Fuzzy Sets and Systems - Fuzzy systems
Influential Rule Search Scheme (IRSS)-A New Fuzzy Pattern Classifier
IEEE Transactions on Knowledge and Data Engineering
Hierarchical TS fuzzy system and its universal approximation
Information Sciences—Informatics and Computer Science: An International Journal
Expert Systems with Applications: An International Journal
A PSO-aided neuro-fuzzy classifier employing linguistic hedge concepts
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Robust asymptotic stability of uncertain fuzzy BAM neural networks with time-varying delays
Fuzzy Sets and Systems
Global exponential stability analysis of fuzzy BAM neural networks with time-varying delays
International Journal of Hybrid Intelligent Systems
A fuzzy clustering neural network architecture for classification of ECG arrhythmias
Computers in Biology and Medicine
Approximation of stochastic processes by T--S fuzzy systems
Fuzzy Sets and Systems
Genetic granular cognitive fuzzy neural networks and human brains for pattern recognition
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Implementation of a neuro-fuzzy network with on-chip learning and its applications
Expert Systems with Applications: An International Journal
A neural-fuzzy modelling framework based on granular computing: Concepts and applications
Fuzzy Sets and Systems
Prediction of time sequence using recurrent compensatory neuro-fuzzy systems
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
A self-constructing compensatory fuzzy wavelet network and its applications
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
CFNN without normalization-based acetone product quality prediction
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
A self-constructing compensatory neural fuzzy system and its applications
Mathematical and Computer Modelling: An International Journal
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In this paper, a new adaptive fuzzy reasoning method using compensatory fuzzy operators is proposed to make a fuzzy logic system more adaptive and more effective. Such a compensatory fuzzy logic system is proved to be a universal approximator. The compensatory neural fuzzy networks built by both control-oriented fuzzy neurons and decision-oriented fuzzy neurons cannot only adaptively adjust fuzzy membership functions but also dynamically optimize the adaptive fuzzy reasoning by using a compensatory learning algorithm. The simulation results of a cart-pole balancing system and nonlinear system modeling have shown that: 1) the compensatory neurofuzzy system can effectively learn commonly used fuzzy IF-THEN rules from either well-defined initial data or ill-defined data; 2) the convergence speed of the compensatory learning algorithm is faster than that of the conventional backpropagation algorithm; and 3) the efficiency of the compensatory learning algorithm can be improved by choosing an appropriate compensatory degree