A Symbolic Approach To Uncertainty Management
作者:Mohamed Chachoua, Daniel Pacholczyk
摘要
In this paper, we present a new symbolic approach to deal with the uncertainty encountered in common-sense reasoning. This approach enables us to represent the uncertainty by using linguistic expressions of the interval [Certain, Totally uncertain]. The original uncertainty scale that we use here, presents some advantages over other scales in the representation and in the management of the uncertainty. The axioms of our theory are inspired by Shannon's entropy theory and built on the substrate of a symbolic many-valued logic. So, the uncertainty management in the symbolic logic framework leads to new generalizations of classical inference rules.
论文关键词:artificial intelligence, uncertainty representation, qualitative reasoning, uncertainty management, ignorance, belief, entropy, many-valued logic
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论文官网地址:https://doi.org/10.1023/A:1026572211922