摘要
鉴于边坡稳定性分析中存在影响因素权重确定困难的问题,在多层模糊优选理论与模型的基础上,提出了多层模糊模式识别评价模型。整个评价系统分为三层,第一层由各影响因素组成,为输入层;第二层由若干子系统组成,每个子系统包括若干影响因素;第三层为输出层,由一个子系统构成。通过比较子系统内各因素的重要性和各子系统的重要性可分别确定子系统内各因素的权重和各子系统的权重,采用这种方式定权比直接对所有影响因素进行比较定权相对容易、合理。第一层和第二层的输出采用二级模糊模式识别模型计算,第三层的输出采用多级模糊模式识别模型计算。实例分析表明,应用该模型进行边坡稳定性评价能取得较好的效果。
Considering the difficulty of weight determination of many influencing factors in the analysis of slope stability, a multi-layer fuzzy pattern recognition model is advanced to analyze slope stability on the basis of multi-layer fuzzy optimal theory and model. The whole appraisal system is composed of three layers. The first layer consists of all influencing factors that act as input layer. The second layer has some subsystems, and every subsystem consists of some factors. The third layer has only one subsystem that acts as output layer. The weights of influencing factors of every subsystem and the weights of subsystems can be determined respectively by comparing the importance of factors of every subsystem and that of factors of every subsystem. The weight determination in this way is relatively easier and more reasonable than that of directly comparing all factors. The outputs of the first and second layers are both calculated by duel-pole fuzzy pattern recognition models, and that of the third is by multi-pole fuzzy pattern recognition model. The engineering case analysis shows that the application of this model in evaluating slope stability can achieve good effect.
出处
《辽宁工程技术大学学报（自然科学版）》
EI
CAS
北大核心
2006年第6期855-857,共3页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(50574016)
关键词
边坡稳定性
相对隶属度
多层模糊模式识别
slope stability
relative membership degree
multi-layer fuzzy pattern recognition
