This MATLAB package implements a method for learning an "Ordinal Choquistic Regression" model (represented by a corresponding Moebius transform of the underlying fuzzy measure), using the maximum likelihood approach proposed in . For reasons of efficiency, it restricts to the 2-additive Choquet integral and implements the method, in which the Moebius transform is represented as a convex combination of a set of basis functions.
 A. Fallah Tehrani, E. Hüllermeier. Ordinal Choquistic Regression. Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT-13, Milano, Italy, September 11-13, 2013. Atlantis Press 2013 ISBN 978-90786-77-78-9
- Changes to previous version:
Initial Announcement on mloss.org.
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