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Early stage multi-criteria decision support system for recommending slope repair methods
Civil Engineering and Environmental Systems ( IF 1.8 ) Pub Date : 2021-05-05 , DOI: 10.1080/10286608.2021.1923699
Isha Adhikari 1 , Anil Baral 1 , Ehsan Zahed 2 , Bahram Abediniangerabi 1 , Mohsen Shahandashti 1
Affiliation  

ABSTRACT

The selection of appropriate slope repair methods for the restoration of failed slopes is challenging at the early-stage of the decision-making process due to the limited available geotechnical information. At this early-stage, the limited experience of a few maintenance personnel often dominates the selection of slope repair methods to restore failed slopes. Hence, some potential repair methods that may have better performance for the given slope conditions, could be overlooked. The objective of this study is to develop an early-stage multi-criteria decision-support system to rank and recommend slope repair methods for the restoration of failed slopes based on collective experience and knowledge of subject matter experts. This system evaluates potential slope repair methods based on several selection criteria, such as the impact on traffic, the service life of repair methods, the rapidity of repair to recommend the most appropriate repair methods for the slope restoration. A survey of subject matter experts was conducted to identify the possible slope repair methods. The importance of selection criteria was calculated using the entropy method. The resulting importance of criteria was then used by the technique for order preference by the similarity of ideal solution (TOPSIS) to rank and recommend potential slope repair methods.



中文翻译:

早期多准则决策支持系统,推荐坡度修复方法

摘要

由于有限的岩土技术信息,在决策过程的早期阶段,选择合适的边坡修复方法来修复失败的边坡是一项挑战。在这个早期阶段,少数维修人员的经验有限,常常主导着斜坡修复方法的选择,以恢复失败的斜坡。因此,在给定的斜坡条件下可能具有更好性能的某些潜在修复方法可能会被忽略。这项研究的目的是开发一个早期的多准则决策支持系统,以基于集体经验和主题专家的知识对斜坡的修复方法进行排序和推荐,以用于修复失败的斜坡。该系统根据几种选择标准评估潜在的边坡修复方法,例如对交通的影响,修复方法的使用寿命,修复的速度,建议最合适的修复方法用于边坡修复。进行了主题专家调查,以确定可能的边坡修复方法。选择标准的重要性使用熵方法计算。然后,该标准对结果的重要性被该技术用于通过理想解决方案(TOPSIS)的相似性进行优先顺序排序和推荐潜在的边坡修复方法。

更新日期:2021-05-25
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