Titlebook: Uncertain Data Envelopment Analysis; Meilin Wen Book 2015 Springer-Verlag Berlin Heidelberg 2015 Congestion analysis.Credibility variable.

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Uncertainty and Operations Researchhttp://image.papertrans.cn/u/image/941061.jpg

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https://doi.org/10.1007/978-3-662-43802-2Congestion analysis; Credibility variable; Data envelopment analysis; Fuzzy DEA; Fuzzy simulation; Geneti

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Uncertain Theories,e been proposed to handle uncertainty. This chapter mainly introduces four theories crucial for the following chapters, namely, probability theory, credibility theory, uncertainty theory, and uncertain random theory.

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Stochastic DEA,tivity to data. Therefore, a key to the success of the DEA approach is the accurate measure of all factors, including that of inputs and outputs. However, in many situations, such as in a manufacturing system, in a production process, or in a service system, inputs and outputs are so volatile and co

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Fuzzy DEA,” or “bad” rather than a specific case. That is, the data are fuzzy. We can find several fuzzy approaches to the efficiency assessment in the DEA literature. Cooper et al. [., .], one of the DEA initiators, introduced how to deal with imprecise data such as bounded data, ordinal data, and ratio boun

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