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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 the field of economy and management, there are many decision-making objects or problems, which often have multiple decision-making objectives. They need to be examined simultaneously or comprehensively and meet as many objectives as possible. This is a multiple objective decision problem. Commonly used multi-objective decision-making methods have their own different shortcomings, such as fuzzy comprehensive evaluation of information loss, artificial neural network needs to collect a large number of indicators of data, the principal component analysis of complex calculations. In this paper, the gray relational optimization of mining risk-based multi-index decision-making method proposed in this paper is to determine the advantages and disadvantages of each program by calculating the absolute gray level of multi-criteria decision-making and the optimal and the worst case, overcome the shortcomings of the traditional method, Strong scientific and practical.