Building classification rules for case-based classifier using fuzzy sets and formal concept analysis
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
A new case-based classification using incremental concept lattice knowledge
Data & Knowledge Engineering
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In this paper, we propose a new hybrid case based reasoning system based on rough set theory, formal concept analysis and fuzzy sets. This system applies rough set theory to assure minimally sufficient cases in its case base. It uses formal concept analysis to reveal knowledge of attribute dependencies in terms of concept lattices. Numeric attributes are transformed to be suitable for formal concept analysis using fuzzy sets.