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Can I read Interval enhanced Russell measure with undesirable outputs based on data envelopment analysis: An efficiency measurement of industry in China on EtoBox?

Interval enhanced Russell measure with undesirable outputs based on data envelopment analysis: An efficiency measurement of industry in China by Wang, Xu; Wang, Yingming is a Computer Science article available to read on EtoBox.

What is Interval enhanced Russell measure with undesirable outputs based on data envelopment analysis: An efficiency measurement of industry in China about?

China has attracted the attention of the world owing its significant economic achievements, which are supported significantly by its booming industry. However, the issues of energy and pollutants have severely challenged the sustainability of the industry. The efficiency measurement is the premise intended to realize sustainability within the Chinese industry. Because the industry is a complex production system, there exists uncertainties and fuzziness regarding its inputs and outputs. This study proposes the application of an interval to describe these fuzzy data and employ the Enhanced Russell Measure to assess the performance of the Chinese industry, accounting for undesirable output such as pollution. In addition, for the ranking between interval efficiencies, a novel ranking approach based on the holistic acceptability of a possibility degree is proposed. The proposed method provides advice and guidance for decision makers to make appropriate and effective policies to balance industrial development and environmental protection in spite of uncertain and fuzzy data.

Who reads Interval enhanced Russell measure with undesirable outputs based on data envelopment analysis: An efficiency measurement of industry in China?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Wang, Xu; Wang, Yingming
Publisher
IOS Press (ISSN 1064-1246)
Published
2021
Language
EN
Field
Computer Science (Physical Sciences)

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