Learning valued preference structures for solving classification problems

@article{Hllermeier2008LearningVP,
  title={Learning valued preference structures for solving classification problems},
  author={Eyke H{\"u}llermeier and Klaus Brinker},
  journal={Fuzzy Sets and Systems},
  year={2008},
  volume={159},
  pages={2337-2352}
}
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our approach first decomposes a polychotomous classification problem involving m classes into an ensemble of binary problems, one for each ordered pair of classes. The corresponding classifiers are trained on the relevant subsets of the (transformed) original training data. In the classification phase, a new query is… CONTINUE READING