Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Learning fuzzy rules from iterative execution of games
Fuzzy Sets and Systems - Theme: Modeling and learning
A user-centred corporate acquisition system: a dynamic fuzzy membership functions approach
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Interface optimality in fuzzy inference systems
International Journal of Approximate Reasoning
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International Journal of Approximate Reasoning
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Information Sciences: an International Journal
A double axis classification of interpretability measures for linguistic fuzzy rule-based systems
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Bi-monotonic fuzzy sets lead to optimal fuzzy interfaces
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
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Fuzzy models are regarded as linguistic modeling structures with well-defined functional blocks of input and output interfaces along with a processing module. The paper examines the functions of these modules and specifies the relevant optimization tasks emerging in fuzzy system identification. Considering several distinct levels of conceptual memorization realized within the fuzzy models (subsequently resulting in establishing short-, medium-, and long-term memories), the corresponding learning policies are developed. The study includes also detailed simulation studies