C4.5: programs for machine learning
C4.5: programs for machine learning
Classification by fuzzy integral: performance and tests
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Monotone set functions defined by Choquet integral
Fuzzy Sets and Systems
An introduction to genetic algorithms
An introduction to genetic algorithms
The representation of importance and interaction of features by fuzzy measures
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Self-organizing maps
Using Model Trees for Classification
Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fuzzy Measure Theory
Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximation Techniques
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Neural Computation
Integration on finite sets: Research Articles
International Journal of Intelligent Systems
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
Genetic algorithms for determining fuzzy measures from data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Real-valued Choquet integrals with fuzzy-valued integrand
Fuzzy Sets and Systems
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Learning nonlinear multiregression networks based on evolutionary computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classification by nonlinear integral projections
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Cognitive cross-layer design with QoS provisioning for cooperative wireless networking
Proceedings of the 44th Annual Simulation Symposium
Feature interaction in subspace clustering using the Choquet integral
Pattern Recognition
Generalized nonlinear classification model based on cross-oriented choquet integral
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
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This paper proposes a new nonlinear classifier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification accuracy and power by capturing all possible interactions among two or more attributes. This generalized approach was developed to address unsolved Choquet-integral classification issues such as allowing for flexible location of projection lines in n-dimensional space, automatic search for the least misclassification rate based on Choquet distance, and penalty on misclassified points. A special genetic algorithm is designed to implement this classification optimization with fast convergence. Both the numerical experiment and empirical case studies show that this generalized approach improves and extends the functionality of this Choquet nonlinear classification in more real-world multi-class multi-dimensional situations.