Fuzzy-Vocabulary-Based Detection and Explanation of Anomalies - Archive ouverte HAL Access content directly
Conference Papers Year :

Fuzzy-Vocabulary-Based Detection and Explanation of Anomalies


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.
Fichier principal
Vignette du fichier
2023137661.pdf (391.53 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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


  • HAL Id : hal-04122596 , version 1


Rahul Nath, Grégory Smits, Olivier Pivert. Fuzzy-Vocabulary-Based Detection and Explanation of Anomalies. 2023 IEEE International Conference on Fuzzy Systems, Aug 2023, Incheon, South Korea. ⟨hal-04122596⟩
17 View
7 Download


Gmail Facebook Twitter LinkedIn More