Flexible categorization using formal concept analysis and Dempster-Shafer theory
Artificial Intelligence
2024-12-30 v2
Abstract
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.
Keywords
Cite
@article{arxiv.2408.15012,
title = {Flexible categorization using formal concept analysis and Dempster-Shafer theory},
author = {Marcel Boersma and Krishna Manoorkar and Alessandra Palmigiano and Mattia Panettiere and Apostolos Tzimoulis and Nachoem Wijnberg},
journal= {arXiv preprint arXiv:2408.15012},
year = {2024}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2210.17330