基于粗集-支持向量机的煤炭生产成本的研究

 煤炭能源是我国的基础能源，煤炭工业支撑着国民经济的快速发展。煤炭产供需基本平衡中偏紧。 煤炭价格高位趋稳，但生产成本大幅增加，成本增幅大于价格上涨，煤炭企业经济效益或将走低，有一个合理的生产成本预测模型对市场的需求稳定至关重要。为此针对煤炭生产成本相关因素的复杂性，无法有效的进行预测的问题，应用粗集理论，对影响因素进行属性约简后应用支持向量机理论建立了煤炭生产成本预测模型，最后有效的对煤炭生产成本进行了预测，且此法是可行的，从而为煤炭的成本预测提供了一个新方法。

Study on Coal Production Cost Base on Rough-Support Vector Computer

The coal is our country's primary energy, coal industry has the important status in the national economy development. Nowadays, the balance between supply and demand of coal production is not very well, the coal prices stay at a high level, which leads to the cost of production increase rapidly, and economic benefit of coal enterprise may be falling, a reasonable production costs prediction model is needed for maintaining a steady market. Considering the complexity of the production cost factors, this article applys the Rough Set Theory and the Support Victor Machine Theory to establish a coal production prediction model. Through a practical example, the new model is proved to be an effective and efficient way to predict the coal production costs.