灰色绝对关联优化决策方法在矿业决策中的应用研究

The Application of Grey Absolute Correlation Optimization Method in Mining Industry Decision

常用的多目标决策方法,具有各自不同的缺点,如模糊综合评判法信息损失较多,人工神经网络需要搜集大量的指标数据,主成分分析法计算繁琐.灰色关联优化矿业风险型多指标决策方法,由正、反两个方面的灰色绝对关联度得到的优属度予以评判,并建立了最优从属度的数学模型,通过对某矿业公司的大型决策的实证分析,得出了令人满意的结论.具有数据处理简化、计算量小、易于上机、信息保留多、较强的科学性和实用性.

The common multiple objective decision methods have their respective defects： fuzzy synthetic decision may lose a lot of information; artificial nerve net needs to collect a quantity of index data; principle component analysis method is complicated to calculate. This paper puts forward a new risk multiple index decision ofgrey correlation optimization theory and uses it to decide the subordinate degree from positive and negative greyabsolute correlation degree and set up a math model of optimized subordinate degree. Through the empirical analysis of great decisions of a mining company, the conclusion is satisfactory. It has the advantages of simple dataprocessing, less amount of calculation, easy to operate computer, more information reservation. It is of scientific and practical value.