#15318The process of transforming a disposition into a proposition is referred to as explicitation or restoration.Explicitation sets the stage for representing the meaning of a proposition through the use of test-score semantics (Zadeh, 1978, 1982).
tech,0-10-P84-1064,ak
of a
<term>
fuzzy syllogism
</term>
.
<term>
Syllogistic reasoning with dispositions
</term>
has an important bearing on
<term>
#15400The paper closes with a description of an approach to reasoning with dispositions which is based on the concept of a fuzzy syllogism.Syllogistic reasoning with dispositions has an important bearing on commonsense reasoning as well as on the management of uncertainty in expert systems.
tech,21-9-P84-1064,ak
which is based on the concept of a
<term>
fuzzy syllogism
</term>
.
<term>
Syllogistic reasoning with
#15397The paper closes with a description of an approach to reasoning with dispositions which is based on the concept of afuzzy syllogism.
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concept which plays an important role in
<term>
human cognition
</term>
and is of relevance to
<term>
default
#15450As a simple application of the techniques described in this paper, we formulate a definition of typicality -- a concept which plays an important role inhuman cognition and is of relevance to default reasoning.
tech,20-10-P84-1064,ak
management of uncertainty
</term>
in
<term>
expert systems
</term>
. As a simple application of the
#15420Syllogistic reasoning with dispositions has an important bearing on commonsense reasoning as well as on the management of uncertainty inexpert systems.
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proposition
</term>
through the use of
<term>
test-score semantics
</term>
( Zadeh , 1978 , 1982 ) . In this
#15333Explicitation sets the stage for representing the meaning of a proposition through the use oftest-score semantics (Zadeh, 1978, 1982).
tech,9-10-P84-1064,ak
</term>
has an important bearing on
<term>
commonsense reasoning
</term>
as well as on the
<term>
management
#15409Syllogistic reasoning with dispositions has an important bearing oncommonsense reasoning as well as on the management of uncertainty in expert systems.
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tests , scores and aggregates the
<term>
elastic constraints
</term>
which are induced by p. The paper
#15369In this approach to semantics, the meaning of a proposition, p, is represented as a procedure which tests, scores and aggregates theelastic constraints which are induced by p.
other,13-2-P84-1064,ak
<term>
disposition
</term>
, as are the
<term>
propositions
</term>
Swedes are blond and Spaniards are
#15201For example, birds can fly is a disposition, as are thepropositions Swedes are blond and Spaniards are dark.
tech,16-10-P84-1064,ak
reasoning
</term>
as well as on the
<term>
management of uncertainty
</term>
in
<term>
expert systems
</term>
. As
#15416Syllogistic reasoning with dispositions has an important bearing on commonsense reasoning as well as on themanagement of uncertainty in expert systems.
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interpreted as the result of suppressing the
<term>
fuzzy quantifier
</term>
most in the
<term>
proposition
</term>
#15271For example, birds can fly may be interpreted as the result of suppressing thefuzzy quantifier most in the proposition most birds can fly.
other,4-8-P84-1064,ak
1978 , 1982 ) . In this approach to
<term>
semantics
</term>
, the
<term>
meaning
</term>
of a
<term>
#15347In this approach tosemantics, the meaning of a proposition, p, is represented as a procedure which tests, scores and aggregates the elastic constraints which are induced by p.
tech,34-11-P84-1064,ak
cognition
</term>
and is of relevance to
<term>
default reasoning
</term>
. This report describes
<term>
Paul
#15457As a simple application of the techniques described in this paper, we formulate a definition of typicality -- a concept which plays an important role in human cognition and is of relevance todefault reasoning.
other,21-3-P84-1064,ak
viewed as a
<term>
proposition
</term>
with
<term>
implicit fuzzy quantifiers
</term>
which are approximations to all and
#15231An idea which underlies the theory described in this paper is that a disposition may be viewed as a proposition withimplicit fuzzy quantifiers which are approximations to all and always, e.g., almost all, almost always, most, frequently, etc.
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approach to
<term>
reasoning
</term>
with
<term>
dispositions
</term>
which is based on the concept of
#15388The paper closes with a description of an approach to reasoning withdispositions which is based on the concept of a fuzzy syllogism.