Publikationen von Rudolf Kruse

Bücher

R. Kruse und K. Meyer, Statistics with Vague Data, Reidel, Dordrecht, 1987.
R. Kruse, E. Schwecke und J. Heinsohn, Uncertainty and Vagueness in Knowledge-Based Systems: Numerical Methods, Springer-Verlag, Berlin, 1991.
M. Clarke, R. Kruse und S. Moral (Herausgeber), Symbolic and Quantitative Approaches to Uncertainty, Springer Verlag, Berlin, 1993.
R. Kruse, J. Gebhardt und F. Klawonn, Foundations of Fuzzy Systems, Wiley, New York, Chichester, et al., 1994.
R. Kruse, J. Gebhardt und R. Palm (Herausgeber), Fuzzy Systems in Computer Science, Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig, Wiesbaden, 1994.
D. Nauck, F. Klawonn und R. Kruse, Neuronale Netze und Fuzzy-Systeme, Vieweg, Wiesbaden, 1994.
R. Kruse, J. Gebhardt und F. Klawonn, Fuzzy-Systeme, 2. erweiterte Auflage, Teubner, Stuttgart, 1995.
F. Höppner, F. Klawonn und R. Kruse, Fuzzy-Clusteranalyse, Vieweg, Braunschweig, 1996.
D. Nauck, F. Klawonn und R. Kruse, Neuronale Netze und Fuzzy-Systeme, 2. erweiterte Auflage, Vieweg, Wiesbaden, 1996.
D. Gabbay, R. Kruse, A. Nonnengart und H. Ohlbach (Herausgeber), Qualitative and Quantitative Practical Reasoning: ECSQARU/FAPR'97, Lecture Notes in Artificial Intelligence, 1244, Springer, Berlin, 1997.
D. Nauck, F. Klawonn und R. Kruse, Foundations of Neuro-Fuzzy Systems, Wiley, Chichester, 1997.
G. Della Riccia, H. Lenz und R. Kruse (Herausgeber), Learning, Networks and Statistics, Springer, New York, Berlin, 1997.
J. Dassow und R. Kruse (Herausgeber), Informatik'98: Informatik zwischen Bild und Sprache, Springer, Berlin, 1998.
R. Kruse und G. Saake (Herausgeber), Data Mining und Data Warehousing, Universität Magdeburg, FIN, Preprint Nr. 14, 1998.
D. Nauck, G. Krell, R. Kruse und B. Michaelis (Herausgeber), Neural Networks in Applications NN'98. Proceedings of the Third International Conference, Otto-von-Guericke-Universität Magdeburg, Magdeburg, 1998.
F. Höppner, F. Klawonn, R. Kruse und T. Runkler, Fuzzy Cluster Analysis, Wiley, Chichester, 280, 1999.
G. Krell, B. Michaelis, D. Nauck und R. Kruse (Herausgeber), Neural Networks in Applications NN'99: Proceedings of the Fourth International Workshop, Logisch GmbH, Magdeburg, 1999.
G. Della Riccia, R. Kruse und H. Lenz (Herausgeber), Computational Intelligence in Data Mining, Springer, New York, 2000.
D. Gabbay und R. Kruse, Abductive Reasoning and Learning, Series: Handbook of Defeasible Reasoning and Uncertainty Management Systems, Kluwer, Dordrecht, Netherlands, 2000.
G. Della Riccia, H. Lenz und R. Kruse, Data Fusion and Perception, Springer, Wien, 2001.
I. Gerdes, F. Klawonn, R. Kruse und M. Schröder, Evolutionäre Algorithmen, Vieweg Verlag, 2001.
F. Klawonn, R. Kruse und K. Michels, Fuzzy Regelung, Hanser, 2001.

Buchbeiträge

J. Gebhardt und R. Kruse, Reasoning and Learning in Probabilistic and Possibilistic Networks: An Overview, In: Machine Learning: ECML-95, Springer-Verlag, Berlin, 912, 3-16, 1995.
J. Gebhardt und R. Kruse, POSSINFER- A Software Tool for Possibilistic Inference, In: Fuzzy Set Methods in Information Engineering: A Guided Tour of Applications, John Wiley & Sons, Inc., New York, Chichester et al., 1995.
F. Klawonn und R. Kruse, Clustering Methods in Fuzzy Control, In: From Data to Knowledge: Theoretical and Practical Aspects of Classification, Data Analysis and Knowledge Organization, Springer-Verlag, Berlin, 195-202, 1995.
D. Nauck und R. Kruse, NEFCLASS - A Neuro-Fuzzy Approach for the Classification of Data, In: Applied Computing 1995. Proc. 1995 ACM Symposium on Applied Computing, Nashville, Feb. 26-28, ACM Press, New York, 461-465, 1995.
J. Gebhardt und R. Kruse, Possibilistische graphische Modelle, In: Modellbildung und Simulation im Umweltbereich, Vieweg, Wiesbaden, 1996.
D. Nauck und R. Kruse, Neuro-Fuzzy Systems Research and Applications outside of Japan (in Japanese), In: Fuzzy-Neural Networks (in Japanese), Asakura Publ., Tokyo, 108-134, 1996.
D. Nauck und R. Kruse, Designing Neuro-Fuzzy Systems Through Backpropagation, In: Fuzzy Modelling: Paradigms and Practice, Kluwer, Boston, 203-228, 1996.
J. Gebhardt und R. Kruse, Possibilistic Graphical Models, In: Modellbildung und Simulation im Umweltbereich, Vieweg, Wiesbaden, 55-69, 1997.
J. Gebhardt und R. Kruse, Background and perspectives of possibilistic graphical models, In: Qualitative and Quantitative Practical Reasoning: ECSQARU/FAPR'97, Lecture Notes in Artificial Intelligence, 1244, Springer, Berlin, 108-121, 1997.
F. Klawonn, R. Kruse und H. Timm, Fuzzy Shell Cluster Analysis, In: Learning, Networks and Statistics, Springer, New York, Berlin, 105-120, 1997.
R. Kruse und F. Klawonn, Techniques and Applications of Control Systems Based on Knowledge Based Interpolation, In: Fuzzy Theory: Systems, Techniques and Application, Academic Press, San Diego, 1997.
D. Nauck und R. Kruse, Fuzzy-Systeme und Soft Computing, In: Fuzzy Set Theorie in betriebswirtschaftlichen Anwendungen, Verlag Franz Vahlen, 1-19, 1997.
M. Schroeder, R. Petersen, F. Klawonn und R. Kruse, Two Paradigms of Automotive Fuzzy Logic Applications, In: Applications of Fuzzy Logic - Towards High Machine Intelligence Quotient Systems, Prentice Hall, Upper Saddle River, 1997.
P. Smets und R. Kruse, The Transferable Belief Model for Belief Representation, In: Uncertainty Management in Information Systems, Kluwer, Dordrecht, 1997.
C. Borgelt und R. Kruse, Probabilistic and Possibilistic Networks and How to Learn Them from Data, In: Soft Computing and Its Applications, Springer, New York, NY, USA, 403-426, 1998.
C. Borgelt und R. Kruse, Attributauswahlmaße für die Induktion von Entscheidungsbäumen: Ein Überblick, In: Data Mining: Theoretische Aspekte und Anwendungen, Physica-Verlag, Heidelberg, Germany, 77-98, 1998.
C. Borgelt, J. Gebhardt und R. Kruse, Chapter F1.2: Inference Methods, In: Handbook of Fuzzy Computation, Institute of Physics Publishing Ltd, Philadelphia, PA, 1998.
J. Gebhardt, M. Gil und R. Kruse, Fuzzy Set-Theoretic Methods in Statistics, In: Handbook of Fuzzy-Sets, Vol. Fuzzy Sets in Decision Analysis, Operations Research and Statistics, Kluwer Academic, Boston, 310-348, 1998.
J. Gebhardt und R. Kruse, Background to and Perspectives on Possibilistic Graphical Models, In: Applications of Uncertainty Formalisms, Springer, Heidelberg, 397-415, 1998.
J. Gebhardt und R. Kruse, Parallel combination of information sources, In: Handbook of Defeasible Reasoning and Uncertainty Management Systems, Vol.3: Updating Uncertain Information, Kluwer Academic Publishers, Dordrecht, 329-375, 1998.
R. Kruse und D. Nauck, Neuro-Fuzzy Systems, In: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Application, Springer, Berlin, 230-259, 1998.
R. Kruse, S. Siekmann, R. Neuneier und H. Zimmermann, Neuro-Fuzzy Methods in Finance Applied to the German Stock Index DAX, In: Risk Measurement, Econometrics and Neural Networks, Physica-Verlag, Springer, Heidelberg, 1998.
D. Nauck und R. Kruse, Neuro-Fuzzy Systems, In: Handbook of Fuzzy Computation, E. Ruspini, P. Bonissone, and W. Pedrycz, Philadelphia, PA, 1998.
D. Nauck, A. Nürnberger und R. Kruse, Neuro-Fuzzy Classification, In: Advances in Data Science and Classification, Springer-Verlag, Berlin, 287-294, 1998.
D. Nauck und R. Kruse, Fuzzy Systeme und Neuro-Fuzzy Systeme, In: Betriebswirtschaftliche Anwendungen des Softcomputings, Verlag Vieweg, Wiesbaden, 35-54, 1998.
S. Siekmann, R. Kruse, R. Neuneier und H. Zimmermann, Tägliche Prognose des Deutschen Aktienindex DAX mit Neuro-Fuzzy Methoden, In: Betriebswirtschaftliche Anwendungen des Soft Computings, Verlag Vieweg, Wiesbaden, 1998.
C. Borgelt, J. Gebhardt und R. Kruse, Fuzzy-Methoden in der Datenanalyse, In: Fuzzy Theorie und Stochastik. Modelle und Anwendungen in der Diskussion, Vieweg, Braunschweig, 370-386, 1999.
R. Kruse, J. Gebhardt und M. Gil, Fuzzy Statistics, In: Encyclopedia of Electrical and Electronics Engineering, Wiley, New York, 1999.
D. Nauck und R. Kruse, Neuro-Fuzzy Methods in Fuzzy Rule Generation, In: Fuzzy Sets in Approximate Reasoning and Information Systems, Kluwer Academic Publishers, Norwell, MA, 305-334, 1999.
S. Siekmann, R. Neuneier, H. Zimmermann und R. Kruse, Neuro-Fuzzy Methods Applied to the German Stock Index DAX, In: Soft Computing in Financial Engineering, Physica-Verlag, Heidelberg, , 1999.
S. Siekmann, R. Kruse, R. Neuneier und H. Zimmermann, Neuro-Fuzzy Methods For Data Analysis, In: Computing with Words in Information/Intelligent Systems 2, Physica-Verlag, 34, 1999.
C. Borgelt, J. Gebhardt und R. Kruse, Possibilistic Graphical Models, In: Computational Intelligence in Data Mining, Springer, Wien, 51-68, 2000.
C. Borgelt und R. Kruse, Probabilistic Networks for Abductive Inference, In: Abductive Reasoning and Learning, Kluwer, Dordrecht, Netherlands, 4, 281-314, 2000.
C. Borgelt, H. Timm und R. Kruse, Unsicheres und vages Wissen, In: Einführung in die Künstliche Intelligenz, Addison-Wesley, Bonn, Germany, 291-347, 2000.
R. Kruse, C. Borgelt und D. Nauck, Problems and Prospects in Fuzzy Data Analysis, In: Intelligent Systems and Soft Computing: Prospects, Tools and Applications, Springer, Berlin, 96-109, 2000.
D. Nauck und R. Kruse, NEFCLASS-J - A JAVA-Based Soft Computing Tool, In: Intelligent Systems and Soft Computing: Prospects, Tools and Applications, Springer, Berlin, 139-160, 2000.
C. Borgelt, H. Timm und R. Kruse, Probabilistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers, In: Computational Intelligence in Theory and Practice, Physica-Verlag, Heidelberg, Germany, 121--138, 2001.
J. Grabmeier, J. Buhmann, R. Kruse und H. Timm, Segmentierende und clusterbildende Methoden, In: Handbuch Data Mining im Marketing. Knowledge Discovery in Marketing Databases, Vieweg, Wiesbaden, 2001.
A. Klose, A. Nürnberger, D. Nauck und R. Kruse, Data Mining with Neuro-Fuzzy Models, In: Data Mining and Computational Intelligence, Physica-Verlag, 1-36, 2001.
D. Nauck und R. Kruse, Information Fusion in Neuro-Fuzzy Systems, In: Data Fusion and Perception, Springer, Wien, 77--90, 2001.
A. Nürnberger, W. Pedrycz und R. Kruse, Classification: Neural Net Approaches, In: Handbook of Data Mining and Knowledge Discovery, Oxford University Press, 2002.

Artikel in Zeitschriften

D. Nauck, F. Klawonn und R. Kruse, Fuzzy Sets, Fuzzy Controllers, and Neural Networks, In: Wissenschaftliche Zeitschrift der Humboldt-Universität zu Berlin, R. Medizin, 41(4), 99-120, 1992.
F. Klawonn und R. Kruse, Equality Relations as a Basis for Fuzzy Control, In: Fuzzy Sets and Systems, 54, 147-156, 1993.
F. Klawonn, J. Gebhardt und R. Kruse, Fuzzy Control on the Basis of Equality Relations with an Example from Idle Speed Control, In: IEEE Trans. Fuzzy Systems, 3(3), 336-350, 1995.
R. Kruse, D. Nauck und F. Klawonn, Neuronale Fuzzy-Systeme, In: Spektrum der Wissenschaft, Juni(Heft 6/1995), 34-41, 1995.
J. Gebhardt und R. Kruse, Automated Construction of Possibilistic Networks from Data, In: J. of Applied Mathematics and Computer Science, 6(3), 101-136, 1996.
R. Kruse, Fuzzy-Systeme - Positive Aspekte der Unvollkommenheit, In: Informatik Spektrum, 19(1), 4-11, 1996.
C. Borgelt und R. Kruse, Probabilistic Networks and Inferred Causation, In: Cardozo Law Review, Cardozo School of Law, Yeshiva University, New York, NY, USA, 18(6), 2001-2035, 1997.
F. Klawonn und R. Kruse, Constructing a Fuzzy Controller from Data, In: Fuzzy Sets and Systems, 85, 177-193, 1997.
R. Kruse, F. Klawonn und D. Nauck, Erlernen von Fuzzy-Regeln, In: Informatik, Forschung und Entwicklung, 12(1), 2-6, 1997.
R. Kruse, D. Nauck und F. Klawonn, Neuronale Fuzzy-Systeme, In: Spektrum der Wissenschaft, Dossier 4/97: Kopf oder Computer, 92-99, 1997.
D. Nauck und R. Kruse, A Neuro-Fuzzy Method to Learn Fuzzy Classification Rules from Data, In: Fuzzy Sets and Systems, 89, 277-288, 1997.
T. Sutter und R. Kruse, Fuzzy Queries in Conventional Databases for Succession Planning, In: Lectures on Fuzziness and Databases, 5th Series, University of Ghent, Ghent, 1997.
C. Borgelt, R. Kruse und G. Lindner, Lernen probabilistischer and possibilistischer Netze aus Daten: Theorie und Anwendung, In: KI-Themenheft Data Mining, 11-17, 1998.
R. Kruse und J. Gebhardt, Book-Review: Expert Systems and Probabilistic Network Models, E. Castillo et al, Springer-Verlag, 1997, In: Mathematical Methods of Operations Research, 337-339, 1998.
R. Kruse, Intelligente Systeme: Wie geht man mit unvollkommenen Informationen um? Antrittsvorlesung an der Fakultät für Informatik, In: Universitätsschriften, Universität Magdeburg, 107-122, 1998.
D. Nauck und R. Kruse, NEFCLASS-X - A Soft Computing Tool to Build Readable Fuzzy Classifiers, In: BT Technology Journal, 16(3), 180-190, 1998.
R. Kruse, Neuronale Fuzzy-Systeme in der Datenanalyse, In: Magdeburger Wissenschaftsjournal, 2, 1999.
D. Nauck und R. Kruse, Neuro-Fuzzy Systems for Function Approximation, In: Fuzzy Sets and Systems, 101, 261-271, 1999.
D. Nauck und R. Kruse, Obtaining Interpretable Fuzzy Classification Rules from Medical Data, In: Artificial Intelligence in Medicine, 16, 149-169, 1999.
A. Nürnberger, D. Nauck und R. Kruse, Neuro-Fuzzy Control Based on the NEFCON-Model, In: Soft Computing, Springer, Berlin, 2(4), 182-186, 1999.
A. Klose, A. Nürnberger, R. Kruse, G. Hartmann und M. Richards, Interactive Text Retrieval Based on Document Similarities, In: Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy, Elsevier Science, Amsterdam, 25(8), 649-654, 2000.
A. Appriou, A. Ayoun, S. Benferhat, P. Besnard, I. Bloch, L. Cholvy, R. Cooke, F. Cuppens, D. Dubois, H. Fargier, M. Grabisch, A. Hunter, R. Kruse, J. Lang, S. Moral, H. Prade, A. Saffiotti, P. Smets und C. Sossai, Fusion: General Concepts and Characteristics, In: Intl. J. of Intelligent Systems, 16(10), 1107--1134, 2001.
C. Borgelt und R. Kruse, Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen, In: Künstliche Intelligenz, Themenheft Unsicherheit und Vagheit, arendtap, Bremen, Germany, 15(3), 5--8, 2001.
A. Nürnberger, A. Radetzky und R. Kruse, Using Recurrent Neuro-Fuzzy Techniques for the Identification and Simulation of Dynamic Systems, In: Neurocomputing, 36, 123-147, 2001.
S. Siekmann, R. Kruse, J. Gebhardt, F. Overbeek und R. Cooke, Information Fusion in the Context of Stock Index Prediction, In: International Journal of Intelligent Systems, 16(11), 1285-1298, 2001.
J. Marx-Gómez, C. Rautenstrauch, A. Nürnberger und R. Kruse, Neuro-fuzzy approach to forecast returns of scrapped products to recycling and remanufacturing, In: Knowledge-Based Systems, 15(2), 119-128, 2002.

Artikel in Konferenzproceedings

R. Kruse, D. Nauck und F. Klawonn, Reasoning with Mass Distributions, In: Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Mateo, 182-187, 1991.
J. Gebhardt, R. Kruse und D. Nauck, Information Compression in the Context Model, In: Proc. Workshop of the North American Fuzzy Information Processing Society (NAFIPS92), Puerto Vallarta, 296-303, 1992.
J. Gebhardt, R. Kruse und D. Nauck, Interpretation und Analyse von Fuzzy Daten, In: Operations Research Proc. DGOR 91, Springer-Verlag, 481-487, 1992.
D. Nauck und R. Kruse, A Neural Fuzzy Controller Learning by Fuzzy Error Propagation, In: Proc. Workshop of the North American Fuzzy Information Processing Society (NAFIPS92), Puerto Vallarta, 388-397, 1992.
D. Nauck und R. Kruse, Interpreting Changes in the Fuzzy Sets of a Self-Adaptive Neural Fuzzy Controller, In: Proc. Second Int. Workshop on Industrial Applications of Fuzzy Control and Intelligent Systems (IFIS'92), College Station, Texas, 146-152, 1992.
D. Nauck, F. Klawonn, R. Kruse und U. Lohs, Reasoning under Uncertainty with Temporal Aspects, In: Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Springer-Verlag, Berlin, 572-580, 1992.
J. Gebhardt, R. Kruse, C. Otte und M. Schröder, A Fuzzy Idle Speed Controller, In: Proc. 26th Int. Symp. on Automotive Technology and Automation, Aachen, 459-463, 1993.
F. Klawonn und R. Kruse, Fuzzy Control as Interpolation on the Basis of Equality Relations, In: Proc. IEEE Int. Conf. on Fuzzy Systems 1993, San Francisco, 1125-1130, 1993.
D. Nauck und R. Kruse, A Fuzzy Neural Network Learning Fuzzy Control Rules and Membership Functions by Fuzzy Error Backpropagation, In: Proc. IEEE Int. Conf. on Neural Networks 1993, San Francisco, 1022-1027, 1993.
D. Nauck, F. Klawonn und R. Kruse, Combining Neural Networks and Fuzzy Controllers, In: Fuzzy Logic in Artificial Intelligence (FLAI93), Springer-Verlag, Berlin, 35-46, 1993.
J. Gebhardt und R. Kruse, Focusing and Learning in Possibilistic Dependencyy Networks, In: Postproceedings of 2nd Gauss Symposium (Conference B: Statistical Sciences), De Gruyter, Berlin, 1994.
J. Gebhardt und R. Kruse, Learning Possibilistic Networks from Data, In: Proc. of Fifth Int. Workshop on Artificial Intelligence and Statistics, Fort Lauderdale, Florida, 233-244, 1994.
J. Kinzel, F. Klawonn und R. Kruse, Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers, In: Proc. IEEE Conference on Evolutionary Computation, IEEE, Orlando, FL, 28-33, 1994.
D. Nauck und R. Kruse, NEFCON-I: An X-Window Based Simulator for Neural Fuzzy Controllers, In: Proc. IEEE Int. Conf. Neural Networks 1994 at IEEE WCCI'94, Orlando, FL, 1638-1643, 1994.
D. Nauck und R. Kruse, Choosing Appropriate Neuro-Fuzzy Models, In: Proc. Second European Congress on Fuzzy and Intelligent Technologies (EUFIT94), Aachen, 552-557, 1994.
F. Klawonn, D. Nauck und R. Kruse, Generating Rules from Data by Fuzzy and Neuro-Fuzzy Methods, In: Proc. Fuzzy-Neuro-Systeme'95, Darmstadt, 223-230, 1995.
F. Klawonn und R. Kruse, Automatic Generation of Fuzzy Controllers by Fuzzy Clustering, In: Proc. 1995 IEEE Intern. Conf. on Systems, Man and Cybernetics, Vancouver, 2040-2045, 1995.
R. Kruse und D. Nauck, Learning Methods for Fuzzy Systems, In: Proc. Fuzzy-Neuro-Systeme'95, Darmstadt, 7-22, 1995.
R. Kruse und D. Nauck, Neuronale Fuzzy-Systeme, In: Konnektionismus und Neuronale Netze. Beiträge zur Herbstschule HeKoNN95, GMD-Forschungszentrum Informationstechnik GmbH, Münster/Westf.(272), 1-10, 1995.
D. Nauck, R. Kruse und R. Stellmach, New Learning Algorithms for the Neuro-Fuzzy Environment NEFCON-I, In: Proc. Neuro-Fuzzy-Systeme'95, Darmstadt, 357-364, 1995.
C. Borgelt, J. Gebhardt und R. Kruse, Concepts for Probabilistic and Possibilistic Induction of Decision Trees on Real World Data, In: Proc. 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96), Verlag Mainz, Aachen, Germany, 3, 1556-1560, 1996.
J. Gebhardt und R. Kruse, Tightest Hypertree Decomposition of Multivariate Possibility Distributions, In: Proc. Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'96), Granada, 923-927, 1996.
R. Kruse und D. Nauck, Neuronale Fuzzy-Systeme, In: Konnektionismus und Neuronale Netze. Beiträge zur Herbstschule HeKoNN96, GMD-Forschungszentrum Informationstechnik GmbH, Münster/Westf.( ), 1-10, 1996.
D. Nauck und R. Kruse, Neuro-Fuzzy Classification with NEFCLASS, In: Operations Research Proceedings 1995, Springer-Verlag, Berlin, 294-299, 1996.
D. Nauck, U. Nauck und R. Kruse, Generating Classification Rules with the Neuro-Fuzzy System NEFCLASS, In: Proc. Biennial Conference of the North American Fuzzy Information Processing Society NAFIPS'96, Berkeley, CA, , 1996.
C. Borgelt und R. Kruse, Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures, In: Proc. 1st International Joint Conference on Qualitative and Quantitative Practical Reasoning (ECSQARU/FAPR'97), Bad Honnef, Germany, 71-85, 1997.
C. Borgelt und R. Kruse, Evaluation Measures for Learning Probabilistic and Possibilistic Networks, In: Proc. 6th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'97), Barcelona, Spain, 2, 669-676, 1997.
R. Kruse und C. Borgelt, Learning Probabilistic and Possibilistic Networks: Theory and Applications, In: Proc. 7th International Fuzzy Systems Association World Congress (IFSA'97), Prague, Czech Republic, 1, 19-24, 1997.
R. Kruse, S. Siekmann, R. Neuneier und H. Zimmermann, Neuro-Fuzzy Methods in Finance Applied to The German Stock Index DAX, In: Tagungsband des 6. Karlsruher ökonometrie-Workshops, Karlsruhe, 1997.
D. Nauck und R. Kruse, What are Neuro-Fuzzy Classifiers?, In: Proc. Seventh International Fuzzy Systems Association World Congress IFSA'97, Prague, III, 228-233, 1997.
D. Nauck und R. Kruse, New Learning Strategies for NEFCLASS, In: Proc. Seventh International Fuzzy Systems Association World Congress IFSA'97, Prague, IV, 50-55, 1997.
D. Nauck und R. Kruse, Neuro-Fuzzy Systems for Function Approximation, In: Fuzzy-Neuro-Systeme'97 - Computational Intelligence. Proc. 4th Int. Workshop Fuzzy-Neuro-Systeme '97 (FNS'97) in Soest, Germany, infix, Sankt Augustin, 316-323, 1997.
D. Nauck und R. Kruse, Function Approximation by NEFPROX, In: Proc. Second European Workshop on Fuzzy Decision Analysis and Neural Networks for Management, Planning, and Optimization (EFDAN'97), Dortmund, 160-169, 1997.
A. Nürnberger, D. Nauck und R. Kruse, Neuro-Fuzzy-Regelung mit NEFCON unter MATLAB/SIMULINK, In: Proc. Neuronale Netze in Ingenieuranwendungen, 2. Internationaler Workshop, Stuttgart, Germany, 55-66, 1997.
A. Nürnberger, D. Nauck und R. Kruse, Neuro-Fuzzy Control Based on the NEFCON Model under MATLAB/SIMULINK, In: Chawdry, Pravir and Roy, Rajkumar and Pant, R. K., Soft Computing in Engineering Design and Manufacturing, Proc. of the 2nd On-line World Conference on Soft Computing in Engineering Design and Manufacturing (WSC2), Springer-Verlag, London, 393-400, 1997.
A. Nürnberger, D. Nauck, R. Kruse und L. Merz, A Neuro-Fuzzy Development Tool for Fuzzy Controllers under MATLAB/SIMULINK, In: Proc. 5th European Congress on Intelligent Techniques and Soft Computing (EUFIT'97), Aachen, 1029-1033, 1997.
S. Siekmann, R. Kruse, R. Neuneier und H. Zimmermann, Neuro-Fuzzy in der Finanzanalyse, In: Proc. Neuronale Netze in Ingenieuranwendungen, 2. International Workshop, Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen, Universität Stuttgart, 67-78, 1997.
S. Siekmann, R. Kruse, R. Neuneier und H. Zimmermann, Tägliche Prognose des Deutschen Aktienindex DAX mit Neuro-Fuzzy Methoden, In: Tagungsband zum 3.Göttinger Symposium Softcomputing, 7-18, 1997.
S. Siekmann, R. Kruse, R. Neuneier und H. Zimmermann, Advanced Neuro-Fuzzy Techniques Applied To The German Stock Index DAX, In: Proc. 2nd European Workshop on Fuzzy Decision Analysis and Neural Networks, EFDAN'97, 1997.
H. Timm, R. Kruse und F. Klawonn, Flexible Fuzzy Clustering for Data Analysis as a Plug-In Library for Data Engine, In: Proc. AFN Jahrestagung 1997 (AFN'97), Magdeburg, Germany, 91-96, 1997.
H. Timm, R. Kruse, D. Nauck und F. Klawonn, Flexible Fuzzy Clustering for Data Analysis as a Plug-In Library for Data Engine, In: Proc. 1st International Data Analysis Symposium, Aachen, Germany, 67-71, 1997.
C. Borgelt und R. Kruse, Efficient Maximum Projection of Database-Induced Multivariate Possibility Distributions, In: Proc. 7th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'98), Anchorage, AK, USA, 1, 663-668, 1998.
C. Borgelt und R. Kruse, Possibilistic Networks with Local Structure, In: Proc. 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98), Aachen, Germany, 1, 634-638, 1998.
C. Borgelt, J. Gebhardt und R. Kruse, Possibilistic Graphical Models, In: Proc. ISSEK'98 (Udine, Italy), 1998.
J. Gebhardt und R. Kruse, Information Source Modelling for Consistent Data Fusion, In: Proc. of the International Conference on Multisource-Multisensor Information Fusion (FUSION'98), CSREA Press, Las Vegas, Nevada, USA, I, 27-34, 1998.
R. Kruse und A. Nürnberger, Learning Methods for Fuzzy Systems, In: Non-Linear Electromagnetic Systems: Advanced Techniques and Mathematical Methods, Proc. of the 8th International Symposium on Non-Linear Electromagnetic Systems 1997 (ISEM’97), IOS-Press, Amsterdam, 367-372, 1998.
R. Kruse und C. Borgelt, Neuere Entwicklungen im Data Mining mit Bayesschen Netzen, In: Seminar zu Anwendungen von Fuzzy-Technologien und Neuronalen Netzen, FH Wernigerode, 1-7, 1998.
R. Kruse und C. Borgelt, Possibilistic Networks: Data Mining Applications, In: Proc. 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98), Aachen, Germany, 1, 603-607, 1998.
R. Kruse und C. Borgelt, Data Mining with Graphical Models, In: Proc. Computer Science for Environmental Protection (12th Int. Symp. ``Informatik für den Umweltschutz'', Bremen 1998), Marburg, Germany, 1, 17-30, 1998.
D. Nauck und R. Kruse, How the Learning of Rule Weights Affects the Interpretability of Fuzzy Systems, In: Proc. 7th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'98), Anchorage, 1235-1240, 1998.
D. Nauck und R. Kruse, A Neuro-Fuzzy Approach to Obtain Interpretable Fuzzy Systems for Function Approximation, In: Proc. 7th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'98), Anchorage, 1106-1111, 1998.
D. Nauck und R. Kruse, Rule Weights in Fuzzy Systems, In: Fuzzy-Neuro Systems '98 - Computational Intelligence, Proc. 5th International Workshop (FNS'98), Munich, 1998.
A. Nürnberger und R. Kruse, Neuro-Fuzzy Techniques under MATLAB/SIMULINK Applied to a Real Plant, In: Proc. IEEE International Conference on Fuzzy Systems 1998 (FUZZ-IEEE '98), Anchorage, Alaska, 572-576, 1998.
A. Nürnberger, A. Radetzky und R. Kruse, Modelling and Simulating a Time-Dependent Physical System Using Fuzzy Techniques and a Recurrent Neural Network, In: Fuzzy-Neuro Systems '98 - Computational Intelligence, Proc. 5th International Workshop (FNS'98), infix, München, Germany, 306-313, 1998.
A. Nürnberger, A. Radetzky und R. Kruse, A Problem Specific Recurrent Neural Network for the Description and Simulation of Dynamic Spring Models, In: Proc. IEEE International Joint Conference on Neural Networks 1998 (IJCNN '98), Anchorage, Alaska, 468-473, 1998.
A. Radetzky, A. Nürnberger, D. Pretschner und R. Kruse, The Simulation of Elastic Tissues in Virtual Laparoscopy using Neural Networks, In: Proc. Neural Networks in Applications (NN'98), University of Magdeburg, Magdeburg, Germany, 167-174, 1998.
H. Timm und R. Kruse, Fuzzy-Clusteranalyse mit DataEngine, In: Proc. 4. DataEngine User Meeting, Aachen, Germany, , 1998.
H. Timm und R. Kruse, Fuzzy Cluster Analysis with Missing Values, In: Proc. 17th International Conf. of the North American Fuzzy Information Processing Society (NAFIPS98), Pensacola, FL, 242-246, 1998.
C. Borgelt und R. Kruse, A Critique of Inductive Causation, In: Proc. 5th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99, London, United Kingdom), Springer, Heidelberg, Germany, 68-79, 1999.
R. Kruse, C. Borgelt und D. Nauck, Fuzzy Data Analysis: Challenges and Perspectives, In: Proc. IEEE Int. Conf. on Fuzzy Systems 1999 (FUZZIEEE99), Seoul, 1211-1216, 1999.
R. Kruse, D. Nauck und C. Borgelt, Data Mining with Fuzzy Methods: Status and Perspectives, In: Proc. 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99), Aachen, 8, 1999.
D. Nauck, U. Nauck und R. Kruse, NEFCLASS for JAVA - New Learning Algorithms, In: Proc. 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS'99), IEEE, New York, NY, 472-476, 1999.
D. Nauck und R. Kruse, Fuzzy Classification Rules Using Categorical and Metric Variables, In: Fuzzy-Neuro Systems 1999 - Computational Intelligence (FNS'99), G. Brewka, R. Der, S. Gottwald, and A. Schierwagen, Leipzig, 133-144, 1999.
D. Nauck und R. Kruse, Fusing Expert Knowledge and Information from Data with NEFCLASS, In: Proc. Second International Conference on Information Fusion (FUSION'99), Sunnyvale, CA, 386-393, 1999.
D. Nauck und R. Kruse, Learning in Neuro-Fuzzy Systems with Symbolic Attributes and Missing Values, In: Proc. Sixth International Conference on Information Processing (ICONIP99), Perth, 142-147, 1999.
A. Nürnberger, A. Klose und R. Kruse, Discussing Cluster Shapes of Fuzzy Classifiers, In: Proc. 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS'99), IEEE, New York, 546-550, 1999.
A. Nürnberger, A. Radetzky und R. Kruse, Determination of Elastodynamic Model Parameters using a Recurrent Neuro-Fuzzy System, In: Proc. 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99), Verlag Mainz, Aachen, 8, 1999.
S. Siekmann, R. Kruse, J. Gebhardt, F. Overbeek und R. Cooke, Information Fusion in the Context of Stock Index Prediction, In: Proc. of European Conference on Symbolic and Quantitative Approaches to Uncertainty (ECSQARU'99), Springer, London, 1999.
C. Borgelt, H. Timm und R. Kruse, Using Fuzzy Clustering to Improve Naive Bayes Classifiers and Probabilistic Networks, In: Accepted to Proc. 8th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'00), IEEE Press, Piscataway, NJ, USA, 6, 2000.
C. Borgelt und R. Kruse, Learning from Imprecise Data: Possibilistic Graphical Models, In: Proc. NMDM 2000, Consiglio Nazionale delle Ricerche, Rome, 190-203, 2000.
A. Klose, R. Kruse, K. Schulz und U. Thoennessen, Controlling Asymmetric Errors in Neuro-Fuzzy Classification, In: Proc. ACM SAC '00, ACM Press, 505-509, 2000.
A. Klose, R. Kruse, H. Gross und U. Thoennessen, Automatische Adaption Struktureller Bildanalysealgorithmen unter Verwendung von Data Mining Techniken, In: Proc. Computational Intelligence im industriellen Einsatz (CI'2000), VDI-Verlag, Düsseldorf, 91-96, 2000.
A. Klose, R. Kruse, H. Gross und U. Thoennessen, Tuning on the Fly of Structural Image Analysis Algorithms Using Data Mining, In: Proc. SPIE AeroSense '00, SPIE Press, 311-321, 2000.
R. Kruse, Data Mining with Neuro-Fuzzy Methods, In: Rencontres Froncophones sur la Logique Floue et ses Applications, La Rochelle, 363-364, 2000.
R. Kruse, Fuzzy-Systeme: Wie geht man mit unscharfen Informationen um?, In: Modellbildung, Computer und Mathematikunterricht, Verlag Franzbecker, Hildesheim, Berlin, 79-83, 2000.
R. Kruse und A. Klose, Information Mining: Applications in Image Processing, In: SOFSEM2000: Theory and Practice of Informatics, Springer, Berlin, 266-285, 2000.
R. Kruse, C. Borgelt und D. Nauck, Data Mining mit Neuro-Fuzzy-Systemen, In: Proc. Symposium Operations Research (SOR'99, Magdeburg, Germany), 2000.
J. Marx-Gómez, C. Rautenstrauch, A. Nürnberger und R. Kruse, Hybrid Approach to Forecast Returns of Scrapped Products to Recycling and Remanufacturing, In: 3rd International Conference on Information Fusion (FUSION 2000), Paris, ISIF, Sunnyvale, CA, I, 22-28 (TuB5), 2000.
A. Nürnberger, A. Klose und R. Kruse, Analyzing Borders Between Partially Contradicting Fuzzy Classification Rules, In: Proc. 19th International Conference of the North American Fuzzy Information Processing Society (NAFIPS 2000), IEEE, Atlanta, 59-63, 2000.
A. Nürnberger, A. Klose und R. Kruse, Effects of Antecedent Pruning in Fuzzy Classification Systems, In: Proc. of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies (KES 2000), IEEE, Piscataway, 1, 154-157, 2000.
C. Borgelt und R. Kruse, An Empirical Investigation of the K2 Metric, In: Proc. 6th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'01, Toulouse, France), 240--251, 2001.
C. Borgelt und R. Kruse, Learning Graphical Models with Hypertree Structure Using a Simulated Annealing Approach, In: Proc. 9th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'01, Melbourne, Australia), IEEE Press, Piscataway, NJ, USA, 2001.
R. Kruse, Information Mining, In: Proc. of the Int. Conf. of the European Society for Fuzzy Logic and Technology (EUSFLAT 2001), De Montfort University, Leicester, UK, 6--9, 2001.
H. Timm, C. Borgelt, C. Döring und R. Kruse, Fuzzy Cluster Analysis with Cluster Repulsion, In: Proc. Of the 1st International Workshop on Hybrid Methods for Adaptive Systems (EUNITE 2001, Tenerife, Spain), On CD-ROM, 2001.

Sonstiges

A. Nürnberger, A. Klose, D. Nauck und R. Kruse, Improving the Clarity of Neuro-Fuzzy Classifiers, In: AFN Berichte 1999, AFN, Wolfenbüttel, Germany, 33-47, 1999.
A. Nürnberger, A. Klose, R. Kruse, G. Hartmann und M. Richards, Interactive Text Retrieval Based on Document Similarities, In: Data Utilization Software Tools 2 (DUST-2 CD-ROM), Max-Planck-Institut für Aeronomie, Katlenburg-Lindau, Germany, 2000.