基于层次分析和模糊数学的采矿方法选择

Mining method choice based on AHP and fuzzy mathematics

建立采矿方案综合评判指标体系,运用层次分析法和模糊数学的基本原理对多种采矿方案进行综合评判优选。在评判优选过程中,综合考虑影响采矿方案的动态、静态、定量、非定量指标,如技术、经济指标及采矿地压控制程度等;将待选择方案指标转换成隶属度矩阵,通过层次分析法得到各因素权重向量,从而建立模糊综合评判模型,利用模糊数学原理计算出各方案基于影响因素的综合优越度。以新桥硫铁矿为例,得出待选采矿方案的优越度分别为96.0%,80.4%和86.5%,从而确定第1种方案最优。

The AHP （analytical hierarchy process） and the fuzzy mathematics method fundamental theory were used to make a synthetic assessment about the mining methods based on the synthetic assessment index system of the mining method. During this process, lots of dynamic and static, fix and non-fix quantified influence factors working on the mining method were taken into account, such as the technical and economic factors and the control degree of stress during mining etc. The influence factor indexes of the mining method were transformed into the matrix of the membership degrees. The weight matrix of the influence factors was established according to the AHP method. According to the weight matrix and the matrix of the membership degrees, the fuzzy synthetic judge model was established, and the synthetic superior degree of the mining methods based on the influence factors was gotten by the numeration of the fuzzy mathematics methods. The synthetic superior degrees of the mining methods in Xinqiao Pyrite Mine are 96.0%, 80.4% and 86.5% respectively according to this method, and the first method becomes the best.