Discriminant Analysis Methodology with Fuzzy Numbers based on DEA Models

机译：基于DEA模型的模糊数判别分析方法。

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Data Envelopment Analysis is a methodology to discriminate relative efficiencies for Decision Making Units in multiple inputs and outputs system by simulating production frontier. In the influence of economic behavior and subjective factors, the inputs and outputs data sometimes are imprecise and maybe fuzzy numbers. However, the traditional DEA models can't deal with imprecise data, so a Fuzzy DEA model was proposed for discriminating DMUs with fuzzy numbers as its inputs and outputs. The Fuzzy DEA model extended the application of DEA models. The corresponding numerical analysis is also proposed in this paper to test the model's capability in dealing with fuzzy numbers.

机译：数据包络分析是一种通过模拟生产前沿来区分多个输入和输出系统中决策单元的相对效率的方法。在经济行为和主观因素的影响下，输入和输出数据有时不精确，甚至可能是模糊数字。然而，传统的DEA模型无法处理不精确的数据，因此提出了一种模糊DEA模型来区分以模糊数作为输入和输出的DMU。 Fuzzy DEA模型扩展了DEA模型的应用。本文还提出了相应的数值分析，以测试该模型处理模糊数的能力。

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《ICCCI 2010;International conference on computer and computational intelligence》|2010年|p.225-228|共4页
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Jinrong Wang;
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中图分类其他计算机;其他计算机;
关键词
Discriminant analysis; data envelopment analysis; fuzzy number; comprehensive appraisal;

机译：判别分析;数据包络分析;模糊数综合评估;

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1. DEA-Discriminant Analysis: Methodological comparison among eight discriminant analysis approaches [J] . Sueyoshi T European Journal of Operational Research . 2006,第1期

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2. Methodological comparison between DEA (data envelopment analysis) and DEA-DA (discriminant analysis) from the perspective of bankruptcy assessment [J] . Sueyoshi T, Goto M European Journal of Operational Research . 2009,第2期

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3. A fuzzy approach to discriminant analysis based on polynomial regression models [J] . Francesco Campobasso, Annarita Fanizzi International Journal of Business Intelligence and Data Mining . 2014,第1期

机译：基于多项式回归模型的模糊判别分析方法
4. Discriminant Analysis Methodology with Fuzzy Numbers based on DEA Models [C] . Jinrong Wang International conference on computer and computational intelligence . 2010

机译：基于DEA模型的模糊数字判别分析方法
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Discriminant Analysis Methodology with Fuzzy Numbers based on DEA Models

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