摘要
为了减小人的主观经验对采矿方法决策的影响,确保不确定性和不完整性信息的有效利用,采用符合人们思维和语言表达习惯的模糊推理系统,提出一种基于FIS的缓倾斜层状薄矿床采矿方法的优选模型,其变量涉及到技术、经济、安全和环境4类影响因子中的10种影响因子,并以江西某钒矿为例,设计了5种备选采矿方法,得出待选方案的采矿方法综合优越度依次为0.498、0.364、0.621、0.351、0.651,从而确定分层条带协同开采嗣后充填法为最优。研究结果表明,基于FIS(Mamdani型)的采矿方法优选模型简单易操作且科学可靠。
A mining method optimization model of the gently inclined thin layered deposits was proposed based on fuzzy inference system , which conforms to people＇s thinking and language habits, to reduce impact on people＇s subjective experience of choosing mining method and to ensure effective use of uncertainty and incompleteness of data. Its variables involved 10 factors in 4 kinds of factors （technical, economic, safety and environmental）. With an example of a vanadium mine in Jiangxi, the overall superior degrees of the five mining methods to be selected were 0. 498, 0. 364,0. 621,0. 351 and 0. 651 respectively and the layered strip cooperative subsequent filling mining method was considered as the best. The results showed that the mining method optimization model based on FIS （Mamdani） is simple, easy to operate and more scientific and reliable.
出处
《化工矿物与加工》
CAS
北大核心
2016年第6期32-36,共5页
Industrial Minerals & Processing
基金
湖北省科技支撑计划项目(编号:2014BCB033)
