路基工程Issue(2)：35-41,7.DOI:10.13379/j.issn.1003-8825.202406012
基于数据挖掘和变权S-AHP的公路边坡安全状态评估
Assessment on Safety State of Highway Slope Based on Data Mining and Variable Weight S-AHP
周晶 1贾非 1赵家彬1
作者信息
- 1. 中咨公路养护检测技术有限公司,北京 100097||中国公路工程咨询集团有限公司,北京 100097||公路建设与养护技术、材料及装备交通运输行业研发中心,北京 100097||中交集团公路路面养护技术研发中心,北京 100097
- 折叠
摘要
Abstract
By means of data mining,disaster-causing factors of the text related to slope engineering accidents is extracted and trained,and the vocabulary of slope safety risk is established,the accident chain is constructed and each index is quantitatively scored.S-AHP algorithm is introduced to optimize the original judgment matrix,and the consistency test is automatically met on the premise of retaining the original importance comparison;the penalty variable weight equilibrium function is introduced to dynamically adjust the constant weight of the index;the risk assessment system of variable weight S-AHP can enlarge the corresponding weight of bad indicators according to the preset proportion,and it has good applicability in the construction safety assessment of high and steep cutting slopes of Duyun—Shangrila Expressway.关键词
边坡工程/致灾因素/数据挖掘/S-AHP/变权层次分析/指标量化/安全评估Key words
slope engineering/disaster-causing factors/data mining/S-AHP/variable weight hierarchy analysis/index quantification/safety assessment分类
交通工程引用本文复制引用
周晶,贾非,赵家彬..基于数据挖掘和变权S-AHP的公路边坡安全状态评估[J].路基工程,2025,(2):35-41,7.
