Ulrich Bodenhofer, Martine De Cock, Etienne Emile Kerre,
"Modelling Linguistic Expressions Using Fuzzy Relations"
: Proc. 6th Int. Conf on Soft Computing (IIZUKA2000), Seite(n) 353-360, 10-2000, ISBN: 4-938717-04-2
Original Titel:
Modelling Linguistic Expressions Using Fuzzy Relations
Sprache des Titels:
Englisch
Original Buchtitel:
Proc. 6th Int. Conf on Soft Computing (IIZUKA2000)
Original Kurzfassung:
The concept of an image of a fuzzy set under a fuzzy
relation has proved to be a very powerful tool in fuzzy
set theoretical applications. In this paper, we explain
how it can be used to model linguistic expressions. For
the representation of expressions, such as "at least middle-aged", "brighter than average", we
will use fuzzy ordering relations, while resemblance
relations will be suitable to model linguistic terms,
such as "more or less expensive" and "very
tall". We will show how these representations can be
smoothly integrated in approximate reasoning schemes
using the compositional rule of inference.