Pattern Recognition Letters
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
Effective learning system techniques for human-robot interaction in service environment
Knowledge-Based Systems
Classification method using fuzzy level set subgrouping
Expert Systems with Applications: An International Journal
Similarity classifier in diagnosis of bladder cancer
Computer Methods and Programs in Biomedicine
Pulse images recognition using fuzzy neural network
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A neural network-based multi-agent classifier system
Neurocomputing
Extracting rules for classification problems: AIS based approach
Expert Systems with Applications: An International Journal
A mixed integer optimisation model for data classification
Computers and Industrial Engineering
An interpretable fuzzy rule-based classification methodology for medical diagnosis
Artificial Intelligence in Medicine
Clustering: A neural network approach
Neural Networks
Semi-supervised learning in knowledge discovery
Fuzzy Sets and Systems
Rough fuzzy set based scale space transforms and their use in image analysis
International Journal of Approximate Reasoning
Face detection using an adaptive skin-color filter and FMM neural networks
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Development of an adaptive neuro-fuzzy classifier using linguistic hedges: Part 1
Expert Systems with Applications: An International Journal
Forecasting KOSPI based on a neural network with weighted fuzzy membership functions
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Mapping multi-spectral remote sensing images using rule extraction approach
Expert Systems with Applications: An International Journal
A weighted FMM neural network and its application to face detection
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Robust real-time face detection using hybrid neural networks
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
A weighted fuzzy min-max neural network and its application to feature analysis
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Fault detection in water supply systems using hybrid (theory and data-driven) modelling
Mathematical and Computer Modelling: An International Journal
The pattern classification based on fuzzy min-max neural network with new algorithm
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Evolving granular neural networks from fuzzy data streams
Neural Networks
A parallel approach to clustering with ant colony optimization
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
Fuzzy lattice reasoning for pattern classification using a new positive valuation function
Advances in Fuzzy Systems
A hierarchical procedure for the synthesis of ANFIS networks
Advances in Fuzzy Systems
GOFAM: a hybrid neural network classifier combining fuzzy ARTMAP and genetic algorithm
Artificial Intelligence Review
Adaptability, interpretability and rule weights in fuzzy rule-based systems
Information Sciences: an International Journal
How well Fuzzy ARTMAP approximates functions?
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy classifier based on fuzzy support vector machine
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A supervised learning neural network classifier that utilizes fuzzy sets as pattern classes is described. Each fuzzy set is an aggregate (union) of fuzzy set hyperboxes. A fuzzy set hyperbox is an n-dimensional box defined by a min point and a max point with a corresponding membership function. The min-max points are determined using the fuzzy min-max learning algorithm, an expansion-contraction process that can learn nonlinear class boundaries in a single pass through the data and provides the ability to incorporate new and refine existing classes without retraining. The use of a fuzzy set approach to pattern classification inherently provides a degree of membership information that is extremely useful in higher-level decision making. The relationship between fuzzy sets and pattern classification is described. The fuzzy min-max classifier neural network implementation is explained, the learning and recall algorithms are outlined, and several examples of operation demonstrate the strong qualities of this new neural network classifier