Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method

Coal mining activities have intensified, and underground depths increased, posing significant challenges for mitigating rock burst hazard. To address this issue, paper proposes an improved comprehensive weighting prediction (CF-TOPSIS) method that predicts weight grade indices evaluation. The study introduces a novel variable coefficient to optimize the conflict response problem employs correlation forward other techniques minimize errors caused by large data differences. Based on these, CRITIC objective algorithm model is established, FAHP used factors make index of more reasonable, thus enhancing accuracy hazard assessment working faces. Results from engineering examples show results combined with field drill cutting methods microseismic monitoring verify proposed method, indicating its feasibility effectiveness in predicting coal mines.