International Journal of Fuzzy Logic and Intelligent Systems

Aims & Scope

The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems.

The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int.

J.

Fuzzy Log.

Intell.

Syst.

Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar.

The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory.

Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.2
2024	1.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.331

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	19

Journal Rank

Year	Value
2024	15701

Journal Citation Indicator

Year	Value
2024	192

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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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.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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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.

• Plant Leaf Recognition Using a Convolution Neural Network

  Citation: 123

  Authors: Wang-Su, Sang-Yong

• Gaussian-Based SMOTE Algorithm for Solving Skewed Class Distributions

  Citation: 74

  Authors: Hansoo, Jonggeun, Sungshin

• Design of Fuzzy-PID Controller for Path Tracking of Mobile Robot with Differential Drive

  Citation: 73

  Authors: Do Khac, Kinam, Dae-Yeong, Bongwoo, Young-Jae

• Group Decision Making Using Intuitionistic Hesitant Fuzzy Sets

  Citation: 68

  Authors: Ismat, Tabasam

• A Particle Filtering Approach for On-Line Failure Prognosis in a Planetary Carrier Plate

  Citation: 68

  Authors: Marcos E., George J.

• Deep Neural Network Self-training Based on Unsupervised Learning and Dropout

  Citation: 48

  Authors: Hye-Woo, Noo-ri, Jee-Hyong

• A Simple Method for Solving Type-2 and Type-4 Fuzzy Transportation Problems

  Citation: 47

  Authors: P. Senthil

• Design of Fuzzy-PID Controller for Quadcopter Trajectory-Tracking

  Citation: 39

  Authors: Mohammed, Ali, Yun-Jong, Sung-Ho

• Fingerprint Pattern Classification Using Convolution Neural Network

  Citation: 36

  Authors: Wang-Su, Sang-Yong

• Chaotic Phenomena in Addiction Model for Digital Leisure

  Citation: 36

  Authors: Youngchul

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