Fuzzy Sets and Systems

Fuzzy Sets and Systems 由 Elsevier 出版，属中科院数学大类（2025 升级版1区，Top 期刊）。按 OpenAlex 近年发文统计，该刊主要发表 Multi-Criteria Decision Making、Fuzzy Logic and Control Systems、Advanced Algebra and Logic 等主题的论文，这 3 个主题约占 40.1%。（根据 OpenAlex 主题统计与中科院分区数据生成）

An International Journal in Information Science and Engineering Official Publication of the International Fuzzy Systems Association (IFSA)Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In thefield of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences.The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.

摘自期刊官网 Aims & Scope

研究方向（LetPub）：数学-计算机：理论方法

主编 I. Couso出版商官网

编委会国家分布：中国大陆 8 位（约 5%）；主要国家 西班牙 25、意大利 18、法国 17、美国 10、捷克 9（共 157 位编委标注了国家） 编委会 ↗出版商官网 · 2026-10-01

中科院期刊分区表

数据库收录

SCIEScopusLetPub

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不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

影响因子

3LetPub · 2026-09-13

影响因子（出版商公布）

3.1出版商官网 · 2026-10-01

CiteScore 2026-06

5.8LetPub · 2026-09-13

CiteScore（出版商公布）

5.8出版商官网 · 2026-10-01

SJR 2026-06

0.72LetPub · 2026-09-13

SNIP 2026-06

1.43LetPub · 2026-09-13

h-index

150LetPub · 2026-09-13

h-index

265OpenAlex · 2026-10-01

i10-index

6,367OpenAlex · 2026-10-01

两年平均被引

2.73OpenAlex · 2026-10-01

自引率

22.6%LetPub · 2026-09-13

Gold OA 文章占比

14.97%LetPub · 2026-09-13

发文规模

年文章数

294LetPub · 2026-09-13

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各来源数据

平均审稿速度（社区反馈）

平均5.3个月来源Elsevier官网：平均23.3周LetPub · 2026-09-13

平均录用比例（社区反馈）

较易LetPub · 2026-09-13

投稿到首次决定

10 天出版商官网 · 2026-10-01

外审后首次决定

97 天出版商官网 · 2026-10-01

投稿到接收

203 天出版商官网 · 2026-10-01

接收到发表

6 天出版商官网 · 2026-10-01

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出版商

Elsevier

出版国家或地区

NETHERLANDS

出版语言

English

出版周期

Semimonthly

ISSN

0165-0114

电子版 ISSN

1872-6801

学会 / 主办单位

International Fuzzy Systems Association

官方链接

• 期刊主页 ↗LetPub
• 投稿系统 ↗出版商官网
• 专刊 / 特刊征稿 ↗出版商官网