Hühn, J., and Eyke Hüllermeier. “FURIA: An Algorithm for Unordered Fuzzy Rule Induction.” Data Mining and Knowledge Discovery  19 (2009): 293–319.
LibreCat: /record/16158

Hüllermeier, Eyke, and S. Vanderlooy. “Why Fuzzy Decision Trees Are Good Rankers.” IEEE Transactions on Fuzzy Systems 17, no. 6 (2009): 1233–44.
LibreCat: /record/16159

Yi, Y., T. Fober, and Eyke Hüllermeier. “Fuzzy Operator Trees for Modeling Rating Functions.” International Journal of Computational Intelligence and Applications 8, no. 4 (2009): 413–28.
LibreCat: /record/16161

Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” Bioinformatics 25, no. 16 (2009): 2110–17.
LibreCat: /record/16162

Hühn, J., and Eyke Hüllermeier. “F: A Fuzzy Rule Learner for Inducing Reliable Classifiers.” IEEE Transactions on Fuzzy Systems 17, no. 1 (2009): 138–49.
LibreCat: /record/16163

Hüllermeier, Eyke, I. Vladimirskiy, B. Prados Suarez, and E. Stauch. “Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.” Künstliche Intelligenz 1, no. 09 (2009): 24–29.
LibreCat: /record/16165

Hüllermeier, Eyke. “On the Usefulness of Fuzzy Sets in Data Mining.” In Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, edited by R. Seising, 457–70. Springer, 2009.
LibreCat: /record/10188

Cheng, W., J. Hühn, and Eyke Hüllermeier. “Decision Tree and Instance-Based Learning for Label Ranking.” In In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 161–68, 2009.
LibreCat: /record/13595

Fürnkranz, J., Eyke Hüllermeier, and S. Vanderlooy. “Binary Decomposition Methods for Multipartite Ranking.” In In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
LibreCat: /record/13596

Cheng, W., and Eyke Hüllermeier. “A New Instance-Based Label Ranking Approach Using the Mallows Model. In Advances in Neural Networks.” In In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, 707–16. Springer, 2009.
LibreCat: /record/13598