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Issue title: Special Section: Recent Advances in Machine Learning and Soft Computing
Guest editors: Srikanta Patnaik
Article type: Research Article
Authors: Bao, Jiangdonga | Zhang, Jingdonga; * | Shi, Shuipingb | Johansson, Janc
Affiliations: [a] Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan, China | [b] Beijing World Standard Certification Center Co., Ltd, Beijing, China | [c] Centre of Advanced Mining and Metallurgy, CAMM, Department of Human Work Science, Luleå University of Technology, Luleå, Sweden
Correspondence: [*] Corresponding author. Jingdong Zhang, Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan, China. Tel.: +86 17099337648; Fax: +86 027 88386216; E-mail: [email protected].
Abstract: Cleaner production assessment is a measure of the state and level of cleaner production, also a necessary method of promoting cleaner production in enterprises. For the purpose of the improvement of cleaner production of enterprises, improved Analytic Hierarchy Process (AHP) model and grey relational analysis (GRA) are used to assess the same nature of the three enterprises of one group with seven quantitative indicators concordant with the Cleaner Production Report. The results are consistent with the clean production reports from three enterprises, which show that the integrated methods are feasible and objective, and can be used as a tool for internal cleaner production assessment.
Keywords: Cleaner production assessment, improved AHP, grey relational analysis
DOI: 10.3233/JIFS-169601
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 439-444, 2018
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