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<p>The scientific evaluation of canal route schemes is a crucial aspect of canal engineering design, directly affecting construction costs and overall benefits. Addressing this multi-attribute decision-making problem, this study establishes a comprehensive evaluation system: Initially, a multi-level evaluation system comprising four criteria layers and 20 specific indicators is constructed from the dimensions of technical feasibility, economic benefits, social impact, and environmental protection. In terms of indicator processing, qualitative indicators are quantified using triangular fuzzy numbers combined with the Delphi expert survey method, while quantitative indicators are normalized. For weight determination, an innovative integration of Fuzzy Stochastic Analytic Hierarchy Process (FSAHP) and an improved entropy weight method is employed to achieve complementary advantages of subjective and objective weighting. Subsequently, the strengths of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and GRA (Grey Relational Analysis) are combined to construct the TOPSIS-GRA multi-attribute decision-making model. Validation through Monte Carlo simulation indicates that the model maintains stable evaluation results under fluctuations in criteria layer weights and changes in subjective weight sensitivity, demonstrating excellent interference resistance and robustness. This research outcome provides a scientific and reliable technical support for decision-making on canal route schemes, significantly enhancing the accuracy and objectivity of scheme selection.</p>

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Research on the evaluation of canal route schemes based on multiattribute decisionmaking methods

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月1日

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  • Xinran Fan,
  • Shiwen Tai,
  • Liang Zhong,
  • Weikun Liang,
  • Jinchen Liu,
  • Shuai Wang,
  • Pei Zheng,
  • Zhilong Wu

摘要

The scientific evaluation of canal route schemes is a crucial aspect of canal engineering design, directly affecting construction costs and overall benefits. Addressing this multi-attribute decision-making problem, this study establishes a comprehensive evaluation system: Initially, a multi-level evaluation system comprising four criteria layers and 20 specific indicators is constructed from the dimensions of technical feasibility, economic benefits, social impact, and environmental protection. In terms of indicator processing, qualitative indicators are quantified using triangular fuzzy numbers combined with the Delphi expert survey method, while quantitative indicators are normalized. For weight determination, an innovative integration of Fuzzy Stochastic Analytic Hierarchy Process (FSAHP) and an improved entropy weight method is employed to achieve complementary advantages of subjective and objective weighting. Subsequently, the strengths of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and GRA (Grey Relational Analysis) are combined to construct the TOPSIS-GRA multi-attribute decision-making model. Validation through Monte Carlo simulation indicates that the model maintains stable evaluation results under fluctuations in criteria layer weights and changes in subjective weight sensitivity, demonstrating excellent interference resistance and robustness. This research outcome provides a scientific and reliable technical support for decision-making on canal route schemes, significantly enhancing the accuracy and objectivity of scheme selection.