 | 2010 |
|---|
| 114 |       | Radim Belohlávek,
Rudolf Kruse:
Editor's foreword.
J. Comput. Syst. Sci. 76(1): 1-2 (2010) |
| 113 | | Matthias Steinbrecher,
Rudolf Kruse:
Visualizing and fuzzy filtering for discovering temporal trajectories of association rules.
J. Comput. Syst. Sci. 76(1): 77-87 (2010) |
| 2009 |
|---|
| 112 | | Mirko Böttcher,
Martin Spott,
Rudolf Kruse:
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time.
ECML/PKDD (1) 2009: 163-178 |
| 111 | | Jörg Beyer,
Kai Heesche,
Werner Hauptmann,
Clemens Otte,
Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion.
ECSQARU 2009: 748-756 |
| 110 | | Matthias Steinbrecher,
Rudolf Kruse:
Fuzzy Descriptions to Identify Temporal Substructure Changes of Cooccurrence Graphs.
IFSA/EUSFLAT Conf. 2009: 1177-1182 |
| 109 | | Matthias Steinbrecher,
Rudolf Kruse:
Assessing the Strength of Structural Changes in Cooccurrence Graphs.
KI 2009: 476-483 |
| 108 |  | Georg Ruß,
Rudolf Kruse,
Martin Schneider,
Peter Wagner:
Visual Data Mining of Agriculture Data.
MLDM Posters 2009: 30-44 |
| 107 | | Georg Ruß,
Rudolf Kruse:
Feature Selection for Wheat Yield Prediction.
SGAI Conf. 2009: 465-478 |
| 106 | | Sebastian Nusser,
Clemens Otte,
Werner Hauptmann,
Oskar Leirich,
Manfred Krätschmer,
Rudolf Kruse:
Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems).
Automatisierungstechnik 57(3): 138-145 (2009) |
| 105 | | Christian Moewes,
Rudolf Kruse:
Zuordnen von linguistischen Ausdrücken zu Motiven in Zeitreihen (Matching of Labeled Terms to Time Series Motifs).
Automatisierungstechnik 57(3): 146-154 (2009) |
| 104 | | Mirko Böttcher,
Martin Spott,
Detlef D. Nauck,
Rudolf Kruse:
Mining changing customer segments in dynamic markets.
Expert Syst. Appl. 36(1): 155-164 (2009) |
| 2008 |
|---|
| 103 | | Mirko Böttcher,
Martin Spott,
Rudolf Kruse:
Predicting Future Decision Trees from Evolving Data.
ICDM 2008: 33-42 |
| 102 | | Georg Ruß,
Rudolf Kruse,
Martin Schneider,
Peter Wagner:
Data Mining with Neural Networks for Wheat Yield Prediction.
ICDM 2008: 47-56 |
| 101 | | Georg Ruß,
Rudolf Kruse,
Martin Schneider,
Peter Wagner:
Estimation of Neural Network Parameters for Wheat Yield Prediction.
IFIP AI 2008: 109-118 |
| 100 | | Christian Moewes,
Clemens Otte,
Rudolf Kruse:
Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM.
SMPS 2008: 409-416 |
| 99 | | Matthias Steinbrecher,
Frank Rügheimer,
Rudolf Kruse:
Application of Graphical Models in the Automotive Industry.
Computational Intelligence in Automotive Applications 2008: 79-88 |
| 98 | | Steffen Kempe,
Jochen Hipp,
Carsten Lanquillon,
Rudolf Kruse:
Mining Frequent Temporal Patterns in Interval Sequences.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(5): 645-661 (2008) |
| 97 | | Rudolf Kruse:
Fuzzy neural network.
Scholarpedia 3(11): 6043 (2008) |
| 2007 |
|---|
| 96 | | Siddeswara Mayura Guru,
Matthias Steinbrecher,
Saman K. Halgamuge,
Rudolf Kruse:
Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks.
GPC 2007: 89-99 |
| 95 | | Steffen Kempe,
Jochen Hipp,
Rudolf Kruse:
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns.
GfKl 2007: 253-260 |
| 94 | | Rudolf Kruse:
Probabilistic Graphical Models for Data Mining and Planning in Automotive Industry.
ICTAI (1) 2007 |
| 93 | | Matthias Steinbrecher,
Rudolf Kruse:
Visualization of Possibilistic Potentials.
IFSA (1) 2007: 295-303 |
| 92 | | Georg Ruß,
Detlef D. Nauck,
Mirko Böttcher,
Rudolf Kruse:
Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval.
SGAI Conf. 2007: 253-266 |
| 91 | | Frank Rehm,
Frank Klawonn,
Rudolf Kruse:
Visualization of Fuzzy Classifiers.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): 615-624 (2007) |
| 90 | | Ulrich Bodenhofer,
Eyke Hüllermeier,
Frank Klawonn,
Rudolf Kruse:
Special Issue on Soft Computing for Information Mining.
Soft Comput. 11(5): 397-399 (2007) |
| 89 | | Xiaomeng Wang,
Detlef D. Nauck,
Martin Spott,
Rudolf Kruse:
Intelligent data analysis with fuzzy decision trees.
Soft Comput. 11(5): 439-457 (2007) |
| 88 | | Frank Rehm,
Frank Klawonn,
Rudolf Kruse:
A Novel Approach to Noise Clustering for Outlier Detection.
Soft Comput. 11(5): 489-494 (2007) |
| 2006 |
|---|
| 87 | | Myra Spiliopoulou,
Rudolf Kruse,
Christian Borgelt,
Andreas Nürnberger,
Wolfgang Gaul:
From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005
Springer 2006 |
| 86 | | Marie-Jeanne Lesot,
Rudolf Kruse:
Typicality Degrees and Fuzzy Prototypes for Clustering.
GfKl 2006: 107-114 |
| 85 | | Frank Rehm,
Frank Klawonn,
Rudolf Kruse:
Single Cluster Visualization to Optimize Air Traffic Management.
GfKl 2006: 319-325 |
| 84 | | Frank Rehm,
Frank Klawonn,
Rudolf Kruse:
Visualization of Single Clusters.
ICAISC 2006: 663-671 |
| 83 | | Frank Rehm,
Frank Klawonn,
Rudolf Kruse:
POLARMAP - Efficient Visualisation of High Dimensional Data.
IV 2006: 731-740 |
| 82 | | Christian Döring,
Marie-Jeanne Lesot,
Rudolf Kruse:
Data analysis with fuzzy clustering methods.
Computational Statistics & Data Analysis 51(1): 192-214 (2006) |
| 2005 |
|---|
| 81 | | Christian Borgelt,
Rudolf Kruse:
Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits.
ECSQARU 2005: 100-110 |
| 80 | | Jörg Gebhardt,
Rudolf Kruse:
Knowledge-Based Operations for Graphical Models in Planning.
ECSQARU 2005: 3-14 |
| 79 | | Frank Rügheimer,
Rudolf Kruse:
Information Miner - a Data Analysis Platform.
EUSFLAT Conf. 2005: 1182-1187 |
| 78 | | Rudolf Kruse,
Jörg Gebhardt:
Probabilistic Graphical Models in Complex Industrial Applications.
HIS 2005: 3 |
| 77 | | Frank Rehm,
Frank Klawonn,
Rudolf Kruse:
MDSpolar: A New Approach for Dimension Reduction to Visualize High Dimensional Data.
IDA 2005: 316-327 |
| 76 | | Andreas Eichhorn,
Daniela Girimonte,
Aljoscha Klose,
Rudolf Kruse:
Soft computing for automated surface quality analysis of exterior car body panels.
Appl. Soft Comput. 5(3): 301-313 (2005) |
| 75 | | Aljoscha Klose,
Rudolf Kruse:
Semi-supervised learning in knowledge discovery.
Fuzzy Sets and Systems 149(1): 209-233 (2005) |
| 2004 |
|---|
| 74 | | Frank Klawonn,
Rudolf Kruse:
The Inherent Indistinguishability in Fuzzy Systems.
Logic versus Approximation 2004: 6-17 |
| 73 | | Christian Borgelt,
Rudolf Kruse:
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering.
PKDD 2004: 52-62 |
| 72 | | Christian Borgelt,
Rudolf Kruse:
Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie.
Datenbank-Spektrum 9: 18-23 (2004) |
| 71 | | Heiko Timm,
Christian Borgelt,
Christian Döring,
Rudolf Kruse:
An extension to possibilistic fuzzy cluster analysis.
Fuzzy Sets and Systems 147(1): 3-16 (2004) |
| 70 | | Heiko Timm,
Christian Döring,
Rudolf Kruse:
Different approaches to fuzzy clustering of incomplete datasets.
Int. J. Approx. Reasoning 35(3): 239-249 (2004) |
| 69 | | Michael R. Berthold,
Elizabeth Bradley,
Rudolf Kruse:
Guest Editorial: "Advances in intelligent data analysis".
Intell. Data Anal. 8(5): 437-438 (2004) |
| 68 | | Rudolf Kruse,
Aljoscha Klose:
Recent advances in exploratory data analysis with neuro-fuzzy methods.
Soft Comput. 8(6): 381-382 (2004) |
| 2003 |
|---|
| 67 | | Michael R. Berthold,
Hans-Joachim Lenz,
Elizabeth Bradley,
Rudolf Kruse,
Christian Borgelt:
Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings
Springer 2003 |
| 66 | | Andreas Günter,
Rudolf Kruse,
Bernd Neumann:
KI 2003: Advances in Artificial Intelligence, 26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003, Proceedings
Springer 2003 |
| 65 | | Heiko Timm,
Christian Döring,
Rudolf Kruse:
Differentiated Treatment of Missing Values in Fuzzy Clustering.
IFSA 2003: 354-361 |
| 64 | | Christian Borgelt,
Rudolf Kruse:
Operations and evaluation measures for learning possibilistic graphical models.
Artif. Intell. 148(1-2): 385-418 (2003) |
| 63 | | Rudolf Kruse,
Christian Borgelt:
Information mining.
Int. J. Approx. Reasoning 32(2-3): 63-65 (2003) |
| 2002 |
|---|
| 62 | | Rudolf Kruse,
Christian Borgelt:
Data Mining with Graphical Models.
ALT 2002: 22 |
| 61 | | Rudolf Kruse,
Christian Borgelt:
Data Mining with Graphical Models.
Discovery Science 2002: 2-11 |
| 60 | | Annette Keller,
Rudolf Kruse:
Fuzzy Rule Generation for Transfer Passenger Analysis.
FSKD 2002: 667-671 |
| 59 | | Andreas Nürnberger,
Aljoscha Klose,
Rudolf Kruse,
Gerd K. Hartmann,
Michael L. Richards:
SomAccess - Ein Softwareprototyp zur interaktiven Navigation in Textdatenbanken.
KI 16(3): 59-64 (2002) |
| 58 | | Jorge Marx Gómez,
Claus Rautenstrauch,
Andreas Nürnberger,
Rudolf Kruse:
Neuro-fuzzy approach to forecast returns of scrapped products to recycling and remanufacturing.
Knowl.-Based Syst. 15(1-2): 119-128 (2002) |
| 2001 |
|---|
| 57 | | Christian Borgelt,
Rudolf Kruse:
An Empirical Investigation of the K2 Metric.
ECSQARU 2001: 240-251 |
| 56 | | Rudolf Kruse:
Information mining.
EUSFLAT Conf. 2001: 6-9 |
| 55 | | Christian Borgelt,
Rudolf Kruse:
Learning Graphical Models With Hypertree Structure Using a Simulated Annealing Approach.
FUZZ-IEEE 2001: 135-138 |
| 54 | | Isabelle Bloch,
Anthony Hunter,
Alain Appriou,
André Ayoun,
Salem Benferhat,
Philippe Besnard,
Laurence Cholvy,
Roger Cooke,
Frédéric Cuppens,
Didier Dubois,
Hélène Fargier,
Michel Grabisch,
Rudolf Kruse,
Jérôme Lang,
Serafín Moral,
Henri Prade,
Alessandro Saffiotti,
Philippe Smets,
Claudio Sossai:
Fusion: General concepts and characteristics.
Int. J. Intell. Syst. 16(10): 1107-1134 (2001) |
| 53 | | Stefan Siekmann,
Rudolf Kruse,
Jörg Gebhardt,
Franck Van Overbeek,
Roger Cooke:
Information fusion in the context of stock index prediction.
Int. J. Intell. Syst. 16(11): 1285-1298 (2001) |
| 52 | | Christian Freksa,
Rudolf Kruse,
Ramon López de Mántaras:
Interview with Prof. Lotfi A. Zadeh.
KI 15(3): 40-43 (2001) |
| 51 | | Christian Borgelt,
Rudolf Kruse:
Unsicherheit und Vagheit - Serviceteil.
KI 15(3): 48 (2001) |
| 50 | | Christian Borgelt,
Rudolf Kruse:
Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen.
KI 15(3): 5-8 (2001) |
| 49 | | Andreas Nürnberger,
Arne Radetzky,
Rudolf Kruse:
Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems.
Neurocomputing 36(1-4): 123-147 (2001) |
| 2000 |
|---|
| 48 | | Detlef Nauck,
Rudolf Kruse:
NEFCLASS-J - A JAVA-Based Soft Computing Tool.
Intelligent Systems and Soft Computing 2000: 139-160 |
| 47 | | Rudolf Kruse,
Christian Borgelt,
Detlef Nauck:
Problems and Prospects in Fuzzy Data Analysis.
Intelligent Systems and Soft Computing 2000: 95-109 |
| 46 | | Andreas Nürnberger,
Aljoscha Klose,
Rudolf Kruse:
Effects of antecedent pruning in fuzzy classification systems.
KES 2000: 154-157 |
| 45 | | Aljoscha Klose,
Rudolf Kruse,
Karsten Schulz,
Ulrich Thoennessen:
Controlling Asymmetric Errors in Neuro-Fuzzy Classification.
SAC (1) 2000: 505-509 |
| 44 | | Rudolf Kruse,
Aljoscha Klose:
Information Mining: Applications in Image Processing.
SOFSEM 2000: 266-287 |
| 1999 |
|---|
| 43 | | Stefan Siekmann,
Jörg Gebhardt,
Rudolf Kruse:
Information Fusion in the Context of Stock Index Prediction.
ESCQARU 1999: 363-373 |
| 42 | | Christian Borgelt,
Rudolf Kruse:
A Critique of Inductive Causation.
ESCQARU 1999: 68-79 |
| 41 | | Detlef Nauck,
Rudolf Kruse:
Obtaining interpretable fuzzy classification rules from medical data.
Artificial Intelligence in Medicine 16(2): 149-169 (1999) |
| 1998 |
|---|
| 40 | | Jörg Gebhardt,
Rudolf Kruse:
Background to and perspectives on possibilistic graphical models.
Applications of Uncertainty Formalisms 1998: 397-414 |
| 39 | | Rudolf Kruse,
Gunter Saake:
Workshop: Data Mining und Data Warehousing als Grundlage moderner entscheidungsunterstützender Systeme.
GI Jahrestagung 1998: 385-386 |
| 38 | | Rudolf Kruse,
Christian Borgelt:
Data Mining with Graphical Models.
KI 1998: 3-16 |
| 37 | | Christian Borgelt,
Rudolf Kruse,
Guido Lindner:
Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung.
KI 12(1): 11-17 (1998) |
| 36 | | Andreas Nürnberger,
Detlef Nauck,
Rudolf Kruse:
Neuro-fuzzy control based on the NEFCON-model: recent developments.
Soft Comput. 2(4): 168-182 (1998) |
| 1997 |
|---|
| 35 | | Dov M. Gabbay,
Rudolf Kruse,
Andreas Nonnengart,
Hans Jürgen Ohlbach:
Qualitative and Quantitative Practical Reasoning, First International Joint Conference on Qualitative and Quantitative Practical Reasoning ECSQARU-FAPR'97, Bad Honnef, Germany, June 9-12, 1997, Proceedings
Springer 1997 |
| 34 | | Jörg Gebhardt,
Rudolf Kruse:
Background and Perspectives of Possibilistic Graphical Models.
ECSQARU-FAPR 1997: 108-121 |
| 33 | | Christian Borgelt,
Rudolf Kruse:
Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures.
ECSQARU-FAPR 1997: 71-85 |
| 32 | | Rudolf Kruse,
Frank Klawonn,
Detlef Nauck:
Erlerner von Fuzzy-Regeln.
Inform., Forsch. Entwickl. 12(1): 2-6 (1997) |
| 31 | | Kai Michels,
Rudolf Kruse:
Numerical stability analysis for fuzzy control.
Int. J. Approx. Reasoning 16(1): 3-24 (1997) |
| 1996 |
|---|
| 30 | | Philippe Smets,
Rudolf Kruse:
The Transferable Belief Model for Belief Representation.
Uncertainty Management in Information Systems 1996: 343-368 |
| 29 | | Rudolf Kruse:
Fuzzy-Systeme - Positive Aspekte der Unvollkommenheit.
Informatik Spektrum 19(1): 4-11 (1996) |
| 1995 |
|---|
| 28 | | Jörg Gebhardt,
Rudolf Kruse:
Reasoning and Learning in Probabilistic and Possibilistic Networks: An Overview.
ECML 1995: 3-16 |
| 27 | | Luis M. de Campos,
Jörg Gebhardt,
Rudolf Kruse:
Axiomatic Treatment of Possibilistic Independence.
ECSQARU 1995: 77-88 |
| 26 | | Detlef Nauck,
Rudolf Kruse:
NEFCLASSmdash;a neuro-fuzzy approach for the classification of data.
SAC 1995: 461-465 |
| 1994 |
|---|
| 25 | | Jens Kinzel,
Frank Klawonn,
Rudolf Kruse:
Anpassung Genetischer Algorithmen zum Erlernen und Optimieren von Fuzzy-Reglern.
Fuzzy Days 1994: 103-110 |
| 24 | | Jörg Gebhardt,
Rudolf Kruse:
A Numerical Framework for Possibilistic Abduction.
IPMU 1994: 281-291 |
| 23 | | Frank Klawonn,
Jens Kinzel,
Rudolf Kruse:
Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers.
International Conference on Evolutionary Computation 1994: 28-33 |
| 22 | | Rudolf Kruse,
Jörg Gebhardt,
Frank Klawonn:
A fuzzy controller for idle speed regulation.
SAC 1994: 155-160 |
| 21 | | Bernd Reusch,
Lotfi A. Zadeh,
Mohammad Jamshidi,
Rudolf Kruse,
Enrique H. Ruspini:
Future trends in fuzzy logic application (panel session).
SAC 1994: 594-595 |
| 1993 |
|---|
| 20 | | Michael Clarke,
Rudolf Kruse,
Serafín Moral:
Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQARU'93, Granada, Spain, November 8-10, 1993, Proceedings
Springer 1993 |
| 19 | | Jörg Gebhardt,
Rudolf Kruse:
A New Approach to Semantic Aspects of Possibilistic Reasoning.
ECSQARU 1993: 151-159 |
| 18 | | Detlef Nauck,
Frank Klawonn,
Rudolf Kruse:
Combining Neural Networks and Fuzzy Controllers.
FLAI 1993: 35-46 |
| 17 | | Philippe Besnard,
Yves Moinard,
Wilmer Pereira,
Michael Clarke,
Nic Wilson,
Miguel Delgado,
Serafín Moral,
Juan Cano,
Didier Dubois,
Henri Prade,
Luis Fariñas del Cerro,
Jérôme Lang,
Stéphane Amarger,
John Fox,
Paul Krause,
Michael Dohnal,
Christine Froidevaux,
Jérôme Mengin,
Ramon López de Mántaras,
Lluis Godo,
E. H. Mamdani,
John Bigham,
Simon Parsons,
Rudolf Kruse,
Olivier Paillet,
Pierre Siegel,
Philippe Smets,
Yen-Teh Hsia,
Alessandro Saffiotti,
Robert Kennes,
Hong Xu,
Elizabeth Umkehrer,
Kurt Sundermeyer,
Chris Whitney:
DRUMS: Defeasible Reasoning and Uncertainty Management Systems.
AI Commun. 6(1): 27-46 (1993) |
| 16 | | Jörg Gebhardt,
Rudolf Kruse:
The context model: An integrating view of vagueness and uncertainty.
Int. J. Approx. Reasoning 9(3): 283-314 (1993) |
| 15 | | Rudolf Kruse:
Fuzzy-Systeme - einige Klarstellungen.
KI 7(4): 73-74 (1993) |
| 1992 |
|---|
| 14 | | Detlef Nauck,
Frank Klawonn,
Rudolf Kruse,
Uwe Lohs:
Reasoning under Uncertainty with Temporal Aspects.
IEA/AIE 1992: 572-580 |
| 1991 |
|---|
| 13 | | Rudolf Kruse,
Pierre Siegel:
Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQAU, Marseille, France, October 15-17, 1991, Proceedings
Springer 1991 |
| 12 | | Rudolf Kruse,
Jörg Gebhardt,
Frank Klawonn:
Reasoning with Mass Distributions and the Context Model.
ECSQARU 1991: 81-85 |
| 11 | | Rudolf Kruse,
Erhard Schwecke,
Frank Klawonn:
On a Tool for Reasoning with Mass Distributions.
IJCAI 1991: 1190-1195 |
| 10 | | Rudolf Kruse,
Detlef Nauck,
Frank Klawonn:
Reasoning with Mass Distributions.
UAI 1991: 182-187 |
| 9 | | Rudolf Kruse,
Jörg Gebhardt,
Frank Klawonn:
Modellierung von Vagheit und Unsicherheit.
KI 5(4): 13-17 (1991) |
| 8 | | Rudolf Kruse:
ESPRIT - Projekt DRUMS: Defeasible Reasoning und Uncertainty Management Systems.
KI 5(4): 47-49 (1991) |
| 1990 |
|---|
| 7 | | Rudolf Kruse,
Erhard Schwecke:
On the Combination of Information Sources.
IPMU 1990: 24-30 |
| 6 | | Rudolf Kruse,
Frank Klawonn:
Numerische Methoden zur Verarbeitung unsicherer Informationen in wissensbasierten Systemen.
Konzeption und Einsatz von Umweltinformationssystemen 1990: 169-176 |
| 5 | | Rudolf Kruse,
Erhard Schwecke:
Fuzzy reasoning in a multidimensional space of hypotheses.
Int. J. Approx. Reasoning 4(1): 47-68 (1990) |
| 1989 |
|---|
| 4 | | Peter Friedrich,
Rudolf Kruse,
Werner Struckmann:
Das Salzgitter-Modell - Ein Beispiel für die Zusammenarbeit zwischen Hochschule und Industrie bei der Entwicklung komplexer Software-Systeme.
GI-Fachgespräch über Rechenzentren 1989: 214-222 |
| 1986 |
|---|
| 3 | | Peter Friedrich,
Rudolf Kruse,
Werner Struckmann:
Ein softwaretechnisches Praktikum: Kooperation zwischen Hochschule und Industrie.
Angewandte Informatik 28(3): 124-126 (1986) |
| 1984 |
|---|
| 2 | | Rudolf Kruse:
Statistical estimation with linguistic data.
Inf. Sci. 33(3): 197-207 (1984) |
| 1982 |
|---|
| 1 | | Rudolf Kruse:
The strong law of large numbers for fuzzy random variables.
Inf. Sci. 28(3): 233-241 (1982) |
