Abstract: In order to meet the special requirements of mining method selection in underground metal mines under high-altitude mining conditions,a multi-attribute decision-making optimization method for mining methods based on variable weight theory was proposed.First of all,using the AHP,based on factors such as technology,economy,labor productivity,resource utilization,safety and environment,a multi-attribute decision-making evaluation index system for mining method optimization was constructed.Taking the steeply inclined thin orebody of Guoluolongwa Gold Deposit as an example,the preferred alternatives for mining methods were initially selected through engineering analogy.Secondly,a multi-attribute decision-making matrix for mining method optimization was constructed,and the matrix was normalized by a reasonable normalization method.Then,the constant weights of the evaluation indicators were obtained by the AHP.On this basis,the special requirements of the high-altitude mining conditions for the evaluation indicators such as stope production capacity,special environmental adaptation degree,labor intensity and working face safety were considered.According to the variable weight theory,the weight of each evaluation index was dynamically adjusted through the state vector function,so that the weight was close to the real state,so as to correctly reflect the actual needs of the project.Finally,the superior degree of each alternative scheme is obtained through TOPSIS approximation of the ideal solution sorting method.The results show that under the condition of considering the equilibrium of indicator state values,the punishment of over-low indicator and the incentive of better indicator,the superiority degree of three mining method schemes A1(middle-deep hole sublevel subsequent filling method ) ,A2 (shallow hole retention method) and A3 (resuing stoping) are 62.1%,57.2% and 37.3%,respectively,and the middle-deep hole sublevel subsequent filling method of A1 is the optimal mining method.The optimization results are more in line with engineering practice,and this method provides a new idea for the optimization of mining methods in underground metal mines.