Predication model of game theory-matter-element extension for blastability classification and its application

In this paper, in order to improve the present methods of rock blastability classification, a prediction model of game theory-matter-element extension for blastability classification was established. Firstly, based on the analysis of main causes of blastbility, three indexes were chosen as the evaluation indicators and the classification standards were confirmed. Meanwhile, in order to remedy the defect of the correlation function cannot be calculated when the eigenvalue exceeds the controlled field, the blastability classification standards were normalized. Secondly, based on the game theory, the synthetic weight values of eigenvalue were determined by integrating the objective-dynamic weight and subjective-static weight, which can solve the problems occurred in traditional matter-element extension assessment method, that is, the indicator weight only depends on the eigenvalue, and ignores the significance of feature. Finally, the classification of blastability was predicted by using the maximum incidence degree criterion, and the prediction model of game theory-matter-element extension for blastability classification was proposed. The application results show that the blastability of surrounding rock and ore body in the roof is of medium-grade, and the surrounding rock in footwall is of relatively low-grade. The predication results agree well with the project reality geological situation, thus, the corresponding control measures about the blasting in mine engineering were put forward.