基于可变模糊识别理论的煤矿掘进工作面环境评价的研究

为提高煤矿掘进工作面环境评价的可靠性，将可变模糊识别理论运用到工作面环境评价中。选取煤矿掘进工作面常用的监测指标CH₄体积分数、CO体积分数、粉尘质量浓度、温度、风速作为环境评价指标，采用二元比较模糊量化方法确定各指标权重。利用可变模糊识别模型对新景煤矿4个掘进工作面样本进行综合评价，评价结果与实际情况相符。结果表明：采用可变模糊识别方法可以科学、合理确定样本指标对各级指标标准区间的相对隶属度、相对隶属函数，能够通过变换模型多重验证样本的评价等级。

Study on Environmental Evaluation of Coal Mine Driving Face based on the Theory of Variable Fuzzy Recognition

In order to improve the reliability of environmental evaluation of coal mine driving face, the theory of variable fuzzy recognition was applied to environmental evaluation in working face. The common monitoring indexes of coal driving face were selected as the environmental evaluation indexes, including CH₄ volume fraction, CO volume fraction, dust mass concentration, temperature and wind speed, the weight of each index was determined by binary comparative fuzzy quantization. The variable fuzzy identification model was used to comprehensively evaluate 4 driving face samples in Xinjing Coal Mine, the evaluation result was consistent with the actual situation. The results show that the variable fuzzy recognition method can scientifically and reasonably determine the relative membership degree and relative membership function of the sample index to the standard interval of each index. The evaluation level of the sample can be multiple verified by transformation models.