A Formal Treatment of Relevance Information in Ill-Structured Environments
Information pertaining to real-life problems is rarely known with complete confidence. It is usually uncertain. In such an environment of uncertainty and imprecision, rational decision making depends not only on the facts and rules explicitly connected to a problem, but also on knowledge pieces not very clearly connected to the considered case. The problem of processing the evidence in a knowledge-based system requires, for its solution, to articulate the conditions under which an item of information is relevant to another.
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