International Journal of Approximate Reasoning
Neurocomputations in Relational Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
On the principles of fuzzy neural networks
Fuzzy Sets and Systems
Fuzzy neural networks: a survey
Fuzzy Sets and Systems
Neural Networks
Fuzzy Systems as Universal Approximators
IEEE Transactions on Computers
A model reference control structure using a fuzzy neural network
Fuzzy Sets and Systems
Induction of fuzzy rules and membership functions from training examples
Fuzzy Sets and Systems
A course in fuzzy systems and control
A course in fuzzy systems and control
Self-organizing rule-based control of multivariable nonlinear servomechanisms
Fuzzy Sets and Systems
Real-time stable self-learning FNN controller using genetic algorithm
Fuzzy Sets and Systems
Neuro-genetic approach to multidimensional fuzzy reasoning for pattern classification
Fuzzy Sets and Systems
Neural Networks and Natural Intelligence
Neural Networks and Natural Intelligence
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
Integration of self-organizing feature map and K-means algorithm for market segmentation
Computers and Operations Research
Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets
Fuzzy Sets and Systems - Clustering and modeling
Hierarchical neuro-fuzzy quadtree models
Fuzzy Sets and Systems - Fuzzy models
Fuzzy Sets and Systems - Fuzzy systems
Fuzzy association rules and the extended mining algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Representation of digital image by fuzzy neural network
Fuzzy Sets and Systems
Verifying the Proximity Hypothesis for Self-organizing Maps
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
A Prioritized Information Fusion Method for Handling Fuzzy Decision-Making Problems
Applied Intelligence
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers
POP-Yager: A novel self-organizing fuzzy neural network based on the Yager inference
Expert Systems with Applications: An International Journal
Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural
Expert Systems with Applications: An International Journal
An investigation of neuro-fuzzy systems in psychosomatic disorders
Expert Systems with Applications: An International Journal
Fuzzy function approximation with ellipsoidal rules
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A multilevel weighted fuzzy reasoning algorithm for expert systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An ART-based fuzzy adaptive learning control network
IEEE Transactions on Fuzzy Systems
Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks
IEEE Transactions on Fuzzy Systems
A supervisory fuzzy neural network control system for tracking periodic inputs
IEEE Transactions on Fuzzy Systems
Self-organized fuzzy system generation from training examples
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Hybrid control using recurrent fuzzy neural network for linear induction motor servo drive
IEEE Transactions on Fuzzy Systems
Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning
IEEE Transactions on Fuzzy Systems
Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique
IEEE Transactions on Fuzzy Systems
An optimal tracking neuro-controller for nonlinear dynamic systems
IEEE Transactions on Neural Networks
Recurrent neuro-fuzzy networks for nonlinear process modeling
IEEE Transactions on Neural Networks
A recurrent self-organizing neural fuzzy inference network
IEEE Transactions on Neural Networks
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Multilayer perceptron, fuzzy sets, and classification
IEEE Transactions on Neural Networks
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
Selecting an appropriate excavation construction method based on qualitative assessments
Expert Systems with Applications: An International Journal
Review: Hybrid expert systems: A survey of current approaches and applications
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In literature, there has been an increasing interest in the fuzzy approximate reasoning (FAR) via fusion of neural networks and fuzzy logic under the name of fuzzy neural network (FNN). Therefore, FNN usually provides a main theoretical basis for FAR. Most of the existing FNN models have been proposed to implement different types of single-staged fuzzy reasoning mechanisms. The single-staged FAR, however, is far short of effectively solving complicated decision-making problems. Rather, we need a multi-staged FAR in which the consequence of a rule in one reasoning stage is passed to the next stage as a fact, leading to building up a high level of intelligence to solve problems. In this sense, we propose a new multi-staged FAR named SOFAR (self-organizing FAR) by integrating self-organizing feature map (SOFM) and fuzzy logic. From the stipulated input-output data pairs, the proposed SOFAR can generate appropriate fuzzy rules via SOFM and modified back-propagation driven parameter modifications. To illustrate the performance of the proposed SOFAR, we first used a simulated data from Takagi and Hayashi [Takagi, H., & Hayashi, I. (1991). NN-driven fuzzy reasoning. International Journal of Approximate Reasoning, 5, 191-212]. Then a real data set was adopted from a construction of retaining wall in urban area, applying the proposed SOFAR to obtain promising results in terms of error rate and statistical tests.