Flexible categorization using formal concept analysis and Dempster-Shafer theory
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Abstract (arXiv)
The framework developed in the present paper provides a formal ground to generate and study explainable categorizations of sets of entities, based on the epistemic attitudes of individual agents or groups thereof. Based on this framework, we discuss a machine-leaning meta-algorithm for outlier detection and classification which provides local and global explanations of its results.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 23 of its 143 references that are in the map. First posted on arXiv 23 Aug 2024.
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23 of 143 references.
References · 23
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11 more
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- 2022Flexible categorization for auditing using formal concept analysis and Dempster-Shafer theorycited by 3
- 2023A Meta-Learning Algorithm for Interrogative Agendascited by 2
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