English

Rises for Measuring Local Distributivity in Lattices

Artificial Intelligence 2025-07-01 v1 Discrete Mathematics Combinatorics Rings and Algebras

Abstract

Distributivity is a well-established and extensively studied notion in lattice theory. In the context of data analysis, particularly within Formal Concept Analysis (FCA), lattices are often observed to exhibit a high degree of distributivity. However, no standardized measure exists to quantify this property. In this paper, we introduce the notion of rises in (concept) lattices as a means to assess distributivity. Rises capture how the number of attributes or objects in covering concepts change within the concept lattice. We show that a lattice is distributive if and only if no non-unit rises occur. Furthermore, we relate rises to the classical notion of meet- and join distributivity. We observe that concept lattices from real-world data are to a high degree join-distributive, but much less meet-distributive. We additionally study how join-distributivity manifests on the level of ordered sets.

Cite

@article{arxiv.2506.23168,
  title  = {Rises for Measuring Local Distributivity in Lattices},
  author = {Mohammad Abdulla and Tobias Hille and Dominik Dürrschnabel and Gerd Stumme},
  journal= {arXiv preprint arXiv:2506.23168},
  year   = {2025}
}

Comments

16 pages, 2 tables, 5 figures, International Joint Conference on Conceptual Knowledge Structures

R2 v1 2026-07-01T03:38:21.800Z