| 郭冬,徐文龙,周洋,张艳秋.基于Kendall's W系数的交叉效率共识一致性模型[J].安徽建筑大学学报,2025,33(6):53-61 |
| 基于Kendall's W系数的交叉效率共识一致性模型 |
| Cross-efficiency Consensus Consistency Model Based on Kendall's W Coefficient |
| |
| DOI： |
| 中文关键词: 数据包络分析 交叉效率 共识一致性 Kendall’s W系数 |
| 英文关键词: DEA cross-efficiency consensus consistency Kendall's W coefficient |
| 基金项目:国家自然科学基金项目（72071066）；教育部人文社会科学研究青年基金项目（20YJC630029）；安徽省自然科学基金项目（2008085MG228）；安徽省高校省级自然科学研究项目（2023AH010020）；安徽建筑大学科研基金项目（JZ201416） |
| 作者 | 单位 | | 郭冬 | School of Mathematics and Physics,Anhui Jianzhu University,Hefei 230601,China；Operations Research and Data Science Laboratory,Anhui Jianzhu University,Hefei 230601,China | | 徐文龙 | School of Mathematics and Physics,Anhui Jianzhu University,Hefei 230601,China | | 周洋 | School of Mathematics and Physics,Anhui Jianzhu University,Hefei 230601,China | | 张艳秋 | College of Electronic Engineering,National University of Defense Technology,Hefei 230037,China |
|
| 摘要点击次数: 398 |
| 全文下载次数: 0 |
| 中文摘要: |
| 交叉效率评价方法将自我评价与同行评价相结合，弥补了传统 CCR模型无法完全排序的缺点，但在评价过程中没有考虑决策单元之间的共识。利用Kendall's W系数构建一个交叉效率共识一致性模型，使决策单元在聚合过程中达成最大共识。首先，用交叉效率模型得到交叉效率矩阵。然后，根据最小调整共识模型和 Kendall's W系数提出共识一致性模型，提高交叉效率聚合过程中决策单元之间的共识一致性程度。最后，通过实例说明和验证所提出共识机制的适用性。结果表明，共识调整后与传统聚合的排序具有显著差异，显示出更强的共识一致性。 |
| 英文摘要: |
| The cross-efficiency evaluation method, which integrates self-evaluation and peer evaluation, addresses the limitation of incomplete ranking in traditional CCR models. However, conventional cross-efficiency methods neglect the consensus among decision-making units (DMUs) during the evaluation process. This study constructs a cross-efficiency consensus consistency model by using Kendall's W coefficient to enable DMUs to reach the maximum consensus during the aggregation process. First, a cross-efficiency matrix is derived using the cross-efficiency model. Subsequently, a consensus consistency model is proposed by integrating the minimum adjustment consensus framework with Kendall's W coefficient, aiming to improve the degree of consensus consistency among DMUs in cross-efficiency aggregation. Finally, the applicability of the proposed consensus mechanism is illustrated and verified through an empirical example. The results reveal that the post-adjustment ranking significantly differs from the direct aggregation ranking, demonstrating a stronger degree of consensus consistency. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
