Fuzzy Game Approach Network Data Envelopment Analysis Models for the Waste Management Performance Evaluation

Measuring the performance of national wastes is essential for ensuing the environmental protection and moving toward the circular economy objective. To cope with the uncertainty involving in many circular indicators, this study first proposed a fuzzy game approach network data envelopment analysis m...

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Bibliographic Details
Published in:International journal of fuzzy systems 2023-11, Vol.25 (8), p.3193-3203
Main Authors: Liu, F.-B., Hu, C.-F.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Case studies
Circular economy
Computational Intelligence
Data analysis
Data envelopment analysis
Efficiency
Engineering
Environmental protection
Feedback
Management Science
Medical wastes
Operations Research
Performance evaluation
Recycling
Variables
Waste management
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Summary:Measuring the performance of national wastes is essential for ensuing the environmental protection and moving toward the circular economy objective. To cope with the uncertainty involving in many circular indicators, this study first proposed a fuzzy game approach network data envelopment analysis model for the waste management evaluation. The proposed model considers maximizing the potential joint efficiencies of the production and recycling processes simultaneously from the centralized control and circular economy perspective. A real-case study on assessing the waste management performance of European Union countries is provided. The factor efficiency analysis and associated ranks of the process efficiencies provide a guidance for identifying the factor dominance in the production and recycling processes. A comparison of the proposed method with other approaches is also included. Our results provide the European Union policy makers a valuable information to move waste management up the European Union waste hierarchy by allowing reusing, recycling, and recovering energy from the waste.
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-023-01565-3