Many fuzzy algorithms and models are indeed aimed at extracting knowledge from data, and the acquired knowledge must be usually communicated to users. However, as far as such knowledge is difficult to understand by users, the acceptance of such methods may be seriously compromised. Interpretability must be the central point on fuzzy system modeling. Nowadays, interpretability is recognized as one of the most valuable properties of fuzzy systems. Thus, interpretability issues constitute a fruitful and up-to-date research line in the fuzzy community.
Some Insights on Interpretable Fuzzy Systems
MENCAR, CORRADO;CASTIELLO, CIRO;
2014-01-01
Abstract
Many fuzzy algorithms and models are indeed aimed at extracting knowledge from data, and the acquired knowledge must be usually communicated to users. However, as far as such knowledge is difficult to understand by users, the acceptance of such methods may be seriously compromised. Interpretability must be the central point on fuzzy system modeling. Nowadays, interpretability is recognized as one of the most valuable properties of fuzzy systems. Thus, interpretability issues constitute a fruitful and up-to-date research line in the fuzzy community.File in questo prodotto:
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