模糊综合评价模型在煤样识别中的应用

Application of Fuzzy Comprehensive Evaluation Model in Recognition of Coal Samples

正确辨别煤炭的种类(无烟煤,烟煤和褐煤)对研究和预测煤的性质、合理开发、科学有效地利用煤炭资源以及安全管理和贸易有着重要意义。建立了煤炭的模糊评价分类模型,在建立模型过程中,综合考虑了多种影响煤炭分类的因素,根据原始标准样本构建标准分类值,运用Matlab编程计算出检验结果和预测结果。实例表明,模糊综合评价分类模型在煤炭分类预测中具有很高的精确度和可靠性。

It is of great significance to correctly identify the type of coal （anthracite, bituminous and lignite） for the research and prediction of coal quality, rational development, scientific and effective utilization of coal resources, and safety management and trade of coal enterprise. The article establishes a fuzzy evaluation classification model of coal. In the modeling process, it considers a variety of factors that affect the classification of coal, builds standard classification criteria based on the original sample values, and calculates test results and the predicted results by Matlab programming. Examples show that the fuzzy comprehensive evaluation classification model has high accuracy and reliability in the prediction of coal classification.