inbook

[1]	Rudolf Kruse, Matthias Steinbrecher, and Mirko Böttcher. chapter WCCI 2010 Plenary and Invited Lectures, pages 1-22. Institute of Electrical and Electronics Engineering, Inc., 2010. [ bib ]
[2]	Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, and Rudolf Kruse. volume 275, chapter Ensemble Learning for Multi-source Information Fusion, pages 123-141. Springer, 2010. [ bib \| DOI ]
[3]	Christian Moewes, Clemens Otte, and Rudolf Kruse. volume 11 of Statistical Science and Interdisciplinary Research, chapter Simple Machine Learning Approaches to Safety-Related Systems: Image Analysis and Data Mining, pages 231-249. World Scientific Publishing Co. Inc., 2010. Chapter: 12. [ bib ]
[4]	Frank Rehm, Roland Winkler, and Rudolf Kruse. chapter Fuzzy Clustering with Repulsive Prototypes: Methods and Design, pages 332-345. Information Science Reference, 2010. [ bib \| http ]
[5]	Roland Winkler, Frank Klawonn, Frank Höppner, and Rudolf Kruse. chapter Fuzzy Cluster Analysis of Larger Data Sets: Methods and Design, pages 302-331. IGI Global, 2009. [ bib \| http ]
[6]	Mirko Böttcher, Georg Ruß, Detlef Nauck, and Rudolf Kruse. chapter From Change Mining to Relevance Feedback: A Unified View on Assessing Rule Interestingness, pages 12-37. Information Science Reference. IGI Global, 2009. Chapter: 2. [ bib \| http ]
[7]	Christian Borgelt and Rudolf Kruse. chapter Constraining Shape and Size in Clustering, pages 13-25. Springer, 2009. [ bib \| DOI \| http ]
[8]	Sebastian Nusser, Clemens Otte, Werner Hauptmann, and Rudolf Kruse. chapter Learning Verifiable Ensembles for Classification Problems with High Safety Requirements: Integrating Advanced Technology. IGI Global, 2009. accepted. [ bib ]
[9]	Frank Rehm, Frank Klawonn, and Rudolf Kruse. chapter Density-Based Multidimensional Scaling, pages 53-60. Springer, 2009. [ bib \| DOI \| http ]
[10]	Frank Klawonn and Rudolf Kruse. chapter Similarity Relations and Independence Concepts, pages 179-196. Number 504 in CISM International Centre for Mechanical Sciences. Springer, 2008. Chapter: 4. [ bib \| http ]
[11]	Marie-Jeanne Lesot and Rudolf Kruse. chapter Gustafson-Kessel-Like Clustering Algorithm Based on Typicality Degrees, pages 117-130. World Scientific Publishing Company, 2008. [ bib \| .html ]
[12]	Frank Rehm, Frank Klawonn, and Rudolf Kruse. chapter Efficient Visualization of High-Dimensional Data with Polar Coordinates. Idea Group Publishing, 2008. Edition: 2nd. [ bib \| http ]
[13]	Matthias Steinbrecher, Frank Rügheimer, and Rudolf Kruse. volume 132/2008 of Studies in Computational Intelligence, chapter Application of Graphical Models in the Automotive Industry, pages 79-88. Springer Berlin / Heidelberg, 2008. Chapter: 5. [ bib \| DOI ]
[14]	Rudolf Kruse, Christian Döring, and Marie-Jeanne Lesot. chapter Fundamentals of Fuzzy Clustering, pages 3-30. John Wiley {&} Sons, 2007. Chapter: 1. [ bib \| DOI \| .html ]
[15]	Frank Rehm, Frank Klawonn, and Rudolf Kruse. chapter Single Cluster Visualization to Optimize Air Traffic Management, pages 319-325. Springer, 2007. citeulike-article-id={1995904}. [ bib \| DOI ]
[16]	Matthias Steinbrecher and Rudolf Kruse. volume 23 of Studien zur Wirtschaftsinformatik, chapter Visualizing Interesting Rules through Belief Network Inspection: Methods and Applications, pages 95-101. Verlag Dr. Kova{v{c}}, Hamburg, 2007. Essays in Honor of Prof. Dr. Hans-J. Lenz. [ bib ]
[17]	Christian Borgelt and Rudolf Kruse. chapter Section 3.4: Artificial Intelligence Methods, pages 153-168. American Society of Agricultural and Biological Engineers (ASABE), 2006. [ bib \| www: ]
[18]	Jörg Gebhardt, Aljoscha Klose, Heinz Detmer, Frank Rügheimer, and Rudolf Kruse. chapter Graphical Models for Industrial Planning on Complex Domains, pages 131-143. Number 482 in CISM Courses and Lectures. Springer, 2006. contains papers read on the 7th Int. Workshop `Intelligent Agents: Decision-Support and Planning', Udine, Italy, 2004. [ bib \| .pdf ]
[19]	Jörg Gebhardt, Aljoscha Klose, and Heinz Detmer. chapter Graphical Models for Industrial Planning on Complex Domains, pages 131-143. Number 482 in CISM Courses and Lectures. Springer, 2006. [ bib \| http ]
[20]	Marie-Jeanne Lesot and Rudolf Kruse. chapter Gustafson-Kessel-like clustering algorithm based on typicality degrees, pages 1300-1307. EDK, Paris, 2006. [ bib ]
[21]	Aljoscha Klose and Rudolf Kruse. chapter Information Mining with Semi-Supervised Learning. Soft Methodology and Random Information Systems. Springer, 2004. [ bib ]
[22]	Frank Klawonn and Rudolf Kruse. chapter The Inherent Indistinguishability in Fuzzy Systems Logic versus Approximation, pages 6-17. Springer, 2004. [ bib ]
[23]	Christian Borgelt and Rudolf Kruse. chapter Local Structure Learning in Graphical Models, pages 99-118. CISM Courses and Lectures 472. Springer-Verlag, 2003. [ bib ]
[24]	Christian Borgelt and Rudolf Kruse. chapter Learning Graphical Models by Extending Optimal Spanning Trees, pages 339-348. Elsevier, 2003. [ bib ]
[25]	Christian Borgelt and Rudolf Kruse. volume 184 of Nato Science Series III, Systematic Organisation of Information, chapter Data Mining with Possibilistic Graphical Models, pages 229-248. IOS Press, 2003. [ bib ]
[26]	Aljoscha Klose, Andreas Nürnberger, Detlef Nauck, and Rudolf Kruse. chapter Self-Organising Maps for Interactive Search in Document Databases. Intelligent Exploration of the Web. Physica-Verlag, 2002. [ bib ]
[27]	Andreas Nürnberger, Aljoscha Klose, Rudolf Kruse, G. K. Hartmann, and M. Richards. chapter Clustering of Document Collections to Support Interactive Text Exploration, pages 257-265. Exploratory Data Analysis in Empirical Research. Springer, 2002. [ bib ]
[28]	Andreas Nürnberger, Witold Pedrycz, and Rudolf Kruse. chapter Classification: Neural Net Approaches. Handbook of Data Mining and Knowledge Discovery. Oxford University Press, 2002. [ bib ]
[29]	Aljoscha Klose, Andreas Nürnberger, Detlef Nauck, and Rudolf Kruse. chapter Data Mining with Neuro-Fuzzy Models, pages 1-36. Data Mining and Computational Intelligence. Physica-Verlag, 2001. [ bib ]
[30]	Christian Borgelt, Heiko Timm, and Rudolf Kruse. chapter Probabilistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers, pages 121-138. Advances in Soft Computing. Physica-Verlag, 2001. [ bib ]
[31]	J. Grabmeier, J. Buhmann, Rudolf Kruse, and Heiko Timm. chapter Segmentierende und clusterbildende Methoden, pages 299-353. Handbuch Data Mining im Marketing. Knowledge Discovery in Market. Vieweg, 2001. [ bib ]
[32]	Detlef Nauck and Rudolf Kruse. chapter Information Fusion in Neuro-Fuzzy Systems, pages 77-90. Data Fusion and Perception. Springer, 2001. [ bib ]
[33]	Christian Borgelt and Rudolf Kruse. chapter Probabilistic Networks for Abductive Inference. Abductive Reasoning and Learning. Kluwer, 2000. [ bib ]
[34]	Christian Borgelt and Rudolf Kruse. volume 4 of Handbook of Defeasible Reasoning and Uncertainty Management Syst, chapter Abductive Inference with Probabilistic Networks. Kluwer, 2000. [ bib ]
[35]	Christian Borgelt, Heiko Timm, and Rudolf Kruse. chapter Unsicheres und vages {W}issen, pages 291-347. Addison-Wesley, 2000. Chapter: 9. [ bib ]
[36]	Rudolf Kruse. chapter Wie geht man mit unscharfen Informationen um?: H. Hischer, pages 79-83. Modellbildung, Computer und Mathematikunterricht. Franzbecker Verlag, 2000. [ bib ]
[37]	Rudolf Kruse, Christian Borgelt, and Detlef Nauck. chapter Problems and Prospects in Fuzzy Data Analysis: Prospects, Tools and Applications, pages 95-109. Lecture Notes in Artificial Intelligence. Springer-Verlag, 2000. [ bib ]
[38]	Detlef Nauck and Rudolf Kruse. chapter NEFCLASS-J - A JAVA-Based Soft Computing Tool, pages 139-160. Intelligent Systems and Soft Computing: Prospects, Tools and App. Springer, 2000. [ bib ]
[39]	Christian Borgelt, Jörg Gebhardt, and Rudolf Kruse. chapter {F}uzzy-{M}ethoden in der {D}atenanalyse, pages 370-386. Vieweg, 1999. [ bib ]
[40]	Detlef Nauck and Rudolf Kruse. chapter Neuro-Fuzzy Methods in Fuzzy Rule Generation, pages 305-334. Fuzzy Sets in Approximate Reasoning and Information Systems 5. Kluwer Academic Publishers, 1999. [ bib ]
[41]	Frank Klawonn and Rudolf Kruse. volume 1 of Fuzzy Theory Systems, chapter Techniques and Applications of Control Systems Based on Knowledge-Based Interpolation. Academic Press, 1999. [ bib ]
[42]	S. Siekmann, Rudolf Kruse, and R. Neuneier. chapter Neuro-Fuzzy Methods For Data Analysis. Computing with Words in Information/Intelligent Systems 2. Physica-Verlag, 1999. [ bib ]
[43]	S. Siekmann, R. Neuneier, and Rudolf Kruse. chapter Neuro-Fuzzy Methods Applied to the German Stock Index DAX. Soft Computing in Financial Engineering. Physica-Verlag, 1999. [ bib ]
[44]	Christian Borgelt and Rudolf Kruse. chapter Probabilistic and Possibilistic Networks and How to Learn Them from Data: Soft Computing and Fuzzy-Neuro Integration with Applications, pages 403-426. NATO ASI Series F. Springer-Verlag, 1998. [ bib ]
[45]	Christian Borgelt, Jörg Gebhardt, and Rudolf Kruse. chapter Inference Methods. Institute of Physics Publishing, 1998. [ bib ]
[46]	Christian Borgelt, Jörg Gebhardt, and Rudolf Kruse. chapter Inference Methods. Handbook of Fuzzy Computation. Institute of Physics Publishing, 1998. [ bib ]
[47]	Detlef Nauck and Rudolf Kruse. chapter Neuro-fuzzy systems, pages 230-259. Computational Intelligence: Soft Computing and Fuzzy-Neuro Integ. Springer, 1998. [ bib ]
[48]	Detlef Nauck, G. Krell, Rudolf Kruse, and B. Michaelis. chapter Neural Networks in Applications NN'98, page 278. Otto-von-Guericke-Universität Magdeburg, Magdeburg, 1998. [ bib ]
[49]	Jörg Gebhardt, Rudolf Kruse, and María Ángeles Gil. chapter Fuzzy set-theoretic methods in statistics, pages 310-348. Handbook of Fuzzy-Sets. Kluwer Academic, 1998. [ bib ]
[50]	Christian Borgelt and Rudolf Kruse. chapter Attributauswahlmaße für die {I}nduktion von Entscheidungsbäumen: Ein Überblick, pages 77-98. Data Mining: Theoretische Aspekte und Anwendungen. Physica-Verlag, 1998. [ bib ]
[51]	Rudolf Kruse and Jörg Gebhardt. volume 3 of Handbook of Defeasible Reasoning and Uncertainty Management Syst, chapter Parallel combination of information sources, pages 329-375. Kluwer Academic, 1998. [ bib ]
[52]	Rudolf Kruse and Jörg Gebhardt. chapter Background to and perspectives on possibilistic graphical models, pages 397-415. Applications of Uncertainty Formalisms. Springer, 1998. [ bib ]
[53]	Rudolf Kruse, S. Siekmann, and R. Neuneier. chapter Neuro-Fuzzy Methods in Finance Applied to the German Stock Index DAX. Risk Measurement, Econometrics and Neural Networks, Contribution. Physica-Verlag, Springer, 1998. [ bib ]
[54]	Detlef Nauck and Rudolf Kruse. chapter Neuro-fuzzy systems. Handbook of Fuzzy Computation. Institute of Physics Publishing Ltd., 1998. [ bib ]
[55]	Rudolf Kruse and Detlef Nauck. chapter Neuro-fuzzy methods in fuzzy rule generation. Approximate Reasoning and Fuzzy Information Systems, Handbook of. Kluwer, 1998. [ bib ]
[56]	Rudolf Kruse and Detlef Nauck. chapter Fuzzy Systeme und Neuro-Fuzzy Systeme, pages 35-54. Computational Intelligence. Vieweg, 1998. [ bib ]
[57]	S. Siekmann, Rudolf Kruse, and R. Neuneier. chapter Tägliche Prognose des Deutschen Aktienindex DAX mit Neuro-Fuzzy-Methoden. Betriebswirtschaftliche Anwendungen des Soft Computings, Computa. Vieweg, 1998. [ bib ]
[58]	Andreas Nürnberger, Rudolf Kruse, and Detlef Nauck. chapter Neuro-fuzzy control based on the NEFCON model under MATLAB/SIMULINK. Soft Computing in Engineering Design and Manufacturing. Springer, 1997. [ bib ]
[59]	Christian Borgelt and Rudolf Kruse. chapter Probabilistic and Possibilistic Networks and How to Learn Them from Data. NATO ASI Series 7. Springer, 1997. [ bib ]
[60]	Detlef Nauck and Rudolf Kruse. chapter Neuro-fuzzy systems, pages 241-270. NATO ASI Series F. Springer, 1997. [ bib ]
[61]	Frank Klawonn, Rudolf Kruse, and Heiko Timm. chapter Fuzzy Shell Cluster Analysis, pages 105-120. Learning, Networks and Statistics. Springer, 1997. [ bib ]
[62]	Jörg Gebhardt and Rudolf Kruse. chapter Possibilistische graphische Modelle, pages 55-69. Modellbildung und Simulation im Umweltbereich. Vieweg, 1997. [ bib ]
[63]	Jörg Gebhardt and Rudolf Kruse. volume 1 of Handbook of Defeasible Reasoning and Uncertainty Management Syst, chapter Parallel combination of information sources. Kluwer, 1997. [ bib ]
[64]	Jörg Gebhardt, Rudolf Kruse, and María Ángeles Gil. volume 5 of Handbook on Fuzzy Sets, Kapitel 10, chapter Fuzzy-set theoretic methods in statistics. Kluwer, 1997. [ bib ]
[65]	Jörg Gebhardt, María Ángeles Gil, and Rudolf Kruse. volume 4 of International Handbook on Fuzzy Sets and Possibility Theory, chapter Concepts of fuzzy-valued statistics, page 35. Kluwer, 1997. [ bib ]
[66]	M. Schröder, R. Petersen, Frank Klawonn, and Rudolf Kruse. chapter Two paradigms of automotive fuzzy logic applications. Applications of Fuzzy Logic - Towards High Machine Intelligence. Prentice Hall, 1997. [ bib ]
[67]	Rudolf Kruse and Jörg Gebhardt. chapter Background and perspectives of possibilistic graphical models, pages 108-121. Qualitative and Quantitative Practical Reasoning: ECSQARU/FAPR'9. Springer, 1997. [ bib ]
[68]	Rudolf Kruse, Jörg Gebhardt, and María Ángeles Gil. chapter Fuzzy statistics. Encyclopedia of Electrical and Electronics Engineering. Wiley, 1997. [ bib ]
[69]	Rudolf Kruse and Philippe Smets. chapter The transferable belief model for belief representation. Uncertainty Management in Information Systems. Kluwer, 1997. [ bib ]
[70]	Rudolf Kruse and Detlef Nauck. chapter Fuzzy-Systeme und Soft Computing, pages 1-19. Fuzzy Set Theorie in betriebswirtschaftlichen Anwendungen. Franz Vahlen Verlag, 1997. [ bib ]
[71]	Jörg Gebhardt and Rudolf Kruse. chapter POSSINFER - A Software Tool for Possibilistic Inference, pages 407-418. Fuzzy Set Methods in Information Engineering - A Guided Tour of. Wiley, 1996. [ bib ]
[72]	Jörg Gebhardt and Rudolf Kruse. volume 112 of Learning from Data, Artificial Intelligence and Statistics 5, Le, chapter Learning Possibilistic Networks from Data, pages 143-153. Springer, 1996. [ bib ]
[73]	Rudolf Kruse. chapter Wissensbasierte Systeme. Wissenschaft als Zukunftskultur. TU Braunschweig, 1996. [ bib ]
[74]	Rudolf Kruse. chapter Beiträge zum Thema Fuzzy-Logik und Approximatives Schließen. Wörterbuch der Kognitionswissenschaft. Klett-Cotta-Verlag, 1996. [ bib ]
[75]	M. Schröder, Frank Klawonn, and Rudolf Kruse. chapter Sequential Optimization of Multidimensional Controllers Using Genetic Algorithms and Fuzzy Situations, pages 419-444. Genetic Algorithms and Soft Computing. Physica-Verlag, 1996. [ bib ]
[76]	Detlef Nauck and Rudolf Kruse. chapter Neuro-Fuzzy Systems Research and Applications outside of Japan (in japanischer Sprache), pages 108-134. Soft Computing Series. Asakura Publ. Verlag, 1996. [ bib ]
[77]	Detlef Nauck and Rudolf Kruse. chapter Fuzzy-Systeme and Soft Computing, pages 1-19. Fuzzy Set Theorie in betriebswirtschaftlichen Anwendungen. Franz Vahlen Verlag, 1996. [ bib ]
[78]	Detlef Nauck and Rudolf Kruse. chapter Designing Neuro-Fuzzy Systems Through Backpropagation: Paradigms and Practice. Kluwer, 1996. [ bib ]
[79]	Philippe Smets and Rudolf Kruse. chapter The Transferable Belief Model for Belief Representation: From Needs to Solutions, pages 343-368. Kluwer Academic Publishers, 1996. [ bib ]
[80]	Frank Klawonn and Rudolf Kruse. chapter Clustering Methods in Fuzzy Control, pages 195-202. From Data to Knowledge: Theoretical and Practical Aspects of Cla. Springer, 1995. [ bib ]
[81]	Jörg Gebhardt and Rudolf Kruse. chapter Some Notes on Possibilistic Learning, pages 23-32. Mathematical and Statistical Methods in Artificial Intelligence. Springer, 1995. [ bib ]
[82]	Frank Klawonn and Rudolf Kruse. chapter Derivation of Fuzzy Classificatio Rules from Multidimensional Data, pages 90-94. Advances in Intelligent Data Analysis. The International Institute for Advanced Studies in Systems Research and Cybernetics, 1995. [ bib ]
[83]	Rudolf Kruse. chapter Fuzzy-Systeme, pages 208-212. Kleines Wörterbuch der Informatik. Oldenbourg Verlag, 1995. [ bib ]
[84]	Detlef Nauck and Rudolf Kruse. chapter Designing Neuro-Fuzzy Systems Through Backpropagation. Fuzzy Modelling: Paradigms and Practice. Kluwer, 1995. [ bib ]
[85]	Rudolf Kruse. chapter New Approaches in Classification and Data Analysis, pages 463-469. Springer, 1994. [ bib ]
[86]	Rudolf Kruse and Frank Klawonn. chapter Mass Distributions on L-Fuzzy Sets and Families of Frames of Discernment, pages 239-250. Advances in Dempster-ShaferTheory of Evidence. Wiley, 1994. [ bib ]
[87]	Detlef Nauck. chapter Building Neural Fuzzy Controllers with {NEFCON-I}, pages 141-151. Vieweg, 1994. [ bib ]
[88]	Detlef Nauck. chapter Fuzzy Neuro Systems: An Overview, pages 91-107. Vieweg, 1994. [ bib ]
[89]	Frank Klawonn, Jörg Gebhardt, and Rudolf Kruse. chapter The Context Model from the Viewpoint of Logic, pages 288-295. Operations research Proceedings 1992. Springer, 1993. [ bib ]
[90]	Rudolf Kruse. chapter The strong law of large numbers for fuzzy random variables, pages 272-276. Readings in Fuzzy Sets for Intelligent Systems. Morgan Kaufmann, 1993. [ bib ]
[91]	Rudolf Kruse and Jörg Gebhardt. chapter Fuzzy Probability Theory and Fuzzy Statistics, pages 605-610. SoftstatÂ93: Advances in Statistical Software. Gustav Fischer Verlag, 1993. [ bib ]
[92]	Rudolf Kruse, Jörg Gebhardt, and Frank Klawonn. chapter Numerical and Logical Approaches to Fuzzy Set Theory by the Context Model, pages 365-376. Theory and Decision Library, Series D. Kluwer, 1993. [ bib ]
[93]	Detlef Nauck, Frank Klawonn, Rudolf Kruse, and U. Lohs. chapter Reasoning under Uncertainty with Temporal Aspects, pages 572-580. Industrial and Engineering Application of Artificial Intelligenc. Springer, 1992. [ bib ]
[94]	Frank Klawonn and Rudolf Kruse. chapter Numerische Methoden zur Verarbeitung unsicherer Informationen in wissensbasierten Systemen. Konzeption und Einsatz von Umweltinformationssystemen, pages 169-176. Informatik-Fachberichte. Springer, 1992. [ bib ]
[95]	Rudolf Kruse. chapter On the Semantic Foundations of Fuzzy Probability and Fuzzy Statistics, pages 131-135. Modeling Uncertain Data. Akademie Verlag, 1992. [ bib ]
[96]	Rudolf Kruse and E. Schwecke. chapter On the combination of information sources, pages 24-30. Lecture Notes in Computer Sciences 521. Springer, 1992. [ bib ]
[97]	Rudolf Kruse and K. D. Meyer. chapter On Calculating the Covariance in the Presence of Vague Data. Progress in Fuzzy Sets and Systems. Kluwer, 1989. [ bib ]
[98]	Rudolf Kruse and K. D. Meyer. chapter Confidence Intervals for the Parameters of a Linguistic Random Variable, pages 113-123. Combining Fuzzy Imprecision with Probabilistic Uncertainty in De. Springer, 1988. [ bib ]
[99]	Rudolf Kruse, Jörg Gebhardt, and J. Knop. volume 60 of Methods of Operations Research, chapter On a Dialog System for Modelling and Statistical Analysis of Linguistic Data. Anton Hain Verlag, 1988. [ bib ]
[100]	Rudolf Kruse, J. Freckmann, and M. Eike. volume 1 of Fortschritte der Statistik Software, chapter Ein Programmsystem für statistische Untersuchungen mit unscharfen Daten. Gustav Fischer Verlag, 1988. [ bib ]
[101]	Rudolf Kruse and E. Schwecke. volume 09, chapter Propagation von Unschärfe. TU Braunschweig, 1987. [ bib ]
[102]	Rudolf Kruse. chapter Characteristics of Linguistic Random Variables, pages 219-230. Topics in the Mathematics of Fuzzy Systems. TÜV Rheinland, 1986. [ bib ]

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