Linguistic Modifiers and Approximate Reasoning

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

Keywords

: Knowledge representation and reasoning, Im precision, Vagueness, Manyvalued logic, Multiset theory.

Abstract

: This paper presents a symbolic model for han dling nuanced information like "John is very tall". The model presented is based on a symbolic M-valued predi cate logic. The first object of this paper has been to present a new representation method for handling nuanced state ments of natural language and which contain linguistic modifiers. These modifiers are defined in a symbolic way within a multiset context. The second object has been to propose new Generalized Modus Ponens rules dealing with nuanced statements.

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