Description Logics and Fuzzy Probability
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1075-1080.
Abstract
Uncertainty and vagueness are pervasive phenomena in real-life knowledge. They are supported in extended description logics that adapt classical description logics to deal with numerical probabilities or fuzzy truth degrees. While the two concepts are distinguished for good reasons, they combine in the notion of probably, which is ultimately a fuzzy qualification of probabilities. Here, we develop existing propositional logics of fuzzy probability into a full-blown description logic, and we show decidability of several variants of this logic under Lukasiewicz semantics. We obtain these results in a novel generic framework of fuzzy coalgebraic logic; this enables us to extend our results to logics that combine crisp ingredients including standard crisp roles and crisp numerical probabilities with fuzzy roles and fuzzy probabilities.
@inproceedings{ijcai2011p184,
title = {Description Logics and Fuzzy Probability},
author = {Schröder, Lutz and Pattinson, Dirk},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1075--1080},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-184},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-184},
}
TY - CPAPER TI - Description Logics and Fuzzy Probability AU - Schröder, Lutz AU - Pattinson, Dirk T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1075 EP - 1080 DO - 10.5591/978-1-57735-516-8/IJCAI11-184 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-184 ER -Copied
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