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A Qualitative Reasoning with Nuanced Information

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Logics in Artificial Intelligence (JELIA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2424))

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Abstract

This paper presents a new model for handling nuanced information expressed in an affirmative form like “x is m∞ 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 Modus Ponens rule.

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Author information

Authors and Affiliations

  1. University of Angers, 2 Boulevard Lavoisier, 49045, ANGERS Cedex 01, France

    Mazen El-Sayed & Daniel Pacholczyk

Authors
  1. Mazen El-Sayed
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  2. Daniel Pacholczyk
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Editor information

Editors and Affiliations

  1. DEIS, University of Calabria, P.te P. Bucci, Cubo 41C, 87036, Rende, CS, Italy

    Sergio Flesca  & Sergio Greco  & 

  2. Department of Mathematics, University of Calabria, P.te P. Bucci, Cubo 30B, 87036, Rende, CS, Italy

    Giovambattista Ianni  & Nicola Leone  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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El-Sayed, M., Pacholczyk, D. (2002). A Qualitative Reasoning with Nuanced Information. In: Flesca, S., Greco, S., Ianni, G., Leone, N. (eds) Logics in Artificial Intelligence. JELIA 2002. Lecture Notes in Computer Science(), vol 2424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45757-7_24

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  • DOI: https://doi.org/10.1007/3-540-45757-7_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44190-8

  • Online ISBN: 978-3-540-45757-2

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