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APPLICATION OF BAYESIAN NETWORKS IN THE RISK DECISION OF MINING INVESTMENT

机译:贝叶斯网络在矿业投资风险决策中的应用

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Aiming at dynamic character that the risk factors changed with the updating information in the process of assessing mining investment risk, this paper analyzed the disadvantages of the traditional methods, introduced the Bayesian networks method. The basic concept and properties of Bayesian networks was discussed. This paper also combined the risk decision theory with the Bayesian networks and used the combination in the mining investment risk decision analysis. This paper also built the risk decision model in the area of mining investment based on Bayesian networks. At last, we used an example to demonstrate the effect of this method, which provided a new idea for decision analyst of mining investment.
机译:针对矿业投资风险评估过程中风险因素随信息更新而动态变化的特点,分析了传统方法的弊端,介绍了贝叶斯网络方法。讨论了贝叶斯网络的基本概念和性质。本文还将风险决策理论与贝叶斯网络相结合,并将其用于矿业投资风险决策分析中。本文还建立了基于贝叶斯网络的矿业投资领域风险决策模型。最后,通过一个实例来说明该方法的有效性,为矿业投资决策分析者提供了新的思路。

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