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A Fuzzy analysis of linguistic negation of nuanced property in Knowledge-Based systems

  • Daniel Pacholczyk
Accepted Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1244)

Abstract

In this paper, we present a Pragmatic Model dealing with Linguistic Negation in Knowledge-Based Systems. It can be viewed as a Generalization of Linguistic Approach to Negative Information within a Fuzzy Context. We define the Linguistic Negation with the aid of a Similarity Relation between Nuanced Properties. We propose a Choice Strategy allowing the User to explain the intended Meaning of Linguistic Negations. This Model improves the abilities in Management of a Knowledge Base, since Information can refer to Linguistic Negations either in Facts or in Rules.

Keywords

Choice Strategy Fuzzy Operator Linguistic Approach Weak Agreement Fuzzy Property 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Daniel Pacholczyk
    • 1
  1. 1.LERIAAngers UniversityAngers CedexFrance

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