Safety Evaluation of Urban Flood Control System Based on Variable Fuzzy Pattern Recognition

Abstract:

Urban flood control system is in relation to the concentration of the urban population and security of the social wealth, but there has yet to a mature evaluation system. This article establish a security assessment model of urban flood control system which is based on the variable fuzzy set theory. First of all, building an evaluation indicator system according to the influencing factors; secondly, using fuzzy pattern recognition model to introduce model parameters and the time the two variable factors and get multiple levels of membership, then to conduct a consistency inspection; Finally, averaging the effective levels of membership and getting the final evaluation. Choosing the case of Heze in Shandong, it came to the conclusion that the city's flood control system level is between mild warning state and severe alert state, the evaluating result is in accordance with heze flood conditions.

• Periodical: Advanced Materials Research (Volume 159)
• Pages: 264-269
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.159.264
• Online since: December 2010
• Authors: Ran Hang Zhao, Xiao Lei Lu, Min Wang
• Keywords: Safety Evaluation of Urban Flood Control System, Variable Fuzzy Pattern Recognition, Variable Fuzzy Set Theory

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