Fuzzy measure analysis of public attitude towards the use of nuclear energy
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Digital neural networks
Fuzzy integral in multicriteria decision making
Fuzzy Sets and Systems - Special issue on fuzzy information processing
A neural network approach for the determination of interhospital transport mode
Computers and Biomedical Research
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Multi-objective genetic algorithm and its applications to flowshop scheduling
Computers and Industrial Engineering
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A genetic algorithm for optimizing Takagi-Sugeno fuzzy rule bases
Fuzzy Sets and Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Network Training Using Genetic Algorithms
Neural Network Training Using Genetic Algorithms
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Neural Networks in Business: Techniques and Applications
Neural Networks in Business: Techniques and Applications
Computers and Operations Research
Fuzzy Classifier Design
Use of fuzzy-logic-inspired features to improve bacterialrecognition through classifier fusion
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
Interval regression analysis by quadratic programming approach
IEEE Transactions on Fuzzy Systems
Multiple network fusion using fuzzy logic
IEEE Transactions on Neural Networks
Level-dependent Sugeno integral
IEEE Transactions on Fuzzy Systems
Fuzzy Support Vector Machine for bankruptcy prediction
Applied Soft Computing
Using partial least squares and support vector machines for bankruptcy prediction
Expert Systems with Applications: An International Journal
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The classification ability of a single-layer perceptron could be improved by considering some enhanced features. In particular, this form of neural networks is called a functional-link net. In the output neuron's activation function, such as the sigmoid function, an inner product of a connection weight vector with an input vector is computed. However, since the input features are not independent of each other for the enhanced pattern, an assumption of the additivity is not reasonable. This paper employs a non-additive technique, namely the fuzzy integral, to aggregate performance values for an input pattern by interpreting each of the connection weights as a fuzzy measure of the corresponding feature. A learning algorithm with the genetic algorithm is then designed to automatically find connection weights. The sample data for bankruptcy analysis obtained from Moody's Industrial Manuals is considered to examine the classification ability of the proposed method. The results demonstrate that the proposed method performs well in comparison with traditional functional-link net and multivariate techniques.