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TITLE:
Fuzzy-LORE: A Method for Extracting Local and Counterfactual Explanations Using Fuzzy Decision Trees - imarina:9386103

URV's Author/s:Moreno Ribas, Antonio / Valls Mateu, Aïda
Author, as appears in the article.:Maaroof N; Moreno A; Jabreel M; Valls A
Author's mail:aida.valls@urv.cat
antonio.moreno@urv.cat
Author identifier:0000-0003-3616-7809
0000-0003-3945-2314
Journal publication year:2022
Publication Type:Proceedings Paper
APA:Maaroof N; Moreno A; Jabreel M; Valls A (2022). Fuzzy-LORE: A Method for Extracting Local and Counterfactual Explanations Using Fuzzy Decision Trees. Amsterdam: IOS Press
Papper original source:Frontiers In Artificial Intelligence And Applications. 356 345-354
Abstract:Classification systems based Machine Learning hide the logic of their internal decision processes from the users. Hence, post-hoc explanations about their predictions are often required. This paper proposes Fuzzy-LORE, a method that generates local explanations for fuzzy-based Machine Learning systems. First, it learns a local fuzzy decision tree using a set of synthetic neighbours from the input instance. Then, it extracts from the logic of the fuzzy decision tree a meaningful explanation consisting of a set of decision rules (which explain the reasons behind the decision), a set of counterfactual rules (which inform of small changes in the instance's features that would lead to a different outcome), and finally a set of specific counterfactual examples. Our experiments on a real-world medical dataset show that Fuzzy-LORE outperforms prior approaches and methods for generating local explanations.
Article's DOI:10.3233/FAIA220357
Link to the original source:https://ebooks.iospress.nl/doi/10.3233/FAIA220357
Papper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Enginyeria Informàtica i Matemàtiques
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Artificial intelligence
Ciências agrárias i
Comunicació i informació
Engenharias iii
Engenharias iv
General o multidisciplinar
Información y documentación
Interdisciplinar
Medicina ii
Keywords:Diabetic retinopathy
Explainable ai (xai)
Fuzzy decision tree
Lore
Machine learning
Entity:Universitat Rovira i Virgili
Record's date:2024-10-12
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