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

Bigot, Samuel 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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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: Engineering
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: 04 Jun 2017 03:08

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