Variable fuzzy recognition model for the flood hazard assessment based on Set Pair Analysis
Juliang Jin · Journal of Northwest A&F University · 2012
【Objective】The research was to establish the flood hazard assessment model based on model intelligent method,and further improve the evaluating precision,which can supply important decision basis for establishing the regional flood control programming and realizing the safe utilization of flood resources.【Method】In view of the difficulties to establish the relative difference degree function and its large amount of calculation,the Set Pair Analysis method was used to establish the relative difference degree function directly for the variable fuzzy recognition method firstly,the relative difference degree of single index was synthesized into membership degree of the flood sample by determining the weight of evaluation indexes,and then the variable fuzzy recognition model for the flood hazard assessment based on Set Pair Analysis was established,which was applied in the grade assessment system for the historical flood samples of Nanjing Station in the lower of Yangtze River,and finally realized the classification and sorting for the hazard grade of flood samples.【Result】The applying result shows that,the hazard grade of the flood samples determined by the variable fuzzy recognition model for the flood hazard assessment based on Set Pair Analysis,consistent with the results calculated by the Projection Pursuit method,has obvious differences and higher resolving power,which effectively avoids the uncertainty of the results brought by the subjective and arbitrary of the parameter values.【Conclusion】The calculating process of the established model is simple and visual,and the calculating result is reasonable and reliable,so it would have a significant popularization and application prospect in the other assessment problem of complex system lacking of standard evaluation grade.