标题: | 以共同权重衡量指标重要性 Common Weights Analysis in Evaluating the Importance of Indices |
作者: | 廖文楷 Liao, Wen-Kai 刘复华 Liu, Fuh-Hwa 工业工程与管理系所 |
关键字: | 资料包络分析法;共同权重分析法;指标重要性;Data Envelopment Analysis;Common Weight Analysis;Importance of Variable |
公开日期: | 2012 |
摘要: | 一类常见的绩效评量的问题为多个作业单位将多项投入转换成多项产出,本研究考虑管理者(简称为CDM, central decision-maker)欲以其次级单位(简称为UOA, unit of assessment) 在各指标的表现为依据,选择一组合适的指标来做自我绩效的评比。如何选择一组合适的指标作为评量的基准,一直是一个很重要的问题。 本研究利用 Liu & Peng [10]所提出的共同权重分析法,并应用线性规划中simplex method的概念提供一个指标重要性的排序方法。此外,本研究也将 Li & Liang [9]所提出的Shapley value的概念应用至共同权重分析法上来做指标重要性的排序。 Liu & Peng [10] considered a situation that a central decision-maker (CDM) assesses his/her subordinates with multiple inputs and outputs indices. The paper introduced a linear programming model to determine a set of common weights for the indices. This research is concerning one of the critical issues: what are the proper criteria to select the indices? We developed a procedure to rank the importance of the indices that is based on the characteristics of simplex method for linear programming models. We proof three theorems as the supporting. In addition, we also employed the method of Shapley value to rank the importance of indices. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT070053306 http://hdl.handle.net/11536/72195 |
显示于类别: | Thesis |