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Hierarchical fuzzy rule based systems using an information theoretic approach

Waldock, Antony; Carse, Brian; Melhuish, Chris

Authors

Antony Waldock

Chris Melhuish Chris.Melhuish@uwe.ac.uk
Professor of Robotics & Autonomous Systems



Abstract

This paper proposes a novel anytime algorithm for the construction of a Hierarchical Fuzzy Rule Based System using an information theoretic approach to specialise rules that do not effectively model the decision space. The amount of uncertainty tolerated within the decision provides a single tuneable parameter to control the trade off between accuracy and interpretability. The algorithm is empirically compared with existing methods of function approximation and is demonstrated on a mobile robot application in simulation. © Springer-Verlag 2006.

Citation

Waldock, A., Carse, B., & Melhuish, C. (2006). Hierarchical fuzzy rule based systems using an information theoretic approach. Soft Computing, 10(10), 867-879. https://doi.org/10.1007/s00500-005-0013-y

Journal Article Type Article
Publication Date Aug 1, 2006
Journal Soft Computing
Print ISSN 1432-7643
Electronic ISSN 1433-7479
Publisher Springer (part of Springer Nature)
Peer Reviewed Not Peer Reviewed
Volume 10
Issue 10
Pages 867-879
DOI https://doi.org/10.1007/s00500-005-0013-y
Keywords information theory, hierarchical fuzzy rule based systems, mobile robot
Public URL https://uwe-repository.worktribe.com/output/1040595
Publisher URL http://dx.doi.org/10.1007/s00500-005-0013-y
Additional Information Additional Information : The accuracy/interpretability trade-off in fuzzy systems development is a well known problem. In particular, interpretability is a serious requirement if fuzzy rule-based systems are to be adopted for industrial applications. The work describes and evaluates a new approach based on information theory where the amount of uncertainty tolerated within fuzzy decision-making decision provides a single tuneable parameter to control the trade off between accuracy and interpretability.