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Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases
International Journal of Computers Communications & Control ( IF 2.0 ) Pub Date : 2021-01-17 , DOI: 10.15837/ijccc.2021.1.4120
Valentin Radu , Florin Radu , Alina Iuliana Tabirca , Silviu Ilie Saplacan , Ramona Lile

The purpose of this study is to explore the Web of Science Database (WOS) and review the significant contributions to the research of Fuzzy Logic or Fuzzy Sets theory from the beginning to the present. This study analyzes the most eminent authors, institutions, countries, and journals in Fuzzy Logic research by applying science mapping methods and bibliometric measures. Also, we paid attention to link strength and h-index to represent the visibility, influence, and link between the representative authors. Moreover, we added descriptive statistics to highlight strong linearity and a connection between fuzzy publications and Fuzzy Logic research. Also, we applied regression analyses and prevision functions to predict the evolution of the Fuzzy Logic topic.
The results showed a significant increase in the number of papers published annually in a portfolio of internationally representative journals. This leads us to the idea that Fuzzy Logic research is now a transdisciplinary topic that continually develops. Therefore, it can be found in more and more related areas such as artificial intelligence, IoT, medicine, economics, or the environment. Most of the results are consistent with other bibliometric studies. Still, some results are different, results related to the current cited works that show a polarization in the Asia area and the top journals that is continuously changing depending on the number of papers and the quotations of scientific personalities that publish. We used the VOS Viewer software to map the main trends in the field. The results indicate that the use of concepts has long exceeded traditional boundaries.


中文翻译:

国际科学数据库中模糊逻辑研究的文献计量分析

这项研究的目的是探索Web of Science数据库(WOS),并从一开始就回顾其对模糊逻辑或模糊集理论研究的重要贡献。本研究通过应用科学映射方法和文献计量方法,分析了模糊逻辑研究中最著名的作者,机构,国家和期刊。另外,我们关注链接强度和h指数来表示代表性作者之间的可见性,影响和链接。此外,我们添加了描述性统计数据以突出强大的线性以及模糊出版物与模糊逻辑研究之间的联系。此外,我们应用了回归分析和预测功能来预测模糊逻辑主题的发展。
结果显示,每年在国际代表性期刊中发表的论文数量显着增加。这使我们想到模糊逻辑研究现在是一个不断发展的跨学科主题。因此,可以在越来越多的相关领域中找到它,例如人工智能,物联网,医学,经济学或环境。大多数结果与其他文献计量学研究一致。不过,有些结果是不同的,与当前引用的作品相关的结果表明,亚洲地区和顶级期刊之间存在两极分化,这取决于论文数量和发表的科学人物的名言而不断变化。我们使用VOS Viewer软件绘制了该领域的主要趋势。
更新日期:2021-01-18
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