Structure identification of fuzzy model
Fuzzy Sets and Systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Fuzzy-neural control: principles, algorithms and applications
Fuzzy-neural control: principles, algorithms and applications
Directional fuzzy clustering and its application to fuzzy modelling
Fuzzy Sets and Systems
Adaptive fuzzy modeling of nonlinear dynamical systems
Automatica (Journal of IFAC)
Identification of functional fuzzy models using multidimensional reference fuzzy sets
Fuzzy Sets and Systems
Constructing a fuzzy controller from data
Fuzzy Sets and Systems - Special issue on methods for data analysis in classificatin and control
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
Improving the fuzzy system performance by fuzzy system ensemble
Fuzzy Sets and Systems
A clustering algorithm for fuzzy model identification
Fuzzy Sets and Systems
A simply identified Sugeno-type fuzzy model via double clustering
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on modeling with soft-computing
About the use of fuzzy clustering techniques for fuzzy model identification
Fuzzy Sets and Systems
A self-generating method for fuzzy system design
Fuzzy Sets and Systems
Identification algorithms for fuzzy relational matrices, part 2: optimizing algorithms
Fuzzy Sets and Systems
Fuzzy relational predictive identification
Fuzzy Sets and Systems
Fuzzy Control and Fuzzy Systems
Fuzzy Control and Fuzzy Systems
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Hierarchical neuro-fuzzy quadtree models
Fuzzy Sets and Systems - Fuzzy models
Hybrid fuzzy modeling of chemical processes
Fuzzy Sets and Systems - Fuzzy models
Structure identification and parameter optimization for non-linear fuzzy modeling
Fuzzy Sets and Systems - Fuzzy systems
Dual extended Kalman filtering in recurrent neural networks
Neural Networks
Fuzzy function approximation with ellipsoidal rules
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy control of multivariable nonlinear servomechanisms with explicit decoupling scheme
IEEE Transactions on Fuzzy Systems
A new approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
Forecasting time series with genetic fuzzy predictor ensemble
IEEE Transactions on Fuzzy Systems
Development of a systematic methodology of fuzzy logic modeling
IEEE Transactions on Fuzzy Systems
A transformed input-domain approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
Supervised fuzzy clustering for rule extraction
IEEE Transactions on Fuzzy Systems
A new approach to fuzzy-neural system modeling
IEEE Transactions on Fuzzy Systems
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In this paper a novel algorithm is proposed to train fuzzy models. The novelty of the contribution lies on the development of a nearest neighbor-clustering scheme, which is able to perform the structure identification and the model parameter estimation without taking into account any random initial guesses. This nearest neighbor-clustering search is based on defining ordinary fuzzy partitions in the input space, and produces a number of spherical-shaped fuzzy clusters. The number of these clusters provides the number of rules of the fuzzy model. The premise model parameters are obtained by projecting the spherical clusters on each axe. Relationally, the consequent model parameters are determined by applying the orthogonal least-squares algorithm. Finally, the above model parameters are fine tuned by using the gradient descent method. The whole scheme requires one-pass through the data set and therefore it is a fast procedure that is easy to implement. Simulation experiments verify the algorithm's efficiency with respect to its prediction performance, its initialization capabilities, and its speed.