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FuzzySRI-II A fuzzy rule induction algorithm for numerical output prediction

Afifi, Ashraf

Authors

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Dr Ashraf Afifi Ashraf.Afifi@uwe.ac.uk
Senior Lecturer in Engineering Management



Abstract

Current inductive learning algorithms have difficulties handling attributes with numerical output values. This paper presents FuzzySRI-II, a new fuzzy rule induction algorithm for the prediction of numerical outputs. FuzzySRI-II integrates the comprehensibility and ease of application of rule induction algorithms with the uncertainty handling and approximate reasoning capabilities of fuzzy sets. The performance of the proposed FuzzySRI-II algorithm in two simulated control applications involving numerical output values is demonstrated and compared to that of the recently developed RULES-F Plus fuzzy rule induction algorithm. Results show that the rules derived from FuzzySRI-II are simpler and yield higher accuracy than those from RULES-F Plus.

Presentation Conference Type Conference Paper (unpublished)
Start Date Jul 2, 2014
Publication Date Jul 1, 2014
Peer Reviewed Peer Reviewed
APA6 Citation Afifi, A. (2014, July). FuzzySRI-II A fuzzy rule induction algorithm for numerical output prediction. Paper presented at World Congress on Engineering (WCE-2014), London, UK
Keywords fuzzy systems, rule induction, inductive learning, numerical output prediction, control systems
Publisher URL http://www.iaeng.org/publication/WCE2014/WCE2014_pp197-202.pdf
Additional Information Title of Conference or Conference Proceedings : Proceedings of the World Congress on Engineering (WCE-2014), London, UK
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