Uncertainty reasoning based on filter of lattice implication algebra

Publication Type:
Conference Proceeding
IEEE International Conference on Systems, Man and Cybernetics, 2003, 5 pp. 4980 - 4985
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Uncertainty reasoning is one of the important issues of many research fields such as artificial intelligence, knowledge-based system, data mining, etc. In the framework of lattice-ualued propositional logic LP(X), the present work focus on how to deal with uncertainty reasoning with incompamble information by taking filter of lattice implication algebm as the measure of reliability of antecedents and conclusions. Firstly, we investigated the unsuitability of inference rules of classicnl logics in uncertainty reasoning and discussed the relation between inference rule and truth-values. Secondly, by taking filter as measure of reliability, we studied the dynamic and hierarchial characteristics of uncertainty reasoning governed by the underlying latticevalued propositional logic LP(X). Finally, we ilhstrated our uncertainty reasoning method through a simple example.
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