期刊
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 30, 期 6, 页码 3653-3663出版社
IOS PRESS
DOI: 10.3233/IFS-162111
关键词
Intuitionistic fuzzy set; CiteSpace; visualization analysis; quantitative
资金
- Philosophy and Social Sciences Planning in Zhejiang Province [16NDJC159YB]
- National Natural Science Foundation of China [71301142, 71501135]
- National Education Information Technology Research [146242069]
- Fundamental Research Funds for the Central Universities [skqy201649]
- Scientific Research Foundation for Scholars at Sichuan University [1082204112042]
Since proposed in 1983, the intuitionistic fuzzy set (IFS) theory has grown immensely during the past decades and has wide application in machine learning, pattern recognition, management engineering and decision making. With the rapid development and widespread adoption of IFS, thousands of research results have been appeared, focusing on both theory development and practical applications. Given the large number of research materials exist, this paper intends to make a scientometric review on IFS studies to reveal the most cited papers, influential authors and influential journals in this domain based on the 1318 references retrieved from SCIE and SSCI databases via Web of science. The research results of this paper are based on the objective data analysis and they are less affected by subjective biases, which make them more reliable.
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