Notes on Intuitionistic Fuzzy Sets is an international scientific journal, specialized in the theory and application of intuitionistic fuzzy sets and logics as an interdisciplinary field at the cross point between mathematics and engineering sciences. Having started in 1995, Notes on Intuitionistic Fuzzy Sets is the first and one of the leading scientific journals, exclusively publishing research in this field of science, as defined by the strict journal's scope and Editorial policy.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Prof. Marin Drinov Publishing House of Bulgarian Academy of Sciences
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Does the journal have a website?
✓ Linked
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Is the ISSN verified?
2367-8283
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Indexed in a trusted database?
Scopus, DOAJ
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Peer review process documented?
Single-blind
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Follows ethical publishing standards (COPE)?
N/A
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APC fees clearly disclosed?
No APC (Free)
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Not on predatory/blacklists?
✓ Clean
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Long-term digital preservation?
N/A
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Plagiarism detection in place?
Yes
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Listed in DOAJ (verified OA)?
DOAJ verified
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Primary language documented?
English
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computational Theory and MathematicsQ3
Decision Sciences (miscellaneous)Q3
Engineering (miscellaneous)Q3
Mathematics (miscellaneous)Q3
Subject Classification
Scopus Categories
Mathematics (miscellaneous)Engineering (miscellaneous)Computational Theory and MathematicsDecision Sciences (miscellaneous)
Research Topics (OpenAlex)
Intuitionistic Fuzzy Systems ApplicationsMulti-Criteria Decision MakingFuzzy Logic and Control SystemsFuzzy and Soft Set TheoryFuzzy Systems and OptimizationAdvanced Algebra and LogicFixed Point Theorems AnalysisInformation Systems and Technology ApplicationsAdvanced Scientific Research MethodsRough Sets and Fuzzy Logic