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A vocabulary revision method based on modality splitting

Grégory Smits 1 Olivier Pivert 1 Marie-Jeanne Lesot 2
1 SHAMAN - Symbolic and Human-centric view of dAta MANagement
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
2 LFI - Learning, Fuzzy and Intelligent systems
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Using linguistic fuzzy variables to describe data improves the interpretability of data querying systems and thus their quality, under the condition that the considered modalities induce an indistinguishability relation in adequacy with the underlying data structure. This paper proposes a method to identify and split too general modalities so as to finally obtain a more appropriate vocabulary wrt. the data structure.
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Conference papers
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https://hal.inria.fr/hal-01063443
Contributor : Olivier Pivert <>
Submitted on : Friday, September 12, 2014 - 10:46:55 AM
Last modification on : Friday, July 10, 2020 - 4:21:22 PM

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CNRS | UNIV-RENNES1 | IRISA | UPMC | LIP6 | IRISA-D7 | INSTITUT-TELECOM | INRIA | UR1-UFR-ISTIC | UNIV-RENNES | SORBONNE-UNIVERSITE | SU-SCIENCES | INSA-RENNES

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Grégory Smits, Olivier Pivert, Marie-Jeanne Lesot. A vocabulary revision method based on modality splitting. 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'14), Jul 2014, Montpellier, France. pp.140-149, ⟨10.1007/978-3-319-08852-5_15⟩. ⟨hal-01063443⟩

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