Fuzzy Inference of Comprehensive Information of Early Warning for Dam Safety
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Abstract:
The multi-level fuzzy evaluation method is commonly used for the early warning for dam safety, but this method has deficiencies. In this paper, the fuzzy inference method was introduced and the related theories of approximate inference based on the features of multiple implicational propositions were used to determine a multi-dimensional approximate fuzzy inference method for early warning of dam safety. Firstly, the dam conditions and dam safety warning were performed fuzzy classification based on the strong driving factors reflecting dam characteristics, and the speculative premise was developed using the summarized fuzzy conditional statement. Secondly, the dam conditions represented by the strong driving factors were the multiple inputs of fuzzy inference system, the dam safety warning was the single output of fuzzy inference system, and the response of dam safety warning was determined by the small premise composed of current factors based on the fuzzy inference rule. Finally, case studies were presented to analyze the application process of the method.
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