基于模糊粗糙集的公路地质灾害影响因子的权重分配

地质灾害影响因子权重分配是地质灾害区划的关键,以贵州省三凯线地质灾害调查数据为实例,于公路沿线随机选取非灾害点,选择高程、坡度、河流切割密度、地层岩性4个地质灾害主要属性,形成属性决策表,根据相关知识采用不同的三角模糊隶属度函数,确定模糊粗糙集地质灾害要素权重分配模型,计算各属性与地质灾害之间的依赖度,建立模糊粗糙集地质灾害属性权重确定方法,该权重应用于因子叠加方法进行公路地质灾害区划,研究表明:用模糊粗糙集确定的地质灾害影响因子权重,相比传统专家打分所确定的权重具有较高的精度.

The weights allocation of highway geological disasters impact factor based on fuzzy -rough set

The key of geological hazards regionalization is weights allocation of geological disasters impact factor.The data of geological disaster survey of Sankai-line in Guizhou province was taken as an example,non-disaster point was selected that contains of four main geological disasters attributes,which are elevation,slope,rivers cutting density and lithology along the highway in randomly,then the attributes decision table was formed,and the model of geological disasters weight allocation was established base on fuzzy-rough set,and the dependence was calculated between properties and geological hazards,and the method of geological disasters factor weights allocation was set up that base on fuzzy-rough set,according to the knowledge to take different triangular fuzzy membership function.The weights were used in the factor overlapping method which executed highway geological hazards regionalization,according to studies: the geological disasters impact factor weights determine by fuzzy-rough sets with high accuracy compared to the traditional expert scoring method.