pX LXkF?  
l the recommendations made in this report, if implemented, should Ak'=/`+p  
l this information resides in ];63QJU  
l this process is composed of ... different ... operation Fd(o8z8Q  
l along with the use of JMVh\($,x  
l concerning general aspects of :5, k64'D  
l due to qvN`46c  
l for later use in generating..., `vc?*"  
l in turn, >= VCKN2'j  
l IT IS believed / noted / assumed / suggested / shown / quite :)g}x&A^$  
evident / appears / implies that / intended for / of no important to mDX UF~G[  
l it can be claimed/concluded that L+N;mI 8  
l it demonstrates the decisions required of .jK,6't^  
l it also provides information to .. og)f?4  
l it becomes essential to CjT]!D)s  
l let ... be the probability that 5kdh!qy[$,  
l once... is written, it is compiled into... WN6%%*w  
l suppose it is observed that -?Kd[Ma  
l this is because x4^* YZc$,  
Wa!}$q+  
l this results in a  5JggU  
l upon completion of the ... analysis, 0Ma3  
l when the knowledge is of mathematics or quantum physics, it will W>cHZ. _  
also be <4,LTB]9-  
recorded in books and papers ee\xj$,  
l selection of rules for using the tools, for generating operation R Y ";SfYb  
plans, ''3b[<  
is another matter of preference, since practice varies greatly. aYrbB#  
l for the sake of convenience ;tG@ 6  
l correct decision to be reach m>&:)K}m  
l keeping the number of rules to a minimum. G/y;o3/[Z  
l a good process plan will result exhibiting several characteristics: FQqk+P!  
l practical solutions a*bAf'=  
l because of rather small job lot sizes /?_5!3KJ  
l Backward reasoning can be used to answer the question "should F*J@OY8i  
milling tool be select" different level of knowledge in the realm of _,bDv`>Ra  
process planning
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沙发  发表于: 2007-11-14   
Very useful, thank u!
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