Cascade Architectures of Fuzzy Neural Networks
Fuzzy Optimization and Decision Making
Interpretability assessment of fuzzy knowledge bases: A cointension based approach
International Journal of Approximate Reasoning
Design of fuzzy rule-based classifiers with semantic cointension
Information Sciences: an International Journal
A special class of fuzzified normal forms
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Automatica (Journal of IFAC)
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A new methodology for the minimization of a given set of fuzzy rules is presented. It is based on a novel mapping of fuzzy relations on Boolean functions and exploits existing Boolean synthesis algorithms. In this mapping each fuzzy membership predicate is translated into a Boolean variable and proper constraints on Boolean manipulations are added to guarantee fuzziness translation. The formal consistency of the approach depends on a fuzzy semantic which easily generalizes most of the existing models, granting broad applicability to the suggested procedure. The applicability of an enhanced two-level Boolean minimizer is demonstrated, and the technique is applied to the fuzzy identification of nonlinear systems, consistently reducing the number of rules and easing application of further optimization interventions