Application of Interpolation Model Based on Genetic Algorithm to Comprehensive Evaluation of Flood Disaster Loss

Precise comprehensive evaluation of flood disaster loss can supply scientific decision-making basis for flood disaster loss management. Due to the evaluation result of each single index of the practical flood disaster sample is often incompatible, a new method, named project pursuit interpolation model (PPIM for short), was presented to evaluate the degree of flood disaster loss. In PPIM model multi-dimensional evaluation index data was condensed to one-dimensional data firstly, and then the one-dimensional index data and the corresponding evaluation grade were composed to form two dimensional coordinates sample points, finally proper control nodes were chosen to establish evaluation model with cubic natural spline and polynomial function. The evaluation results of flood disaster of Henan Province show that the average absolute grade error is below 0.1 grades, and that the method is simple, effective and general. So the method can be applied to many other grade evaluation systems.