摘要
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(网络分析)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u1>地下水渗水量u4>巷道的跨度u2>稳定岩层厚度u5>顶板岩石的抗压强度u3。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。
In order to understand the importance sort and the relationship among the factors affecting the roadway roof fall, ac- cording to the characteristics of the expert judgment language and semantic network connecting between factors, this paper put forward the ANP-embedded cloud model to solve the above problem, called 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 proces- sing the roof fall accident with uncertainty data. It gave the construction and analysis steps of the ANP-ECM. Combined with the data from experts investigated, the importance of the impact factors of roadway roof fall was sort. The importance sort of factors for instance analysis： distance from the stable rock stratum to the roadway roof ua 〉 seepage quantity of groundwater u4 〉 the span of the tunnel u2 〉 stability rock thickness u5 〉 compressive strength of roof rock u3. Finally, it applied the ANP- ECM algorithm to the examples the relevant algorithm applied, and analyzed the correctness of the ANP-ECM algorithm by the results of these examples.
出处
《计算机应用研究》
CSCD
北大核心
2016年第11期3307-3310,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(61350003
51274110
51474121)
关键词
煤矿安全
巷道冒顶
影响因素
云化ANP模型
因素重要性
coal mine safety
roadway roof fall
influencing factors
ANP cloud model
importance of factors
