Inference in Fuzzy Models of Physical Processes
Bohdan S.Butkiewicz1
Warsaw University of Technology,Institute of Electronic Systems,
00-665Warsaw,Poland
"B.Butkiewicz"bb@https://www.doczj.com/doc/0c13150280.html,.pl
https://www.doczj.com/doc/0c13150280.html,.pl/~bb/index.html
Abstract.General idea of the paper is comparison of di?erent reasoning
methods,which may be used in some types of fuzzy models.Di?erent
triangular norms and defuzzi?cation methods were used.It is shown
that many reasoning methods give similar results.However,many of
them are not very reasonable.Some simple theorems about functions
approximated by models are presented.Special attention is applied to
modeling of physical processes.Examples of models used in reality are
presented.Some of them are build as modi?cations of Takagi-Sugeno
model introduced earlier by author.
1Introduction
There are many classes of fuzzy models.One of possible classi?cation was given by Pedrycz[10].He arranged model categories in order of an increased level of structural dependencies.The least structured category appears?rst on the list –tabular representations
–fuzzy grammars
–fuzzy relational equations
–fuzzy neural networks
–rule based models
–local regression models
–fuzzy regression models
In the paper,analyze of this categories is performed from point of view of possi-ble applications in modeling of physical processes.Fuzzy grammar[9]models are used for describing time series and signal classi?ers.Fuzzy relational equation models were largely studying by Pedrycz,Nola,Hirota,and some others mainly from theoretical point of view.It seems that these models are good for system identi?cation.Tabular,rule based,and local regression models are studying in the paper.Most popular reasoning:Mamdani[8],Larsen[7],Tsukamoto[13], and Takagi-Sugeno[12]are considered.Special attention is applied to inference methods used during approximate reasoning to obtain good results.General-ized Mamdani and generalized Larsen reasoning are used with di?erent triangu-lar norms and some other https://www.doczj.com/doc/0c13150280.html,parison of results obtained for some models of physical processes are presented.
B.Reusch(Ed.):Fuzzy Days2001,LNCS2206,pp.782–790,2001.
c Springer-Verlag Berlin Heidelberg2001
Inference in Fuzzy Models of Physical Processes 783
2
Description of Models 2.1Tabular Models
Tabular model has a form of a table,where basic relations between linguistic labels of inputs and outputs are presented.Relations describing dynamics of sin-gle input single output (SISO)system of ?rst order may be presented as a single table.Rows and colons denote linguistic values of input and derivative of input.In the table are placed linguistic values of output.The model is very popular in fuzzy modeling and control.It may presents,for example,fuzzy controller of proportional-derivative (PD)type.
Tabular model may be suitable for physical processes,especially when we have no much information about process behavior.Example,steam boiler may be described by quantity of supplied water and fuel,temperature and pressure inside of boiler and quantity of outgoing https://www.doczj.com/doc/0c13150280.html,ing linguistic values small,medium,large,low,medium,high steady-state behavior of boiler may be described.But good description of dynamics requires knowledge about time constant and may be other parameters,so requires analytical description of process.Tabular model is suitable also for simple discrete systems.
Some theoretical and practical results obtained in fuzzy control area [2][3],and examples presented in the paper show that general Mamdani reasoning,where operations minimum and maximum were replaced by di?erent triangular t-norms and s-norms,is good for this type of model.Moreover,for di?erent tri-angular norms the results are similar,so it is not very important what pair of norms is used during reasoning.Also the results are identical if rules are used in aggregated form or not.Consider now a simple example of a function y =f (x )with saturation describing by seven rules
R1:if x is P L then y is P L
R2:if x is P M then y is P M
R3:if x is P S then y is P S
R4:if x is ZE then y is ZE
and symmetrically for negative values.If Mamdani,Larsen,Tsukamoto or Takagi-Sugeno model is used then rule weights equals to membership value μ{.}(x )of x for respective set {.}.Height,areas,and gravity defuzzi?cation methods are weighted means y =
i y i w i i w i
(1)Also Tsukamoto model use weighted mean.Suppose that membership func-tions μ{.}(x )have symmetrical triangular shape with trapezes at the end of universum [-10,10].Thus,membership is linear function μ{.}(x )=a i x +b i where a i ,b i are constant in some regions.If height defuzzi?cation method is used then values y i are independent on weight w i ,except trapezes.So,y = y i (a i x +b i )/ (a i x +b i ).Similar situation is observed for Larsen model.The results are presented in the Fig.1.Generally,a theorem may be easy proofed.Theorem 1
Suppose that membership functions are symmetric and described in di?erent
784 B.S.Butkiewicz
regions by polynomials of n-th order.If Mamdani or Larsen models are used with height defuzzi?cation method then models are described piecewise by ratio-nal functions y =a n x n +a n ?1x n ?1+...+a 0b n x n +b n ?1x n ?1+...+b 0
(2)Now,consider Tsukamoto method.Let similarly μ{.}(x )=a i x +b i .Functions
Fig.1.Mamdani model with height defuzzi?cation,logic (left),Yager (right)opera-tions
μ{.}(y )=c i |y |and values y i =μ{.}?1(w i )=w i /c i .So,y =[ (a i x +b i )2/c i ]/ (a i x +b i ).Generally,one obtains theorem.
Fig.2.Mamdani (left)and Larsen (right)models with area defuzzi?cation and logic operations
Theorem 2
If membership functions are symmetric and described in di?erent regions by poly-nomials of n-th order and Tsukamoto model is used then model is described
Inference in Fuzzy Models of Physical Processes 785
piecewise by rational functions
y =a n x 2n +a 2n ?1x n ?1+...+a 0b n x n +b n ?1x n ?1+...+b 0(3)
Finally,consider Mamdani and Larsen models with areas and gravity methods.For symmetrical triangular shapes values y i are constant but areas S i depend on the weights w i in square S i =A (1?w i /2)w i .Thus,for areas method y = S i w i / S i = Ay i (a i x +b i )[1?(a i x +b i )2/2]/ A (a i x +bi )[1?(a i x +bi )2/2].General dependence is more complicated.An example is presented in the Fig.2.Two other examples of Mamdani and Tsukamoto models are shown in the https://www.doczj.com/doc/0c13150280.html,parison of models with Mamdani,Larsen and Tsukamoto
Fig.3.Mamdani model with gravity defuzzi?cation (left)and Tsukamoto model (right)both with algebraic operations
reasoning with di?erent triangular norms and defuzzi?cation methods shows that choice of triangular norm has no big in?uence on the result,curves obtained are very similar.Grater in?uence has defuzzi?cation method,especially when height method is compared with areas and gravity.Mamdani and Larsen models give similar results.Tsukamoto model is di?erent.
Some interesting results concerning equivalence of approximated reasoning using di?erent interpretation of fuzzy if-then rules and aggregation problem are presented in [6].
Sometimes one uses Wang model.It was proofed,(Wang theorem [14])that any continuous function may be exactly approximated by fuzzy tabular model with gaussian membership functions for input and consequences.Gaussian func-tions are not very convenient to use and may have nothing common with physical process behavior.
If we have some knowledge about functional relations between process vari-ables it is better to use Takagi Sugeno model.
786 B.S.Butkiewicz
2.2Rule-based Models
This type of models is the most popular.This approach to modeling seems more general.The rules may contain heterogeneous form,and di?erent statements Rules can be graduated by word quanti?https://www.doczj.com/doc/0c13150280.html,plex analyze is impossible,because of possible system and rules diversity.
It seems that rule based models are good for situations where non numerical values are expected as decision or model output,example possibility that output take some linguistic value.It may describe some sociological,medical and other decision problems.
An example of model supporting human decision for personnel selection in tourist agency is presented below.Suppose that chief of agency looks for a can-didate,which can work as a guide.The candidate ought to:
–known at least two languages among English,French,German,Spain in very high level
–known history and geography of a region in high level
–know-how to use telefax,xserox,computer
–have pleasant sight at least in satisfactory level
–be responsible and patient in high level
–be able to resolve unexpected problems at least in medium level
–................
Let the candidate ful?ll each feature with some level.For example he has a note from an exam or something like this.There are several candidates.Who is the best?Any numerical value of the candidate feature can be treated as fuzzy number with membership μC (x ).Any requirement can be described by fuzzy set with membership μR (x ).Overlapping membership functions it is possible to ?nd level l =max {min [μC (x ),μR (x )]}of feature satisfaction.Finding weighted sum w i l i ,where w i are weight of i ?th feature choused before,it is possible to ?nd the best candidate.Other good solution is put l =max [μC (x )μR (x )].
2.3Local Regression Models
This models are the best if we have some,may be not exact,mathematical de-scription for physical process.However,the model can be used also without this knowledge.Takagi-Sugeno model may be considered under some conditions [15]as universal approximator.Very popular is Takagi-Sugeno-Kang model (TSK)
[11]use linear functions as local approximations.Author experience shown that using other than linear functions,example polynomials of second order,with-out real knowledge of local system behavior,not gives better approximation.Contrary,the results can be considered as bad,i.e.not justi?ed by any reason.Modi?cation of TSK model
The TSK model may describe su?ciently well any continuouse function y =f (x 1,x 2,...,x n ).However,the model has one very important inconvenience.Sup-pose that model describe a function y =f (x )and is composed with two rules if x is Small then y =a 1x +b 1
Inference in Fuzzy Models of Physical Processes787 if x is Large then y=a2x+b2
If conventional triangular or trapezoidal functions are use for membership func-tions of fuzzy sets of x,here for Large and Small,see Fig.4(left),then non expected e?ect arise,see Fig.4(right)and5,and[1].In intermediate region parabolic distortion appears.Thus,the model is worth than conventional crisp model with two linear functions and two separated regions.Of course,it is pos-
Fig.4.Membership functions for x(left),TSK model and chord(right)
sible use conventional spline convolution model for better approximation,but it is complicated.Author proposed in[4]some simple modi?cation of TSK model which can avoid inconvenience of TSK model.Suppose that we have some exper-imental data forming two straight lines with di?erent slopes and an intermediate region.TSK model gives function g(x).Two lines in separate regions may be joined directly in intermediate region by chord line c(x),but this solution is not very good.However,is is possible?nd better solution.In intermediate region the weighted mean
u(x)=g(x)+λc(x)
1+λ
(4)
can be taken as model value,whereλis a constant choosed experimentally for good approximation of the data.The result is shown in the Fig.5.The data represent strange e?ect of optical property relaxation observed in chalkogenide viteouse semiconductor glasses after gamma irradiation[5].
Very interesting property of Takagi-Sugeno model is possibility of knowledge discovering.If mathematical description of some phenomena is known,building this model for unknown process we may verify what phenomena are observed in this process.Presented example shown that two e?ects are discovered using model built for relaxation process of optical properties in chalcogenides.After gamma irradiation along the time T elapse transparency of semiconductor glass changes in accordance with two di?erent lows.Membership functions of the model give appropriate regions for the lows.
2.4Fuzzy Regression Models
Sometimes it is not possible to introduce in the model all variables,which have in?uence on physical process.Simply,these variables are not measured or are not
788 B.S.Butkiewicz
Fig.5.TSK model without modi?cation(left)and after modi?cation(right) possible to measure.However,the model must take often in consideration in?u-ence of these variables.An example of such situation may be sintering process.It depends on actual total mass of details in the furnace,ambient temperature not possible to preview many days before etc.Reasonable solution is to build fuzzy regression model where conclusion is a fuzzy number or fuzzy function or/and to build fuzzy-probability model where conclusion is random variable or function. In this way additional uncertainty may be introduced.
Numerical considerations concerning inference method are limited to an ex-ample of model of sintering process.Di?erent components,as Cu,MnS,C (graphite),StZn are added to iron powder.Exact description of physical and chemical changes during sintering is unknown,because of their complexity.Thus, mathematical model can not be built.Main task of model was preview geomet-rical changes of detail dimensions after sintering process,taking in consideration proportion of powder components,temperature in sintering zone of the furnace, velocity of tape transporting details in the furnace,and initial density of pressed powder.It was impossible to gathered data in special way.Production process can not be interrupted.However,some specimens with di?erent components were prepared and put in the furnace together with produced details.Thus,some data for the model were very di?cult to compare,and results were sometimes dis-crepant.First,rule-based model was built.Mamdani and Larsen methods are compared.After,modi?ed Takagi Sugeno model is proposed and accepted.The rules have form
if Cu is S and C is S then?h=f1(Cu,C,σ1)
if Cu is S and C is M then?h=f2(Cu,C,σ2) ...................................
if StZn is S then?h=f10(StZn,σ10) ...................................
if T emp is L and T ime is L then?h=f17(T emp,T ime,σ17)
where?h describes changes of any parameter,example the height of detail,vari-ables Cu,C,StZn,...contents of the powder components,and variables T emp, T ime the temperature and time in sintering zone of the furnace.Variablesσi
Inference in Fuzzy Models of Physical Processes789 have a special task.Functions f i are fuzzy functions.Its values are fuzzy num-bers with trapezoidal shapes of membership functions.Valueσi desribe width of trapezes,so it describe uncertainty.It is approximate model of the process. Any rule may be considered as multidimensional cloud with di?erent density. Example of this fuzzy surface is presented in the Fig.6.
Fig.6.Example of fuzzy surface for rule1.Stars represent center value of fuzzy num-bers,points minimal and maximal values
3Conclusion
Physical processes may be modeled in two ways depending on knowledge of mathematical relations between process variables.Without any knowledge,rule-based fuzzy Mamdani and Larsen models or Takagi-Sugeno-Kang fuzzy regres-sion model with linear functions can be build.In many types of models Mamdani reasoning with logic operation(minimum and maximum)is used.Author expe-rience shows that also other triangular norms,ex.algebraic operations,can be used with success.However,many operations give similar results.In the paper only a few examples are presented,but author have tried many other triangular https://www.doczj.com/doc/0c13150280.html,rsen reasoning is underestimated.It gives also good results and often is easier in numerical applications then Mamdani.If we have some knowledge in the form of functional dependencies for relations between variables,we may use these functions as conclusions in some rules in Takagi-Sugeno fuzzy regres-sion model.Theoretically it is the best solution in this case,but practically it is di?cult to?nd the best shape of membership functions,so estimation of model parameters is complicated.If standard triangular or trapezoidal shape for mem-bership functions is used then strange e?ect arises in intermediate regions,shown as example presented in the paper.Therefore,author proposed new solution for Takagi-Sugeno model.In intermediate region weighted mean of standard model and chord joining ends of intermediate region is introduced.
790 B.S.Butkiewicz
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比较级与最高级 1.as...as 与(not) as(so)...as as...as...句型中，as的词性 第一个as是副词，用在形容词和副词的原级前，常译为“同样地”。第二个as是连词，连接与前面句子结构相同的一个句子(相同部分常省略)，可译为“同..... He is as tall as his brother is (tall) . (后面的as 为连词) 只有在否定句中，第一个as才可换为so 改错: He is so tall as his brother.（X） 2.在比较状语从句中，主句和从句的句式结构一般是相同的 与as...as 句式中第二个as一样，than 也是连词。as和than这两个连词后面的从句的结构与前面的句子大部分情况下结构是相同的，相同部分可以省略。 He picked more apples than she did. 完整的表达为: He picked more apples than she picked apples. 后而的picked apples和前面相同，用did 替代。 He walked as slowly as she did.完整表达为: He walked as slowly as she walked slowly. she后面walked slowly与前面相同，用did替代。
3.谓语的替代 在as和than 引导的比较状语从句中，由于句式同前面 主句相同，为避免重复，常把主句中出现而从句中又出现的动词用do的适当形式来代替。 John speaks German as fluently as Mary does. 4.前后的比较对象应一致 不管后面连词是than 还是as,前后的比较对象应一致。The weather of Beijing is colder than Guangzhou. x than前面比较对象是“天气”，than 后面比较对象是“广州”，不能相比较。应改为: The weather of Bejing is colder than that of Guangzhou. 再如: His handwriting is as good as me. 应改为: His handwriting is as good as mine. 5.可以修饰比较级的词 常用来修饰比较级的词或短语有: Much,even,far,a little,a lot,a bit,by far,rather,any,still,a great deal等。 by far的用法: 用于强调，意为“...得多”“最最...”“显然”等，可修饰形容词或副词的比较级和最高级，通常置于其后，但是若比较级或最高级前有冠词，则可置于其前或其后。
The way 的用法 Ⅰ常见用法： 1)the way+ that 2)the way + in which（最为正式的用法） 3)the way + 省略（最为自然的用法） 举例：I like the way in which he talks. I like the way that he talks. I like the way he talks. Ⅱ习惯用法： 在当代美国英语中，the way用作为副词的对格，“the way+ 从句”实际上相当于一个状语从句来修饰整个句子。 1)The way =as I am talking to you just the way I’d talk to my own child. He did not do it the way his friends did. Most fruits are naturally sweet and we can eat them just the way they are—all we have to do is to clean and peel them. 2）The way= according to the way/ judging from the way The way you answer the question, you are an excellent student. The way most people look at you, you’d think trash man is a monster. 3）The way =how/ how much No one can imagine the way he missed her. 4）The way =because
人教版（新目标）初中英语形容词与副词的比较级与最高级 （一）规则变化： 1．绝大多数的单音节和少数双音节词，加词尾-er ，-est tall—taller—tallest 2．以不发音的e结尾的单音节词和少数以-le结尾的双音节词只加-r，-st nice—nicer—nicest , able—abler—ablest 3．以一个辅音字母结尾的重读闭音节词或少数双音节词，双写结尾的辅音字母，再加-er，-est big—bigger—biggest 4．以辅音字母加y结尾的双音节词，改y为i再加-er，-est easy—easier—easiest 5．少数以-er，-ow结尾的双音节词末尾加-er，-est clever—cleverer—cleverest, narrow—narrower—narrowest 6．其他双音节词和多音节词，在前面加more，most来构成比较级和最高级 easily—more easily—most easily （二）不规则变化 常见的有： good / well—better—best ; bad (ly)/ ill—worse—worst ; old—older/elder—oldest/eldest many / much—more—most ; little—less—least ; far—farther/further—farthest/furthest
用法： 1．原级比较：as + adj./adv. +as（否定为not so/as + adj./adv. +as）当as… as中间有名字时，采用as + adj. + a + n.或as + many / much + n. This is as good an example as the other is . I can carry as much paper as you can. 表示倍数的词或其他程度副词做修饰语时放在as的前面 This room is twice as big as that one. 倍数+as+adj.+as = 倍数+the +n.+of Your room is twice as larger as mine. = Your room is twice the size of mine. 2．比较级+ than 比较级前可加程度状语much, still, even, far, a lot, a little, three years. five times,20%等 He is three years older than I (am). 表示“（两个中）较……的那个”时，比较级前常加the（后面有名字时前面才能加冠词） He is the taller of the two brothers. / He is taller than his two brothers. Which is larger, Canada or Australia? / Which is the larger country, Canada or Australia? 可用比较级形式表示最高级概念，关键是要用或或否定词等把一事物（或人）与其他同类事物（或人）相分离 He is taller than any other boy / anybody else.
大多数形容词有三种形式,原级,比较级和最高级, 以表示形容词说明的性质在程度上的不同。 形容词的原级: 形容词的原级形式就是词典中出现的形容词的原形。例如: poor tall great glad bad 形容词的比较级和最高级: 形容词的比较级和最高级形式是在形容词的原级形式的基础上变化的。分为规则变化和不规则变化。 规则变化如下: 1) 单音节形容词的比较级和最高级形式是在词尾加 -er 和 -est 构成。 great (原级) (比较级) (最高级) 2) 以 -e 结尾的单音节形容词的比较级和最高级是在词尾加 -r 和 -st 构成。wide (原级) (比较级) (最高级) 3)少数以-y, -er, -ow, -ble结尾的双音节形容词的比较级和最高级是在词尾加 -er 和 -est 构成。 clever(原级) (比较级) (最高级) 4) 以 -y 结尾,但 -y 前是辅音字母的形容词的比较级和最高级是把 -y 去掉,加上 -ier 和-est 构成. happy (原形) (比较级) (最高级) 5) 以一个辅音字母结尾其前面的元音字母发短元音的形容词的比较级和最高级是双写该辅音字母然后再加 -er和-est。 big (原级) (比较级) (最高级) 6) 双音节和多音节形容词的比较级和最高级需用more 和 most 加在形容词前面来构成。 beautiful (原级) (比较级) (比较级) difficult (原级) (最高级) (最高级) 常用的不规则变化的形容词的比较级和最高级: 原级------比较级------最高级 good------better------best many------more------most much------more------most bad------worse------worst far------farther, further------farthest, furthest 形容词前如加 less 和 least 则表示"较不"和"最不 形容词比较级的用法: 形容词的比较级用于两个人或事物的比较,其结构形式如下: 主语+谓语(系动词)+ 形容词比较级+than+ 对比成分。也就是, 含有形容词比较级的主句+than+从句。注意从句常常省去意义上和主句相同的部分, 而只剩下对比的成分。
The way的用法及其含义（二） 二、the way在句中的语法作用 the way在句中可以作主语、宾语或表语： 1.作主语 The way you are doing it is completely crazy.你这个干法简直发疯。 The way she puts on that accent really irritates me. 她故意操那种口音的样子实在令我恼火。The way she behaved towards him was utterly ruthless. 她对待他真是无情至极。 Words are important, but the way a person stands, folds his or her arms or moves his or her hands can also give us information about his or her feelings. 言语固然重要,但人的站姿,抱臂的方式和手势也回告诉我们他(她)的情感。 2.作宾语 I hate the way she stared at me.我讨厌她盯我看的样子。 We like the way that her hair hangs down.我们喜欢她的头发笔直地垂下来。 You could tell she was foreign by the way she was dressed. 从她的穿著就可以看出她是外国人。 She could not hide her amusement at the way he was dancing. 她见他跳舞的姿势，忍俊不禁。 3.作表语 This is the way the accident happened.这就是事故如何发生的。 Believe it or not, that's the way it is. 信不信由你, 反正事情就是这样。 That's the way I look at it, too. 我也是这么想。 That was the way minority nationalities were treated in old China. 那就是少数民族在旧中
英语比较级和最高级的用法归纳 在学习英语过程中，会遇到很多的语法问题，比如比较级和最高级的用法，对于 这些语法你能够掌握吗？下面是小编整理的英语比较级和最高级的用法，欢迎阅读！ 英语比较级和最高级的用法 一、形容词、副词的比较级和最高级的构成规则 1.一般单音节词和少数以-er，-ow结尾的双音节词，比较级在后面加-er，最高级 在后面加-est; (1)单音节词 如：small→smaller→smallest short→shorter→shortest tall→taller→tallest great→greater→greatest (2)双音节词 如：clever→cleverer→cleverest narrow→narrower→narrowest 2.以不发音e结尾的单音节词，比较在原级后加-r，最高级在原级后加-st; 如：large→larger→largest nice→nicer→nicest able→abler→ablest 3.在重读闭音节(即：辅音+元音+辅音)中，先双写末尾的辅音字母，比较级加-er，最高级加-est; 如：big→bigger→biggest hot→hotter→hottest fat→fatter→fattest 4.以“辅音字母+y”结尾的双音节词，把y改为i，比较级加-er，最高级加-est; 如：easy→easier→easiest heavy→heavier→heaviest busy→busier→busiest happy→happier→happiest 5.其他双音节词和多音节词，比较级在前面加more，最高级在前面加most; 如：bea utiful→more beautiful→most beautiful different→more different→most different easily→more easily→most easily 注意：(1)形容词最高级前通常必须用定冠词 the，副词最高级前可不用。 例句： The Sahara is the biggest desert in the world. (2) 形容词most前面没有the，不表示最高级的含义，只表示"非常"。 It is a most important problem. =It is a very important problem.
定冠词the的用法： 定冠词the与指示代词this ,that同源,有“那(这)个”的意思,但较弱,可以和一个名词连用,来表示某个或某些特定的人或东西. (1)特指双方都明白的人或物 Take the medicine.把药吃了. (2)上文提到过的人或事 He bought a house.他买了幢房子. I've been to the house.我去过那幢房子. (3)指世界上独一无二的事物 the sun ,the sky ,the moon, the earth (4)单数名词连用表示一类事物 the dollar 美元 the fox 狐狸 或与形容词或分词连用,表示一类人 the rich 富人 the living 生者 (5)用在序数词和形容词最高级,及形容词等前面 Where do you live?你住在哪? I live on the second floor.我住在二楼. That's the very thing I've been looking for.那正是我要找的东西. (6)与复数名词连用,指整个群体 They are the teachers of this school.(指全体教师) They are teachers of this school.(指部分教师) (7)表示所有,相当于物主代词,用在表示身体部位的名词前 She caught me by the arm.她抓住了我的手臂. (8)用在某些有普通名词构成的国家名称,机关团体,阶级等专有名词前 the People's Republic of China 中华人民共和国 the United States 美国 (9)用在表示乐器的名词前 She plays the piano.她会弹钢琴. (10)用在姓氏的复数名词之前,表示一家人 the Greens 格林一家人(或格林夫妇) (11)用在惯用语中 in the day, in the morning... the day before yesterday, the next morning... in the sky... in the dark... in the end... on the whole, by the way...
More than的用法 A. “More than+名词”表示“不仅仅是” 1)Modern science is more than a large amount of information. 2)Jason is more than a lecturer; he is a writer, too. 3) We need more than material wealth to build our country.建设我们国家，不仅仅需要物质财富. B. “More than+数词”含“以上”或“不止”之意，如： 4)I have known David for more than 20 years. 5)Let's carry out the test with more than the sample copy. 6) More than one person has made this suggestion. 不止一人提过这个建议. C. “More than+形容词”等于“很”或“非常”的意思，如： 7)In doing scientific experiments, one must be more than careful with the instruments. 8)I assure you I am more than glad to help you. D. more than + (that)从句，其基本意义是“超过（=over）”，但可译成“简直不”“远非”.难以，完全不能（其后通常连用情态动词can） 9) That is more than I can understand . 那非我所能懂的. 10) That is more than I can tell. 那事我实在不明白。 11) The heat there was more than he could stand. 那儿的炎热程度是他所不能忍受的 此外，“more than”也在一些惯用语中出现，如： more...than 的用法 1. 比……多，比……更 He has more books than me. 他的书比我多。 He is more careful than the others. 他比其他人更仔细。 2. 与其……不如 He is more lucky than clever. 与其说他聪明，不如说他幸运。 He is more （a）scholar than （a）teacher. 与其说他是位教师，不如说他是位学者。 注：该句型主要用于同一个人或物在两个不同性质或特征等方面的比较，其中的比较级必须用加more 的形式，不能用加词尾-er 的形式。 No more than/not more than 1. no more than 的意思是“仅仅”“只有”“最多不超过”，强调少。如： --This test takes no more than thirty minutes. 这个测验只要30分钟。 --The pub was no more than half full. 该酒吧的上座率最多不超过五成。-For thirty years，he had done no more than he （had）needed to. 30年来，他只干了他需要干的工作。 2. not more than 为more than （多于）的否定式，其意为“不多于”“不超过”。如：Not more than 10 guests came to her birthday party. 来参加她的生日宴会的客人不超过十人。 比较： She has no more than three hats. 她只有3顶帽子。（太少了） She has not more than three hats. 她至多有3顶帽子。（也许不到3顶帽子） I have no more than five yuan in my pocket. 我口袋里的钱最多不过5元。（言其少） I have not more than five yuan in my pocket. 我口袋里的钱不多于5元。（也许不到5元） more than, less than 的用法 1. （指数量）不到，不足 It’s less than half an hour’s drive from here. 开车到那里不到半个钟头。 In less than an hour he finished the work. 没要上一个小时，他就完成了工作。 2. 比……（小）少 She eats less than she should. 她吃得比她应该吃的少。 Half the group felt they spent less than average. 半数人觉得他们的花费低于平均水平。 more…than,/no more than/not more than (1)Mr．Li is ________ a professor; he is also a famous scientist． (2)As I had ________ five dollars with me, I couldn’t afford the new jacket then． (3)He had to work at the age of ________ twelve． (4)There were ________ ten chairs in the room．However, the number of the children is twelve． (5)If you tel l your father what you’ve done, he’ll be ________ angry． (6)－What did you think of this novel? －I was disappointed to find it ________ interesting ________ that one． 倍数表达法 1. “倍数+形容词（或副词）的比较级+than+从句”表示“A比B大（长、高、宽等）多少倍” This rope is twice longer than that one.这根绳是那根绳的三倍（比那根绳长两倍）。The car runs twice faster than that truck.这辆小车的速度比那辆卡车快两倍（是那辆卡车的三倍）。 2. “倍数+as+形容词或副词的原级+as+从句”表示“A正好是B的多少倍”。
“tｈｅwａｙ+从句”结构的意义及用法 首先让我们来看下面这个句子: Ｒead the foｌloｗｉnｇpassagｅａnd talkａbout ｉt wi ｔh your classmaｔes．Try tｏｔeｌl whaｔyｏu thiｎk ｏf Tom aｎd ｏｆｔhe ｗay the chiｌｄrenｔrｅated ｈim. 在这个句子中，ｔhe waｙ是先行词,后面是省略了关系副词that或in whｉch的定语从句。 下面我们将叙述“the ｗaｙ+从句”结构的用法。 1.tｈe wａy之后，引导定语从句的关系词是tｈat而不是hoｗ,因此，<<现代英语惯用法词典＞＞中所给出的下面两个句子是错误的：Ｔhｉs is ｔｈeｗayｈowｉtｈａppened. This is the way how he ａlwａｙs treats me. 2．在正式语体中,thaｔ可被in which所代替;在非正式语体中，ｔhat则往往省略。由此我们得到theｗay后接定语从句时的三种模式：1) tｈe ｗaｙ＋ｔhａt-从句２）the way +ｉn whiｃh－从句3) the ｗay +从句 例如：Ｔｈe way(in whiｃh ，thａt) ｔhｅｓｅｃomｒade ｓloｏｋａｔｐrobｌems is wrong．这些同志看问题的方法
不对。 Ｔｈｅｗａy(that ,ｉn ｗhiｃh)yoｕ’ｒe doinｇit is comple ｔeｌy crａzy.你这么个干法,简直发疯。 Wｅａdmiｒｅd him for thｅｗay ｉｎｗhｉch he fａｃeｓdiｆficultieｓ． Waｌlａｃe ａｎd Ｄarwiｎｇreed ｏn the way ｉｎwhi ｃh ｄｉfｆｅrｅnt forms ｏf life had ｂegｕn.华莱士和达尔文对不同类型的生物是如何起源的持相同的观点。 Thｉs is ｔｈe ｗaｙ（tｈａｔ) hｅdｉd it. I lｉkeｄｔhe waｙ(ｔhat) ｓｈeｏｒganized ｔhe ｍeetｉng． 3.theｗay(tｈat)有时可以与hｏw(作“如何”解）通用。例如： That’s tｈe ｗaｙ(tｈaｔ) shｅspoke. = Tｈat’s how shｅspoke.
初中英语比较级和最高级讲解与练习 形容词比较级和最高级 一．绝大多数形容词有三种形式,原级,比较级和最高级, 以表示形容词说明的性质在程度上的不同。 1. 形容词的原级: 形容词的原级形式就是词典中出现的形容词的原形。例如: poor tall great glad bad 2. 形容词的比较级和最高级: 形容词的比较级和最高级形式是在形容词的原级形式的基 础上变化的。分为规则变化和不规则变化。 二．形容词比较级和最高级规则变化如下: 1) 单音节形容词的比较级和最高级形式是在词尾加-er 和-est 构成。 great (原级) greater(比较级) greatest(最高级) 2) 以-e 结尾的单音节形容词的比较级和最高级是在词尾加-r 和-st 构成。 wide (原级) wider (比较级) widest (最高级) 3) 少数以-y, -er, -ow, -ble结尾的双音节形容词的比较级和最高级是在词尾加 -er 和-est构成。 clever(原级) cleverer(比较级) cleverest(最高级)， slow(原级) slower(比较级) slowest (最高级) 4) 以-y 结尾,但-y 前是辅音字母的形容词的比较级和最高级是把-y 去掉,加上-ier 和-est 构成. happy (原形) happier (比较级) happiest (最高级) 5) 以一个辅音字母结尾其前面的元音字母发短元音的形容词的比较级和最高级是双写该 辅音字母然后再加-er和-est。 原形比较级最高级原形比较级最高级 big bigger biggest hot hotter hottest red redder reddest thin thinner thinnest 6) 双音节和多音节形容词的比较级和最高级需用more 和most 加在形容词前面来构 成。 原形比较级最高级 careful careful more careful most careful difficult more difficult most difficult delicious more delicious most delicious 7)常用的不规则变化的形容词的比较级和最高级: 原级比较级最高级 good better best 好的 well better best 身体好的 bad worse worst 坏的 ill worse worst 病的 many more most 许多 much more most 许多 few less least 少数几个 little less least 少数一点儿 （little littler littlest 小的） far further furthest 远（指更进一步，深度。亦可指更远） far farther farthest 远（指更远，路程）
表示“方式”、“方法”，注意以下用法： 1.表示用某种方法或按某种方式，通常用介词in(此介词有时可省略)。如： Do it (in) your own way. 按你自己的方法做吧。 Please do not talk (in) that way. 请不要那样说。 2.表示做某事的方式或方法，其后可接不定式或of doing sth。 如： It’s the best way of studying [to study] English. 这是学习英语的最好方法。 There are different ways to do [of doing] it. 做这事有不同的办法。 3.其后通常可直接跟一个定语从句(不用任何引导词)，也可跟由that 或in which 引导的定语从句，但是其后的从句不能由how 来引导。如： 我不喜欢他说话的态度。 正：I don’t like the way he spoke. 正：I don’t like the way that he spoke. 正：I don’t like the way in which he spoke. 误：I don’t like the way how he spoke. 4.注意以下各句the way 的用法： That’s the way (=how) he spoke. 那就是他说话的方式。 Nobody else loves you the way(=as) I do. 没有人像我这样爱你。 The way (=According as) you are studying now, you won’tmake much progress. 根据你现在学习情况来看，你不会有多大的进步。 2007年陕西省高考英语中有这样一道单项填空题： ——I think he is taking an active part insocial work. ——I agree with you_____. A、in a way B、on the way C、by the way D、in the way 此题答案选A。要想弄清为什么选A，而不选其他几项，则要弄清选项中含way的四个短语的不同意义和用法，下面我们就对此作一归纳和小结。 一、in a way的用法 表示：在一定程度上，从某方面说。如： In a way he was right.在某种程度上他是对的。注：in a way也可说成in one way。 二、on the way的用法 1、表示：即将来(去)，就要来(去)。如： Spring is on the way.春天快到了。 I'd better be on my way soon.我最好还是快点儿走。 Radio forecasts said a sixth-grade wind was on the way.无线电预报说将有六级大风。 2、表示：在路上，在行进中。如： He stopped for breakfast on the way.他中途停下吃早点。 We had some good laughs on the way.我们在路上好好笑了一阵子。 3、表示：(婴儿)尚未出生。如： She has two children with another one on the way.她有两个孩子，现在还怀着一个。 She's got five children，and another one is on the way.她已经有5个孩子了，另一个又快生了。 三、by the way的用法
形容词比较级和最高级的形式 一、形容词比较级和最高级的构成 形容词的比较级和最高级变化形式规则如下 构成法原级比较级最高级 ①一般单音节词末尾加 er 和 est strong stronger strongest ②单音节词如果以 e结尾，只加 r 和 st strange stranger strangest ③闭音节单音节词如末尾只有一个辅音字母， 须先双写这个辅音字母，再加 er和 est sad big hot sadder bigger hotter saddest biggest hottest ④少数以 y, er(或 ure), ow, ble结尾的双音节词， 末尾加 er和 est(以 y结尾的词，如 y前是辅音字母， 把y变成i，再加 er和 est，以 e结尾的词仍 只加 r和 st) angry Clever Narrow Noble angrier Cleverer narrower nobler angriest cleverest narrowest noblest ⑤其他双音节和多音节词都在前面加单词more和most different more different most different 1) The most high 〔A〕mountain in 〔B〕the world is Mount Everest，which is situated 〔C〕in Nepal and is twenty nine thousand one hundred and fourty one feet high 〔D〕 . 2) This house is spaciouser 〔A〕than that 〔B〕white 〔C〕one I bought in Rapid City，South Dakota 〔D〕last year. 3) Research in the social 〔A〕sciences often proves difficulter 〔B〕than similar 〔C〕work in the physical 〔D〕sciences. 二、形容词比较级或最高级的特殊形式：
比较级和最高级 1.在形容词词尾加上―er‖ ―est‖ 构成比较级、最高级： bright（明亮的）—brighter—brightest broad（广阔的）—broader—broadest cheap（便宜的）—cheaper—cheapest clean（干净的）—cleaner—cleanest clever（聪明的）—cleverer—cleverest cold（寒冷的）—colder—coldest cool（凉的）—cooler—coolest dark（黑暗的）—darker—darkest dear（贵的）—dearer—dearest deep（深的）—deeper—deepest fast（迅速的）—faster—fastest few（少的）—fewer—fewest great（伟大的）—greater—greatest hard（困难的,硬的）—harder—hardest high（高的）—higher—highest kind（善良的）—kinder—kindest light（轻的）—lighter—lightest long（长的）—longer—longest loud（响亮的）—louder—loudest low（低的）—lower—lowest near（近的）—nearer—nearest new（新的）—newer—newest poor（穷的）—poorer—poorest quick（快的）—quicker—quickest quiet（安静的）—quieter—quietest rich（富裕的）—richer—richest short（短的）—shorter—shortest slow（慢的）—slower—slowest small（小的）—smaller—smallest smart（聪明的）—smarter—smartest soft（柔软的）—softer—softest strong（强壮的）—stronger—strongest sweet（甜的）—sweeter—sweetest tall（高的）-taller-tallest thick（厚的）—thicker—thickest warm（温暖的）—warmer—warmest weak（弱的）—weaker—weakest young（年轻的）—younger—youngest 2.双写最后一个字母,再加上―er‖ ―est‖构成比较级、最高级： big（大的）—bigger—biggest fat（胖的）—fatter—fattest hot（热的）—hotter—hottest red（红的）—redder—reddest sad（伤心的）—sadder—saddest thin（瘦的）—thinner—thinnest wet（湿的）—wetter—wettest mad（疯的）—madder—maddest 3.以不发音的字母e结尾的形容词,加上―r‖ ―st‖ 构成比较级、最高级：able（能干的）—abler—ablest brave（勇敢的）—braver—bravest close（接近的）—closer—closest fine（好的,完美的）—finer—finest large（巨大的）—larger—largest late（迟的）—later—latest nice（好的）—nicer—nicest ripe（成熟的）—riper—ripest
The way的用法及其含义（一） 有这样一个句子：In 1770 the room was completed the way she wanted. 1770年，这间琥珀屋按照她的要求完成了。 the way在句中的语法作用是什么？其意义如何？在阅读时，学生经常会碰到一些含有the way 的句子，如：No one knows the way he invented the machine. He did not do the experiment the way his teacher told him.等等。他们对the way 的用法和含义比较模糊。在这几个句子中，the way之后的部分都是定语从句。第一句的意思是，“没人知道他是怎样发明这台机器的。”the way的意思相当于how；第二句的意思是，“他没有按照老师说的那样做实验。”the way 的意思相当于as。在In 1770 the room was completed the way she wanted.这句话中，the way也是as的含义。随着现代英语的发展，the way的用法已越来越普遍了。下面，我们从the way的语法作用和意义等方面做一考查和分析： 一、the way作先行词，后接定语从句 以下3种表达都是正确的。例如：“我喜欢她笑的样子。” 1. the way+ in which +从句 I like the way in which she smiles. 2. the way+ that +从句 I like the way that she smiles. 3. the way + 从句(省略了in which或that) I like the way she smiles. 又如：“火灾如何发生的，有好几种说法。” 1. There were several theories about the way in which the fire started. 2. There were several theories about the way that the fire started.
英语语法---比较级和最高级的用法 在英语中通常用下列方式表示的词:在形容词或副词前加more(如 more natural,more clearly )或加后缀 -er(newer,sooner )。典型的是指形容词或副词所表示的质、量或关系的增加。英语句子中，将比较两个主体的方法叫做“比较句型”。其中，像“A比B更……”的表达方式称为比较级；而“A最……”的表达方式则称为最高级。组成句子的方式是将形容词或副词变化成比较级或最高级的形态。 一、形容词、副词的比较级和最高级的构成规则 1．一般单音节词和少数以-er，-ow结尾的双音节词，比较级在后面加-er，最高级在后面加-est； （1）单音节词 如：small→smaller→smallest short→shorter→shortest tall→taller→tallest great→greater→greatest （2）双音节词 如：clever→cleverer→cleverest narrow→narrower→narrowest 2．以不发音e结尾的单音节词，比较在原级后加-r，最高级在原级后加-st； 如：large→larger→largest nice→nicer→nicest able→abler→ablest 3．在重读闭音节（即：辅音＋元音＋辅音）中，先双写末尾的辅音字母，比较级加-er，最高级加-est； 如：big→bigger→biggest hot→hotter→hottest fat→fatter→fattest 4．以“辅音字母＋y”结尾的双音节词，把y改为i，比较级加-er，最高级加-est； 如：easy→easier→easiest heavy→heavier→heaviest busy→busier→busiest happy→happier→happiest 5．其他双音节词和多音节词，比较级在前面加more，最高级在前面加most； 如：beautiful→more beautiful→most beautiful different→more different→most different easily→more easily→most easily