APPLICATION OF BAYESIAN NETWORKS IN THE RISK DECISION OF MINING INVESTMENT
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.
risk decision Bayesian networks mining investment
Liu Wensheng Zeng Fengzhang
Beijing institute of technology, economic and management school, Beijing, China
国际会议
北京
英文
2007-11-01(万方平台首次上网日期,不代表论文的发表时间)