Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/71357
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Type: Conference paper
Title: Considerations of the nature of the relationship between generalization and interpretability in evolutionary fuzzy systems
Author: Ghandar, A.
Michalewicz, Z.
Citation: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), held in Dublin, Ireland, 12-16 July, 2011: pp.97-98
Publisher: ACM
Publisher Place: Ireland
Issue Date: 2011
ISBN: 9781450306904
Conference Name: Genetic and Evolutionary Computation Conference (13th : 2011 : Dublin, Ireland)
Statement of
Responsibility: 
Adam Ghandar and Zbigniew Michalewicz
Abstract: Performance out of sample is a clear determinant of the usefulness of any prediction model regardless of the application. Fuzzy knowledge base systems are also useful due to interpretability; this factor is often cited as an advantage over “black box” systems which make model verification by expert users more difficult. Here we examine additional advantages of interpretability for promoting general performance out side training data.
Keywords: Evolutionary computation; fuzzy systems
Rights: Copyright is held by the author/owner(s).
RMID: 0020115411
DOI: 10.1145/2001858.2001914
Published version: http://www.informatik.uni-trier.de/~ley/db/conf/gecco/gecco2011c.html
Appears in Collections:Computer Science publications

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