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Article type: Research Article
Authors: Shang, Yua; b | Li, Zhec | Wang, Zhanlind | Yang, Sifengd | Zhou, Jingluna; *
Affiliations: [a] College of Information System and Management, National University of Defense Technology, Changsha, Hunan, China | [b] Cryogenic Technology Division, Beijing Institute of Aerospace Testing Technology, Beijing, China | [c] Center for Arts Education, Tsinghua University, Beijing, China | [d] Scientific and Technological Committee, Beijing Institute of Aerospace Testing Technology, Beijing, China
Correspondence: [*] Corresponding author. Jinglun Zhou, College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China. E-mail: jlzhou@nudt.edu.cn.
Abstract: Most recently, uncertain and fuzzy factors appear frequently in group decision making (GDM) researches. A more realistic approach may be to use scientometric tools for carrying out the systematic review to disclose the fast-growing uncertain and fuzzy GDM methods. The aim of this paper is to show a comprehensive presentation of the state of these approaches. To achieve this goal, a systematic literature review of researching articles, which have been published in Science Citation Index (SCI) journals since 1965, is proposed. And this study mainly uses the software of CiteSpace which has been frequently used in data visualization field due to its universality in order to map the main trends in this subject. This work considers the leading categories, journals, authors and references, and the results indicate that the GDM research would continue to flourish. Additionally, some possible approaches that could improve the current fuzzy GDM methods are presented.
Keywords: Group decision making (GDM), bibliometric method, citespace, citation burst
DOI: 10.3233/JIFS-190631
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8603-8612, 2019
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