Uncertainty in Artificial Intelligence
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Compatibility of Quantitative and Qualitative Representations of Belief
Michael Wong, Y. Yao, P. Lingras
The compatibility of quantitative and qualitative representations of beliefs was studied extensively in probability theory. It is only recently that this important topic is considered in the context of belief functions. In this paper, the compatibility of various quantitative belief measures and qualitative belief structures is investigated. Four classes of belief measures considered are: the probability function, the monotonic belief function, Shafer's belief function, and Smets' generalized belief function. The analysis of their individual compatibility with different belief structures not only provides a sound b Keywords:
Pages: 418-424
PS Link:
PDF Link: /papers/91/p418-wong.pdf
AUTHOR = "Michael Wong and Y. Yao and P. Lingras",
TITLE = "Compatibility of Quantitative and Qualitative Representations of Belief",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "418--424"

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