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https://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) |
Editor: | Krasnogor, N. Lanzi, P.L. |
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). |
DOI: | 10.1145/2001858.2001914 |
Published version: | http://dx.doi.org/10.1145/2001858.2001914 |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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