Aim & Scope
Information Sciences is designed to inform researchers, developers, managers, strategic planners, and others interested in state-of-the art research activities in intelligent systems and engineering.Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, library science, cognitive science, brain mapping, and behavioral sciences. The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice.The journal recognizes three major sections, knowingly: Information Sciences Intelligent Systems, covering the following subjects:Study of information flow, knowledge engineering, decision support systems, computation in complex systems with an emphasis on the appropriate mathematical and quantitative methods.MainTopics include:Neural Computation and Neural Networks, Theories of Qualitative Behavior,Fuzzy Logic and Mathematics, Genetic Algorithms and Modelling, Evolutionary Programming and Computing, Artificial Intelligence and Supervisory Control,Theory and Experimentation of Algorithmic and System Learning, and Self-Adaptation, Combinations of Symbolic/Numeric and Statistical Techniques, Methods for data fusion, Combination of Discrete Even Systems and other Dynamic System Methodologies.Information Sciences Applications - This section focuses on the state-of-the-art applications of informatics and computer theory, and intelligent systems research.Main Topics include:Artificial Life, Cognitive Science, Pattern Recognition, Behavioral Science, Business Management, Data analysis/compression, Databases and information retrieval, decision making/support systems, Expert Systems, Fuzzy Controllers, Genetic Algorithms, Human-Computer Interface, Robotics and Automation, Virtual Reality.Informatics and Computer Science, Main Topics include:Computational Theory, Design of Algorithms, Software Design, Computer Systems and Architectures, Evaluation Methods and Tools. [1]
Continuations / Journal History
| ( 1994 - 1995 ) | Information Sciences - Applications | ( 1968 - 9999 ) | Information Sciences |
2024 - VOLUME 656
Decentralized finite-time adaptive neural FTC with unknown powers and input constraints
No authors listed.
Information Sciences , 2024 - VOLUME 656 , p 119909.
Sequence recommendation using multi-level self-attention network with gated spiking neural P systems
No authors listed.
Information Sciences , 2024 - VOLUME 656 , p 119916.
Editorial Retractions, Expressions of Concern and External Notices
How to handle uncertainties in AHP: The Cloud Delphi hierarchical analysis
No authors listed.
Information Sciences2013 - VOLUME 222 pp 384-404.
1 0
Hesitant fuzzy set lexicographical ordering and its application to multi-attribute decision making
No authors listed.
Information Sciences2016 - VOLUME 327 pp 233-245.
0 0
A three-way decision approach with risk strategies in hesitant fuzzy decision information systems
No authors listed.
Information Sciences2022 - VOLUME 588 pp 293-314.
0 0