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Extraction de règles graduelles floues renforcées

Bernadette Bouchon-Meunier 1 Anne Laurent 2 Marie-Jeanne Lesot 1
1 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
2 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Gradual rules such as the more X is A, then the more Y is B have been intensively studied for the last years, especially for fuzzy gradual rule-based reasoning. In this paper, we consider strengthened rules that contain a special clause reinforcing the rule, such as the more X is A, then the more Y is B, all the more as Z is C, where the premise, the conclusion and the strengthening part can be generalised to several clauses. Such strengthened rules have shown their interest for many applications such as road safety (the higher the speed, the greater the danger, all the more the tighter the bends). We study here the definition and semantics of such rules, and how they can be mined.
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Submitted on : Monday, October 7, 2019 - 3:23:24 PM
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  • HAL Id : lirmm-00430510, version 1


Bernadette Bouchon-Meunier, Anne Laurent, Marie-Jeanne Lesot. Extraction de règles graduelles floues renforcées. LFA: Logique Floue et ses Applications, Sep 2009, Annecy, France. pp.109-116. ⟨lirmm-00430510⟩



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