Fuzzy classifiers: Opportunities and challenges

Authors:
Anca Ralescu;Sofia Visa
Affiliations:
Machine Learning and Computational Intelligence Laboratory, School of Computing Sciences and Informatics, University of Cincinnati, Cincinnati, OH;Department of Computer Science, The College of Wooster, Wooster, OH
Venue:
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Year:
2011

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Abstract

Several issues arise when we consider building classifiers in general, and fuzzy classifiers in particular. These issues include but are not limited to attribute/feature selection, adoption of a specific approach/algorithm, evaluate the classifier performance, etc. We consider the opportunities that such classifiers have to offer and contrast them with the challenges they pose.