Ulrich Bodenhofer's Publications

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Book Chapters

[17] 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 ]
[16] 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 ]
[15] 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 ]
[14] 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 ]
[13] 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 ]
[12] 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. [ bib | DOI ]
[11] 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. [ bib | DOI ]
[10] 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. [ bib | DOI ]
[9] 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 ]
[8] 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. [ bib | .pdf ]
[7] 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 ]
[6] 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 ]
[5] 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. [ bib | .pdf ]
[4] 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. [ bib | .pdf ]
[3] 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. [ bib | .pdf ]
[2] 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. [ bib | .pdf ]
[1] 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. [ bib | .pdf ]

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