Multi-Objective Genetic Algorithms for Fuzzy Classification Rule Mining: A Survey
The IUP Journal of Information Technology, Vol. VII, No. 1, pp. 7-34, March 2011
Posted: 8 Sep 2011
Date Written: July 25, 2011
Abstract
This paper examines the various multi-criteria approaches of fuzzy classification rule mining. An updated state-of-the-art multi-objective genetic algorithm is given. Further, various genetic algorithm-based fuzzy classification rule mining techniques are studied. In view of the intractability and involvement of multiple and very often conflicting criteria of fuzzy classification rule mining problem, this paper offers a general framework.
Keywords: fuzzy classification, multi-objective optimization, pareto optimal solutions, genetic algorithms
Suggested Citation: Suggested Citation
Kalia, Harihar and Dehuri, S. and Ghosh, Ashish, Multi-Objective Genetic Algorithms for Fuzzy Classification Rule Mining: A Survey (July 25, 2011). The IUP Journal of Information Technology, Vol. VII, No. 1, pp. 7-34, March 2011, Available at SSRN: https://ssrn.com/abstract=1894612
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