SUM NORMAL OPTIMIZATION OF FUZZY MEMBERSHIP FUNCTIONS
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Publication:4824621
DOI10.1142/S0218488502001533zbMath1059.93074OpenAlexW2069751686MaRDI QIDQ4824621
Publication date: 1 November 2004
Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218488502001533
Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Related Items (7)
Optimization of rational-powered membership functions using extended Kalman filter ⋮ Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation ⋮ Automatic tuning of complex fuzzy systems with Xfuzzy ⋮ Fuzzy model validation using the local statistical approach ⋮ Fuzzy Real-Time Multi-objective Optimization of a Prosthesis Test Robot Control System ⋮ New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems ⋮ \(H_{\infty}\) estimation for fuzzy membership function optimization
Cites Work
- A fuzzy logic controller with learning through the evolution of its knowledge base
- Adapting the gain of an FLC with genetic algorithms
- Successive identification of a fuzzy model and its applications to prediction of a complex system
- A linguistic self-organizing process controller
- A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
- Generating rules for fuzzy logic controllers by functions
- Design and rule base reduction of a fuzzy filter for the estimation of motor currents
- Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing
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