Waldock, A., Carse, B. and Melhuish, C.
Hierarchical fuzzy rule based systems using an information theoretic approach.
Soft Computing, 10 (10).
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Publisher's URL: http://dx.doi.org/10.1007/s00500-005-0013-y
|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|
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|Deposited On:||22 Jan 2010 15:10|
|Last Modified:||05 Dec 2013 12:57|
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