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

Afifi, Ashraf

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• Presentation Conference Type: Conference Paper (unpublished)
• 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
• Deposit Date: Feb 2, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: fuzzy systems, rule induction, inductive learning, numerical output prediction, control systems
• Public URL: https://uwe-repository.worktribe.com/output/814978
• 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
• Contract Date: Feb 2, 2017