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Evaluation Method of Highway Plant Slope Based on Rough Set Theory and Analytic Hierarchy Process: A Case Study in Taihang Mountain, Hebei, China

Luliang Liu, Yuanming Dou and Jiangang Qiao
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Luliang Liu: School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China
Yuanming Dou: School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China
Jiangang Qiao: School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China

Mathematics, 2022, vol. 10, issue 8, 1-17

Abstract: The material foundation of soil and water conservation is built on the integrity of the highway plant slope. The proportional relevance of the components that affect slope quality was evaluated based on an environmental assessment and the actual characteristics of the highway slope. A system of four major indexes and twelve secondary indexes comprising plant traits, geometric factors, hydrological conditions, and vegetation conditions was developed to assess the stability of roadway plant slopes. The rough set theory approach and the analytic hierarchy process were used to solve the weights of the slope evaluation indexes. Based on a rough set and an analytic hierarchy process, an evaluation model is proposed. The model eliminates the inconsistency and uncertainty in the evaluated factors that are used to calculate the slope. The study was conducted in China. The highway plant slope of the Taihang Mountain highway in the Hebei province was evaluated using the assessment model after dividing the highway plant slope stability into four grades. According to the evaluation results, the model can be used as a reference highway plant slope stability study and provide technical help to prevent and lower slope safety accidents. The evaluation model can predict the slope quality of highway plants, demonstrating the efficacy and reliability of the evaluation methodology and approach.

Keywords: rough set; analytic hierarchy process; highway plant slope; evaluation model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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