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EUSFLAT
2009

Discussions on Interpretability of Fuzzy Systems using Simple Examples

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Discussions on Interpretability of Fuzzy Systems using Simple Examples
Two conflicting goals are often involved in the design of fuzzy rule-based systems: Accuracy maximization and interpretability maximization. A number of approaches have been proposed for finding a fuzzy rule-based system with a good accuracy-interpretability tradeoff. Formulation of the accuracy maximization is usually straightforward in each application area of fuzzy rule-based systems such as classification, regression and forecasting. Formulation of the interpretability maximization, however, is not so easy. This is because various aspects of fuzzy rule-based systems are related to their interpretability. Moreover, user's preference should be taken into account when a single fuzzy rule-based system is to be chosen from several alternatives with different accuracy-interpretability tradeoffs. In this paper, we discuss the difficulty in measuring the interpretability of fuzzy rule-based systems using very simple examples. We do not intend to propose any new interpretability measur...
Hisao Ishibuchi, Yusuke Nojima
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where EUSFLAT
Authors Hisao Ishibuchi, Yusuke Nojima
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