Landslide risk assessment based on combination weighting-improved TOPSIS

Abstract

Landslide risk assessment is of great significance to landslide disaster monitoring and prevention. A landslide hazard evaluation method based on combination weighting and improved TOPSIS method is proposed. TOPSIS based on grey correlation degree is applied to landslide hazard evaluation, and a new closeness degree is constructed to evaluate landslide hazard level. The subjective and objective weights of evaluation indexes are obtained by G1 method and entropy weight method, which improves the accuracy of TOPSIS evaluation results. The case analysis shows that the method has high accuracy, certain rationality and effectiveness, and can provide a reference for landslide disaster prevention.