Study on Optimization of Landslide Treatment Schemes Based on Entropy Weight Grey Incidence and D-S Evidence Theory

Abstract

Landslide disaster is a serious natural hazard next to earthquake and floodwater. It has brought about great losses to the economic and societal development worldwide. Aiming at the characteristics and requirements in the process of landslide treatment, an optimization algorithm of landslide treatment schemes selection is proposed by combining entropy weight grey incidence with D-S evidence theory. Firstly, it employs the theory to acquire the weights of different indices. Secondly, it determines uncertain degrees corresponding to different indices through the methodology of grey incidence. Finally, the mass functions of different targets in different indices can be obtained, carrying out the fusion of different mass functions on the basis of D-S theory of evidence and sorting the targets according to the belief function value. It is verified by example calculation and comparative analysis that the method is feasible and effective, providing theoretical basis for landslide treatment.