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A large number of random factors in the process of the coal bed methane (CBM) development project can lead to a high degree of risk and uncertainties, and the traditional investment decision-making methods (for example DCF method) ignored the value of investment opportunities which were brought by the project environment's uncertainties and management flexibilities. Introducing real options method,...
Statistical data shows that most of the accidents in Chinese coal mine enterprises are caused by human unsafe behavior. Therefore, establishing a sophisticated assessment index system can effectively predict human unsafe behavior. The traditional method is to use AHP-Fuzzy to evaluate human unsafe behavior. But this approach is one-sided, because its result is easily affected by decision-makers subjective...
In coal mine production logistics there are many random factors that result the characters of complexity, non-linear and uncertain of production system. But traditional safety evaluation methods rely on subjective experience, and have a lower evaluating precision. Artificial neural network has better nonlinear mapping ability and high learning ability, which overcomes the deficiencies. Therefore,...
Coal resource plays an irreplaceable role in economy development, which decides the importance of coal mine investment. The influencing factors of coal mine investment are complicated and diversified, so the valuation should be flexible. In this paper, firstly, the concept and classification of real option are introduced. Then, combining to the compound binomial tree for stages, the principle and...
Government supervision is one of the significant factors which influence the supervision of coal mine production safety, and the level of coal mine production safety is related directly to the performance of government supervision. In this paper, Dempster-Shafer theory is used to analyze the influencing factors of government supervision performance. Then, the index system and the evaluation model...
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