Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Extraction of fuzzy rules from support vector machines
Fuzzy Sets and Systems
Fuzzy-rough nearest neighbor algorithms in classification
Fuzzy Sets and Systems
Fast learning in networks of locally-tuned processing units
Neural Computation
Kernelized fuzzy attribute C-means clustering algorithm
Fuzzy Sets and Systems
A methodology for automated fuzzy model generation
Fuzzy Sets and Systems
Fuzzy function approximation with ellipsoidal rules
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy neural network in case-based diagnostic system
IEEE Transactions on Fuzzy Systems
Rule-based modeling of nonlinear relationships
IEEE Transactions on Fuzzy Systems
A new approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
An online self-constructing neural fuzzy inference network and its applications
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Rule-base structure identification in an adaptive-network-based fuzzy inference system
IEEE Transactions on Fuzzy Systems
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Estimation by the nearest neighbor rule
IEEE Transactions on Information Theory
Conditional fuzzy clustering in the design of radial basis function neural networks
IEEE Transactions on Neural Networks
Using radial basis functions to approximate a function and its error bounds
IEEE Transactions on Neural Networks
Evidence aggregation networks for fuzzy logic inference
IEEE Transactions on Neural Networks
Functional equivalence between radial basis function networks and fuzzy inference systems
IEEE Transactions on Neural Networks
Evolving space-filling curves to distribute radial basis functions over an input space
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach
Fuzzy Sets and Systems
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Various approaches to partitioning of high-dimensional input space have been studied with the intent of developing homogeneous clusters formed over input and output spaces of variables encountered in system modeling. In this study, we propose a new design methodology of a fuzzy model where the input space is partitioned by making use of some classification algorithm, especially, fuzzy K-nearest neighbors (K-NN) classifier being guided by some auxiliary information granules formed in the output space. This classifier being regarded in the context of this design as a supervision mechanism is used to capture the distribution of data over the output space. This type of supervision is beneficial when developing the structure in the input space. It is demonstrated that data involved in a partition constructed by the fuzzy K-NN method realized in the input space show a high level of homogeneity with regard to the data present in the output space. This enhances the performance of the fuzzy rule-based model whose premises in the rules involve partitions formed by the fuzzy K-NN. The design is illustrated with the aid of numeric examples that also provide a detailed insight into the performance of the fuzzy models and quantify several crucial design issues.