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. To be published in Soft Computing, 10 (10). pp. 867-879. ISSN 14337479

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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.
Faculty/Department:Faculty of Environment and Technology
~Pre-2012 Faculty Structure > Faculty of Environment and Technology
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology
ID Code:5890
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:22 Nov 2012 15:35

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