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Issue title: Ethical Computational Intelligence for Cyber Market
Guest editors: Oscar Sanjuán Martínez, Giuseppe Fenza and Ruben Gonzalez Crespo
Article type: Research Article
Affiliations: [a] School of Economics, Xi’an University of Finance and Economics, Shaanxi, China
Correspondence: [*] Corresponding author: Yang GAO, School of Economics, Xi’an University of Finance and Economics, Shaanxi, China. E-mail: gao_yangxa@126.com.
Abstract: With knowledge perspective of industrial technology, in this paper we propose fast ranking score decision making model based on Fuzzy integrated TOPSIS approach to determine economic growth rate of manufacturing industry in China. This research focuses on driving effects of China’s productive service industry on manufacturing technology innovation. The research results show that the manufacturer service industry takes a high level of information diffusion for the manufacturing industry. It transmits a large amount of diverse information through the unconstrained relationship with the manufacturing industry, thereby forming the economic network with proposed Fuzzy integrated TOPSIS economy ranking (FITER) model and improve the development level of the manufacturing industry. We evaluate the performance of proposed FITER model by comparing ranking score of different manufacturing industry with different existing decision making mode and demonstrate that proposed model represent best ranking score in comparison to existing approach. Result from data analysis motivates driving effect of production services on the technological innovation of manufacturing and sub-sectors. It is found that the innovation and technological advancement in the production industry of services takes drive the overall expansion level of the business industry, as well as make the manufacturing industry the strongest.
Keywords: Technology linkage, innovation drive, economic network, fuzzy-Integrated TOPSIS, technique for order of preference by similarity to ideal solution (TOPSIS)
DOI: 10.3233/JIFS-189661
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8403-8415, 2021
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