Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites
Information Sciences—Informatics and Computer Science: An International Journal
Choquet fuzzy integral based modeling of nonlinear system
Applied Soft Computing
Data-based adaptive computation technique
International Journal of Information and Communication Technology
Implementation of a Choquet fuzzy integral based controller on a real time system
NN'06 Proceedings of the 7th WSEAS International Conference on Neural Networks
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A new perceptual organization approach to 3D measuring system based on the fuzzy integral
Image and Vision Computing
Decision-making for ecological reservoir operation based on λ fuzzy measures
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Expert Systems with Applications: An International Journal
Design of interval networks based on neural network and Choquet integral
Applied Soft Computing
Neural network ensemble and support vector machine classifiers: an application to remote sensed data
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
Estimation of fuzzy measures using covariance matrices in Gaussian mixtures
Applied Computational Intelligence and Soft Computing
Choquet fuzzy integral based verification of handwritten signatures
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A Choquet fuzzy integral-based approach to hierarchical network implementation is investigated. In this approach, we generalized the fuzzy integral as an excellent component for decision analysis. The generalization involves replacing the max (or min) operator in information aggregation with a fuzzy integral-based neuron, resulting in increased flexibility. The characteristics of the Choquet fuzzy integral are studied and a network-based decision-analysis framework is proposed. The trainable hierarchical network can be implemented utilizing the fuzzy integral-based neurons and connectives. The training algorithms are derived and several examples given to illustrate the behaviors of the networks. Also, we present a decision making experiment using the proposed network to learn appropriate functional relationships in the defective numeric fields detection domain