Publications on fuzzy set theory and its applications have grown exponentially. The increasing rate of developments in the field is a response to diverse factors, including the need for robust mathematical approaches that model human-like perceptions, values and decision-making processes in complex and dynamic systems. This study presents a citation analysis of 22 narrowly targeted fuzzy set theory journals with a focus on leading authors and research areas. In this paper, bibliometric tools are used for the treatment and analysis of a large amount of data retrieved from the rigorous Web of Science scientific database. The aim of the paper is to offer a general overview of the influence that fuzzy set theory has on academicians and diverse scientific fields. Its objective is to identify connections, trends and opportunities for synergies. The results of over 62,000 published documents, which represent more than 1,300,000 citations in the selected journals, show computer science and engineering as the top citing research fields and authors Xu, Pedrycz and Herrera as the top citing researchers.

关于模糊集理论及其应用的出版物呈指数增长。该领域不断发展的发展是对各种因素的反应，包括需要强大的数学方法来模拟复杂动态的系统中类似人的感知，价值和决策过程。这项研究提供了对22种狭义目标模糊集理论期刊的引文分析，重点是主要作者和研究领域。在本文中，文献计量工具用于处理和分析从严格的Web of Science科学数据库中检索到的大量数据。本文的目的是概述模糊集理论对院士和不同科学领域的影响。其目的是确定联系，趋势和增效机会。