Township recycling performance assessment based on fuzzy TOPSIS model: An empirical investigation using the artificial intelligence-based VIKOR approach
Issue title: Ethical Computational Intelligence for Cyber Market
Guest editors: Oscar Sanjuán Martínez, Giuseppe Fenza and Ruben Gonzalez Crespo
Affiliations: School of Economics and Management, Guangdong University of Petrochemical Technology, Guangdong, China
Correspondence:
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Corresponding author. Kuo-Yan Wang, School of Economics and Management, Guangdong University of Petrochemical Technology, Guangdong, China. E-mail: kokkanw@126.com.
Abstract: The problem of waste reduction is particularly emphasized the sources of environmental income i.e. tax and unit-pricing, instead of stimulus recycling administrative in the published literatures. A long-term rebate policy for recycling fund allowance was implemented in different metropolitan districts. However, evaluating the recycling performance at the local level does not include examining its rationality and efficiency in detail. To understand the uncertainty of role in decision making for substitute ranking, analysis based on decision making using fuzzy interval for performance assessment. This article redefines the criteria for evaluating recycling performance at the township level with assistance of artificial intelligence, and illustrates the results. We used a simple and swift evaluation process, namely, the VIKOR method, in place of the traditional public hearing or the Delphi method. The conclusion derived from the results can be used to analyze the effectiveness of the rebate policy for recycling at the township level.
