Within the 5th International Conference on Computer Supported Education - CSEDU 2013
SCOPE
Over the last few years there have been significant applications which use fuzzy systems in nurturing professions such as education, health care and social care which have shown to make a significant difference to people’s everyday lives and provide measurable benefits. Due to the nature of fuzzy systems, the transition of theoretical research into real-world applications has enabled solutions to be found to problems in a wide variety of domains. However, the impact of these solutions on members of society is not often transferred back into the research community collectively. Experiences from users on the use of such systems would enhance further improvements and research directions in the future.
The main objective of the session is to provide a forum to disseminate and discuss recent and significant research efforts in real-world educational applications in fuzzy systems which have significantly benefited society. A further objective of the session is to show how recent academic research has been transferred into industrial and public organizational environments. Papers should show how the public has effectively engaged with the application and should consider the societal implications and public attitudes, alongside others, in the conduct and use of research. New, unusual and hybrid approaches used to create such applications are particularly encouraged and should clearly reflect the benefit to society. The session is therefore open to high quality submissions from researchers who should present original research and applications including innovative results. Such applications should utilize the following topic areas of fuzzy systems (but are not limited to):
• Genetic Fuzzy Systems including adaptive, hierarchical, evolutionary, neural and nature-inspired systems.
• Hybrid systems of computational intelligence techniques
• Fuzzy image, speech and signal processing, vision and multimedia
• Fuzzy control and robotics
• Fuzzy optimization and design, decision analysis and support
• Fuzzy data analysis - clustering and classifiers, pattern recognition, bio-informatics
• Fuzzy information processing - information extraction and retrieval, fusion, text mining
• Knowledge discovery, learning, reasoning, agents, knowledge representation
• Computing with words, fuzzy human computer interaction
• Application optimization, decision analysis, decision making, multi-criteria decision making
• Type-2 fuzzy systems and sets.