基于云化ANP的巷道冒顶影响因素重要性研究

为了解巷道冒顶事故影响因素之间的关系及导致事故发生的重要性排序，根据专家评判语言的特点及各因素之间存在的语义网络联系性，提出了将云模型嵌入ANP来解决上述问题，即云化ANP模型。该模型既有云模型处理不确定信息的能力，也具有ANP处理网状因素系统的能力，尤其适合处理冒顶这类具有不确定性数据的分析问题。给出了云化ANP的构建过程和分析步骤。结合专家调查所得数据分析了影响冒顶因素的重要性排序，所举实例分析的因素重要性排序为:稳定岩层距巷道顶板表面的距离 >地下水渗水量 >巷道的跨度 >稳定岩层厚度 >顶板岩石的抗压强度 。最后将云化ANP算法应用于类似算法所处理的例子，通过这些例子的结果分析了云化ANP算法的正确性。

Study on the importance of factor of Roadway Roof Fall Based on ANP-ECM

In order to understand the importance sort and the relationship among the factors affecting the roadway roof fall, according to the characteristics of the expert judgment language and semantic network connecting between factors, the ANP-embedded cloud model is put forward to solve the above problem, it is ANP-ECM model. The model has the ability that cloud model deals with uncertain information, also ANP treats network system of factors , and is especially suitable for processing the roof fall accident with uncertainty data. The construction and analysis steps of the ANP-ECM are given. Combined with the data from experts investigated, the importance of the impact factors of roadway roof fall is sort. The importance sort of factors for instance analysis: Distance from the Stable rock stratum to the roadway roof >Seepage quantity of groundwater >The span of the tunnel >Stability rock thickness >Compressive strength of roof rock . Finally, the ANP-ECM algorithm is applied to the examples the relevant algorithm applied, and the correctness of the ANP-ECM algorithm is analyzed by the results of these examples.