International Journal of Computational Intelligence Systems

Aims & Scope

The International Journal of Computational Intelligence Systems publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory.

The core theories of computational intelligence are fuzzy logic, neural networks, evolutionary computation and probabilistic reasoning.

The journal publishes only articles related to the use of computational intelligence and broadly covers the following topics: -Autonomous reasoning- Bio-informatics- Cloud computing- Condition monitoring- Data science- Data mining- Data visualization- Decision support systems- Fault diagnosis- Intelligent information retrieval- Human-machine interaction and interfaces- Image processing- Internet and networks- Noise analysis- Pattern recognition- Prediction systems- Power (nuclear) safety systems- Process and system control- Real-time systems- Risk analysis and safety-related issues- Robotics- Signal and image processing- IoT and smart environments- Systems integration- System control- System modelling and optimization- Telecommunications- Time series prediction- Warning systems- Virtual reality- Web intelligence- Deep learning

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

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.

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.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Mathematics, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,990.00 EUR. Learn more.

Explore journals without APCs for alternative publishing options.

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.

• Computing with Words in Decision support Systems: An overview on Models and Applications

  Citation: 152

  Authors: Luis, Da, Francisco

• Risk Decision Making Based on Decision-theoretic Rough Set: A Three-way View Decision Model

  Citation: 126

  Authors: Huaxiong, Xianzhong

• Three-way Investment Decisions with Decision-theoretic Rough Sets

  Citation: 122

  Authors: Dun, Yiyu, Tianrui

• Application of an advanced fuzzy logic model for landslide susceptibility analysis

  Citation: 78

  Authors: Biswajeet

• A hybrid genetic algorithm for the distributed permutation flowshop scheduling problem

  Citation: 65

  Authors: Jian, Rong

• A Knowledge Based Recommender System with Multigranular Linguistic Information

  Citation: 60

  Authors: Luis, Manuel J., Luis G., Macarena

• An Application Of Effective Genetic Algorithms For Solving Hybrid Flow Shop Scheduling Problems

  Citation: 58

  Authors: Cengiz, Orhan, Ä°hsan, Mustafa

• A Ranking Method of Triangular Intuitionistic Fuzzy Numbers and Application to Decision Making

  Citation: 56

  Authors: Deng Feng, Jiang Xia, Mao Jun

• A Lexicographic Method for Matrix Games with Payoffs of Triangular Intuitionistic Fuzzy Numbers

  Citation: 45

  Authors: Jiang-Xia, Deng-Feng, Mao-Jun

• A New Minkowski Distance Based on Induced Aggregation Operators

  Citation: 42

  Authors: José M., Montserrat