Hierarchical fuzzy rule based systems using an information theoretic approach

Waldock, A., Carse, B. and Melhuish, C. (2006) Hierarchical fuzzy rule based systems using an information theoretic approach. Soft Computing, 10 (10). pp. 867-879. ISSN 1433-7479

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Publisher's URL: http://dx.doi.org/10.1007/s00500-005-0013-y


Item Type:Article
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.
Uncontrolled Keywords:information theory, hierarchical fuzzy rule based systems, mobile robot
Faculty/Department:Faculty of Environment and Technology
ID Code:5890
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:22 May 2014 14:11

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