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FF99: a novel fuzzy first-order logic learning system
Author(s)
Date Issued
1999
Publisher
IEEE
ISSN
08843627
Citation
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1999, vol. 5, pp. V-178 - V-184
Type
Conference Proceedings
Abstract
This paper describes a novel learning system, named FF99 that learns fuzzy first-order logic concepts from various kinds of data. FF99 builds on the ideas from both fuzzy set theory and first-order logic. Object relationships are described using fuzzy relations based on which FF99 generates classification rules expressed in a restricted from fuzzy first-order logic. This new system has been applied successfully to several tasks taken from the machine learning literature. We demonstrate its usefulness in the applications of data mining through several experiments.
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