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Nuclear power plant is a large and complex system, when it fail, a fast and accurate fault diagnosis is needed to ensure a safe and efficient working of nuclear power plant. In this paper, the feasibility of exploiting fault diagnosis system based on fuzzy sets theory in nuclear plant was demonstrated. The genetic algorithm was introduced to optimize the rules of diagnosis, so as to achieve fast fault...
By studying the structure of fuzzy information and the mechanism of fuzzy optimization, one concept, quasi-linear fuzzy number, is first proposed in this paper. It has been proven that quasi-linear fuzzy number can approach to any form of fuzzy number under Lp-metric. Second, by distinguishing principal indexes and assistant indexes, this paper gives the comparison method of fuzzy information based...
Fuzzy extension matrix (FEM) inductive learning is an important method that generates knowledge from cases. Compared with conventional extension matrix techniques, it is more powerful and practical to handle with ambiguities in classification problems. Rule extraction from fuzzy extension matrix involves three parameters alpha, beta and gamma. These parameters play an importation role in the entire...
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