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author:

Wang, Xu (Wang, Xu.) [1] | Wang, Ying-Ming (Wang, Ying-Ming.) [2]

Indexed by:

EI

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. © 2021 - IOS Press. All rights reserved.

Keyword:

Data envelopment analysis Decision making Pollution Sustainable development

Community:

  • [ 1 ] [Wang, Xu]Decision Sciences Institute, Fuzhou University, Fuzhou, China
  • [ 2 ] [Wang, Ying-Ming]Decision Sciences Institute, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wang, Ying-Ming]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China

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Source :

Journal of Intelligent and Fuzzy Systems

ISSN: 1064-1246

Year: 2021

Issue: 1

Volume: 40

Page: 103-115

1 . 7 3 7

JCR@2021

1 . 7 0 0

JCR@2023

ESI HC Threshold:106

JCR Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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