Application of Ideal Point Method in Rockburst Prediction Based on Weight Back Analysis Method

摘要

Rockburst is one of the main geological hazards in high terrestrial stress zone. The prediction of possibility and intensity of rockburst are important issues. Ideal point method is a general multi-objective decision analysis method. The basic process is to construct the ideal solution and anti-ideal solution of evaluation objects, and make the degree of close to the ideal solution or away from the anti-ideal solution as classification criterion. It has not yet seen the application in rockburst prediction. It has great influence to the finial evaluation results for the reasonable weight values of the evaluation indices. Although there are a lot of methods to determine weights recently, these methods have their deficiencies. To solve these problems, weights back analysis method based on optimization theory are used, which changes the directly given weights methods to the problem of back analyzing index weights according to engineering samples. The method is fully derived by engineering samples, and no experience is necessary. Finally, the result using this method shows that this method is reliable. Ideal point method provides a new idea to predict rockburst, and weights back analysis method is universal and can be used in any weights problems.