About Rudolf Kruse and His Research Group on Computational Intelligence
The preceeding chapters contain original contributions on the occasion of Rudolf Kruse’s 60th birthday. These papers are categorized in the four research areas to which Rudolf Kruse and his research group contributed to, i.e. fuzzy data analysis, hybrid intelligent systems, uncertainty in knowledge-based systems, and intelligent data analysis. Each topic spans one part of this book whereas the corresponding papers are ordered alphabetically by the last name of the first author. The fifth part comprises papers that describe the application of computational intelligence methods to real-world data analysis problems. This gives some more historical insights into the research works of Kruse and his group.
KeywordsBayesian Network Fuzzy System Idle Speed Intelligent Data Analysis Hybrid Intelligent System
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- 3.Gabbay, D.M., Kruse, R. (eds.): Handbook of Deafesible Reasoning and Uncertainty Management Systems, Abductive Reasoning and Learning, vol 4. Kluwer (2000)Google Scholar
- 10.Kruse, R., Gebhardt, J., Klawonn, F.: Foundations of Fuzzy Systems. John Wiley & Sons, Inc., Chichester (1994)Google Scholar
- 11.Kruse, R., Gebhardt, J., Palm, R. (eds.): Fuzzy Systems in Computer Science. Vieweg-Verlag, Braunschweig (1994)Google Scholar
- 14.Nauck, D., Klawonn, F., Kruse, R.: Foundations of Neuro-Fuzzy Systems. John Wiley & Sons, Ltd., Chichester (1997)Google Scholar
- 16.Schröder, M., Petersen, R., Klawonn, F., Kruse, R.: Two paradigms of automotive fuzzy logic applications. In: Jamshidi, M., Titli, A., Zadeh, L., Boverie, S. (eds.) Applications of Fuzzy Logic: Towards High Machine Intelligence Quotient Systems. Environmental and Intelligent Manufacturing Systems Series, vol. 9, pp. 153–174. Prentice-Hall, Inc, Upper Saddle River (1997)Google Scholar