基于灰色绝对关联优化的矿业风险型多指标决策方法

Multiple Index Decision-Making Approach for Optimizing MiningRisks Based on the Absolute Grey Correlation Theory

在经济、管理领域中,有许多的决策对象或问题,往往具有多个决策目标,需要予以同时或综合考察,并尽可能地满足多个目标,这就是多目标决策(multiple objective decision)问题。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等。本文提出的灰色关联优化矿业风险型多指标决策方法,通过计算多指标决策方案与最优、最劣方案的灰色绝对关联度,确定各方案的优劣度,克服了传统方法的缺点,具有较强的科学性和实用性。

In economic and management field, many decided objects or issues have several decision objectives that should be taken into consideration simultaneity to satisfy as many objectives as possible, which is multiple objective decision. Common multiple objective approach has different individual disadvantage, for example, there is many loss info in fuzzy synthetic appraisement approach, lots of index data need to collect in manual neural network, and calculation is too complicated in major component analysis approach etc. the paper offered the multiple index decision-making approach for optimizing mining risks based on the absolute grey correlation theory, then with calculating the grey correlation degree between multiple index decision scheme and best and worst scheme, determined the advantage and disadvantage of each scheme, overcome the disadvantage of traditional approach. It has better scientific and practical features. [ Descriptors ] Grey correlation Index Scheme Mining decision