Aims & Scope
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.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.7 |
SJR (SCImago Journal Rank)
Year | Value |
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2024 | 0.754 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 191 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Extensions of the TOPSIS for group decision-making under fuzzy environment
Citation: 2787
Authors: Chen-Tung
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Fuzzy programming and linear programming with several objective functions
Citation: 2709
Authors: H.-J.
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Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
Citation: 2286
Authors: Lotfi A.