2025/06/29 by Mohammad Abdulla, Tobias Hille, Abdulla, Mohammad +5 · 1 citation
Computer Science · Decision Sciences · #Rough Sets and Fuzzy Logic #Advanced Algebra and Logic #Fuzzy and Soft Set Theory
paper · pdf · doi:10.48550/arxiv.2506.23168
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.