Abstract
A new decision information fusion algorithm based on the fuzzy neural networks, which introduces fuzzy comprehensive assessment into traditional decision information fusion technology under the “soft” decision architecture, is proposed. The process of fusion is composed of the comprehensive operation and the global decision through fusing the local decision of multiple sensors for obtaining the global decision of the concerned object at the fusion center. In the practical application, the algorithm has been successfully applied in the temperature fault detection and diagnosis system of hydroelectric simulation system of Jilin Fengman. In the analysis of factual data, the performance of the algorithm precedes that of the traditional diagnosis method.
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Sun, PG. et al. (2007). The Research of Decision Information Fusion Algorithm Based on the Fuzzy Neural Networks. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72393-6_29
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DOI: https://doi.org/10.1007/978-3-540-72393-6_29
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