DEA BASED MULTIPLE CRITERIA EVALUATION AND THE DISCRIMINANT ANALYSIS OF RATIOS FOR RANKING UNITS

摘要：

Data envelopment analysis (DEA) method was originally designed to evaluate the efficiency of decision making units (DMUs), and it classifies the units merely into two dichotomie groups: efficient and inefficient groups. The purpose of the paper is to combine the multiple criteria evaluation with DEA and to fully rank the evaluation units from the most efficient to the least efficient ones as classified by DEA. In this paper we devel op a new diseriminant analysis DEA based model for multiple criteria evaluation. The method could solve mul tiple criteria evaluation problem, which includes three types of index (cost, benefit, and fixed), and provide a full ranking of the efficient and inefficient units on the same scale based on the ratio between the composite output and the composite input where their common weights are computed by a new non-linear optimization of the goodness of separation between the two groups. We also demonstrate this method for evaluation and full ranking through an example.

关键词： Data envelopment analysis Discriminant analysis Multiple criteria evaluation Ranking

作者: Ke Wang

作者单位: School of Economics and Management, Beihang University, Beijing 100083, China

会议类型: 国际会议

会议名称: The Ninth International Conference on Industrial Management(第九届工业管理国际会议 ICIM2008)

会议地点: 日本大阪

会议语种:英文

页码: 711-717

在线出版日期: 2008-09-16（万方平台首次上网日期，不代表论文的发表时间）