摘要
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。
This paper is concerned about the evaluation model for mined-out cavity risk based on the fuzzy recognition model with minimized sum of the broad sense distance of the weights, in hoping to avoid the fuzzy composition operator selection and to overcome the shortcomings of homogenized result in the traditional fuzzy compre- hensive evaluation. This paper has introduced the cavity evaluation index system based on the accident-causing theory, including cavity safety management, cavity itself as well as cavity environment. Finally, the weight of each index is obtained by applying the improved AHP method, where an induced matrix to adjust the consistency of the original matrix is put forward and the program composition with MATLAB is used to calculate the risk index weights. On top of that, combining the theory of fuzzy decision, the evaluation model for the cavity risk based on the fuzzy recognition model is established through the involvement of information sampling, establishment of the relative membership matrix of cavity measured values as well as the calculation of each grade of index and dangerous state Eigen value. Mean- while, the conventional method and the designed method are applied respectively to the southwest cavities of some metal mines in order to verify the feasibility and effectiveness of the designed method. The results indicate that the designed model has made the cavity risk assessment more comprehensive, more reasonable, and more realistic. Thus, it can provide strong supports for project decision-making process.
出处
《安全与环境学报》
CAS
CSCD
北大核心
2010年第3期195-199,共5页
Journal of Safety and Environment
基金
"十一五"国家科技支撑计划专题(2007BAK22B04-12
2006BAB02B04-1-3-2
2006BAB02B05-1-2-1)
中南大学研究生学位论文创新基金项目(1960-71131100008)
