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Type: Conference paper
Title: A case for learning simpler rule sets with multiobjective evolutionary algorithms
Author: Ghandar, A.
Michalewicz, Z.
Zurbrugg, R.
Citation: Rule-base Reasoning, Programming, and Applications: 5th International Symposium, RULEML 2011 - Europe, Barcelona, Spain, July 19-21, 2011 : proceedings /​ Nick Bassiliades, Guido Governatori, Adrian Paschke (eds.): pp.297-304
Publisher: Springer-Verlag
Publisher Place: Germany
Issue Date: 2011
Series/Report no.: Lecture Notes in Computer Science
ISBN: 3642225454
ISSN: 0302-9743
Conference Name: International Conference on Rule-based Reasoning, Programming, and Applications (5th : 2011 : Barcelona, Spain)
Statement of
Adam Ghandar, Zbigniew Michalewicz and Ralf Zurbruegg
Abstract: Fuzzy rules can be understood by people because of their specification in structured natural language. In a wide range of decision support applications in business, the interpretability of rule based systems is a distinguishing feature, and advantage over, possible alternate approaches that are perceived as "black boxes", for example in facilitating accountability. The motivation of this paper is to consider the relationships between rule simplicity (the key component of interpretability) and out-of-sample performance. Forecasting has been described as both art and science to emphasize intuition and experience aspects of the process: aspects of intelligence manifestly difficult to reproduce artificially. We explore, computationally, the widely appreciated forecasting "rule-of-thumb" expressed in Ockham's principle that "simpler explanations are more likely to be correct".
Description: Also has ISBN 3642225462 ; 9783642225468
Rights: Springer-Verlag Berlin, Heidelberg © 2011
RMID: 0020117169
DOI: 10.1007/978-3-642-22546-8_23
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Appears in Collections:Computer Science publications

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