Fuzzy Comprehensive Evaluation for Road Base Material Selection Based on Analytic Hierarchy Process

This paper conducted the EN-1 ionic liquid improved soil comparison and evaluation between the stabilization soil and the stabilized aggregate materials in order to analyze its economic cost and solve the issues of road base material selection with the multiple influence factors. Firstly analytic hi...

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Bibliographic Details
Published in:Key engineering materials 2015-10, Vol.667, p.353-358
Main Authors: Wu, Jin Hong, Qiu, Xin, Chen, Lin Wu, Huang, Xin Qing, Luo, Xiao Hua
Format: Article
Language:English
Subjects:
Analytic hierarchy process
Decision making
Energy consumption
Engineering
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Hierarchies
Highway construction
Influence
Load
Materials selection
Mathematical models
Roads
Roads & highways
Soil (material)
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Summary:This paper conducted the EN-1 ionic liquid improved soil comparison and evaluation between the stabilization soil and the stabilized aggregate materials in order to analyze its economic cost and solve the issues of road base material selection with the multiple influence factors. Firstly analytic hierarchy process (AHP) was used to establish the hierarchical structure of the decision index and the weight of each indicator in an index layer. Secondly the fuzzy relation matrix of the evaluation criteria were determined by expert evaluation method, and then a comprehensive fuzzy evaluation model can be established for the selection of road base materials. Finally, based on the comprehensive sequencing of different materials derived from fuzzy mathematical calculations, the optimal selection can be achieved. The proposed evaluation model comprehended the availability of material, construction requirements, load capacity, durability, energy consumption, environment protection and material cost etc. This research provided a theoretical basis as well as an effective and practical solution for the future development of highway construction in China.
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/www.scientific.net/KEM.667.353