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Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number

Author

Listed:
  • Xunqian Xu

    (School of Transportation and Engineering, Nantong University, Nantong 226019, China)

  • Siwen Wang

    (School of Transportation and Engineering, Nantong University, Nantong 226019, China)

  • Fengyi Kang

    (Nantong Highway Development Center, Nantong 226007, China)

  • Shue Li

    (Nantong Highway Development Center, Nantong 226007, China)

  • Qi Li

    (School of Transportation and Engineering, Nantong University, Nantong 226019, China)

  • Tao Wu

    (School of Transportation and Engineering, Nantong University, Nantong 226019, China)

Abstract

By choosing the right pavement maintenance plan, we can reduce resource utilization, reduce environmental pollution, and extend road life, which is important for improving social sustainability. At present, the selection of road maintenance programs mostly adopts multiple attribute decision-making (MADA), in particular, the analytic hierarchy process (AHP) is often used. However, this method needs to use expert scoring data, which leads to strong subjectivity and poor reliability. Therefore, it reduces the science of road maintenance scheme selection. In order to reduce the subjectivity of the score and obtain a more suitable road maintenance scheme, this paper applies a multi-criteria decision-making method that characterizes attribute information by triangular fuzzy numbers (TFN) in the discrete decision space. Firstly, we invite experts to score the importance of the selection of pavement preventive maintenance technical solutions with respect to the indicators affecting the selection of solutions. Secondly, the two indicators of similarity and reliability are used to quantitatively evaluate the indicators and programs, respectively. Finally, we compare the weighted programs according to the overall possibility degree of each program. In actual cases, the overall possibility degree of each scheme obtained by this method is 1.0002–0.0477, and the optimal solution is fog sealing technology. The decision-making model applied in this paper can be considered in multiple dimensions, which can scientifically reduce the subjectivity of expert scoring. The best maintenance plan can also be quickly obtained through the simple calculation method in this paper.

Suggested Citation

  • Xunqian Xu & Siwen Wang & Fengyi Kang & Shue Li & Qi Li & Tao Wu, 2024. "Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number," Sustainability, MDPI, vol. 16(7), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2787-:d:1365046
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    References listed on IDEAS

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    1. Saeid Jafarzadeh Ghoushchi & Elnaz Osgooei & Gholamreza Haseli & Hana Tomaskova, 2021. "A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers," Mathematics, MDPI, vol. 9(22), pages 1-13, November.
    2. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    3. Asnake Adraro Angelo & Kotaro Sasai & Kiyoyuki Kaito, 2023. "Assessing Critical Road Sections: A Decision Matrix Approach Considering Safety and Pavement Condition," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
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