Affiliations: [a] School of Business, Central South University, Changsha, Hunan, China
| [b] School of Economics and Management, Southeast University, Nanjing, China
Correspondence:
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Corresponding author. Yongchang Shen, School of Economics and Management, Southeast University, Nanjing 211189, P.R. China. Tel.: +8618225790219; E-mail: [email protected].
Abstract: Data envelopment analysis (DEA) is widely used to evaluate the performance of a group of homogeneous decision making units (DMUs). Considering the uncertainty, interval DEA has been introduced to fit into more situations. In this paper, an interval efficiency method based on slacks-based measure is proposed to solve the uncertain problems in DEA. Firstly, the maximum and minimum efficiency values of the evaluated DMU are calculated by the furthest and closest distance from the evaluated DMU to the projection points on the Pareto-efficient frontier, respectively. Then, the AHP method is used for the full ranking of DMUs. The paper uses the pairwise comparison relationship between each pair of DMUs to construct the interval multiplicative preference relations (IMPRs) matrix. If the matrix does not meet the consistency condition, a method to obtain consistency IMPRs is introduced. According to the consistency judgment matrix, the full ranking of DMUs can be obtained. Finally, we apply our method to the performance evaluation of 12 tourist hotels in Taipei in 2019.
Keywords: Performance measurement, data
envelopment analysis, interval efficiency, interval
multiplicative preference relations, full ranking
