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Modelling and Reasoning with Vague Concepts (Paperback, 2006 ed.)
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Modelling and Reasoning with Vague Concepts (Paperback, 2006 ed.)
Series: Studies in Computational Intelligence, 12
Expected to ship within 10 - 15 working days
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This volume introduces a formal representation framework for
modelling and reasoning, that allows us to quantify the uncertainty
inherent in the use of vague descriptions to convey information
between intelligent agents. This can then be applied across a range
of applications areas in automated reasoning and learning. The
utility of the framework is demonstrated by applying it to problems
in data analysis where the aim is to infer effective and
informative models expressed as logical rules and relations
involving vague concept descriptions. The author also introduces a
number of learning algorithms within the framework that can be used
for both classification and prediction (regression) problems. It is
shown how models of this kind can be fused with qualitative
background knowledge such as that provided by domain experts. The
proposed algorithms will be compared with existing learning methods
on a range of benchmark databases such as those from the UCI
repository.
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