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Communication Dans Un Congrès Année : 2023

Fuzzy-Vocabulary-Based Detection and Explanation of Anomalies

Résumé

Fuzzy partitions associated with linguistic variables are particularly useful to provide users with a description of the data. However, designing a fuzzy vocabulary that makes it possible to linguistically describe the data distribution and its inner structure is a tedious task. This paper introduces a novel strategy to infer possible fuzzy partitions from the data distribution with the objective to have available modalities to describe both dense and sparse regions. A data inner structure as well as the anomalies are then identified using this vocabulary whose terms are also used to provide users with contrastive explanations about the found anomalies.
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Dates et versions

hal-04122596 , version 1 (08-06-2023)

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Citer

Rahul Nath, Grégory Smits, Olivier Pivert. Fuzzy-Vocabulary-Based Detection and Explanation of Anomalies. FUZZ 2023: IEEE International Conference on Fuzzy Systems, Aug 2023, Incheon, South Korea. ⟨10.1109/FUZZ52849.2023.10309771⟩. ⟨hal-04122596⟩
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