A new rule space representation scheme for rule induction in classification and control applications

Bigot, Samuel ORCID: https://orcid.org/0000-0002-0789-4727 2011. A new rule space representation scheme for rule induction in classification and control applications. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 225 (7) , pp. 1018-1038. 10.1177/0959651810396292

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Abstract

Over the past few decades, several covering algorithms have been developed to automate the acquisition of knowledge from a set of examples. These algorithms employ a specific search process for extracting IF–THEN rules. They rely heavily on statistical measures to guide the search for rules; however, the information carried by these measures is limited and does not always lead to the best results. This paper presents two new algorithms which employ a new knowledge representation scheme to optimize the search and reduce the role of statistical measures, namely RULES-5 Plus for classification problems (discrete outputs) and RULES-F Plus for control applications (numerical outputs).

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering Research Institutes & Centres > Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	T Technology > T Technology (General)
Uncontrolled Keywords:	rule induction; fuzzy system; concept learning; search strategy; classification; control
Publisher:	Institution of Mechanical Engineers
ISSN:	0959-6518
Last Modified:	18 Oct 2022 14:23
URI:	https://orca.cardiff.ac.uk/id/eprint/17313

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