International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Some quantities represented by the Choquet integral
Fuzzy Sets and Systems
Choquet integral and fuzzy measures on locally compact space
Fuzzy Sets and Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites
Information Sciences—Informatics and Computer Science: An International Journal
Grey Information: Theory and Practical Applications (Advanced Information and Knowledge Processing)
Grey Information: Theory and Practical Applications (Advanced Information and Knowledge Processing)
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Genetic algorithms for determining fuzzy measures from data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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
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A flow-based perceptron constructed on the basis of the nonadditive grey single-layer perceptron (GSLP) is proposed. In common with the nonadditive GSLP, the proposed perceptron has the property that it measures the grades of relationship between input patterns and a typical pattern using gray relational analysis (GRA) and a Choquet fuzzy-integral-based neuron. However, the proposed perceptron further uses the single criterion net flow for each criterion, instead of the original performance value, to perform GRA. All flows representing preference information among patterns can be generated using the preference relation to gauge the intensity of preference for one pattern over another on each criterion. Experimental results further demonstrate that the generalization ability of the proposed perceptron performs well compared to that of the nonadditive GSLP.