• ISSN 0258-2724
  • CN 51-1277/U
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Volume 54 Issue 2
Jun.  2019
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Journal of Southwest Jiaotong University  > 2019  >  54(2): 219-226.
ZHU Qing, CHEN Kaizheng, XIE Xiao, ZENG Haowei, ZHANG Yeting, REN Xiaochun. Site Selection Method of Booster Substations by Integrating Fuzzy Analytic Hierarchy Process with 3D Geographic Information System[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 980-988. doi: 10.3969/j.issn.0258-2724.20170887
Citation: YANG Yongqing, YANG Deng, YU Qu. Fuzzy Comprehensive Evaluation of Bridge Reinforcement Scheme Based on Uncertain AHP[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 219-226. doi: 10.3969/j.issn.0258-2724.20170227
shu

Fuzzy Comprehensive Evaluation of Bridge Reinforcement Scheme Based on Uncertain AHP

doi: 10.3969/j.issn.0258-2724.20170227
  • Received Date: 26 Mar 2017
  • Rev Recd Date: 16 Oct 2017
    • Available Online: 22 Oct 2017
  • Publish Date: 01 Apr 2019
    Abstract
  • To enable the fuzzy evaluation of the bridge reinforcement scheme to be more reliable and solve the problem that the fuzzy process of the evaluation index was too simplistic and the analytic hierarchy process（AHP）had a strong subjectivity when determining the weight of the evaluation index in the existing evaluation methods, a new evaluation index system, evaluation grade, and evaluation index classification standard were established. According to the fuzzy mathematics theory, the membership function of the index and the two-level fuzzy comprehensive evaluation model of the bridge reinforcement scheme were constructed. Based on the group decision making principle, an uncertain AHP method based on expert credibility was established to calculate the weight interval of the evaluation index. The relative weight analysis method was used to convert the weight range of the index into digital weight, and then the evaluation index was weighted. Further, combined with the fuzzy comprehensive evaluation method, a fuzzy comprehensive evaluation model based on the uncertain AHP method was established and applied to the calculation and analysis of engineering examples. The results show that the method is suitable for the fuzzy evaluation of a bridge reinforcement scheme, which is consistent with engineering practice and has high feasibility and rationality.

     

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