Abstract
In this paper, we consider that a data/knowledge base is used to store information provided by different sources and is questionned by a user. For example, this could be the data base of a decision support system, filled by the information provided by different observers and questionned by an user who wants to take a decision. In such a case, the base may be inconsistent. So the problem of querying an inconsistent base must be solved. This is the aim of this paper. The main problem is to avoid anything to be inferred from the inconsistent base. Our solution consists in limiting the impact of errors to information “related” to erroneous information. Indeed, we distinguish “sure” information, i.e information which are not related to the contradiction, and “doubtful” information i.e information whose valuation is suspicious. Then we define a logics to reason with these two notions, in order to answer queries.
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