Affiliations: [a] Decision Sciences Institute, Fuzhou University, Fuzhou, China
| [b] Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China
Correspondence:
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Corresponding author. Ying-Ming Wang, School of Economics & Management, Fuzhou University, 2 Wulongjiang North Avenue, Fuzhou, PR China. Tel.: +8659122866677; E-mail: [email protected].
Abstract: 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.
Keywords: Data envelopment analysis, Enhanced Russell Measure, Interval data, Ranking, Industrial efficiency
