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在传统模糊综合评价方法的基础上,为了避免计算时模糊合成算子的选择,克服其结果趋向均化的缺点,提出基于权广义距离之和最小的模糊模式识别的采空区模糊综合评价模型。该评价模型建立在评价指标体系的基础上,将层次分析法与模糊数学理论相结合,运用改进的层次分析法确定各指标的权重,采用系统模糊决策理论对采空区进行综合评价。分别应用传统方法和模糊识别方法对某金属矿西南采区的采空区危险性进行评价。结果表明,该模型对原始数据的变动较为敏感,并且它集成了各个影响因素的信息,提高了采空区危险性评价的合理性和可靠性,更符合工程实际。
On the basis of the traditional fuzzy comprehensive evaluation method, in order to avoid the selection of fuzzy synthesis operator in calculation and overcome the shortcoming that the result tends to be homogenized, a fuzzy comprehensive evaluation model of goaf based on fuzzy pattern recognition with the minimum sum of generalized distance is proposed . Based on the evaluation index system, this evaluation model combines AHP with fuzzy mathematics theory, and uses the improved AHP to determine the weight of each index, and uses the system fuzzy decision theory to evaluate the mined-out area comprehensively. The risk of goaf in the southwestern mining area of a metal mine is evaluated by the traditional method and the fuzzy recognition method respectively. The results show that the model is sensitive to the change of the original data, and it integrates the information of all factors to improve the rationality and reliability of the hazard assessment of goaf, more in line with the actual project.