Combining rough sets and data-driven fuzzy learning for generation of classification rules

Pattern Recognition

Volumn 32, Issue 12, 1999, Pages 2073-2076

  Shen, Qiang ^a   Chouchoulas, Alexios ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; FUZZY SETS; KNOWLEDGE ACQUISITION; PATTERN RECOGNITION; SET THEORY; VECTORS;

FUZZY RULE INDUCTION ALGORITHM; ROUGH SET ATTRIBUTE REDUCTION;

KNOWLEDGE BASED SYSTEMS;

EID: 0033362341     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00099-0     Document Type: Article

References (4)

1. [1] A. Lozowski, T. Cholewo, J. Zurada, Crisp rule extraction from perceptron network classifiers, in: Proceedings of International Conference on Neural Networks, Plenary, Panel and Special Sessions, 1996, pp. 94-99.
2. [2] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht, 1991.
3. [3] A. Chouchoulas, Q. Shen, Rough set-aided rule induction for plant monitoring, in: Paul P. Wang (Ed.), Proceedings of the Fourth International Joint Conference on Information Sciences, vol. 2, 1998, pp. 316-319.
4. [4] M. Poch, J. Bejar, U. Cortes, Faults in an urban waste water treatment plant (dataset), The UCI Machine Learning Database Repository (http://www.ics.uci.edu/~ mlearn/MLSummary.html), 1993.