采矿方案优选的熵模糊物元决策模型

针对采矿方案优选决策多属性、确定性与不确定性共存的特点, 从安全、经济和技术3个角度出发, 综合考虑影响采矿方案的动态、静态、定量、非定量指标, 选取生产能力、掌子面工效、损失率、贫化率、采切比、采矿成本、回采安全程度和施工难易程度8个指标, 建立了基于熵权的采矿方案优选的模糊物元评价模型。在评价过程中, 引用信息熵所反映数据本身的效用值来计算指标的熵权和层次分析法求得的专家权重来求得综合权重, 用方案的各项评价指标及其相应的模糊量值构造复合模糊物元, 通过计算与标准模糊物元之间的欧式贴近度来实现方案的排序与择优, 并以黄沙坪铅锌矿为例证明了该方法应用于采矿方案优选的有效性和可行性。研究表明该模型有效地避免了权重分配困难的问题, 通过评价样本与评价标准之间的远近关系, 得出黄沙坪铅锌矿3种采矿方案的欧式贴近度分别为82.1％, 80.4％和68.9％, 从而选取方案一。该决策模型为采矿方案综合评价提供了一种新思路。

Application of Fuzzy Matter-element Model Based on Coefficients of Entropy in Optimization of Mining Scheme

In view of features of multi-attribution, certainties and uncertainties coexisted in the optimization of mining scheme, a fuzzy matter-element model for optimization of mining scheme was established based on entropy weight in terms of safety, economy and technology. The dynamic, static, quantitative and non-quantitative factors influencing mining scheme were taken into account, and 8 indexes were selected including productivity, working face efficiency, loss ratio, dilution ratio, stripping ratio, mining costs, stoping safety and operating difficulties. During this process, the synthetic evaluation criterion weight was determined by combining the entropy weight and the decision-maker's subjective evaluation criterion weight. The optimal mining scheme was determined by calculating Euclid approach degree (EAD) between the compound fuzzy matter-element and the standard fuzzy matter-element. The practice in Huangshaping Lead-zinc Mine shows this new procedure is effective and feasible for selecting alternatives of mining scheme, which can effectively solve the difficulty in weight allocation and make the weight allocation more reasonable. The Euclid  approach degree (EAD) of the mining methods in Huangshaping Lead-zinc Mine are respectively 82.1％, 80.4％and 68.9％ based on this model, so the first mining scheme is selected. It can be seen this model proposed a new idea for comprehensively evaluating mining scheme.