Ever since the 1970s when the idea of fuzzy linguistic variable was introduced by L. Zadeh, it has been heatedly discussed and widely used in engineering, information science, and many other research fields. With the rapid development and use, thousands of papers have been published on fuzzy linguistic, detailing both theoretical development and application-oriented studies, being a very important area in the Computational Intelligence field. Considering this massive document material over the past decades, the main purpose of this study is to explore the knowledge structure and citation landscape in this field based on scientometrics and bibliometrics. The document data used in this study are obtained through a topic search from Web of Science, including 4350 original research and review articles. The intellectual structure of fuzzy linguistic knowledge domain is analyzed, such as countries and territories, research institutions, and authors. The bibliographic landscape is analyzed, identifying research themes and current research hotspots through document co-citation analysis and citation burst detection methods. The research results of this article remarkably benefit to our understanding of the fuzzy linguistic knowledge domain.

自1970年代L. Zadeh提出模糊语言变量的概念以来，它就受到了热烈的讨论，并广泛用于工程，信息科学和许多其他研究领域。随着快速发展和使用，模糊语言学方面发表了数千篇论文，详细介绍了理论发展和面向应用的研究，这是计算智能领域中非常重要的领域。考虑到过去数十年来的大量文献资料，本研究的主要目的是基于科学计量学和文献计量学来探索该领域的知识结构和引文景观。本研究中使用的文档数据是通过Web of Science的主题搜索获得的，其中包括4350篇原始研究和评论文章。分析了模糊语言知识领域的知识结构，例如国家和地区，研究机构和作者。通过文献共引分析和引爆检测方法分析书目景观，确定研究主题和当前研究热点。本文的研究结果极大地有助于我们对模糊语言知识领域的理解。