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Issue title: Some highlights on fuzzy systems and data mining
Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu
Article type: Research Article
Authors: Bao, Jiangdonga | Zhang, Jingdonga; * | Li, Feia | Liu, Chaoyanga | Shi, Shuipingb
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
Correspondence: [*] Corresponding author. Jingdong Zhang, Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan, China. Tel.: +86 13871286328; Fax: +86 27 88386216; E-mail: 17099337648@163.com.
Abstract: In this study, AHP and FAHP models are carried out to comprehensively evaluate the social benefits of the occupational health and safety management systems of a mine located in the southwest of Hubei Province, China and a mine located in Luleå, Sweden. Reasonable factor sets, decision sets, weight sets, and experience in consistency are utilized in order to empirically analyze on a case-by-case basis. The results demonstrate that the social benefit of the mine occupational health and safety management system for the mine in China is of the “general” rank; thus, it needs to be further improved. In contrast, the system for the mine in Sweden is of the “relatively good” rank. The fundamental difference lies in the degree of emphasis placed on people. The results of this study provide a direction for improving the further development of mine occupational health and safety management systems.
Keywords: FAHP, social benefits, OHSAS
DOI: 10.3233/JIFS-169197
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 3113-3120, 2016
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