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作 者:Jie WU Jiasen SUN Malin SONG Liang LIANG
机构地区:[1]School of Management,University of Science & Technology of China
出 处:《Journal of Systems Science and Systems Engineering》2013年第2期191-201,共11页系统科学与系统工程学报(英文版)
基 金:supported by National Natural Science Funds of China for Innovative Research Groups(No.70821001);National Natural Science Funds of China(No.71222106,70901069 and 71171001);ScholarshipAward for Excellent Doctoral Student granted by Ministry of Education
摘 要:The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a set of decision making units (DMUs) with exact values of inputs and outputs, but it cannot handle imprecise data. Imprecise data, for example, can be expressed in the form of the interval data or mixtures of interval data and ordinal data. In this study, a cross-efficiency method is introduced into the DEA model to calculate the interval of cross-efficiency values, based on which a new TOPSIS method is proposed to rank the DMUs. Two examples are presented to illustrate and validate the proposed method.The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a set of decision making units (DMUs) with exact values of inputs and outputs, but it cannot handle imprecise data. Imprecise data, for example, can be expressed in the form of the interval data or mixtures of interval data and ordinal data. In this study, a cross-efficiency method is introduced into the DEA model to calculate the interval of cross-efficiency values, based on which a new TOPSIS method is proposed to rank the DMUs. Two examples are presented to illustrate and validate the proposed method.
关 键 词:Data envelopment analysis (DEA) cross-efficiency TOPSIS
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