@InProceedings{Serr2019,
author="Serr, Anna and Schubert, Moritz and Endres, Dominik",
editor="Endres, Dominik and Alam, Mehwish and {\c{S}}otropa, Diana",
title="Mathematical Similarity Models: Do We Need Incomparability to Be Precise?",
booktitle="Graph-Based Representation and Reasoning",
year="2019",
publisher="Springer International Publishing",
note = {\href{https://doi.org/10.1007/978-3-030-23182-8_20}{DOI: 10.1007/978-3-030-23182-8_20}},
doi = {10.1007/978-3-030-23182-8_20},
address="Cham",
pages="257--261",
abstract="The expanded version of Tversky's feature model by Geist, Lengnink and Wille (GLW) provides a compelling representation of similarity by adding an incomparability option. However, previous research has found the GLW model lacking when compared with participants' responses. We present several new models based on the GLW model and validate them on data from previous similarity experiments. The results indicate that human similarity perception is not well described by a partial order.",
isbn="978-3-030-23182-8"
}