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本研究构建了基于概率语言型Z-number的EDAS多属性决策方法，从EDAS方法构建、算例应用及对比分析等三方面展开研究。EDAS方法计算备选方案与平均方案的正、负间距，由熵权法确定属性权重，并基于加权的正、负间距对方案进行排序。接着将Z-EDAS方法应用于新能源汽车云服务选择问题中得到最优方案，并与已有的TOPSIS方法进行对比，发现排序结果完全一致，验证了所构建方法的可行性与有效性。该研究结果为决策者解决复杂多变的现实决策问题提供了重要的科学工具，有助于提升决策的准确性和可靠性。
Abstract：This paper proposes an EDAS multi-attribute decision-making method based on probabilistic linguistic Z-number, and the research is conducted from three aspects: methodological construction, numerical example verification, and comparative analysis. The EDAS method calculates the positive and negative distances from each alternative to the average solution, determines attribute weights using the entropy weight method, and further ranks the alternatives according to the weighted positive and negative distances. Subsequently, the Z-EDAS method is applied to the cloud service selection problem for new energy vehicles, and the optimal alternative is derived. Finally, a comparative analysis is conducted between the proposed method and the existing TOPSIS method, and the results show that the alternative rankings obtained by the two methods are completely consistent,which verifies the feasibility and effectiveness of the constructed Z-EDAS method. In conclusion, this research provides an important scientific tool for decision-makers to address complex and variable real-world decision-making problems, which helps improve the accuracy and reliability of decision-making.
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基本信息:
中图分类号:O225
引用信息:
[1]田凤娟,张健,杨彦坡.基于概率语言型Z-number的EDAS多属性决策方法研究[J].井冈山大学学报(自然科学版),2026,47(03):9-16.
基金信息:
贵州省科技计划项目（黔科合基础MS[2025]101）; 贵州省科技厅基础研究计划青年引导项目（黔科合基础QN[2025]252）; 六盘水市2025年度科技发展项目（52020-0-1-09）
2026-05-10
2026-05-10