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- W2023176167 abstract "Weighted logics are important tools for reasoning under uncertain knowledge. A weighted knowledge base is a set of weighted formulas of the form (φ i , α i ) where φ i is a propositional formula and α i is the certainty degree associated with φ i . This paper addresses two issues in the possibility theory framework: i) how to compare two weighted knowledge bases with respect to their information contents? and ii) how to syntactically define the concept of forgetting variables? We show that comparing knowledge bases is the counterpart of the concept of the specificity relation defined between possibility distributions." @default.
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- W2023176167 date "2014-04-01" @default.
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- W2023176167 title "Comparing and Weakening Possibilistic Knowledge Bases" @default.
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- W2023176167 doi "https://doi.org/10.1142/s0218488514500081" @default.
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