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Using fuzzy super-efficiency slack-based measure data envelopment analysis to evaluate Taiwan's commercial bank efficiency

机译:基于模糊超效率松弛法的度量数据包络分析评估台湾商业银行效率

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摘要

Data envelopment analysis (DEA) mainly utilizes envelopment technology to replace production function in microeconomics. The input and output of decision making units (DMUs) are projected into the attributes to evaluate or measure their performance. However, if the inputs and outputs are linguistically termed or are fuzzy-numbered, conventional DEA can not easily measure the performance. Therefore, we propose the use of a fuzzy super-efficiency slack-based measure DEA to analyze the operational performance of 24 commercial banks facing problems on loan and investment parameters with vague characteristics. After our analysis, we find that the fuzzy slack-based measure of efficiency (Fuzzy SBM)/fuzzy super-efficiency slack-based measure of efficiency (Fuzzy Super SBM) can not only effectively characterize uncertainty, but also have a higher capability to evaluate bank efficiency than the conventional Fuzzy DEA approach.%Department of Information Management, National Taiwan University, Taipei 10617, Taiwan;Department of Information Management, National Taiwan University, Taipei 10617, Taiwan;Department of Economics, Soochow University, Taipei 10048, Taiwan;Department of Business Administration, National Taiwan University of Science and Technology, Taipei 10607, Taiwan;
机译:数据包络分析(DEA)主要利用包络技术代替微观经济学中的生产函数。决策单元(DMU)的输入和输出被投影到属性中,以评估或衡量其性能。但是,如果输入和输出用语言命名或模糊编号,则常规DEA不能轻松地测量性能。因此,我们建议使用基于模糊超效率松弛法的测度DEA来分析24个面临模糊特征的贷款和投资参数问题的商业银行的经营绩效。经过分析,我们发现基于模糊松弛的效率度量(Fuzzy SBM)/基于模糊松弛的效率度量(Fuzzy Super SBM)不仅可以有效地表征不确定性,而且具有更高的评估能力国立台湾大学信息管理系,台湾台北10617;国立台湾大学信息管理系,台湾台北10617;东吴大学经济系,台湾台北10048;国立台湾科技大学工商管理系,台湾台北10607;

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