International Journal of Knowledge-based and Intelligent Engineering Systems - Extended papers selected from KES-2006
Fuzzy measure of multiple risk factors in the prediction of osteoporotic fractures
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model
IEICE - Transactions on Information and Systems
Image classification by fusion for high-content cell-cycle screening
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Multi-class probability SVM fusion using fuzzy integral for fault diagnosis
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
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An algorithm for fusing multiple handwritten-numeral classifiers is addressed herein using the fuzzy integral in the sense of adaptive aggregation. This method includes a procedure for calculating the 驴-fuzzy measures which are adaptively adjusted depending on the interactions among individual classifiers. Based on these fuzzy measures, the fuzzy integral is then used as a nonlinear functional to search for the maximum degree of agreement between the complementary/conflicting multiple sources of evidence. Results obtained from the fuzzy integral are used for decision making in the classification problem. Experimental results on handwritten numeral recognition show that the performance of this multi-classifier fusion method outperforms that of other conventional classifier-combination techniques.