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Grant support

This work was supported in part by the Spanish State Research Agency under Grant PRE2019-090153 and in part by the European Union's Horizon Europe research and innovation programme under Grant Agreement No. 101080430 (AI4HF project). This work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No 860621. This work was also supported under Grant PID2021-123152OB-C21 funded by MCIN/AEI/10.13039/501100011033 and by "ESF Investing in your future", under Grant TED2021-130295B-C33 funded by MCIN/AEI/10.13039/501100011033 and by the "European Union NextGenerationEU/PRTR", and the Galician Ministry of Culture, Education, Professional Training and University (Grants ED431G2019/04 and ED431C2022/19 co-funded by the European Regional Development Fund, ERDF/FEDER program).

Analysis of institutional authors

Stepin, IliaCorresponding Author

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Proceedings Paper

A software solution for building fuzzy-grounded interactive dialogue-based explanations

Publicated to:2024 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ-IEEE 2024. - 2024-01-01 (), DOI: 10.1109/FUZZ-IEEE60900.2024.10612093

Authors: Stepin, Ilia; Catala, Alejandro; Alonso-Moral, Jose M

Affiliations

Univ Barcelona, Fac Matemat & Informat, Artificial Intelligence Med Lab BCN AIM, Barcelona, Spain - Author
Univ Santiago de Compostela, Ctr Singular Invest Tecnol Intelixentes CiTIUS, Santiago De Compostela, Spain - Author

Abstract

Fuzzy rule-based classification systems are known to make predictions based on the knowledge that is embedded in their rule bases. Whereas one-shot explanations extracted from a rule base can be made interpretable, they suffer from a lack of interaction with the user leaving the social aspect of explanation unaddressed. In this paper, we present a dialogue system allowing for communication of automated textual explanations for the output of fuzzy classifiers to the end user in natural language. Importantly, the underlying explanation communication framework allows the user to iteratively explore the explanation space of the given fuzzy rule-based classifier, making the resulting explanations interactive in accordance with the recent considerations for automated explanations. In addition, we demonstrate the usage of the software with two illustrative use cases. It is worth noting that the software presented in this paper is made publicly available.

Keywords

Explainable artificial intelligenceHuman-machine interactioHuman-machine interactionIeee 1855-2016Ieee 18552016Interpretable fuzzy modeling

Quality index

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (STEPIN, ILIA) .

the author responsible for correspondence tasks has been STEPIN, ILIA.