Fuzzy Sets and Systems is an area of computational intelligence, pioneered by Lotfi Zadeh over 50 years ago in a seminal paper in Information and Control. Fuzzy Sets (FSs) deal with uncertainty in our knowledge of a particular situation. Research and applications in FSs have grown steadily over 50 years. More recently, we have seen a growth in Type-2 Fuzzy Set (T2 FS) related papers, where T2 FSs are utilized to handle uncertainty in realworld problems. In this paper, we have used bibliometric methods to obtain a broad overview of the area of T2 FSs. This method analyzes information on the bibliographic details of published journal papers, which includes title, authors, author address, journals and citations, extracted from the Science and Social Science Citation Indices in the Web of Science (WoS) database for the last 20 years (1997-2017). We have compared the growth of publications in the field of FSs, and its subset T2 FSs, identified highly cited papers in T2 FSs, highly cited authors, key institutions, and main countries with researchers involved in T2 FS related research.

中文翻译：

---

类型 2 模糊集和系统领域的文献计量学概述 [讨论论坛]

模糊集和系统是计算智能的一个领域，由 Lotfi Zadeh 于 50 多年前在信息与控制领域的开创性论文中开创。模糊集 (FS) 处理我们对特定情况知识的不确定性。50 多年来，FS 的研究和应用稳步增长。最近，我们看到 2 类模糊集 (T2 FS) 相关论文的增长，其中 T2 FS 用于处理现实世界问题中的不确定性。在本文中，我们使用文献计量方法来获得 T2 FS 领域的广泛概述。该方法分析了过去 20 年从科学网络 (WoS) 数据库中的科学和社会科学引文索引中提取的已发表期刊论文的书目详细信息，包括标题、作者、作者地址、期刊和引文。 1997-2017 年）。