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Rudolf Kruse
First name(s): Rudolf
Last name(s): Kruse

Keywords:

Publications of Rudolf Kruse sorted by recency
Rudolf Kruse and E. Schwecke, On the combination of information sources, pages 24--30, Springer, Lecture Notes in Computer Sciences 521, 1992
Rudolf Kruse and K. D. Meyer, On Calculating the Covariance in the Presence of Vague Data, Kluwer, Progress in Fuzzy Sets and Systems, 1989
Rudolf Kruse and K. D. Meyer, Confidence Intervals for the Parameters of a Linguistic Random Variable, pages 113--123, Springer, Combining Fuzzy Imprecision with Probabilistic Uncertainty in De, 1988
Rudolf Kruse and Frank Klawonn, Mass Distributions on L-Fuzzy Sets and Families of Frames of Discernment, pages 239--250, Wiley, Advances in Dempster-ShaferTheory of Evidence, 1994
Rudolf Kruse and Jörg Gebhardt, Fuzzy Probability Theory and Fuzzy Statistics, pages 605--610, Gustav Fischer Verlag, Softstat ´93: Advances in Statistical Software, 1993
Rudolf Kruse, Wie geht man mit unscharfen Informationen um? H. Hischer, pages 79--83, Franzbecker Verlag, Modellbildung, Computer und Mathematikunterricht, 2000
Rudolf Kruse, Fuzzy-Systeme, pages 208--212, Oldenbourg Verlag, Kleines Wörterbuch der Informatik, 1995
Rudolf Kruse, Beiträge zum Thema Fuzzy-Logik und Approximatives Schließen, Klett-Cotta-Verlag, Wörterbuch der Kognitionswissenschaft, 1996
Rudolf Kruse, Characteristics of Linguistic Random Variables, pages 219--230, TÜV Rheinland, Topics in the Mathematics of Fuzzy Systems, 1986
Rudolf Kruse, Wissensbasierte Systeme, TU Braunschweig, Wissenschaft als Zukunftskultur, 1996
Rudolf Kruse, The strong law of large numbers for fuzzy random variables, pages 272--276, Morgan Kaufmann, Readings in Fuzzy Sets for Intelligent Systems, 1993
Rudolf Kruse, On the Semantic Foundations of Fuzzy Probability and Fuzzy Statistics, pages 131--135, Akademie Verlag, Modeling Uncertain Data, 1992
Frank Klawonn and Rudolf Kruse, Derivation of Fuzzy Classificatio Rules from Multidimensional Data, pages 90--94, The International Institute for Advanced Studies in Systems Research and Cybernetics, Advances in Intelligent Data Analysis, 1995
Jörg Gebhardt, Aljoscha Klose, Heinz Detmer, Frank Rügheimer and Rudolf Kruse, Graphical Models for Industrial Planning on Complex Domains, in: Decision Theory and Multi-Agent Planning, pages 131--143, Springer, 2006
J. Grabmeier, J. Buhmann, Rudolf Kruse and Heiko Timm, Segmentierende und clusterbildende Methoden, pages 299-353, Vieweg, Handbuch Data Mining im Marketing. Knowledge Discovery in Market, 2001
Jörg Gebhardt and Rudolf Kruse, Some Notes on Possibilistic Learning, pages 23--32, Springer, Mathematical and Statistical Methods in Artificial Intelligence, 1995
Jörg Gebhardt and Rudolf Kruse, Learning Possibilistic Networks from Data, pages 143--153, Springer, Learning from Data, Artificial Intelligence and Statistics 5, Le, volume 112, 1996
Jörg Gebhardt and Rudolf Kruse, POSSINFER - A Software Tool for Possibilistic Inference, pages 407--418, Wiley, Fuzzy Set Methods in Information Engineering - A Guided Tour of, 1996
Jörg Gebhardt, María Ángeles Gil and Rudolf Kruse, Concepts of fuzzy-valued statistics, pages 35, Kluwer, International Handbook on Fuzzy Sets and Possibility Theory, volume 4, 1997
Jörg Gebhardt, Rudolf Kruse and María Ángeles Gil, Fuzzy set-theoretic methods in statistics, pages 310--348, Kluwer Academic, Handbook of Fuzzy-Sets, 1998
Jörg Gebhardt, Rudolf Kruse and María Ángeles Gil, Fuzzy-set theoretic methods in statistics, Kluwer, Handbook on Fuzzy Sets, Kapitel 10, volume 5, 1997
Jörg Gebhardt and Rudolf Kruse, Possibilistische graphische Modelle, pages 55--69, Vieweg, Modellbildung und Simulation im Umweltbereich, 1997
Jörg Gebhardt and Rudolf Kruse, Parallel combination of information sources, Kluwer, Handbook of Defeasible Reasoning and Uncertainty Management Syst, volume 1, 1997
Frank Klawonn, Rudolf Kruse and Heiko Timm, Fuzzy Shell Cluster Analysis, pages 105--120, Springer, Learning, Networks and Statistics, 1997
Frank Klawonn and Rudolf Kruse, Clustering Methods in Fuzzy Control, pages 195--202, Springer, From Data to Knowledge: Theoretical and Practical Aspects of Cla, 1995
Detlef Nauck and Rudolf Kruse, Neuro-fuzzy systems, pages 230--259, Springer, Computational Intelligence: Soft Computing and Fuzzy-Neuro Integ, 1998
Detlef Nauck and Rudolf Kruse, Neuro-fuzzy systems, pages 241--270, Springer, NATO ASI Series F, 1997
Detlef Nauck, Frank Klawonn, Rudolf Kruse and U. Lohs, Reasoning under Uncertainty with Temporal Aspects, pages 572--580, Springer, Industrial and Engineering Application of Artificial Intelligenc, 1992
Detlef Nauck and Rudolf Kruse, Neuro-Fuzzy Methods in Fuzzy Rule Generation, pages 305--334, Kluwer Academic Publishers, Fuzzy Sets in Approximate Reasoning and Information Systems 5, 1999
Christian Borgelt and Rudolf Kruse, Data Mining with Possibilistic Graphical Models, pages 229--248, IOS Press, Nato Science Series III, Systematic Organisation of Information, volume 184, 2003
Christian Borgelt, Jörg Gebhardt and Rudolf Kruse, Inference Methods, chapter F1.2, Institute of Physics Publishing, Handbook of Fuzzy Computation, 1998
Christian Borgelt and Rudolf Kruse, Probabilistic Networks for Abductive Inference, Kluwer, Abductive Reasoning and Learning, 2000
Andreas Nürnberger, Witold Pedrycz and Rudolf Kruse, Classification: Neural Net Approaches, Oxford University Press, Handbook of Data Mining and Knowledge Discovery, 2002
Andreas Nürnberger, Aljoscha Klose, Rudolf Kruse, G. K. Hartmann and M. Richards, Clustering of Document Collections to Support Interactive Text Exploration, pages 257--265, Springer, Exploratory Data Analysis in Empirical Research, 2002
Aljoscha Klose and Rudolf Kruse, Information Mining with Semi-Supervised Learning, Springer, Soft Methodology and Random Information Systems, 2004
Aljoscha Klose, Andreas Nürnberger, Detlef Nauck and Rudolf Kruse, Data Mining with Neuro-Fuzzy Models, pages 1--36, Physica-Verlag, Data Mining and Computational Intelligence, 2001
Fuzzy Systems in Computer Science, Vieweg, Series Artificial Intelligence, 1994
Symbolic and Quantitative Approaches to Uncertainty, Springer, Lecture Notes in Computer Science, volume 747, 1993
Symbolic and Quantitative Approaches to Uncertainty, Springer, Lecture Notes in Computer Science, volume 548, 1991