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Ulrich Bodenhofer's Publications
[Overview |
Books |
Theses |
Editorial |
Book Ch. |
Int. J. |
Nat. J. |
Conf. |
Tech. Rep. |
Abstr.]
Electronic reprints/preprints are sent on request by e-mail free of charge ().
Book Chapters
[17]
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A. Stöckl and U. Bodenhofer.
Regression: data-driven modeling of numerical relationships in
tourism.
In R. Egger, editor, Applied Data Science in Tourism:
Interdisciplinary Approaches, Methodologies and Applications, Tourism on the
Verge, pages 209–229. Springer, Cham, 2022.
[ bib |
DOI ]
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[16]
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U. Bodenhofer and A. Stöckl.
Classification: data-driven categorization of objects in tourism.
In R. Egger, editor, Applied Data Science in Tourism:
Interdisciplinary Approaches, Methodologies and Applications, Tourism on the
Verge, pages 169–208. Springer, Cham, 2022.
[ bib |
DOI ]
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[15]
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E. P. Klement, P. Bauer, U. Bodenhofer, M. Mittendorfer-Holzer, R. Pollak,
R. Richter, and H. Exner.
PapaGeno — vollautomatische menschenähnliche
Qualitätskontrolle für Aufdrucke auf Compact Discs.
In M. Wirth, A. Reichl, and M. Gräser, editors, 50 Jahre
Johannes Kepler Universität Linz. Innovationsfelder in Forschung, Lehre und
universitärem Alltag, pages 265–282. Böhlau, Vienna, 2017.
[ bib |
DOI ]
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[14]
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N. J. Perualila, Z. Shkedy, R. Sengupta, T. Bigirumurame, L. Bijnens,
W. Talloen, B. Verbiest, H. W. H. Göhlmann, A. Kasim, and The QSTAR Consortium.
High-dimensional biomarkers in drug discovery: QSTAR framework.
In A. Alonso, T. Bigirumurame, T. Burzykowski, M. Buyse,
G. Molenberghs, L. Muchene, N. J. Perualila, Z. Shkedy, and W. Van der
Elst, editors, Applied Surrogate Endpoint Evaluation Methods with SAS
and R, pages 297–332. Chapman and Hall/CRC, New York, NY, 2016.
[ bib |
DOI ]
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[13]
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U. Bodenhofer.
Lexicographic composition of similarity-based fuzzy orderings.
In B. Bouchon-Meunier, C. Marsala, M. Rifqi, and R. R. Yager,
editors, Uncertainty and Intelligent Information Systems, chapter 33,
pages 457–469. World-Scientific, 2008.
[ bib |
.pdf ]
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[12]
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U. Bodenhofer, B. De Baets, and J. Fodor.
General representation theorems for fuzzy weak orders.
In H. C. M. de Swart, E. Orlowska, M. Roubens, and G. Schmidt,
editors, Theory and Applications of Relational Structures as Knowledge
Instruments II, volume 4342 of Lecture Notes in Artificial
Intelligence, pages 229–244. Springer, Berlin, 2006.
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DOI ]
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[11]
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U. Bodenhofer, J. Küng, and S. Saminger.
Flexible query answering using distance-based fuzzy relations.
In H. C. M. de Swart, E. Orlowska, M. Roubens, and G. Schmidt,
editors, Theory and Applications of Relational Structures as Knowledge
Instruments II, volume 4342 of Lecture Notes in Artificial
Intelligence, pages 207–228. Springer, Berlin, 2006.
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DOI ]
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[10]
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S. Saminger, U. Bodenhofer, E. P. Klement, and R. Mesiar.
Aggregration of fuzzy relations and preservation of transitivity.
In H. C. M. de Swart, E. Orlowska, M. Roubens, and G. Schmidt,
editors, Theory and Applications of Relational Structures as Knowledge
Instruments II, volume 4342 of Lecture Notes in Artificial
Intelligence, pages 185–206. Springer, Berlin, 2006.
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DOI ]
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[9]
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U. Bodenhofer.
Applications of fuzzy orderings: an overview.
In K. T. Atanassov, O. Hryniewicz, and J. Kacprzyk, editors,
Soft Computing. Foundations and Theoretical Aspects, pages 81–95. EXIT,
Warsaw, 2004.
[ bib |
.pdf ]
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[8]
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U. Bodenhofer and F. Klawonn.
Linearity axioms for fuzzy orderings: a formal review.
In B. De Baets and J. Fodor, editors, Principles of Fuzzy
Preference Modelling and Decision Making, pages 1–14. Academia Press, Gent,
2003.
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.pdf ]
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[7]
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U. Bodenhofer.
Fuzzy “between” operators in the framework of fuzzy orderings.
In B. Bouchon-Meunier, L. Foulloy, and R. R. Yager, editors,
Intelligent Systems for Information Processing: From Representation to
Applications, pages 59–70. Elsevier, Amsterdam, 2003.
[ bib |
DOI ]
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[6]
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U. Bodenhofer and P. Bauer.
A formal model of interpretability of linguistic variables.
In J. Casillas, O. Cordón, F. Herrera, and L. Magdalena, editors,
Interpretability Issues in Fuzzy Modeling, volume 128 of Studies
in Fuzziness and Soft Computing, pages 524–545. Springer, Berlin, 2003.
[ bib |
.pdf ]
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[5]
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T. Weiler and U. Bodenhofer.
Approximation of belief functions by minimizing Euclidean
distances.
In P. Grzegorzewski, O. Hryniewicz, and M. A. Gil, editors,
Methods in Probability, Statistics and Data Analysis, Advances in Soft
Computing, pages 170–177. Physica-Verlag, Heidelberg, 2002.
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[4]
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M. Burger, J. Haslinger, and U. Bodenhofer.
Tuning of fuzzy systems as an ill-posed problem.
In M. Anile, V. Capasso, and A. Greco, editors, Progress in
Industrial Mathematics at ECMI 2000, volume 1 of Mathematics in
Industry, pages 493–498. Springer, 2002.
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.pdf ]
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[3]
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U. Bodenhofer.
A general framework for ordering fuzzy sets.
In B. Bouchon-Meunier, J. Guitiérrez-Ríoz, L. Magdalena, and
R. R. Yager, editors, Technologies for Constructing Intelligent Systems
1: Tasks, volume 89 of Studies in Fuzziness and Soft Computing, pages
213–224. Physica-Verlag, Heidelberg, 2002.
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.pdf ]
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[2]
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U. Bodenhofer and E. P. Klement.
Genetic optimization of fuzzy classification systems — a case
study.
In B. Reusch and K.-H. Temme, editors, Computational
Intelligence in Theory and Practice, Advances in Soft Computing, pages
183–200. Physica-Verlag, Heidelberg, 2001.
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.pdf ]
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[1]
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U. Bodenhofer and F. Herrera.
Ten lectures on genetic fuzzy systems.
In R. Mesiar, editor, Preprints of the International Summer
School: Advanced Control—Fuzzy, Neural, Genetic, pages 1–69. Slovak
Technical University, Bratislava, 1997.
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