Abstract
Fuzzy systems can be found in nearly all industrial branches, e.g. automobile, control engineering, finance, medicine, logistics, telecommunications. Their advantage is their inherent simplicity. Fuzzy rule-based models often turn out to be useful and easily understandable in many real-world applications. In order to learn such models from data – may they be fuzzy or not – intelligent data analysis methods for learning and reasoning are necessary. Thus there is a need for fuzzy data analysis.
The aim of this paper is twofold: In the first part Rudolf Kruse presents some memoirs on early research in fuzzy data analysis and some anecdotes about Lotfi Zadeh in this context. The second part is donated to real-world applications of fuzzy methods and some thoughts about perspectives of fuzzy data analysis.
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References
Zadeh, L.A.: Probability measures of fuzzy events. Journal of Mathematical Analysis and Applications 23(2), 421–427 (1968)
Kruse, R.: On a language and an interpreter for calculation and statistics on linguistic data. In: Proc. First IFSA Congress, Palma de Mallorca, Spain (1986)
Kruse, R.: On the variance of random sets. Journal of Mathematical Analysis and Applications 122(2), 469–473 (1987)
Kruse, R., Meyer, K.D.: Statistics with Vague Data. In: Mathematical and Statistical Methods. D. Reidel Publishing Company, Dordrecht (1987)
Kruse, R., Gebhardt, J., Klawonn, F.: Foundations of Fuzzy Systems. John Wiley & Sons Ltd., Chichester (1994)
Klawonn, F., Gebhardt, J., Kruse, R.: Fuzzy control on the basis of equality relations with an example from idle speed control. IEEE Transactions on Fuzzy Systems 3(3), 336–350 (1995)
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)
Syring, F.: Lotfi Zadeh in Braunschweig. In: Rebe, B., Schnieder, E., Grumbach-Raasch, E. (eds.) Moment eines Jubiläums: 250 Jahre Technische Universität Braunschweig, Technische Universität Braunschweig, pp. 331–332 (1996)
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Kruse, R., Held, P., Moewes, C. (2013). On Fuzzy Data Analysis. In: Seising, R., Trillas, E., Moraga, C., Termini, S. (eds) On Fuzziness. Studies in Fuzziness and Soft Computing, vol 298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35641-4_49
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DOI: https://doi.org/10.1007/978-3-642-35641-4_49
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