基于改进PROMETHEE方法的区域农业机械化可持续发展评价

Evaluation of Regional Agricultural Mechanization Sustainable Development Based on Improved PROMETHEE Method

摘要: 针对区域农业机械化可持续发展评价中存在的指标关联性复杂和决策偏好模糊问题，本研究提出一种基于改进PROMETHEE-II方法的评价模型。通过引入sigmoid优先函数处理决策模糊性，结合Shapley值法融合指标关联性以进行权重调整，构建了动态评价体系。实证选取五个典型区域，结果表明改进方法在排序稳定性和区域区分度上显著优于传统方法，为差异化政策制定提供可靠依据。主要创新体现在三个方面：一是采用sigmoid函数处理定性指标量化中的不确定性问题；二是通过Shapley值计算量化指标关联性；三是建立基于加权方差最大化的参数优化机制。研究验证了改进PROMETHEE方法在区域农业机械化可持续发展评价中的有效性和优越性。

Abstract: Evaluation of regional agricultural mechanization sustainable development, this study proposes an evaluation model based on the improved PROMETHEE-II method. By introducing the sigmoid preference function to deal with decision ambiguity and combining the Shapley value method to integrate indicator correlation for weight adjustment, a dynamic evaluation system is constructed. The empirical study selects five typical regions, and the results show that the improved method is significantly better than the traditional method in ranking stability and regional differentiation, providing a reliable basis for differentiated policy formulation. The main innovations are reflected in three aspects: first, the adoption of the sigmoid function to deal with the uncertainty in the quantification of qualitative indicators; second, the quantification of indicator correlation through Shapley value calculation; third, the establishment of a parameter optimization mechanism based on weighted variance maximization. The study verifies the effectiveness and superiority of the improved PROMETHEE method in the evaluation of regional agricultural mechanization sustainable development.