International Journal of Intelligent Information Processing

The International Journal of Intelligent Information Processing is a peer-reviewed journal. The International Journal of Intelligent Information Processing is devoted to theories, methods, and applications of intelligent information processing and related research areas. The journal will be published 2 issues each year.

Contributions on (not limited to) the following topics of interest are welcome:

• non-classical logic theories and applications,
  
• soft-computing theories and methods, such as neural networks, genetic algorithms, hybrid methods, rough set theory, etc
• artificial intelligence and expert systems
• certainty and uncertainty reasoning
• machine learning
• decision theory, applications, and decision support systems
• system identification, modeling, and optimization
• signal and image processing, pattern recognition
• human-machine interface
• data mining and intelligent information retrieval
• e-sciences and applications

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