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IEEE Trans. on Fuzzy Systems: Special Issue in Evolving Fuzzy Systems

IEEE Transactions on Fuzzy Systems (TFS) seeks original manuscripts for a Special Issue in Evolving Fuzzy Systems.

Fuzzy systems have demonstrated the ability to formalize in a computationally efficient manner the approximate reasoning capability typical of humans. One of the important research challenges today is to further develop the fuzzy systems theory towards the design of intelligent systems with a higher level of flexibility and autonomy, so that the systems can evolve their structure and knowledge depending on the environment and ultimately - evolve their intelligence. To address the problems of modelling, control, prediction, classification and data processing in a dynamically changing and evolving environment, a system must be able to fully adapt its structure and adjust its parameters, rather than use a pre-trained and a fixed structure. That is, the system must be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve.

The newly established concept of evolving intelligent systems is a result of the synergy between conventional systems, neural networks and fuzzy systems as structures for information representation and real time methods for machine learning. The emerging area of evolving fuzzy systems targets non-stationary processes by developing novel on-line learning methods and computationally efficient algorithms for real-time applications. Evolving fuzzy systems are inspired by the idea of fuzzy system model evolution. They focus on the evolution of a family of system models representing the system in different situations and operating conditions. In this sense they differ from the traditional evolutionary algorithms. They use inheritance and gradual change with the aim of life-long learning and adaptation, self-organization (including system structure evolution) in order to adapt to the (unknown and unpredictable) environment. Embedded soft computing diagnostics and prognostics algorithms, intelligent agents and controllers are the natural implementation area of evolving systems as a realistic and practical tool for design of real time intelligent systems.

The special issue seeks original research work in theory and applications of Evolving Fuzzy Systems. Submitted articles must not have been previously published or currently submitted for journal publication elsewhere and must meet the requirements of IEEE copyright policy. Processing of manuscripts will be done through Manuscript Central as per standard TFS norms. Authors' information can be found at ieee-cis.org/pubs/tfs.

Important dates

Submission deadline: May 31, 2007
Completion of the first round of reviews: August 31, 2007
Minor revisions due: September 30, 2007
Final acceptance notification: October 31, 2007
Publication: End of 2007

Please write "paper for the special issue on Evolving Fuzzy Systems" in the "Author Comments" text box while submitting the manuscript to Manuscript Central and inform the Guest Editors.

Guest Editors

Plamen Angelov, Lancaster University, United Kingdom, email: p.angelov .a_t. lancaster.ac.uk
Dimitar Filev, Ford Motor Co., USA, email: dfilev .a_t. ford.com
Nikola Kasabov, Auckland University of Technology, New Zealand, email: nkasabov .a_t. aut.ac.nz