An Intelligent System for Handling Vague Knowledge

M. El-Sayed and D. Pacholczyk (France)


Knowledge representation and reasoning, Imprecision, Vagueness, Many-valued logic.


This paper presents a symbolic model for handling nuanced information expressed in the affirmative form ”x is ¢¤£ A”. In this model, nuanced information are represented in a qualitative way within a symbolic context. For that purpose, vague terms and linguistic modifiers that operate on them are defined. The model presented is based on a symbolic M-valued predicate logic and provides a new deduction rule generalizing the classical Modus Ponens Rule.

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