Dr Ashraf Afifi Ashraf.Afifi@uwe.ac.uk
Senior Lecturer in Engineering Management
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.
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
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | World Congress on Engineering (WCE-2014), London, UK |
Start Date | Jul 2, 2014 |
End Date | Jul 4, 2014 |
Acceptance Date | Apr 1, 2014 |
Publication Date | Jul 1, 2014 |
Peer Reviewed | Peer Reviewed |
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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