加入VIP 上传考博资料 您的流量 增加流量 考博报班 每日签到
   
主题 : 英语论文写作常用经典句型
级别: 论坛版主

显示用户信息 
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 ( }]ae*  
f1hjU~nJ  
!\)9fOLs  
Beginning jkzC^aG  
1. In this paper, we focus on the need for  Uz;z  
2. This paper proceeds as follow. o=&tT,z  
3. The structure of the paper is as follows. lg9`Z>?  
4. In this paper, we shall first briefly introduce fuzzy sets and related )A@i2I  
concepts B 66-l!xa  
5. To begin with we will provide a brief background on the ^}F@*A;o  
Introduction 1<Z~Gw4  
1. This will be followed by a description of the fuzzy nature of the 3NLC~CJ  
problem and a detailed presentation of how the required 3M?vK(zG>P  
membership functions are defined. "JH / ODm  
2. Details on xx and xx are discussed in later sections. Id<3'ky<N  
3. In the next section, after a statement of the basic problem, various vE}>PEfA  
situations involving possibility knowledge are investigated: first, an */T.]^  
entirely possibility model is proposed; then the cases of a fuzzy myR}~Cj;q  
service time with stochastic arrivals and non-fuzzy service rule is 7sC8|+  
studied; lastly, fuzzy service rule are considered. <0P7NC:Ci  
Review _&U5 u  
1. This review is followed by an introduction. Zx1I&K\Cd  
2. A brief summary of some of the relevant concepts in xxx and xxx is B.J_(V+  
presented in Section 2. Jd P[ cN  
3. In the next section, a brief review of the .... is given. r"%uP[H  
4. In the next section, a short review of ... is given with special regard 5bfd8C  
to ... :k-(%E](  
5. Section 2 reviews relevant research related to xx. snl$v  
6. Section 1.1 briefly surveys the motivation for a methodology of Qd{h3K^hlu  
action, while 1.2 looks at the difficulties posed by the complexity of 'K"7Tex  
systems and outlines the need for development of possibility  ZeL v!  
methods. [i  ]  
Body ,.g9HO/R1  
1. Section 1 defines the notion of robustness, and argues for its No '^]r  
_6"YWR  
importance. B(omD3jzN  
2. Section 1 devoted to the basic aspects of the FLC decision-making ;)SWUXa;{  
logic. -t5DcEAb$  
3. Section 2 gives the background of the problem which includes xxx B <CK~ybY  
4. Section 2 discusses some problems with and approaches to, A18&9gY  
natural language understanding. OE"r=is  
5. Section 2 explains how flexibility which often ... can be expressed \0^ZNa?  
in terms of fuzzy time-window :J'ibb1  
6. Section 3 discusses the aspects of fuzzy set theory that are used in uPp9 UW  
the ... J4xJGO  
7. Section 3 describes the system itself in a general way, including %"1*,g{  
the ….. and also discusses how to evaluate system performance. (16U]s  
8. Section 3 describes a new measure of xx. DH5]Kzb/  
9. Section 3 demonstrates the use of fuzzy possibility theory in the m V U(b,  
analysis of xx. jW?siQO^  
10. Section 3 is a fine description of fuzzy formulation of human y*AB=d^  
decision. 8:iu 8c$  
11. Section 3 is developed to the modeling and processing of fuzzy i l)LkZ@  
decision rules RgPY,\_9+  
12. The main idea of the FLC is described in Section 3 while Section 4 pO;BX5(x  
describes the xx strategies. dV5aIj  
13. Section 3 and 4 show experimental studies for verifying the Ky qFeR  
proposed model. j.5;0b_L^  
14. Section 4 discusses a previous fuzzy set-based approach to cost :=0XT`iY  
variance investigation. -quWnn/  
15. Section 4 gives a specific example of xxx. <MPoDf?h  
16. Section 4 is the experimental study to make a fuzzy model of <Bmqox0  
memory process. ?^# h|aUp.  
17. Section 4 contains a discussion of the implication of the results of I>]t% YKj  
Section 2 and 3. jv"^_1  
18. Section 4 applies this fuzzy measure to the analysis of xx and (4U59<ie  
illustrate its use on experimental data. Rj/9\F3H  
19. Section 5 presents the primary results of the paper: a fuzzy set 5&uS700  
model .. s 4Mi9h_  
dXe. 5XC  
20. Section 5 contains some conclusions plus some ideas for further Vs)%*1><  
work. I& ` >6=)  
21. Section 6 illustrates the model with an example. A5lP%&tu(  
22. Various ways of justification and the reasons for their choice are @;-6qZ  
discussed very briefly in Section 2. ~okIiC]#  
23. In Section 2 are presented the block diagram expression of a ) OqQz7'  
whole model 2Qoj>Wy{  
of human DM system a=55bEn  
24. In Section 2 we shall list a collection of basic assumptions which ]g>@r.Nc  
a ... scheme must satisfy. =,aWO7Pz  
25. In Section 2 of this paper, we present representation and F4m Q#YlrS  
uniqueness theorems for the fundamental measurement of fuzziness xLE+"6;W  
when the domain of discourse is order-dense. brQkVt_)EE  
26. In Section 3, we describe the preliminary results of an empirical ;x[F4d  
study ]~,V(K  
currently in progress to verify the measurement model and to "EoC7 1  
construct membership functions. <JA`e+Bi  
27. In Section 5 is analyzed the inference process through the two @-z#vJ5Qe{  
kinds of inference experiments... 1MtvnPY  
This Section `ag7xd!  
1. In this section, the characteristics and environment under which Y$^x.^dT,  
MRP is designed are described. &FWPb#  
2. We will provide in this section basic terminologies and notations o W)M&$oS  
which are necessary for the understanding of subsequent results. $*| :A  
Next Section VV(>e@Bc4  
2. The next section describes the mathematics that goes into the 9T47U; _)  
computer implementation of such fuzzy logic statements. r<;bArs-u  
3. However, it is cumbersome for this purpose and in practical <v?9: }  
applications the formulae were rearranged and simplified as _tR%7%3*  
discussed in the next section. Ejdw"P"  
4. The three components will be described in the next two section, u7u8cVF  
and an example of xx analysis of a computer information system will U[z Y0B  
?Z@FxW  
then illustrate their use. {xw*H<"f<  
5. We can interpret the results of Experiments I and II as in the %$j)?e  
following sections. j%iz>  
6. The next section summarizes the method in a from that is useful 9 i)E<.6  
for arguments based on xx ce{GpmW  
Summary h<.G^c)  
1. This paper concludes with a discussion of future research <^,w,A  
consideration in section 5. [L1pDICoy  
2. Section 5 summarizes the results of this investigation. oK h# th  
3. Section 5 gives the conclusions and future directions of research. R@``MC0  
4. Section 7 provides a summary and a discussion of some extensions Lj"~6l`)  
of the paper. DCb\ =E  
5. Finally, conclusions and future work are summarized ZVpMR0!  
6. The basic questions posed above are then discussed and 8NJ(l  
conclusions are drawn. Nt#zr]Fz  
7. Section 7 is the conclusion of the paper. 8WU UE=p  
Chapter 0. Abstract ;C%40;Q  
1. A basic problem in the design of xx is presented by the choice of a irCS}Dbw  
xx rate for the measurement of experimental variables. $}<+~JpGfP  
2. This paper examines a new measure of xx in xx based on fuzzy 1oaiA/bq  
mathematics which overcomes the difficulties found in other xx hS&,Gm`^  
measures. )((Jnm D  
3. This paper describes a system for the analysis of the xx. 80cBLGG  
4. The method involves the construction of xx from fuzzy relations. qUSImgg  
5. The procedure is useful in analyzing how groups reach a decision. \pZ,gF;y  
6. The technique used is to employ a newly developed and versatile KotJ,s ]B  
xx algorithm. Zo`'xg  
7. The usefulness of xx is also considered. w4pU^&O  
8. A brief methodology used in xx is discussed. I,vy__ sZ  
9. The analysis is useful in xx and xx problem. m8H|cQ@Uu  
10. A model is developed for a xx analysis using fuzzy matrices. sTdD=>  
11. Algorithms to combine these estimates and produce a xx are s S8Z5k;  
A!s\;C  
presented and justified. qSj2=dlW  
12. The use of the method is discussed and an example is given. r_T\%  
13. Results of an experimental applications of this xx analysis J&S$F:HM  
procedure are given to illustrate the proposed technique. .&.j?kb  
14. This paper analyses problems in CQ2{5  
15. This paper outlines the functions carried out by ... a ^<W ?Z  
16. This paper includes an illustration of the ... -W wFUm  
17. This paper provides an overview and information useful for O5{!CT$  
approaching Adgh:'h  
18. Emphasis is placed on the construction of a criterion function by OBi9aFoQ  
which the xx in achieving a hierarchical system of objectives are MVz=:2)J2  
evaluated. ,xB&{ J  
19. The main emphasis is placed on the problem of xx :L&Bbw(  
20. Our proposed model is verified through experimental study. V0z.w:-  
21. The experimental results reveal interesting examples of fuzzy ZO{uG(u  
phases of: xx, xx .MMFN }1O  
22. The compatibility of a project in terms of cost, and xx are likewise {S(?E_id5b  
represented by linguistic variables. CL|t!+wU/  
23. A didactic example is included to illustrate the computational eX7Ev'(H  
procedure F"VNz^6laV  
Chapter 1. Introduction d*Dq=.F(  
Time aB"W6[  
1. Over the course of the past 30 years, .. has emerged form intuitive g e:UliHJ  
2. Technological revolutions have recently hit the industrial world CFAz/x@%  
3. The advent of ... systems for has had a significant impact on the <splLZW3k  
4. The development of ... is explored +[8s 9{1{C  
5. During the past decade, the theory of fuzzy sets has developed in a 048BQ  
variety of directions P!:Y<p{=>  
6.The concept of xx was investigated quite intensively in recent years :XcU@m  
7. There has been a turning point in ... methodology in accordance *O,\/aQ+  
with the advent of ... e*jt(p[Ge  
8. A major concern in ... today is to continue to improve... Kf2*|ZHj  
9. A xx is a latecomer in the part representation arena. Dg%zNi2GS  
G*2bYsnhX  
10. At the time of this writing, there is still no standard way of xx J/8aDr (+  
11. Although a lot of effort is being spent on improving these rBa <s  
weaknesses, the efficient and effective method has yet to be n c:^)G  
developed. 2+ F34  
12. The pioneer work can be traced to xx [1965]. 2;r(?ebw  
13. To date, none of the methods developed is perfect and all are far hL~@Ah5&t  
from ready to be used in commercial systems. YW9 [^  
Objective / Goal / Purpose ~b/lr   
1. The purpose of the inference engine can be outlined as follows: aAiSP+#  
2. The ultimate goal of the xx system is to allow the non-experts to |8PUmax  
utilize the existing knowledge in the area of manual handling of loads, dqO!p6  
and to provide intelligent, computer-aided instruction for xxx. (M5w:qbR  
3. The paper concerns the development of a xx pXf@Y}mH  
4. The scope of this research lies in g^@ Kx5O\  
5. The main theme of the paper is the application of rule-based ] C_g: |q  
decision making. S453oG"  
6. These objectives are to be met with such thoroughness and 4zs1BiMG  
confidence as to permit ... ?rID fEvV  
7. The objectives of the ... operations study are as follows: eKi/Mt  
8. The primary purpose/consideration/objective of U<{8nMB  
9. The ultimate goal of this concept is to provide ;cd{+0  
10. The main objective of such a ... system is to xO)vn\uJ  
11. The aim of this paper is to provide methods to construct such R+k-mbvnt  
probability distribution. yPrp:%PS  
12. In order to achieve these objectives, an xx must meet the ?;@xAj  
following requirements: Z_Jprp{3h  
13. In order to take advantage of their similarity im{'PgiR  
14. more research is still required before final goal of ... can be z1[2.&9D-  
completed \U;4 \  
15. In this trial, the objective is to generate... 7^,C=2  
16. for the sake of concentrating on ... research issues hV|pH)Nu{  
17. A major goal of this report is to extend the utilization of a recently e@'rY#:u  
developed procedure for the xx. 6z v+Av:  
#R$d6N[H  
18. For an illustrative purpose, four well-known OR problems are +;~JHx.~X  
studied in presence of fuzzy data: xx. dd1m~Gm  
19. A major thrust of the paper is to discuss approaches and su6x okt  
strategies for structuring ..methods wjh[}rTV*  
20. This illustration points out the need to specify EeGP E  
21. The ultimate goal is both descriptive and prescriptive. c#sPM!!  
22. Chapter 2. Literature Review oT2h'gu")  
23. A wealth of information is to be found in the statistics literature, dA >=#/"  
for example, regarding xx hZ2!UW4'  
24. A considerable amount of research has been done .. during the e^kccz2f  
last decade , f9V`Pz)  
25. A great number of studies report on the treatment of 9,|{N(N<!  
uncertainties associated with xx. UMR0S5`}  
26. There is considerable amount of literature on planning f`'? 2  
27. However, these studies do not provide much attention to ULc oti=,  
uncertainty in xx. Jj+|>(P  
28. Since then, the subject has been extensively explored and it is &ywAzGV{s  
still under investigation as well in methodological aspects as in 'qcLK>E  
concrete applications. :l>&5w;  
29. Many research studies have been carried out on this topic. `|K30hRp:  
30. Problem of xx draws recently more and more attention of system q<(yNqMKP  
analysis. {<0=y#@u  
31. Attempts to resolve this dilemma have resulted in the [kwVxaI  
development of [=*c8  
32. Many complex processes unfortunately, do not yield to this 8 CKN^8E  
design procedure and have, therefore, not yet been automated. Ut:>'TwG  
33. Most of the methods developed so far are deterministic and /or l/9V59Fv9  
probabilistic in nature. tDj~+lmdN  
34. The central issue in all these studies is to /V@~Vlww  
35. The problem of xx has been studied by other investigators, # \9sCnb  
however, these studies have been based upon classical statistical ]q@/:I 9]  
approaches. =^ur@E  
36. Applied ... techniques to $1<V'b[E  
37. Characterized the ... system as I4'mU$)U  
*L_+rJj,  
38. Developed an algorithm to 1F?`.~q  
39. Developed a system called ... which R'R LF =  
40. Uses an iterative algorithm to deduce sOzmw^7   
41. Emphasized the need to 7"}<J7"})  
42. Identifies six key issues surrounding high technology rPaUDR4U  
43. A comprehensive study of the... has been undertaken U~!yGjF  
44. Much work has been reported recently in these filed #wz1uw[pI!  
45. Proposed/Presented/State that/Described/Illustrated/ y9W6e "  
Indicated/Has shown / showed/Address/Highlights tMM *m  
46. Point out that the problem of CZ2&9Vb9I  
47. A study on ...was done / developed by [] .xJW=G{/  
48. Previous work, such as [] and [], deal only with AIZs^ `_  
49. The approach taken by [] is E`vCYhf{  
50. The system developed by [] consists &8VB{S>r  
51. A paper relevant to this research was published by [] _@U?;73"5  
52. []'s model requires consideration of... s7j#Yg  
53. []' model draws attention to evolution in human development j2GO ZKy  
54. []'s model focuses on... bb<qnB  
55. Little research has been conducted in applying ... to 3GMRH;/w  
56. The published information that is relevant to this research... OV r, {[r  
57. This study further shows that r\6 "mU  
58. Their work is based on the principle of Oc\Bu6F  
59. More history of ... can be found in xx et al. [1979]. V}?d ,.m`{  
60. Studies have been completed to established &?~OV:r9  
61. The ...studies indicated that =#WoeWFW*  
62. Though application of xx in the filed of xx has proliferated in Gb)!]:8  
recent years, effort in analyzing xx, especially xx, is lacking. V&7jd7 2{  
Problem / Issue / Question jKFypIZ4  
63. Unfortunately, real-world engineering problems such as py9zDWk~  
manufacturing planning do not fit well with this narrowly defined "`pI! nj  
model. They tend to span broad activities and require consideration 6{2LV&T=u  
of multiple aspects. .j*muDVQn  
64. Remedy / solve / alleviate these problems A`E7V}~  
67. ... is a difficult problem, yet to be adequately resolved ]{- >/.oB  
|\g=ua+h  
68. Two major problems have yet to be addressed G8}w|'0m  
69. An unanswered question d*7nz=0&$  
70. This problem in essence involves using x to obtain a solution. " P A:  
71. An additional research issue to be tackled is .... bZ!*s  
72. Some important issues in developing a ... system are discussed rLMjN#`^  
73. The three prime issues can be summarized: VgfA&?4[  
74. The situation leads to the problem of how to determine the ... {J`Zl1_q  
75. There have been many attempts to Wj2s+L7,  
76. It is expected to be serious barrier to c_#\'yeW  
77. It offers a simple solution in a limited domain for a complex 0cV=>|b>;  
problem. Rs@2Pe$3  
1. There are several ways to get around this problem. P,xI3U< q  
2. As difficult as it seems to be, xx is by no means new. ICSi<V[y1  
3. The problem is to recognize xx from a design representation. `<I+(8]Uz  
4. A xx problem can trace its roots to xx. Kk?P89=*  
5. xx [1987] used a heuristic approach to simplify the complexity of 63b?-.!b  
the problem. /15e-(Zz/  
6. Several problems are associated with them. N?`-$C ]  
7. Although some progress has been made in this area, at least two <^j,jX  
major obstacles must be overcome before a fully automated system B%HG7  
can be realized. Fl,(KST z  
8. Most problems in practice are complicated YGVj $\  
9. More problem surface here. eil"1$k  
10. Hamper effort toward a xx system STMc@MeZU_  
11. In order to overcome the limitations due to incomplete and 8=;'kEU  
imprecise xx knowledge, a xx program has been developed, which P$E#C:=  
bases its knowledge upon the statistical analysis of a sample 9! hiCqA&  
population of xx CR$\$-  
12. The above difficulties are real challenges faced by researchers <ptZY.8N  
attempting to develop ?3ldHWa  
13. This type of mapping raises no controversy to the issue of {(r`&[  
membership function determination. E0XfM B]+  
14. However, attempts to quantify the xx have met both theoretical >3R)&N  
and empirical problems. octBt`\Of  
}^).Y7{g[  
15. It has become apparent that in order to apply this new ?[#nh@mI  
methodological framework to real-world problems and data, we have {j%'EJ5  
to pay attention to the problems of xx and xx. =FXO1UZ!  
Chapter 3. Proposed methodology KiN8N=z  
Assumption m22FOjk\  
1. In the case when the assumption of a xx seems to be too QkJAjmB  
restrictive or inadequate, the formulation with Fuzzy termination `Paz   
time, i.e. given by a fuzzy set in the space of control stages, may be |E/r64T  
applied. &)4#0L4  
2. We assume here the fuzzy constraints to be state-dependent, and NRU&GCVwu  
the fuzzy goal to be the same for all the control states, xx, which 4-RzWSFbo`  
stems from the problem's nature. L4bx [  
3. An approach to the solution of this problem is presented under the i7hWBd4wK  
assumption that the sampling rate Decision can be made prior to the N#(p_7M  
execution of the experiment, as opposed to being made while the EqW/Wxv7b  
experiment is in progress. XcfvmlBoD-  
4. Another assumption made above is that there are precise odds at ~I '1\1  
which the expert is indifferent. 9F[k;U w  
5. Main simplifying assumptions are: )$[.XKoT  
6. This, in our view, is a questionable assumption. A.0eeX{  
Outline / Structure / Module VKI`@rY4  
1. An outline of the research x+niY;Z E  
2. Information is incorporated within the scheme HV_5 +  
3. Is built into ... structure *}mk$b A  
4. A nice modular structure. |$AoI  
5. The principles of ... are applied as modularized criteria ;Mzy>*#$Q  
Classification OAGI|`E$/-  
1. A xx system comprises three main components:  R d|#-7  
2. Must decompose the original .. into a set of .. 2y"]rUS`  
3. Consists of the following steps: BO6u<cu"-  
4. This is summarized in the following steps: /r Q4JoR>  
?]1_ 2\M  
5. Can be broadly classified into the following areas: IEbk _-h[  
6. Can be characterized by its function of effectively processing the /*v} .fH%  
7. Can allow further breadth of application of ...into more gaBVD*>  
8. The following steps should be followed X ,+M?  
9. xx can be classified by a different ways. ?<3wks|C  
10. Based on the xx, one may classify xx into the following: _ML`Vh]  
11. This catalog may change due to wear, breakage, and purchasing. >)V1aLu=  
System j>D[iHrH  
1. Unlike many conventional program, expert systems do not v'fX'/  
usually deal with problem for which there is clearly a right or wrong ~Vh< mt  
answer. TOH!vQP  
2. The system consists of both ... and ... PG@Uygahu  
3. The system has a hierarchical modular architecture organized on V~tZNR J-  
three levels. C71\9K*X  
4. expert system domains are area of expertise "2J$~2{N  
5. To develop a xx system for xx, the following factors must be `Z)]mH\X  
considered: kimqm  
6. The system has been developed / designed to determine Ug2^cgL  
7. The system has proven to be able to #KFpT__F  
8. The domain in which an expert system operates is a particular klUW_d-  
domain dE ,NG)MH  
9. The system comprises a ... with ggQBQ/ L  
10. The system is [feature-oriented ] / based on the ... technique .+.BNS   
11. The system environment must be relatively stable =.<S3?  
12. The system is utilized to generate, load, store, update and TmH'_t.*T~  
retrieve ... |_ChK6Q?v  
13. The development of a xx system has two stages: xx stage and xx pz uR H1[  
stage. v +$3Z5  
14. The most essential part of .. system is the ... j 1Ng [  
15. The successful developments in ESs have made them an <aScA`\B#  
important tool in the development of ,sk0) {rW  
16. An automated system was developed for [UW%(N  
17. In this case, the system can be considered to be generative. 8i?Hh?Mf}  
=o<iBbK#|  
18. An interactive automatic ... system ue/GB+U  
19. A …. is commonly thought of as a truly integrated .. system Bkq3-rX\  
20. Should be capable of being generated from a ... system Ji XkW%  
21. xx is an important part of the integrated system. &OXnZT3P  
22. The model consists of four rule bases, each of which addresses a r/G6O  
separate problem in the hierarchy of scheduling decision. A/xo'G  
23. The rule bases are linked to each other in a chin-like manner in XZ3)gYQi  
the sense that the consequent of one rule base constitutes a part of @y+Hb@ >.  
the antecedent of the next rule base. uFXu9f+  
24. The rule base consists of all possible combinations of the #&oL iz=hZ  
linguistic terms associated with the linguistic variable of the R, J(]ew  
antecedent of a rule. s .xJ},E9  
Computer System QnJ(C]cW  
1. The system has been implemented using Prolog language in an n>5/y c"/q  
MS-DOS environment. Prolog was chosen because it offers a well m:sT)  
known and flexible environment in which fuzzy reasoning may be uPvE;E_  
easily implemented. E7c!KJ2  
2. The current version of the xx program when compiled with r\x"nS  
WATFOR77 results in an executable code of about 270K bytes. h M/:zC:  
Typical run time, when run on a XX computer (an IBM compatible ^rP` . Z  
machine) operating at 4.77 Mhz with 640K RAM, ranges from 10 min chQCl3&e^  
to 2h, depending on the size (or complexity) of the problem. :v(fgS2\  
3. Time consuming procedures have been implemented in qa!3lb_'M  
C-language and directly linked to the Prolog environment. 4XCy>;4u  
4. The xx process, once the xx's data has been entered, requires O:hCUr  
approximately 180 seconds. u6pfc'GGg  
5. It should be noted that the computation was done with a 20 Hhz, .0gF&>I}  
80386..209;based microcomputer equipped with a 80387 math >3J?O96|f  
co-processor. x U1](O  
6. The computer programs used for the analyses, one based on the xx pod=|(c  
method and the other based on the new method, were written in "PI]k  
FORTRAN with a compiler that supports the math co-processor. ZtFOIb*  
7. Lisp, Prolog give maximum flexibility but also maximizes ;rK= jz^Q  
x KZLXQ'e-  
development time. 7 H~J ?_  
l Internal representation is the way a model is represented in the h\@\*Xz<v  
computer. -#e 3aXe  
l An interactive menu-driven procedure is used in this study 2L!wbeTb;  
l Shell can be develop very fast at the cost of time fairly severe 5Lo \[K >j  
limitations. qMj'%5/  
l While there is no measurable saving of time for the case involving pm.Zc'23  
five criteria, the saving is dramatic for the case involving 10 criteria *nj={Ss&  
-- the computation time reduces from 10 hr 40 min to about 1 min. 5R?[My  
l This combination is being implemented in an objected-oriented ?m RGFS  
programming environment (Smalltalk-80 system) to solve problems 42{\u08Z  
encountered in construction xxx. Rx}*I00  
Method / Approach / Study / Process Model / Equation /Algorithm / 3b#eB  
Rule / Formula / Technique \N[Z58R !z  
l A discussion is presented of a problem-solving system tE~OWjL  
l To improve the efficiency of the method, the following approach |lnMT)^D  
may be applied. d5hYOhO[  
l In order to an investigation was made to find the causes of the h !yu. v  
l Although large collections of rules and equations have been ^E)*i#."4  
complied, none are generally accepted $P{|^ou3a#  
l This approach will be explained and discussed thoroughly in the 5v fzSJ  
body of the report. H;eGBVi  
l This can be accomplished by {`Jr$*;  
l This algorithm to compute the total cost can be described step by qir/Sa' [  
step as follows: `[&) X  
l The above preliminary analysis has provided important KliMw*5(  
information s.zfiJ  
l Various methods have been proposed for selecting an optimum... 8n[6BF);  
l These concepts have been applied to G[pDKELL  
l On the basis of the concept mentioned above, 0# )I :5  
l This can be achieved by N 9.$--X}D  
l This fact suggests that a new concept I|`/#BYbW  
l This was accomplished by taking ... gc  y'"d"  
t=K;/ 1  
l The preparatory stage is very time consuming process. 4F-r}Fj3  
l Test are performed for validity, completeness, and compatibility O]XdPH20  
l There is little hope of achieving successful ... CSA.6uIT  
l There has been an increasing awareness of the potential of using w[WyT`6h!  
most ..so far made have not taken this approach, with the exception 8@}R_GZc  
of %y{f] m  
l Only a few studies can be found. sy ]k  
l It is a very tedious process to go through sW53g$`v  
l It is only when .. has been completed that .. may be effected \e=Iw"yd  
l The entire interpretation process is conducted in one's head. zm& D #)  
l These approaches are sometimes very tedious. FE0}V}\=h  
l Several techniques can be used 3k#?E]'  
l A polynomial parametric model can be written as [the $s*nh>@7  
following]/[follows]: QM"\;l??  
l A xx model is constructed/formulated using xx. d>RoH]K4  
l A xx model represents an xx by its xx. l@h|os  
l A process decision model captures the logic essential to )@IDmz>  
l From the equation above, xx is equal to the summation of xx x34 4}\  
times the ... 4/z K3%J  
l The validity of a xx model can be checked using Euler's formula. 0`LR!X  
l Given a model, one can mathematically determine whether ... or ... %gd {u\h^  
l Equations for xx need to be derived and implemented in the z]^u@]@NC  
system. <l:c O$ m  
l A number of heuristic rules have been developed for s>RtCw3,  
l Optimum .. techniques can be made more reliable by ... so that jHU5>Gt-}  
l An algorithm based on the characteristic ... is used to determine [SJ)4e|)  
l Euler's formula states the following: ;fdROI  
l The completed model should agree with the formula. L.E6~Rv  
l For manufacturing purposes, a detailed and precise model of the F+c4v A})  
object is necessary 2j*+^&M/  
l Engineering design models are very well defined; therefore, ( <Abw{BTm  
l To keep the domain narrow enough to be implementable, yet wide (i 3=XfZ!C  
enough to J&B>"s,  
be useful. ]]EOCGZ"  
bm</qF'T6  
Point of View dR^7d _!  
l from an implementation standpoint, pPa 3byWf  
l From the point of view of this application,  .# Jusd  
l From this point of view, Zadeh suggested an inference rule named hB !>*AsG  
xxx (CRI for short). ,4OH9 -Q1  
l Information is the meaningful interpretation and correlation of [!<W{ ($5  
some aggregation of data in order to allow one to make decisions. ::lD7@Wg  
l From a practical point of view, the computational aspects of an 0sQt+_Dl%L  
FLC require a simplification of the fuzzy control algorithm. (59u<F  
l The use of a hammer to insert screws, although partly effective, \qo}}I>e  
tends to distort, destroy, and generally defeat the purpose of using a 2i4&*& A  
screw [Kusiak AI Implications for CIM p.129] &nRbI:R  
Justification .!B>pp(9  
l We choose the so called xx in our experiment because it has R9!GDKts%  
received wide acceptance and can 3SeM:OYq]s  
l Prolog was chosen because it offers a well known and flexible <Rno ;  
environment in which fuzzy reasoning may be easily implemented. A_ftf 7,  
l The rationale behind this is that it can be much easier for an 3jJd)C R  
estimator to rate a cost as high than to attempt to place a dollar }(yX$ 3?`  
value on the estimate. $#HPwmd  
l This strategy has been widely used in fuzzy control applications D2@J4;UW*W  
since it is natural and easy to implement. u> @ Yoyc  
l A function definition expresses the membership function of a $3BH82  
fuzzy set in a functional form, typically a bell-shaped function, etc. zG|#__= T  
Such functions are used in FLC because they lead themselves to e=).0S`*F  
manipulation through the use of fuzzy arithmetic. G|LJOq7QB  
l It should be noted that in our daily life most of the information on $lC*q  
which our decisions are based is linguistic rather than numerical in "h84D&V  
nature. Seen in this perspective, fuzzy control rules provide a natural jkrv2 `"  
framework for the characterization of human behavior and decisions ]i@WZ(  
analysis. .Jvy0B} B  
l Many experts have found that fuzzy control rules provide a 0c,)T1NG>  
#A@d;U%  
convenient way to express their domain knowledge. This explains  Bm\OH#  
why most FLCs are based on the knowledge and experience which ?!{nNJ  
are expressed in the language of fuzzy "if-the" rule. 4_i6q u(4  
Chapter 4. Examples ;Q}pmBkqB  
Example/ Data 8 #_"WzDw  
l The data used in the following example was taken from an Li{R?Osx  
experiment in which xx was measured between x and x using a xx [? 1m6u;  
technique. fN-y8  
l The data consists of over xx measurements. ;/- X;!a>  
l An example of xx is discussed and the control rules of xx are yClbM5,  
compared with a xx @:M?Re`L  
l Examples of complex processes to which this technique may be l0sBXs`3b  
applied are xx, xx, etc. K]0K/~>8  
l The following example is constructed only for the purpose of OM1pyt  
illustrating the computational procedure discussed. }w%W A&"W  
l This example clearly demonstrates that the profile of an individual Q*c |!< &e  
xx, or a very small group of xx, with no enough data to be studied f|cF [&wo  
statistically, can be meaningfully analyzed by fuzzy possibilistic GO|EeM!i B  
methods. L[LgQ7es Q  
l There is no space here to go into detail on all these methods, but !arTR.b\  
deserve a mention and the bibliography will point to detailed Z^?YTykH  
references for those wishing this level of detail. y~jYGN  
l Note that the golf ball spotting example is used throughout the J ;e/S6l  
paper. KDW=x4*p  
Comparisons %J 'RO  
l As well, the pros and cons of these representations from a process |AS`MsbI9  
planning point of view will be discussed. wsg u# as|  
l The method of using xx to implement xx described by Zadeh j%Cr)' H?  
(1973) appeared more suitable Ac@ zTK6>  
l As discussed [in the previous section]/[preciously], }F;Nh7?  
K7 N)VG  
Relation {k#RWDespy  
l We can not invert F' directly because it defines a many-to-one Db5y";T  
mapping. 1M F0HiC  
l The relationships appear very complicate hV6=-QL*B  
l Lifting tasks involve complex and imprecise relationship between J jgy;*hM  
the task variables and the human operator's characteristics. J91O$szA  
l These methods are based on the relationship between ... and ... j& x=?jX  
l The fundamental concept of a fuzzy rating language is that we can =C[2"Y4JK0  
establish a relationship among terms such as high, medium, and low, 3IK+&hk  
and then modify these relationships. [61T$.  
l This article will thus mention the latter as well as the former. fsxZQ=-PW  
l The former two bear a close relation to a fuzzy Cartesian product. nnm9pnx  
Importance , 7kS#`P  
l The emphasis is on an implementation of a general approach to UFED*al#  
rule based decision making. !_|rVg.  
Consideration / Attention s7~[7  
l Careful evaluation is necessary to ensure ; {P"~(S%  
l Such a formulation does not change further considerations. mAFVjSa2  
l Considerable attention has been paid to ;Npv 2yAab  
l Attention should be paid to an important finding of this o9Z!Z ^  
investigation. >cEB ,@~  
l Caution should be exercised in this process to avoid ... Zk4(  
l Primary consideration is given to ... components, though others 2EdKxw3$]  
can be accommodated i7m=V T  
l After ... has been defined by ..., a carefully analysis is carried VgSk\:t  
out/performed to determine O+o4E?}  
l A number of factors such as ...need to be taken into consideration #{t?[JUn  
before making the appropriate decision. Nd"Rt  
l It should be noted that 2[*r9%W  
l It is important to point out that ... (;11xu  
l These considerations have heightened interest in the possibility of ~<%/)d0  
providing ... 8-wW?YTG  
M99g DN  
l We should stress the fundamental importance of the xx R`RLq1WA  
Chapter 5. Results. YJ&K0 %R  
Advantages / Disadvantage ~[CtsCiQ  
l One of the major advantages of this new measure of xx is that it ||lI_B  
can be applied to the experimental study of S!<1C Fh  
l One advantage of using a .. is the ease of preparing it. sc2nLyn$  
l The xx system is versatile Z(8'ki  
l It has a very fast decision making process _PPW9US{  
l All the algorithms involve mostly logical operations. g* NKY`,  
l It can be easily and without additional cost implemented in a ^Fl6-|^~  
microprocessor-based environment. R7L:U+*V"  
l It can reduce the waste of designing from scratch. Qr/8kWa0 C  
l The advantages of using a xx to represent xx are the following: _/W[=c   
l However, xx is not without its shortcomings. 5K;vdwSB  
l In most cases, the xxx shows an improvement over the existing Vs1j9P|G  
xxx. ? 9.V@+i  
l Compared to the existing xx, the impacts of the xx are generally %G<!&E!0h  
reduced by 5% to 9%. +P7A`{Ae  
l The "best case" results shows a savings of 6% to 9%. 5pBQ~m3  
l Most of the existing works based on xx approach can only n.{+\M6k  
recognize a xx . yn0OPjH  
l Most of the above methods are computational expansive and U8Pnt|0M  
limited to xx. +$#YW5wy  
l Some other advantages of xx are the following: r@xMb,!H  
l The problem is the limitation of this method to a limited domain of r@&d88U:  
parts. @)8QxI^3[  
l It proved limited in application because it demanded precision in cJ G><'  
system modeling that was impossible in practice. JTw'ecFev  
l There are advantages to be gained in the structuring of costs and JM#jg-z,~  
benefits, the use of xx, p_$03q>oQ  
l The disadvantages of this method are also disadvantages of ^@ GE1  
conventional xx approaches. ()}B]?  
APT'2 -I_  
l This combines the best features of both techniques # E'g{.N  
l Hopefully, this tool can be as the reference framework of for }b+tD3+  
developing a xx platform, and helping the administration, marketing, v/]Bo[a  
and knowledge management activities in virtual communities. jfyV9)  
Results H1uNlPT  
l An improvement on the result shown above can be made by based E'=~< &  
on the data provided .`!|^h%0  
l Discussion of these theories is beyond the scope of this review W"fdK_F\  
l Based on the information contained in this W:uIG-y~  
l The result can be categorized into nine classes $;%-<*Co  
l The results are illustrated by an example I"E5XVC);  
l The experimental results for each xx time are reported in Table 2. [8/E ;h  
l From the results obtained so far, it seem that D"F5-s7  
l Because of the inaccuracy of the ..., a conclusion cannot be drawn Ys10r-kDS  
as x`^~|Q  
l Although much effort has been made to., this reality is far from `j088<?j  
completion. JBdZ ]  
l The results indicate that the total benefits are higher than the @b2{'#9]}  
total costs. z3b8  
l Their results may then serve as guidelines for lower level models, !`vm7FN"u  
less fuzzy and more detailed. vBd^=O  
Chapter 6. Conclusion $Q1:>i@I|g  
l From the discussion, one may conclude that ... +nRO<  
l Form the above discussion, the conclusion can be reached that Z>Nr"7k  
l The conclusions drawn are also valid yqqP7  
l In conclusion to this, it becomes obvious that the problem of xx OWCd$c_(  
lies not only in... )Y @  
l We have attempted to introduce some concepts associated with a \;p5Pagx0-  
theory of 0@1AH<  
xx based on fuzzy sets. I ms?^`N  
l Considerable more work, hopefully, will be done in this area ~=P&wBnJ  
l A fuzzy set procedure is proposed to solve xx selection problems gNl@T  
*G$tfb(  
interwoven with imprecise data =35^k-VS  
l Employing the compositional rule of inference, the assessment of zl46E~"]x  
the xx compatibility in achieving prescribed xx projectiles in any 0R<@*  
level of the hierarchy is made possible. It!% /Y5  
l This paper has presented a theoretical and experimental study of R>[2}R30  
the xx process and xx concept. [zIX&fPk$  
l The experimental research results will hopefully serve as useful ~m y\{q  
feedback information for improvements for xx work. #\iQ`Q<B  
l The scope of this contribution was to introduce a xx method. ^~|P[}  
l In general, fuzzy sets theory provides an alternative foundation J@(=#z8xS  
for xx analysis in a fuzzy environment. { dwm>a  
Future Research Fkj\U^G  
l Thus, first extension of the approach could be, S #% 'Vrp  
l Present some cues for a further approach from Fuzzy Sets Theory Qs8iu`'  
application to %Vrl"4^}t  
l Some improvements to the scheduling aspect of the model may j% !   
be brought through additional levels in the hierarchy for more ,g@U *06  
detailed representation of the scheduling activity. {;);E  
Tables and Figures a*6x^R;)  
l Figure 7-1 sketches these relationships. jwyJ=W-  
l The graphical representation of these functions is shown in Figure $jo}?Y+  
1. `;*%5WD%  
l The xx may be depicted as in Figure 1. u2y?WcMv  
l Figure x shows the schematic diagram of the cIK-VmO  
l Figure 1 though 2 provide a ... that PDvqA{  
l the architecture of this expert system for .... is illustrated in Figure !0 `44Gbq  
2. h|mh_T{+  
l Figure 2 gives the outline of an ... system K=M5d^K<E  
l Table shows the kM*f9x  
l as shown in Table 1 and 2 20d[\P(.  
l This concept is illustrated in Figure 2 +dS e" W9  
l At the top of Table xx are shown two blocks of data. %A`f>v.7 c  
BM& 95p   
l Each table or matrix has constructs xx through xx as zGj0'!!-  
row-headings, \A*#a9"  
xx through xx as column-headings. F'*y2FC  
l A table of .. is developed and significant recommendations are ^;$a_eR  
made. }I}RqD:`  
CONJUGATION Tjn cW/\Z  
To Indicate Addition ])'22sY  
l additionally, again, also, and then, as can be easily understood, lE`hC#m  
besides, equally important, especially, finally, for the same reason, us"S M\X#  
first, further, furthermore, in addition, last, likewise, moreover, next, NcZ6!wWdE  
second, third, too, evidently, obviously, roughly speaking, broadly ~ULuX" n  
speaking mNc (  
To Indicate Cause and Effect L10Vq}W"  
l accordingly, as a result, consequently, for this reason, hence, in pjvChl5  
short, otherwise, then, therefore, thus, truly 73A1+2  
To indicate Comparison OvX z+C,  
l in a like manner, likewise, similarly , alternatively ^j[>.D   
To Indicate Concession K!7o#"GM  
l after all, although this may be true, at the same time, even though, m%m/#\J E  
even so , I admit, naturally, of course QK&<im-  
To Indicate Contrast (zwxrOS  
l and yet, at the same time, but, for all that, however, yet, in fact, in 8&qCH>Cf  
contrast, in the real life, in spite of, nevertheless, notwithstanding, 6{8qATLR  
normally, on the contrary, on the other hand, still, traditionally, Bbz#$M!:  
rather, unfortunately, sHm|&  
To Indicate Time Relationships: pR4{}=g,  
after a short time, afterwards, as indicated earlier, as long as, as soon HB\<nK  
{oy(08 `6  
as, at last, at length, at the moment, at that time, at the same time, 'vgw>\X(  
before, earlier, currently, immediately, in the meantime, in recent 8E H# IiP  
years, lately, later, meanwhile, often, of late, presently, recently, u3R0_8 _.w  
soon, shortly, since, thereupon, temporarily, therefore, until, when, 6k%N\!_TUW  
while GC?\GV  
To Indicate Special Features or Examples:  e-sMU  
for example, for instance, incidentally, indeed, in fact, in other words, (~?P7RnU%  
in particular, in practice, specifically, that is, to illustrate, in this 9`f]Rf"  
respect, theoretically, as mentioned before / above ;+>-uPT/1  
To Indicate Summary: x/ {  
in brief, in conclusion, in short, in summary, on the whole, to 8c`g{ *z  
conclude pa N )t  
, in general, to summarize, to sum up, as a result, ultimately, (=}U2GD*  
VERB PHASE X3tpW`alo  
l build a .. model )?^0<l#s  
l build up the key link  0$b)@  
l began a new era in ... 1/c7((]7(,  
l can be regarded as / achieved / used to/for / found / obtained PEW^Vl-6q  
through |Kky+*  
l can result in 4ZrX= e,  
l carries out ... tasks rbS67--]  
l production information in order to simultaneously rY4{,4V  
l contains all information necessary to describe U2\g Kg[-Q  
l do not make use of production information %Ui&SZ\  
l deals with biKom|<nm  
l end with failure r&@#,g  
l fetch the information from the model directly Bwj^9J/ob  
l has great potential / yet to be resolved / spurred the Rx<m+=  
development of /  vz #VW  
been recognized as w{f!t8C*s  
l BE aimed at / built up / carried out by / essentially concerned 7tP?([o%F  
*&9_+F8ly  
with / considered to be the key technology / associated with each Qu,W 3d  
feature of a compo G7yCGT)vQ  
site component / cable of / currently implemented for / X1?7}VO  
demonstrated by an example / finally reached / made equal to / DygMavA.  
equivalent to / more suitable to / oriented to / interpreted as / CMB:%  
pointed out / potentially of great benefit in the complex task of / 6*8"?S'  
shown in / used to effectively guide the search ivYHq#b59  
l makes use of /6jt 5N&,  
l make up 9\ZlRYnc=  
l meets the needs of real life production,/ the current demands 3B!lE(r%J  
placed upon it j&,,~ AZm  
l must be justified 7nM]E_  
l point out F$<>JEdX  
l play an important role S&_Z,mT./  
l relates to 4Xi _[ Xf  
l rely on }tA77Cm)45  
l satisfy the needs MkgeECMf  
l determine the total requirements for the ... Q xZYy}2  
l uses ... as a key to search for... *@/1]W  
l without relying on qp3J/(F  
l will be available/ performed/ overlooked B64L>7\>`  
NOUN PHASE 11t+ a,fM  
l a basic technical function of p vone,y2  
l a critical need {U@&hE -  
l a key / principle feature of l)tK/1 W  
l a substantial impact on  2f>G   
l an intensive review was conducted tmT/4Ia  
l an increasing need for expanding the application of .... nAIV]9RAZ%  
l an important component / function / aspect / issue YHBH9E/B  
l each rule is numbered in sequence tQ0iie1Ys  
l each of these involves ERD( qL.J  
l for this calculation, it is necessary to define `/?XvF\  
l in the physical environment / integration of [ u7p:?WDW  
_~~:@fy  
l in the reality of situations where … &j=Fx F9o  
l many aspects of ) H=}bqn  
l most past efforts have been spent on ... 3h t>eaHi  
l common sense to a well studied and documented technical field. S:!gj2q9|  
l sources of additional information on ... are listed 3j<:g%5  
l systematic and rationally structured format ` ;KU^dH  
l the basis on which a range of ...operations can be established is 5?6U@??]  
shown +9mE1$C  
l THE basic philosophy / principles of / key element / general  l Ozi|  
hypothesis / candidate list of / concept of ... has attracted wide !J#oN+AR  
interest / function is concerned with / heart / impact / nature / role )@lZ~01~d  
/ task of / kernel functions ^3~+|A98M  
l the number of parts needed to <zd_-Ysn  
l the above statement means that %#5\^4$z|N  
l the output data is passed to R"@J*\;$T  
l the proposed method / underlying principle 4}0DEH.Vx  
l the recommendations made in this report, if implemented, should DJ&ni`  
l this information resides in 4wLN#dpeEy  
l this process is composed of ... different ... operation \tv^],^`  
l along with the use of War<a#0  
l concerning general aspects of O5rHN;\_  
l due to ]oOSL=~c  
l for later use in generating..., %63zQFk  
l in turn, ++>HU{  
l IT IS believed / noted / assumed / suggested / shown / quite u.\F Na  
evident / appears / implies that / intended for / of no important to *[VO03  
l it can be claimed/concluded that _:N+mEF  
l it demonstrates the decisions required of r'|Vz*/h  
l it also provides information to .. l]g /rs  
l it becomes essential to 6_UCRo5h%  
l let ... be the probability that 7(8i~}  
l once... is written, it is compiled into... $] ])FM"b  
l suppose it is observed that @=i- *U  
l this is because <@F.qMl  
9F~e^v]zp  
l this results in a 2wCSjAWWh(  
l upon completion of the ... analysis, :| s  
l when the knowledge is of mathematics or quantum physics, it will egXHp<bqw  
also be %-nYK3  
recorded in books and papers \C{Dui) F  
l selection of rules for using the tools, for generating operation QD8.C=2R  
plans, |2L|Zp&  
is another matter of preference, since practice varies greatly. ^uWPbW&/q  
l for the sake of convenience l1M %   
l correct decision to be reach kVmR v.zZ  
l keeping the number of rules to a minimum. CI#6 r8u  
l a good process plan will result exhibiting several characteristics: Yh["IhjR  
l practical solutions }Pm; xHnf&  
l because of rather small job lot sizes s/0bX M$^  
l Backward reasoning can be used to answer the question "should O> LqpZ  
milling tool be select" different level of knowledge in the realm of VZ]}9k  
process planning
评价一下你浏览此帖子的感受

精彩

感动

搞笑

开心

愤怒

无聊

灌水

  
级别: 初级博友
显示用户信息 
沙发  发表于: 2007-11-14   
Very useful, thank u!
描述
快速回复

验证问题:
2+6=? 正确答案:8
按"Ctrl+Enter"直接提交