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...

• Type: Journal
• Year: 2009
• Where: EUSFLAT
• Authors: Hisao Ishibuchi, Yusuke Nojima
• Keywords: EUSFLAT 2009, Fuzzy Logic, Fuzzy Rule-based Systems, Interpretability, Rule-based Systems