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
Relation Pruning and Discriminative Sampling over Knowledge Graph for Long-tail Recommendation
Z Zhang , A Wang , Y Zhang , ... , M Inuiguchi
Information Sciences , 2024 , p 120871.
HGDO: An oversampling technique based on hypergraph recognition and Gaussian distribution
L Jia , Z Wang , P Sun , P Wang
Information Sciences , 2024 , p 120891.
An improved genetic salp swarm algorithm with population partitioning for numerical optimization
Q Fan , S Zhao , M Shang , ... , X Huang
Information Sciences , 2024 , p 120895.
Analytical generalized combination rule for evidence fusion
Information Sciences , 2024 , p 120903.
An Adaptive Strategy based Multi-Population Multi-Objective Optimization Algorithm
Information Sciences , 2024 , p 120913.
Prescribed-Time Consensus of Time-Varying Open Multi-Agent Systems with Delays on Time Scales
B Zhou , J Park , Y Yang , ... , Y Jiao
Information Sciences , 2024 , p 120957.
Differentially private federated learning with local momentum updates and gradients filtering
S Zhang , J Huang , P Li , C Liang
Information Sciences , 2024 , p 120960.
Editorial Retractions, Expressions of Concern and External Notices
A group consensus model with prospect theory under probabilistic linguistic term sets
Y Wang , J Zhan , C Zhang , Z Xu
Information Sciences2024 - VOLUME 653 p 119800.
6 46
A framework for group decision making with multiplicative trapezoidal fuzzy preference relations
Information Sciences2021 - VOLUME 577 pp 722-747.
18 43
A method based on distance measure for interval-valued intuitionistic fuzzy group decision making
Information Sciences2010 - VOLUME 180, ISSUE 1 pp 181-190.
94 0