Fuzzy Optimization and Decision Making (FODM) is one of the influential journals in the research field of computer science and operation research, which was found in 2002. In this study, 370 publications published in FODM during 2002 and 2017 were retrieved from the Scopus database, and bibliometric methods are applied to analyze the structure of the FODM journal. First, general statistical analysis based on the number of publications and citations was implemented to find the annual publishing trends, citation structures, most cited publications, and productive authors/institutions/countries/territories. Second, the co-citation networks of cited authors/sources/references were generated; the nodes, links, and total link strengths based on the visualized networks are used to analyze citation connections. Next, to detect the development of the research topics, the co-occurrence networks of keywords of the different stages were illustrated, and the burst detection of keywords is used to identify the emerging topics. Finally, the future challenges of the FODM journal are discussed according to the process and findings of our study. This study provides a systematic and objective view of the FODM journal, which can be helpful for scholars to understand the development and the research structure of this journal.

中文翻译：

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模糊优化与决策的文献计量分析（2002–2017）

模糊优化与决策（FODM）是计算机科学和运筹学研究领域中的有影响力的期刊之一，于2002年被发现。在此研究中，从Scopus数据库中检索了2002年和2017年FODM中出版的370种出版物，并且采用了文献计量法用于分析FODM期刊的结构。首先，基于出版物和引文数量进行一般统计分析，以发现年度出版趋势，引文结构，引用最多的出版物以及生产性作者/机构/国家/地区。其次，生成了被引作者/来源/参考文献的共引网络；基于可视化网络的节点，链接和总链接强度可用于分析引文连接。接下来，要检测研究主题的发展，说明了不同阶段关键词的共现网络，并利用关键词的突发检测来识别新兴话题。最后，根据我们的研究过程和发现，讨论了FODM期刊的未来挑战。这项研究为FODM期刊提供了系统和客观的观点，有助于学者了解FODM期刊的发展和研究结构。