7_A Computational Theory of Dispositions-1984

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  • 8/9/2019 7_A Computational Theory of Dispositions-1984

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    A COMPUTATIONAL THEORY OF DISPOSITIONS

    Lotfi A. ZadehComp uter Science DivisionUniversity of California,Berkeley, Californ ia 94720, U.S.A.

    A B S T R A C TInformally, a d i s p o s i t i o n is a proposition which is prepon-derantl y, but no necessarily always, true. For example, b i rdsc a n f l y is a disposition, as are the propositions S w e d e s a r eb l o n d and S p a n i a r d s a r e d a r k .An idea which underlies the theory described in thispaper is that a disposition may be viewed as a propositionwith implicit fuzzy quantifiers which are approximations to a lland a l w a y s , e.g., a l m o s t a l l, a l m o s t a l w a y s , m o s t , f r e q u e n t l y ,etc. For example, b i r d s c a n f l y may be interpreted as theresult of supressing the fuzzy quantifier m o s t in the proposi-tion m o s t b i r d s c a n f ly . Similarly, y o u n g m e n l i k e y o u n g w o m e nmay be read as m o s t y o u n g m e n l i k e m o s t l y y o u n g w o m e n . Theprocess of transforming a disposition into a proposition is

    referred to as e z p l i c i t a t i o n or r e s t o r a t i o n .Explicitation sets the stage for representing the meaningof a proposition through the use of test-score semantics(Zadeh, 1978, 1982). In this appr oach to semantics, the mean-ing of a proposition, p, is represented as a procedure whichtests, scores and aggregates the elastic constraints which areinduced by p.The paper closes with a description of an approach toreasoning with dispositions which is based on the concept of afuzzy syllogism. Syllogistic reasoning with dispositions has animpo rtan t bearing on commonsense reasoning as well as onthe man ageme nt of uncerta inty in expert systems. As a sim-ple application of the techniques described in this paper, weformulate a definition of t y p i c a l i t y - a concept which plays animportant role in human cognition and is of relevance todefault reasoning.

    1 . In t roduc t ionInformally, a disposition is a proposition which is prepon-derantly, but not necessarily always, true. Simple examples ofdispositions are: S m o k i n g i s a d d i c t iv e , e x e r c i s e i s g o o d f o r y o u rh e a l t h , l o n g s e n t e n c e s a r e m o r e d i f f ic u l t t o p a r s e t h a n s h o r t s e n -t e n c e s , o v e r e a t i n g c a u s e s o b e s i t y , T r u d i i s a l w a y s r i g h t , etc.Dispositions play a central role in human reasoning, sincemuch of human knowledge and, especially, commousenseknowledge, may be viewed as a collection of dispositions.

    The concept of a disposition gives rise to a number ofrelated concepts among which is the concept of a d i s p o s i t i o n a lp r e d i c a t e . Familiar examples of unary predicates of this typeare: H e a l t h y , h o n e s t , o p t i m i s t , s a f e , etc., with binary disposi-tional p redicates exemplified by: t a l l er than in S w e d e s a r e t a l l e rt h a n F r e n c h m e n , l i k e in I t a l i a n s a r e l i k e S p a n i a r d s , l i k e iny o u n 9 m e n l ik e y o u n g w o m e n , and s m o k e s in R o n s m o k e sc igare t t es . Another related concept is that of a d i s p o s i t i o n a lc o m m a n d {or i m p e r a t i v e ) which is exemplified by p r o c e e d w i t hc a u t i o n , a v o i d o v e r e x e r t i o n , k e e p u n d e r r e f r i g e r a t i o n , b e f r a n k ,etc.To Protessor Nancy Cartwright. Research supported in part by NASAGrant NCC2-275 and NSF Grant IST-8320416.

    The basic idea underlying the approach described in thispaper is th at a disposition may be viewed as a propositio nwith suppressed, or, more generally, implicit fuzzy quantifierssuch as m o s t ~ a l m o s t a ll , a l m o s t a l w a y s , u s u a l l y , r a r e l y , m u c h o fth e t i m e , etc . To illustrate, the disposition g e s t a t i n g c a u s e so b e s i t y may be viewed as the result of suppression of the fuzzyquantifier m o s t in the proposition m o s t o f t h o s e w h o o v e r e a tare obese. Similarly, the disposition y o u n g m e n l i k e y o u n gw o m e n may be interpreted as m o s t y o u n g m e n l i k e m o s t l yy o u n g w o m e n . It should be stressed, however, that r e s t o r a t i o n(or e z p l i c i t a t i o n ) - - viewed as the inverse of suppression - is aninterpretati on-dependent process in the sense that, in general,a disposition may be interpreted in different ways dependingon the manner in which the fuzzy quantifiers are restored anddefined.

    The implicit presence of fuzzy quantifiers stands in theway of representing the meaning of dispositional conceptsthrough the use of conventional methods based on truth-conditional, possible-world or model-theoretic semantics(Cresswell, 1973; McCawley, 1981; Miller and Johnson-Laird,1970),~-tn the c omputa tional a pproach which is described inthis paper, a fuzzy quantifier is manipulated as a fuzzynumber. This idea serves two purposes. First, it provides abasis for representing the meaning of dispositions; and second,it opens a way of reasoning with dispositions through the useof a collection of syllogisms. This aspect of the concept of adisposition is of relevance to default reasoning and non-monotonic logic (McCarthy , 19 80; McDermo tt and Doyle,1980; McDermott, 1982; Reiter, 1983).To illustrate the ma nner in which fuzzy quantifiers may

    be manipulated as fuzzy numbers, assume that, after restora-tion, tw o dispo sitions d I and d 2 may be expressed as proposi-tions of the formP l A Q t A t s a r e B I s (1.1)

    P 2 A Q 2 B e s a r e C I s , (1.2)in which Ql and Q2 are fuzzy quantifiers, and A, B and C arefuzzy predicates. For example,

    P l & - m o s t s t u d e n t s a r e u n d e r g r a d u a t e s (1.3)P 2 ~ m o s t u n d e r g r a d u a t e s a r e y o u n g .

    By treating Pl and P2 as the major and minor premises ina syllogism, the following c h a i n i n g syllogism may be esta-blished if B C A (Zadeh, 1983):

    1. In the literature of linguistics, ogic and philosophyof languages, fuz-zy quantifiers are usually referred to as ~agne or generalized quantifiers(Barwise and Cooper, 1981; Peterson, 1979). In the approach describedin this paper, a fuszy quantifier s interpreted as a fuzzy number whichprovides an approximate characterization of absolute or relative cardi-nality.

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    Q 1 A ' s o r e B t s (1.4)Q : B I s a r e C I s> _ ( QI ~ Q 2 ) A # s a r e C ' s

    i n w h i c h Q 1 ~ Q 2 r e p r e s e n t s t h e p r o d u c t o f t h e f u z z yn u m b e r s Q I a n d Q 2 ( F i g u r e 1 ).

    I I1

    - / / / - - - ; O s s o l @[ a = b cP r o p o r t i o n

    0 2

    F i g u r e 1 . M u l t i p l i c a t i o n o f f u z z y q u a n t i f ie r s

    a n d ~ _ ( Q l ~ Q : t ) s h o u l d b e r e a d a s " a t le a s t Q 1 ~ Q 2 . " A ss h o w n i n F i g u r e 1 , Q ~ a n d Q 2 a r e d e f in e d b y t h e i r r e s p e c t i v ep o s s i b i l i ty d i s t r i b u t i o n s , w h i c h m e a n s t h a t i f t h e v a l u e o f Q 1a t t h e p o i n t u i s a , t h e n a r e p r e s e n t s t h e p o s s i b i l it y t h a t t h ep r o p o r t i o n o f A ~s in B ~s is u .I n t h e s p e c i a l c a s e w h e r e P l a n d P 2 a r e e x p r e s s e d b y( 1 .3 ) , t h e c h a i n i n g s y l l og i s m y i e l d s

    m o s t s t u d e n t s a r e u n d e r g r a d u a t e sm o s t n n d e r q r a d n a t e s a r e v o u n qm o s t 2 s t u d e n t s a r e y o u n g

    w h e r e m o s t ~ r e p r e s e n t s t h e p r o d u c t o f t h e f u z z y n u m b e r m o s tw i t h i t s e l f ( F i g u r e 2 ) .

    /zI

    / /m o s t =

    m o s t

    Propor t i onF i g u r e 2 . R e p r e s e n t a t i o n o f m o s t a n d m o s t 2 .

    2 . M e a n i n g R e p r e s e n t a t i o n a n d T e s t - S c o r e S e m a n t i c sT o r e p r e s e n t t h e m e a n i n g o f a d is p o s i t i o n , d , ~ e e m p l o ya t w o - s t a g e p r o c e s s . F i r s t , t h e s u p p r e s s e d f u z z y q u a n t i f i e r s i nd a r e r e s t o r e d , r e s u l t i n g i n a f u z z i l y q u a n t i f i e d p r o p o s i t i o n p .T h e n , t h e m e a n i n g o f p i s r e p r e s e n t e d - - t h r o u g h t h e u s e o ft e s t - sco r e sem an t i c s ( Zad eh , 1 9 78 , 1 98 2 ) - a s a p r o ce d u r ew h i c h a c t s o n a c o l l e c t i o n o f r e l a t io n s i n a n e x p l a n a t o r y d a t a -b a s e a n d r e t u r n s a t e s t s c o r e w h i c h r e p r e s e n t s t h e d e g r e e o f

    c o m p a t i b i l i t y o f p w i t h t h e d a t a b a s e . I n ef f ec t , t h i s i m p l ie st h a t p m a y b e v i e w e d a s a c o l l e c t io n o f e l a s t ic c o n s t r a i n t sw h i c h a r e t e s t e d , s c o r e d a n d a g g r e g a t e d b y t h e m e a n i n g -r e p r e s e n t a t i o n p r o c e d u r e . I n t e s t - s c o r e s e m a n t i c s , t h e s e e l a s t i cc o n s t r a i n t s p l a y a r o l e w h i c h i s a n a l o g o u s t o t h a t t r u t h -c o n d i t i o n s i n t r u t h - c o n d i t i o n a l s e m a n t i c s ( C r es s w e l l , 1 9 73 ) .A s a s i m p l e i l l u s t r a t i o n , c o n s i d e r t h e f a m i l i a r e x a m p l e

    d A s n o w is w h i t ew h i c h w e i n t e r p r e t a s a d i s p o s i t i o n w h o s e i n t e n d e d m e a n i n g i st h e p r o p o s i t i o n

    p A u s u a l l y s n o w i s w h i t e .T o r e p r e s e n t t h e m e a n i n g o f p , w e a s s um e t h a t t h e e z p l a n a -t o r y d a t a b a s e , E D F ( Z a d e h , 1 9 8 2 ) , c o n s i s t s o f t h e f o l l o w i n gr e l a ti o n s w h o s e m e a n i n g i s p r e s u m e d t o b e k n o w n

    E D F A W H I T E [S am p le ;p ] + U S U A L L Y [ P r o p o r t i o n ; p ] ,i n w h i c h + s h o u l d b e r e a d a s and . T h e i t h r o w i n W H I T E isa t u p l e ( S i , r i ) , i = 1 , . . . , m , i n w h i c h S i i s t h e i t h s a m p l e o fs n o w , a n d r i i s i s t h e d e g r e e t o w h i c h t h e c o l o r o f S i m a t c h e sw h i t e . T h u s , r i m a y b e i n t e r p r e t e d a s t h e t e s t s c o r e fo r t h ec o n s t r a i n t o n t h e c o l o r o f S i i n d u c e d b y t h e e l a s ti c c o n s t r a i n tW H I T E . S i m i l a r l y , t h e r e l a t i o n U S U A L L Y m a y b e i n t e r -p r e t e d a s a n e l a s t i c c o n s t r a i n t o n t h e v a r i a b l e P r o p o r t i o n , w i t hp r e p r e s e n t i n g t h e t e s t s c o r e a s s o c i a t e d w i t h a n u m e r i c a l v a l u eo f P r o p o r t i o n .

    T h e s t e p s i n t h e p r o c e d u r e w h i c h r e p r e s e n t s t h e m e a n i n go f p m a y b e d e s c r i b e d a s f o ll o w s :1 . F i n d t h e p r o p o r t i o n o f s a m p l e s w h o s e c o l o r i s w h i t e :

    r l -k -b r mm

    i n w h i c h t h e p r o p o r t i o n i s e x p r e s s e d a s t h e a r i t h -m e t i c a v e r a g e o f t h e t e s t s c o r e s .2 . C o m p u t e t h e d e g r e e t o w h i c h s a t i s fi e s t h e c o n -s t r a i n t i n d u c e d b y U S U A L L Y :

    r ~ ~ U S U A L L Y [ P r o p o r t i o n ~ p] ,i n wh ic h r i s t h e o v e r a l l t e s t sco r e , i .e ., t h e d eg r ee o fc o m p a t i b i l i t y o f p w i t h E D , a n d t h e n o t a t i o n~ R [ X = a ] m e a n s : S e t t h e v a r i a b l e X i n t h e r e l a-t i o n R e q u a l t o a a n d r e a d t h e v a l u e o f t h e v a r i a b l ep .

    M o r e g e n e r a l l y , t o r e p r e s e n t t h e m e a n i n g o f a d i s p o s i t i o ni t i s n e c e s s a r y t o d e f i n e t h e c a r d i n a l i t y o f a f u z z y s e t .Sp ec i f i c a l l y , i f A i s a su b se t o f a f i n i t e u n iv e r se o f d i sco u r seU - -- - { u l , . . . , u , } , t h e n t h e s i g m a - c o u n t o f A i s d e f in ed a s~Count(A ) = I : ~ p A ( U ~ ) , ( 2 . 1 )

    i n w h i c h p A ( U i ) , i - - -- l , . . . , n , i s t h e g r a d e o f m e m b e r s h i p o f u /i n A ( Z a d e h , 1 9 8 3 a ) , a n d i t i s u n d e r s t o o d t h a t t h e s u m m a y b er o u n d e d , i f n e e d b e , t o t h e n e a r e s t i n t e g e r . F u r t h e r m o r e , o n em a y s t i p u l a t e t h a t t h e t e r m s w h o s e g r a d e o f m e m b e r s h i p f al lsb e l o w a s p e c i f i e d t h r e s h o l d b e e x c l u d e d f r o m t h e s u m m a t i o n .T h e p u r p o s e o f s u c h a n e x c l u s i o n i s t o a v o i d a s i t u a t i o n i nw h i c h a l a r g e n u m b e r o f t e r m s w i t h l o w g r a de s o f m e m b e r s h i pb e c o m e c o u n t - e q u i v a l e n t t o a s m a l l n u m b e r o f t e r m s w i t h h i g hm e m b e r s h i p .T h e r e l a ti v e s i g m a - c o u n t , d e n o t e d b y ~ C o u n t ( B / A ) , m a y

    b e i n t e r p r e t e d a s t h e p r o p o r t i o n o f e l e m e n t s o f B i n A . M o r eex p l i c i t l y ,~ C o u n t ( B / A ) - - ~ ~ C o u n t ( A f l B ) ( 2 . 2 )

    E C o u n t ( a ) 'w h e r e B D A , t h e i n t e r s e c t i o n o f B a n d A , is d e f i n e d b y

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    i t B n A ( U ) f U S / U ) ^ U S (U ) , U e U ,w h e r e A d e n o t e s t h e s i n o p e r a t o r in i n fi x f o r m . T h u s , i nt e r m s o f t h e m e m b e r s h i p f u n c t i o n s o f B a n d A , t h e r e l a t i v es l g m a - c o u n t o f B a n d A i s g i v e n b y

    ~,#B(u,) A t i n ( u , )Z C o u n t ( B / A } = ( 2 . 3 }~ , t J a ( u , )A s a n i l l u s t r a t i o n , c o n s i d e r t h e d i s p o s i t i o n

    d A o v e r a t i n g c a u s e s o b e s i t y (2 .4)w h i c h a f t e r r e s t o r a t i o n i s a s s u m e d t o r e a d 2

    p A m o s t o f t h o s e w h o o v e r e a t a re o b e s e . (2 .5)T o r e p r e s e n t t h e m e a n i n g o f p , w e s h a l l e m p l o y a n e x p l a -n a t o r y d a t a b a s e w h o s e c o n s t i t u e n t r e l a ti o n s a r e:

    E D F ~ - P O P U L A T I O N [ N o m e ; O v e re a t; O be se ]+ M O S T ( P r o p o r t i o n ; i t ] .

    T h e r e l a t i o n P O P U L A T I O N i s a l i s t o f n am es o f i n d iv id u a l s ,w i t h t h e v a r i a b l e s O v e r e a t a n d O b e s e r e p r e s e n t i n g , r e s p e c -t i v e l y , t h e d e g r e e s t o w h i c h N a m e o v e r e a t s a n d i s o b e s e . I nM O S T , p i s t h e d e g r e e t o w h i c h a n u m e r i c a l v a l u e o f P r o p o r -t i o n f it s t h e i n t e n d e d m e a n i n g o f M O S T .T o t e s t p r o c e d u r e w h i c h r e p r e s e n ts t h e m e a n i n g o f pi n v o l v e s t h e f o l l o w i n g s t e p s .

    1 . Le t N a m e ~ , i - - 1 . .. . m , b e t h e n a m e o f i t h i n d i v i -d u a l i n P O P U L A T I O N . F o r e a c h N a m e , f i n d t h ed e g r e e s t o w h i c h N a m e i o v e r e a t s a n d i s o b e s e :a i A P OV ER EA r ( N a m e i ) A 0 . . . . t P O P U L A T / O N ( N a m e = N a m e i ]

    # , A I to n E sE ( N a m e i } ~ o 6 , , P O P U L A T l O N [ N a m e ~ N a m e i ] .2 . C o m p u t e t h e r e l a ti v e s i g m a - c o u n t o f O B E S E inO V E R E A T :

    = i a i A #ip @ ~ C o u n t ( O B E S E / O V E R E A T ) = E , a i3 . C o m p u t e t h e t e s t s c o r e f o r t h e c o n s t r a i n t i n d u c e db y M O S T :

    r - ~ ~ M O S T [ P r o p o r t i o n --~ p ] .T h i s t e s t s c o r e r e p r e s e n t s t h e c o m p a t i b i l i t y o f p w i t h t h e

    e x p l a n a t o r y d a t a b a s e .3 . T h e S c o p e o f a F u z z y Q u a n t i f i e r

    I n d e a l i n g w i t h t h e c o n v e n t i o n a l q u a n t i f i e r s al l a n d s o m ei n f l i n t - o r d e r l o g i c , t h e sco p e o f a q u an t i f i e r p l ay s an e ssen t i a lr o l e in d e f in in g i ts m ean in g . I n t h e ca se o f a f u zzy q u an t i f i e rw h i c h i s c h a r a c t e r i z e d b y a r e l a ti v e s i g m a - c o u n t , w h a t m a t t e r si s t h e i d e n t i t y o f t h e s e t s w h i c h e n t e r i n t o t h e r e l a t i v e c o u n t .T h u s , i f t h e s i g m a - c o u n t i s o f t h e f o r m E C o u n t ( B / A ), w h i c hs h o u l d b e r e a d a s t h e p r o p o r ti o n o f B I s i n A I s , t h e n B a n dA wi l l b e r e f e r r ed t o a s t h e n - s e t [ w i t h n s t a n d i n g f o r n u m e r a -t o r ) a n d b - s e t ( w i t h b s t a n d i n g f o r b as e ) , r e s p e c t iv e l y . T h eo r d e r e d p a i r { n - s e t, b - s e t } , t h e n , m a y b e v i e w e d a ~ a g e n e r a l i-za t i o n o f t h e co n cep t o f t h e sco p e o f a q u an t i f i e r . No te , h o w-ev e r , t h a t , i n t h i s sen se , t h e sco p e o f a f u zzy q u an t i f i e r i s as e m a n t i c r a t h e r t h a n s y n t a c t i c c o n c e p t.A s a s i m p l e i l l u s t r a t i o n , c o n s i d e r t h e p r o p o s i t i o np A m o s t s tu d e n t s a r e u n d e r g r a d u a t e s . I n t h i s c a se , t h e n -se t o f m o s t i s u n d e r g r a d u a t e s , t h e b - s e t i s s t u d e n t s , a n d t h esco p e o f m o s t i s t h e p a i r { u n d e r g r a d u a t e s , s t u d e n t s } .

    2. It should be understood that (2.5) is just one of m any possible in-terpret~.tions of (2.4), with no imp licat;on tha t is constitutes a prescrip-tive interpretation of causa lity. See Suppes (1970}.

    A s a n a d d i t i o n a l i l l u s t r a t i o n o f t h e i n t e r a c t i o n b e t w e e ns c o p e a n d m e a n i n g , c o n s i d e r t h e d i s p o s i t i o nd A y o u n g m e n l i k e y o u n g w o m e n . (3 .1)

    A m o n g t h e p o s s i b le i n t e r p r e t a t i o n s o f t h i s d i s p o s i t i o n , w es h a l l fo c u s o u r a t t e n t i o n o n t h e f o l l o w i n g ( t h e s y m b o l r dd e n o t e s a r e s t o r a t i o n o f a d i s p o s i t i o n ) :r d I A m o s t y o u n g m e n l i k e m o s t y o u n g w o m e n

    r d 2 A m o s t y o u n g m e n l i k e mostlyy o u n g w o m e n .T o p l a c e i n e v i d e n c e t h e d i f f e r e n c e b e t w e e n r d I a n d r d z ,i t is e x p e d i e n t t o e x p r e s s t h e m i n t h e f o r m

    r d l - ~ - m o s t y o u n g m e n P Ir d 2 ~ m o s t y o u n g m e n P 2 ,

    w h e r e P l a n d P 2 a r e t h e f u z z y p r e d i c a t e sP l A l i ke s m o s t y o u n g w o m e n

    a n dP 2 A l ik e s m o s t l y y o u n g w o m e n ,

    w i t h t h e u n d e r s t a n d i n g t h a t , f o r g r a m m a t i c a l c o r r e c tn e s s , l i kesi n P I a n d P 2 s h o u l d b e r e p l a c e d b y l lke w h e n P l a n d P 2 a c ta s c o n s t i t u e n t s o f r d I a n d r d 2 . I n m o r e e x p l i c i t t e r m s ,P I a n d P 2 m a y b e e xp r e s s e d a sP I A P , [ N a m e ; p ] ( 3 . 2 )

    P 2 ~ - P 2 [ N a m e ; p ] ,i n w h i c h N a m e i s t h e n a m e o f a m a l e p e r s o n a n d # i s t h ed e g r e e t o w h i c h t h e p e r s o n i n q u e s t i o n s a t i s f i e s t h e p r e d i c a t e .[ E q u i v a l e n t l y , p i s t h e g r a d e o f m e m b e r s h i p o f t h e p e r s o n i nt h e f u z z y s e t w h i c h r e p r e s e n t s t h e d e n o t a t i o n o r , e q u i v a l e n t l y ,t h e e x t e n s i o n o f t h e p r e d i c a t e . )

    T o r e p r e s e n t t h e m e a n i n g o f P I a n d P 2 t h r o u g h t h e u s eo f t e s t - s c o r e s e m a n t i c s , w e a s s u m e t h a t t h e e x p l a n a t o r y d a t a -b a s e c o n s i s t s o f t h e f o l l o w i n g r e l a t i o n s ( g a d e h , 1 9 8 3 b ):E D F A P O P U L A T I O N ( N a m e ; Ag e ; S ex ] +L l K E [ N a m e l ; N a m e 2 ; p ] + Y O U N G ( A g e ; p ] +M O S T ( P r o p o r t i o n ; It] .

    In L I K E , i t i s t h e d e g r e e t o w h i c h N a m e l l i k e s N a m e 9 ;a n d i n Y O U N G , i t i s t h e d e g r e e t o w h i c h a p e r s o n w h o s e a g e i sA g e i s y o u n g .

    F i r s t , w e s h a l l r e p r e s e n t t h e m e a n i n g o f P I b y t h e f o ll o w -i n g t e s t p r o c e d u r e .1 . Div ide P O P U L A T I O N i n t o t h e p o p u l a t i o n o f m a l e s ,M . P O P U L A T I O N , a n d t h e p o p u l a t i o n o f f e m a l e s ,F . P O P U L A T IO N :

    M . P O P U L A T I O N A N . . . A g, P O P U L A T I O N [ S e z -- - M a l e ]F . P O P U L A T O N A N e,,,,a ge P O P U L A T I O N [ S e z - - -F e m a l e ] ,

    w h e r e N ~ m c , A o c P O P U L A T I O N d e n o t e s t h e p r o j e c -t i o n o f P O P U L A T I O N o n t h e a t t r i b u t e s N a m e a n dA g e .2 . Fo r each N a m e : , j ~ 1 . .. . L , in F . P O P U L A T I O N ,f i n d th e ag e o f N a m e i :

    A i A Age F . P O P U L A T I O N [ N a m e ~ N a m e i ] .3 . F o r e a c h N a m e i , f i n d t h e d e g r e e t o w h i c h N a m e i isy o u n g :a i A ~ Y O U N G [ A g e = A i ] ,

    w h e r e a i m a y b e i n t e r p r e t e d a s t h e g r a d e o f

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    m e m b e r s h i p o f N a m e i i n t h e fu zzy se t , Y W , o fy o u n g w o m e n .4 . Fo r each N a m e i , i = l , . . . , K , in M . P O P U L A T I O N ,f i n d t h e ag e o f N a m e i :

    B i A A ge M . P O P U L A T l O N [ N a m e - - - N a m e i ] .5 . Fo r each N a m e i , f i n d t h e d eg ree t o w h i ch N a m e il ikes N a m e i :~ ii ~ - ~ L I K E [ N a m e l = N a m e l ; N a m e 2 = N a m e i ] ,w i t h t h e u n d e r s t a n d i n g t h a t ~ i / m a y b e i n t e r p r e t e da s t h e g r a d e o f m e m b e r s h i p o f N a m e i i n t h e fu zzyset , W L i , o f w o m e n w h o m N a m e , l ikes .6 . Fo r each N a m e / f i n d t h e d eg ree t o w h i ch N a m e ,l ikes N a m e an d N a m e i i s y o u n g :

    "Tii A a i A # i i N o t e : A s i n p rev i o u s ex amp l e s , w e emp l o y t h e ag g re -g a t i o n o p e r a t o r r a i n ( A ) t o r e p r e s e n t t h e m e a n i n go f co n j u n c t i o n . In e f fec t , 7 0 i s t h e g rad e o fm e m b e r s h i p o f N a m e i i n t h e i n t e r sec t i o n o f t h efu zzy se t s W L I a n d Y W .

    7 . C o m p u t e t h e r e l a t i v e s i g m a - c o u n t o f w o m e n w h o mN a m e i l ik e s a m o n g y o u n g w o m e n :P i A ~ C o u n t t W L i / Y W ) (3.4)E C o u n t ( W L i N Y W )

    ~ C o u n t( Y W )_ ~ i 7 6

    a i

    F. a i8 . Co m p u t e t h e t e s t s co re fo r t h e co n s t ra i n t in d u cedb y M O S T :

    r = ~ M O S T [ P r o p o r t i o n ---- i] (3.5)Th i s t e s t - sco re w ay b e i n t e rp re t ed a s t h e d eg ree t ow h i ch N a m e i sat i sfies PI, i .e . ,

    r i = p P I [ N a m e = N a m e i ]Th e t e s t p ro ced u re d e sc r i b ed ab o v e rep re sen t s t h emea n i n g o f P , . In e f fec t, i t t e s t s t h e co n s t ra i n tex p re ssed b y t h e p ro p o s i t i o n

    E C o u n t ( Y W / W L i ) i s M O S Tan d i mp l i e s t h a t t h e n -se t an d t h e b -se t fo r t h eq u an t i f i e r m o s t i n PI a re g i v en b y :

    n - s e t = W L i = N . , . , 2 L I K E [ N a m e 1 -- ~ Na m e i ]f l F . P O P U L A T I O Nan d

    b - s et = Y W = Y O U N G f l F . P O P U L A T I O N .By co n t ra s t , i n t h e ca se o f P2 , t h e i d en t i t i e s o f t h en -se t an d t h e b -se t a re i n t e rch an g ed , i . e . ,

    n - s e t = Y Wan d

    b - s e t = W L i ,w h i ch i mp l i e s t h a t t h e co n s t ra i n t w h i ch d e f i n e s P2 isex p re ssed b y

    E C o u n t ( Y W [ W L i ) is M O S T .

    9 .

    10 .

    11 .

    T h u s , w h e r e a s t h e s c o p e o f t h e q u a n t i fi e r m o s t i n PIis { W L i , Y W } , t h e s c o p e o f m o s t l y in P2 i s{ YW, WL~}.H a v i n g r e p r e s e n te d t h e m e a n i n g o f P 1 a n d P ~ , i tb e c o m e s a s i m p l e m a t t e r t o r e p r e s e n t t h e m e a n i n go f r d , an d rd ~. Tak i n g rd D fo r ex amp l e , w e h av e t oad d t h e fo l l o w i n g s t ep s t o t h e t e s t p ro ced u re w h i chd e f i n e s PrF o r e a c h N a m e i , f i n d t h e d eg ree t o w h i ch N a m e i isy o u n g :

    6 i A u Y O U N G [ A g e = B i] ,w h ere / f m ay b e i n t e rp re t ed a s t h e g rad e o fm e m b e r s h i p o f N a m e i i n t h e fu zzy se t , Y M , o fy o u n g m e n .C o m p u t e t h e r e l a t i v e s i g m a - c o u n t o f m e n w h o h a v ep r o p e r t y P * a m o n g y o u n g m e n :

    6 &-- ~ C o u n t ( P l / Y M )~ C o u n t ( P i f l Y M )

    C o u n t ( Y M )~i r i A $ i

    ~ i~ iT e s t t h e c o n s t r a i n t i n d u c e d b y M O S T :r = ~ M O S T [ P r o p o r t i o n = - - p ] .Th e t e s t s co re ex p re ssed b y (3 .6 ) rep re sen t s t h eo v e ra l l t e s t s co re fo r t h e d i sp o s i t i o n

    d A y o u n g m e n li k e y o u n g w o m e ni f d i s i n t e rp re t ed a s r d 1 . I f d i s i n t e rp re t ed a s rd2 ,w h i ch i s a mo re l i k e l y i n t e rp re t a t i o n , t h e n t h e p ro -c e d u r e i s u n c h a n g e d e x c e p t t h a t r i in (3 .5) should herep l aced b y

    r = ~ M O S T [ P r o p o r t i o n -~ - 6i]where

    6, A ~ C o u n t ( Y W / W L , )

    4 . R e p r e s e n t a t i o n o f D h s p o s| t l o na l C o m m a n d s a n dC o n c e p t sTh e ap p ro a ch d esc r i b ed i n t h e p reced i n g sec t io n s can b ea p p l ie d n o t o n l y t o t h e r e p r e s e n t a t io n o f t h e m e a n i n g o f di s p o -s i t i o n s an d d i sp o s i t i o n a l p red i ca t e s , b u t , mo re g en e ra l l y , t ov a r i o u s t y p es o f seman t i c en t i t i e s a s w e l l a s d i sp o s i t i o n a l co n -cep t s .A s an i l l u s t ra t i o n o f i t s ap p l i ca t i o n t o t h e rep re sen t a t i o no f t h e m e a n i n g o f d i s p o s i ti o n a l c o m m a n d s , c o n s i d er

    d c A s t a y a w a y f r o m b a l d m e n , (4.1)w h o se ex p l i c i t r ep re sen t a t i o n w i l l b e a s su med t o b e t h e co m-m an d

    c A s t a y a w a y f r o m m o s t b a l d m e n . (4.2)Th e mea n i n g o f c i s d e f i n ed b y i t s co mp l i an ce c r i t e r i o n (g ad eh ,1 9 8 2 ) o r , eq u i v a l en t l y , i t s p ro p o s i t i o n a l co n t en t (Sea r l e , 1 9 7 9 ) ,w h i ch may b e ex p re ssed a se e A s t a y i n g a w a y f r o m m o s t b a l d m e n .

    T o r e p r e s e n t t h e m e a n i n g o f c e t h r o u g h t h e u s e o f t e s t -s c o r e s e m a n ti c s , w e s h a l l e m p l o y t h e e x p l a n a t o r y d a t a b a s e

    3 1 5

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    5/7

    E D F A R E C O R D [ N a m e ; p B a l d; A c ti o n ]+ M O S T [ P r o p o s i t i o n ; # ] .

    T h e r e l a t i o n R E C O R D m a y b e i n t e r p r e t e d a s a d i a r y - -k e p t d u r i n g t h e p e r i o d o f i n t e r e s t -- i n w h i c h N a m e i s t h en a m e o f a m a n ; p B a l d i s t h e d e g r e e t o w h i c h h e i s b a l d ; a n dA c t i on d e s c r i b e s w h e t h e r t h e m a n i n q u e s t io n w a s s t a y e d a w a yf r om ( A c t i o n ~ l ) o r n o t ( A c t i o n = 0 ) .

    T h e t e s t p r o c e d u r e w h i c h d e f i n e s t h e m e a n i n g o f dc m a yb e d e s c r i b e d a s f o l lo w s :

    1 . F o r e a c h N am e i , i ~ I . .. .. n , f i n d (a ) t h e d e g r e e t ow h i c h N a m e l i s b a l d ; a n d ( b ) t h e a c t i o n t a k e n :# B a l di A , B ~ I d R E C O R D [ N a m e - - . Namei]

    A c t i on i A a~ t i onR E C O R O [N am e - -. N ame i ] .2 . C o m p u t e t h e r e l a t iv e s i g m a - c o u n t o f c o m p l i a n c e :

    1 [~ i pB al d l A A c t i n i } " ( 4 .3 )= - - #3 . T e s t t h e c o n s t r a i n t i n d u c e d b y M O S T :

    r = ~ M O S T [ P r o p o M t i o n = p] (4 .4 )T h e c o m p u t e d t e s t s c o r e e x p r e s s e d b y ( 4 .4 )r e p r e s e n t s t h e d e g r e e o f c o m p l i a n c e w i t h c , w h i l e t h ep r o c e d u r e w h i c h l e a d s t o r r e p r e s e n t s t h e m e a n i n g o fde .

    T h e c o n c e p t o f d i s p o s it i o n a l it y a p p l i e s n o t o n l y t o s e m a n -t ic e n t i t i e s s u c h a s p r o p o s i t i o n s , p r e d i c a t e s , c o m m a n d s , e t c . ,b u t , m o r e g e n e r a l l y , t o c o n c e p t s a n d t h e i r d e f i n i t io n s . A s a ni l l u s t r a t i o n , w e s h a l l c o n s i d e r t h e c o n c e p t o f t y p i c a l i t y - - ac o n c e p t w h i c h p l a y s a b a s ic r o l e i n h u m a n r e a s o n i n g , e s p e c i a l l yi n d e f a u l t r e a s o n i n g ' ( R e i t e r , 1 9 83 ) , c o n c e p t f o r m a t i o n ( S m i t ha n d M e d i a , 1 9 8 1) , a n d p a t t e r n r e c o g n i t i o n ( Z a d e h , 1 97 7} .

    L e t U b e a u n i v e r s e o f d i s c o u r s e a n d l e t A b e a fu z z y s e ti n A ( e .g . , U A c ar s a n d A ~ s t a t ion w agons ) . T h ed e f i n i t i o n o f a typical e l e m e n t o f A m a y b e e x p r e s s e d in v e r b a lt e r m s a s f o l l o w s :

    t is a t ypical e l e m e n t o f A i f a n d o n l y i f ( 4 . 5 )( a ) t h a s a h i g h g r a d e o f m e m b e r s h i p i n A , a n d( b ) m o s t d e m e n t s o f ,4 a r e s i m i la r t o t .

    i t s h o u ld b e r e m a r k e d t h a t t h i s d e f i n it i o n s h o u l d b e v i e w e d a sa disposition al definition, t h a t i s , a s a d e f i n i t i o n w h i c h m a yf a i l, i n s o m e c a s e s , t o r e f l e c t o u r i n t u i t i v e p e r c e p t i o n o f t h em e a n i n g o f t y p i c a l it y .

    T o p u t t h e v e r b a l d e f i n i t i o n e x p r e s s e d b y ( 4 .5 ) in t o am o r e p r e c i s e f o rm , w e c a n e m p l o y t e s t - s c o r e s e m a n t i c s t or e p r e s e n t t h e m e a n i n g o f ( a ) a n d ( h ). S p e c i f ic a l l y , l e t S b e as i m i l a r i t y r e l a t i o n d e f i n e d o n U w h i c h a s s o c i a t e s w i~ h e a c h e l e -m e n t u i n U t h e d e g r e e t o w h i c h u i s s i m i l a r t o t ~ . F u r t h e r -m o r e , l e t S ( t ) b e t h e Mmilari ty c las~ o f t , i . e . , t h e f u z z y s e t o fe l e m e n t s o f U w h i c h a r e s im i l a r t o t . ~ V h a t t h i s m e a n s i s t h a tt h e g r a d e o f m e m b e r s h i p o f u i n S ( t ) i s eq u a l t o # s ( t , u ) , t h ed e g r e e t o w h i c h u i s s i m i l a r t o t ( Z a d e h , 1 9 7 1) .

    L e t H I G H d e n o t e t h e f u z z y s u b s e t o f t h e u n i t i n t e rv a lw h i c h i s t h e e x t e n s i o n o f t h e f u z z y p r e d i c a t e h i g h . T h e n , t h ev e r b a l d e f i n i t i o n ( 4 . 5 ) m a y b e e x p r e s s e d m o r e p r e c i s e l y i n t h ef o r m :

    t is a t ypical e l e m e n t o f A i f a n d o n l y i f ( 4 . 6 )3. For consistency with the defini tion of A, S must be such that i f uand u I have a high degree of similari ty, then their grades of member-ship in A should be close in magnitude.

    ( a ) P a ( t ) i s H I G H( b ) E C o u n t ( S ( t ) / A ) is M O S T .

    T h e f u z z y p r e d i c a t e high m a y b e c h a r a c t e r i z e d b y i t sm e m b e r s h i p f u n c t io n PHtCH o r , e q u i v a l e n t l y , a s t h e f u z z y r e i n -t o n I I IGf I [Grade ; P L i n w h i c h Grade i s a n u m b e r i n t h e i n t e r -val [0 ,1 ] and p . i s t h e d e g r e e t o w h i c h t h e v a l u e o f Grade f i t st h e i n t e n d e d m e a n i n g o f high.

    A n i m p o r t a n t i m p l i c a t io n o f t h i s d e f in i t io n i s t h a t t y p i -c a l i t y i s a m a t t e r o f d e g r e e . T h u s , i t f o l lo w s a t o n c e f r o m ( 4 . 6 )t h a t t h e d e g r e e , r , to w h i c h t i s t y p i c a l o r , e q u i v a l e n t l y , t h eg r a d e o f m e m b e r s h i p o f t i n th e f u z z y s e t o f t y p i c a l e l e m e n t so f A , i s g i v e n b y

    r = t H I G H [ G r a d e = t ] A ( 4 .7 )a M O S T [ P r o p o r t i o n = ~ , C o u n t ( S ( t ) /A ] .

    I n te r m s o f t h e m e m b e ~ h i p f u n c t io n s o f H I G H , M O S T , Sa n d A , ( 4. 7} m a y b e w r i t t e n a s[ ~ , P s t t , u ) A P A ( u ) Ir A V.-LF. J ' (4 .8 )w h e r e tHIGH, PMOSr, PS a n d PA a r e t h e m e m b e r s h i p f u n c t i o n so f H I G H , M O S T , S a n d A , r e s p e c t iv e l y , a n d t h e s u m m a t i o nZ u e x t e n d s o v e r t h e e l e m e n t s o f U .

    I t i s o f i n t e r e s t t o o b s e r v e t h a t i f p a ( t ) ----- 1 a n d. s ( t ,n ) = ~ a ( u ) , ( 4. 9 )

    t h a t i s, t h e g r a d e o f m e m b e r s h i p o f u i n A i s e q u a l t o t h ed e g r e e o f s im i l a r i ty o f u t o t , t h e n t h e d e g r e e o f ty p i c a l i t y o f ti s u n i t y . T h i s i s r e m i n i s c e n t o f d e f i n i t i o n s o f p r o t o t y p i c a l i t y( R o s c h , 1 9 7 8) i n w h i c h t h e g r a d e o f m e m b e r s h i p o f a n o b j e c ti n a c a t e g o r y i s a s s u m e d t o b e i n v e r s e l y r e l a t e d t o i t s " d i s -t a n c e " f r o m t h e p r o t o t y p e .I n a d e f i n it i o n o f p r o t o t y p i c a l i t y w h i c h w e g a v e i n g a d e h( 1 9 8 2) , a p r o t o t y p e i s i n t e r p r e t e d a s a s o - c a l l e d a - s u m m a r y .I n r e l a t i o n t o t h e d e f i n i t i o n o f t y p i c a l i t y e x p r e s s e d b y ( 4 . 5) , w em a y s a y t h a t a p r o t o t y p e i s a a - s u m m a r y o f ty p i c a l e l e m e n t so f A . I n t h is s e n se , a p r o t o t y p e i s not , i n g e n e r a l , a n e l e m e n to f U w h e r e a s a t y p i c a l e l e m e n t o f A i s , b y d e f i n i t i o n , a n c l e -m e n t o f U . A s a s i m p l e i l l u s t r a t i o n o f t h i s d if f e r e n c e , a s s u m et h a t U i s a c o l l e c t i o n o f m o v i e s , a n d A i s t h e f u z z y s e t o fW e s t e r n m o v i e s . A p r o t o t y p e o f A i s a s u m m a r y o f t h e s u m -

    m a r i e s { i .e . , p l o t s ) o f W e s t e r n m o v i e s , a n d t h u s i s n o t a m o v i e .A t y p i c a l W e s t e r n m o v i e , o n t h e o t h e r h a n d , i s a m o v i e a n dt h u s i s a n e l e m e n t o f U .5 . F u z z y S y l l o g is m s

    A c o n c e p t w h i c h p l a y s a n e s s e n t i a l r o l e i n r e a s o n i n g w i t hd i s p o s i t i o n s i s t h a t o f a fuzzy sy l logism ( Z a d e h , 1 9 8 3 c ) . A s ag e n e r a l i n f e r e n c e s c h e m a , a f u z z y s y l lo g i sm m a y b e e x p r e s s e di n t h e f o r mQIA'a are B in (5 . 1 )Q 2 C I 8 a re D I sf Q s E ' a a re F ~ a

    w h e r e Q l a n d Q 2 a r e g i v e n f u z z y q u a n t i f i e r s , Q 3 i s f u z z yq u a n t i f i e r w h i c h i s t o b e d e t e r m i n e d , a n d A , /3 , C , D , E a n d Fa r e i n t e r r e l a t e d f u z z y p r e d i c a t e s .

    I n w h a t f o l l o w s , w e s h a l l p r e s e n t a b r i e f d i s c u s s i o n o f t w ob a s i c t y p e s o f f u z z y s y l l o g is m s . A m o r e d e t a i l e d d e s c r i p t i o n o ft h e s e a n d o t h e r f u z z y s y l lo g i s m s m a y b e f o u n d i n Z a d e h( 1 9 8 3 c , 1 9 8 4 ) .T h e intersec t ion~product sy l logism m a y b e v ie w e d a s a ni n s t a n c e o f ( 5 .1 ) i n w h i c h

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    6 ' ~ A and BEA AF A B andD ,

    an d Q a = Q 1 ~ Q 2 , i .e - , Q a i s t h e p ro d u c t o f Q I an d Q 2 i nf u z z y a ri t h m e t i c . T h u s , w e h a v e a s th e s t a t e m e n t o f t h e s y ll o -g i sm:Q 1 A ' s a r e B ' s ( 5 . 2 )QT(A and B) ' s arc CI s(Q1 (~ Q2) A Is are ( B a n d C) ls

    In part ic u lar , i f B i s conta ine d in A , i .e ., PB --< PA, whe re PAa n d P 8 a r e t h e m e m b e r s h i p f u n c t i o n s o f A and B, re sp ec -t i v e l y , t h en A and B = B , and (5 .2) becomesQ1 A' s are Be s (5.3)Q~ B' s arc C I s( Q I ~ Q2) A's are (B andC )'s .

    Si n ce B and C i mp l i e s C , i t fo l l o w s a t o n ce f ro m (5 .3 )t h a tQ1 A I s arc BI s (5.4)Q2 BI s are C ' s>( QI ~ Q2) A' s arc C' s,

    which i s the chaining syllogism ex p re ssed b y (1 .4 ). Fu r t h e r -mo re , i f t h e q u an t i f i e r s Q ] an d Q 2 a re mo n o t o n i c , i . e . ,>- QI -- Q1 and _> Q2 = Q2, then (5 .4) becom es the productsyllogismQI A e s are B ' s (5.5)Q~ BI s are CI s(QI ~ Q2) A' s ore C 'st h e ca se o f t h e consequent conju nction syllogism, w enh a v eC ~ _ AE ~ _ AF = B and D .

    In t h i s e a se , t h e s t a t emen t o f sy l l o g i sm i s :Q I A ' s a r e B ' s ( 5 . 0 )Q:A fs are CIsQa A e s are ( B and C) Is

    w h ere Q i s a fu zzy n u mb e r (o r i n t e rv a l ) d e f in ed b y t h e i n e -q u a l i t i e s0 ~ ( Q 1 Q 2 0 1 ) _ ~ Q _~ Q I ~ ) Q 2 , ( 5.7 )

    w h e re (~ , ~ ~ an d @ a re t h e o p e r a t i o n s o f ad d i t i o n , su b t rac -t i o n , ra i n an d max i n fu zzy a r i t h me t i c .A s a s i mp l e i l l u s t ra t i o n , co n s i d e r t h e d i sp o s i t i o n s

    dl A students are youngd 2 ~-- students are sin gl e.

    U p o n re s t o ra t i o n , t h e se d i sp o s i t i o n s b eco me t h e p ro p o s i t i o n sPl A most students are youngP2 A most students are single

    Th en , ap p l y i n g t h e co n seq u en t co n j u n c t i o n sy l l o g i sm t o P l an dP2, we can i n fe r t h a t

    Q students are single an d youngw h e r e

    2 m o s t 0 1 _ ( o a t ( n o t q ) ) A ' o o r e n o t Bt ,w h i ch red u ces t o

    n o t ( q A ' s a re B ' * ) = ( 0 .8 )( a n t ( n o t q ) ) A ' , are not B' *

    i f Q i s mo n o t o n i c (e .g ., Q A most).A s an i l l u s t ra t i o n , i f d A birds can fl y a n d Q A most,t h en (0 .8 ) y i e l d s

    n o t ( b i r d s c a n f l y ) ( a n t ( n o t m o s t ) ) b ir ds c a n n o t f l y . ( o. g)I t s h o u l d b e o b s e r v e d t h a t i f Q i s a n a p p r o x i m a t i o n t oall, t h e n ant(not Q) i s a n a p p r o x i m a t i o n t o some. F o r t h er i g h t -h an d me mb er o f (0 .9 ) t o b e a d i sp o s i t i o n , most m u s t b e

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    a n a p p r o x i m a t i o n t o at least a half. In this case ant [not most]wil l be an approx im at ion to most, and consequen t ly the r igh t -hand m em ber o f (0 .9 ) m ay be expressed - - upon the suppres -sion of most -- as the d ispos i t ion birds cannot fly.R E F E R E N C E S A N D R E L A T E D P U B L I C A T IO N S

    Barwise, J . and Coop er, R. , Generalize d quantifiers andna tu ra l language , Linguistics and Philosophy 4 (1981)159-219.Bellman, R.E. and Zadeh, L.A. , Local and fuzzy logics, in:Modern Uses of Multiple-Valued Logic, Epstein, G. , (ed.) ,Dordrecht: Reidel, 103-165, 1977.Brachm an , R . J . and Sm ith , B .C . , Special Issue on KnowledgeRepresentation, SIGA RT 70 , 1980 .Cresswell, M.J., Logic and Languages. London: Methuen ,1973.Cushing, S. , Quantifier Meanings -- A Study in the Dimensionso/ Semantic Compentence. A m s t e r d a m : N o r t h - H o l l a n d ,1982.Dubois, D. and Prade, H. , Fuzzy Sets and Systems: Theory andApplications. New York : Academ ic Press , 1980.Goguen, J .A. , The logic of inexact concepts, Synthese 19 (1969)325-373.Keenan , E .L . , Quan t i f ie r s t ruc tu res in Engl ish , Foundations ofLanguage 7 (1971) 2 55-336.Mam dani , E .H . , and Gaines , B .R . , Fuzzy Reasoning and itsApplications. London: Academ ic Press , 1981.McC ar thy , J . , C i rcum scr ip t ion : A non-m onoton ic in fe renceru le , Artificial Intelligence 13 (1980) 27-40.McCawley, J .D. , Everything that Linguists have Always Wantedto Know about Logic. Chicago : Univers i ty o f ChicagoPress, 1981.McDermott, D.V. and Doyle, J . , Non-monotonic logic, I .Artificial Intelligence 13 (1980) 41-72.McDerm ot t , D .V. , Non-m onoton ic log ic , lh non-m onoton icm odal theor ies , J . Assoc. Camp. Mach. 29 (1982) 33-57.Mil le r , G .A . and Johnson-La i rd , P .N . , Language and Percep-tion. Cam b ridge : Harvard U nivers i ty P ress , 1970.Pe te rson , P . , On the log ic o f few, many a n d moot, Notre DameJ. Formal Logic gO(1979) 155-179.Reiter, R. and Criscuolo, G. , Some representational issues in

    defau l t reason ing , Computers and Mathematics 9 (1983)15-28.Rescher, N., Plausible Reasoning. A m s t e r d a m : V a n G o r c u m ,1976.Roseh , E . , P r inc ip les o f ca tegor iza t ion , in : Cognition andCategorization, Rosch, E. and Lloyd, B.B., (eds.). Hills-da le , N J : E r lbaum , 1978.Searle, J . , Ezpression and Meaning. C a m b r i d g e : C a m b r i d g eUniversity Press, 1979.Smith, E. and Medin, D.L. , Categories and Concepts. C a m -br idge : Harvard Univers i ty P ress , 1981.Suppes , P . , A Probabilistic Theory of Causality. A m s t e r d a m :Nor th -Hol land , 1970.Yager, R.R . , Qu antified propo sitions in a l inguistic logic, in:Proceedings of the end International Seminar on FuzzySet Theory, Klem ent , E .P . , (ed . ) . Johannes Keple rUnivers i ty , L inz , Aus t r ia , 1980.Zadeh , L .A . , S im i la r i ty re la t ions and fuzzy o rder ings , Informa-tion Sciences 3 (1971) 177-200.

    Zadeh , L .A . , Fuzzy se ts and th e i r app l ica t ion to pa t te rnc lass i fica t ion and c lus te r ing ana lys is , in : Classification andClustering, Ryzin , J . , (ed . ), New York : Academ ic Press ,251-299, 1977.Zadeh , L .A . , PRUF - - A m ean ing represen ta t ion language fo rna tu ra l languages , Inter. J. Man-Machine Studies I 0(1978) 395-400.Zadeh , L .A . , A no te on p ro to type theory and fuzzy se ts , Cog-nition 12 (1982) 291-297.Zadeh , L .A . , Tes t -score sem ant ics fo r na tu ra l languages andm e a n i n g - r e p r e s e n ta t i o n v i a P R U F , P r o c . C O L I N G 8 2,Prague , 425-430 , 1982 . Fu l l tex t in : Empirical Semantics,Rieger , B.B. , (ed.) . Bochum: Bro ckm eyer, 281-349, 1982.Zadeh , L .A . , A com puta t iona l approach to fuzzy quan t i f ie rs inn a t u r a l l a n g ua g e s , Computers and Mathematics Y (1983a)149-184.Zadeh , L .A . , L ingu is t ic var iab les , approx im ate reason ing andd ispos i t ions , Medical lnformatics 8(1983b) 173-186.Zadeh , L .A . , Fuzzy log ic as a bas is fo r the m anagem ent o fu n c e r t a i n t y i n e x p e r t s y s t e m s , Fuzzy Sets and Systems 11(1983c) 199-227.Zadeh , L .A . , A theory o f com m onsense knowledge , in : Aspectsof Vagueness, Skala, H.J. , Termini, S. and Trillas, E. ,(eds.) . Dord recht: Reidel, 1984.

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