Landslide risk assessment based on combination weighting-unascertained measure theory

Landslide susceptibility assessment and prediction are the important contents of the first solution for the decision-making of prevention and mitigation of disaster. Starting from the geological environmental conditions within Longzi county in Tibet, the 13 influencing factors are selected, including elevation, slope and so on. According to landslide risk classification standards established, landslide risk rating is divided into high, moderate and low. Based on combination weighting-unascertained measure theory coupled evaluation model, 20 landslides. risks in study area are assessed and analyzed by unascertained measure function, combination weighting and confidence criterion. Each landslide risk is obtained. Compared with evaluation results of fuzzy matter-element and catastrophe theory, the evaluation results are consistent with actual situation and reasonable. Therefore, the model can provide a new idea for landslide risk prediction.