Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Some quantities represented by the Choquet integral
Fuzzy Sets and Systems
Identification of &lgr;-fuzzy measure by genetic algorithms
Fuzzy Sets and Systems
Choquet integral and fuzzy measures on locally compact space
Fuzzy Sets and Systems
A genetic algorithm for determining nonadditive set functions in information fusion
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Neural Networks in Business Forecasting
Neural Networks in Business Forecasting
Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites
Information Sciences—Informatics and Computer Science: An International Journal
International Journal of Approximate Reasoning
Genetic algorithms for determining fuzzy measures from data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Applying fuzzy measures and nonlinear integrals in data mining
Fuzzy Sets and Systems
The evaluation of service quality using generalized Choquet integral
Information Sciences: an International Journal
Fuzzy Classifier Design
Identification of general fuzzy measures by genetic algorithmsbased on partial information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Face recognition using fuzzy Integral and wavelet decomposition method
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hybridization of fuzzy GBML approaches for pattern classification problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Choquet fuzzy integral-based hierarchical networks for decision analysis
IEEE Transactions on Fuzzy Systems
Decision-based neural networks with signal/image classification applications
IEEE Transactions on Neural Networks
Building a qualitative recruitment system via SVM with MCDM approach
Applied Intelligence
New aggregation operators based on the Choquet integral and 2-tuple linguistic information
Expert Systems with Applications: An International Journal
Social support mechanism in micro-blogosphere
Proceedings of the 13th International Conference on Electronic Commerce
A social appraisal mechanism for online purchase decision support in the micro-blogosphere
Decision Support Systems
| Hi-index | 0.00 |
This paper interprets an output of the single-layer perceptron as the synthetic evaluation of the similarity between the input pattern and two classes for two-class pattern classification problems. For this, an appropriate tool for multiple attribute decision making, TOPSIS, can be an appropriate tool. A novel single-layer perceptron based on the TOPSIS is proposed by measuring the grades of similarity between an input pattern and the typical patterns of the respective classes. To obtain the relative similarity in terms of certain distance measure, since the interaction among attributes cannot be ignored, the nonlinear Choquet integral with respect to the fuzzy measure is incorporated into the activation function. Moreover, a genetic algorithm-based method is designed to determine the connection weights, which are interpreted as the degrees of importance of the respective input signals. The experimental results further demonstrate that classification results obtained by the single-layer perceptron with the Choquet integral-based TOPSIS are comparable to those obtained by the other fuzzy or non-fuzzy classification methods.