Evolving intelligent systems : methodology and applications PREFACE Evolving Intelligent Systems The Editors PART I: METHODOLOGY Evolving Fuzzy Systems 1. Learning Methods for Evolving Intelligent Systems (R. Yager) 2. Evolving Takagi Sugeno Fuzzy Systems from Data Streams (eTS+) (P. Angelov) 3. Fuzzy Models of Evolvable Granularity (W. Pedrycz) 4. Evolving Fuzzy Modeling Using Participatory Learning (E. Lima M. Hell R. Ballini and F. Gomide) 5. Towards Robust and Transparent Evolving Fuzzy Systems (E. Lughofer) 6. The building of fuzzy systems in real time: towards interpretable fuzzy rules (A. Dourado C. Pereira and V. Ramos) Evolving Neuro Fuzzy Systems 7. On line Feature Selection for Evolving Intelligent Systems (S. Ozawa S. Pang and N. Kasabov) 8. Stability Analysis of an On Line Evolving Neuro Fuzzy Network (J. de J. Rubio Avila) 9. On line Identification of Self organizing Fuzzy Neural Networks for Modelling Time varying Complex Systems (G. Prasad T. M. McGinnity and G. Leng) 10. Data Fusion via Fission for the Analysis of Brain Death (L. Li Y. Saito D. Looney T. Tanaka J. Cao and D. Mandic) Evolving Fuzzy Clustering and Classification 11. Similarity Analysis and Knowledge Acquisition by Use of Evolving Neural Models and Fuzzy Decision (G. Vachkov) 12. An Extended version of Gustafson Kessel Clustering Algorithm for Evolving Data Stream Clustering (D. Filev and O. Georgieva) 13. Evolving Fuzzy Classification of Non Stationary Time Series (Y. Bodyanskiy Y. Gorshkov I. Kokshenev and V. Kolodyazhniy) PART II: APPLICATIONS OF EIS 14. Evolving Intelligent Sensors in Chemical Industry (A. Kordon et al.) 15. Recognition of Human Grasps by Fuzzy Modeling (R Palm B Kadmiry and B Iliev) 16. Evolutionary Architecture for Lifelong Learning and Real time Operation in Autonomous Robots (R. J. Duro F. Bellas and J.A. Becerra) 17. Applications of Evolving Intelligent Systems to Oil and Gas Industry (J. J. Macias Hernandez et al.) Conclusion There is a clear demand in advanced process industries defense and Internet and communication (VoIP) applications for intelligent yet adaptive evolving systems. Evolving Intelligent Systems is the first self contained volume that covers this newly established concept in its entirety from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts it addresses the progress trends and major achievements in this emerging research field with a strong emphasis on the balance between novel theoretical results and solutions and practical real life applications. Evolving Intelligent Systems is the one stop reference guide for both theoretical and practical issues for computer scientists engineers researchers applied mathematicians machine learning and data mining experts graduate students and professionals. Jacket