Proceedings

Propagation of Preference Relations in Qualitative Inference Networks

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Qualitative Reasoning. Pages 1204-1208.

Abstract

Preference relations can provide a more realistic model of random phenomena than quantitative probability or belief functions . In order to use preference relations for reasoning under uncertainty, it is necessary to perform sequential and parallel combinations of propagated information in a qualitative inference network. This paper discusses the rules for such sequential and parallel combinations.

S. K. Michael Wong, Pawan Lingras, and Yiyu Yao. 1991. Propagation of Preference Relations in Qualitative Inference Networks. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 1204–1208. https://ijcai.org/proceedings/1991/177
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