Triadic data: Representation and reduction
Version
Published
Identifiers
10.1016/j.ijar.2025.109532
Date Issued
2025-12
Author(s)
Type
Article
Language
English
Abstract
Triadic Concept Analysis (TCA) is an extension of Formal Concept Analysis (FCA) for handling data represented as a set of objects described by attributes and conditions via a ternary relation. However, the intuition to go from FCA to TCA is not always straightforward. In this paper we discuss some FCA notions from dyadic to triadic. Although some ideas admit straightforward adaptation, most do not. In particular, we address the representation problem, the notion of redundant attributes and subcontexts in the triadic setting.
Publisher DOI
Journal or Serie
International Journal of Approximate Reasoning
ISSN
0888-613X
Organization
Volume
187
Publisher
Elsevier
Submitter
Kwuida, Léonard
Citation apa
Kouankam Djouohou, A. L., Koguep Njionou, B. B., & Kwuida, L. (2025). Triadic data: Representation and reduction. In International Journal of Approximate Reasoning (Vol. 187). Elsevier. https://doi.org/10.24451/dspace/12272
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1-s2.0-S0888613X25001732-main (1).pdf
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Attribution 4.0 International
Version
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1016.45 KB
Format
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