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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 5/2020

15.02.2020 | Original Article

Complex network analysis of three-way decision researches

verfasst von: Bo Yang, Jinhai Li

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 5/2020

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Abstract

In this paper, complex networks are used to analyze the dataset of three-way decision articles published before December 18, 2019 and downloaded from ISI Web of Science. The scientific collaboration network, university collaboration network, networks of scientific papers (i.e., citation network, bibliographic coupling network, co-citation network) and keywords network are constructed to reveal the relationships between authors, affiliations, papers and keywords, respectively. Some interesting results are obtained and used to answer the following questions: (1) which authors play a key role in developing three-way decision; (2) which affiliations actively promote the development of three-way decision; (3) which papers are important or influential in the field of three-way decision; (4) what are the closely related research issues around three-way decision.
Vorheriger Artikel A comparison study of optimal scale combination selection in generalized multi-scale decision tables
Nächster Artikel Three-way decisions: beyond rough sets and granular computing

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Metadaten
Titel
Complex network analysis of three-way decision researches
verfasst von
Bo Yang
Jinhai Li
Publikationsdatum
15.02.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 5/2020
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-020-01082-x

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