On the size of ∃ -generalized concept lattices

Kwuida, Léonard; Kuitché, Rostand S.; Temgoua, Romuald E.A. (2020). On the size of ∃ -generalized concept lattices Discrete Applied Mathematics, 273, pp. 205-216. 10.1016/j.dam.2019.02.035

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Formal Concept Analysis (FCA) offers several tools for qualitative data analysis. One possibility is to group objects that share common attributes together and get a concept lattice that describes the data. Quite often the size of this concept lattice is very large. Many authors have investigated methods to reduce the size of this lattice. In Kwuida et al. (2014) the authors consider putting together some attributes to reduce the size of the attribute sets. But this reduction does not always carry over to the set of concepts. They provided some counter examples where the size of the concept lattice increases by one after putting two attributes together, and asked the following question: ‘‘How many new concepts can be generated by an ∃-generalization on just two attributes?’’ The present paper provides a family of contexts for which the size increases on more than one concept after putting solely two attributes together.

Item Type:	Journal Article (Original Article)
Division/Institute:	Business School > Business Foundations and Methods
Name:	Kwuida, Léonard0000-0002-9811-0747; Kuitché, Rostand S. and Temgoua, Romuald E.A.
ISSN:	0166218X
Language:	English
Submitter:	Léonard Kwuida
Date Deposited:	01 Oct 2020 14:34
Last Modified:	24 Sep 2021 02:18
Publisher DOI:	10.1016/j.dam.2019.02.035
Uncontrolled Keywords:	Formal concept analysis Concept lattices Generalizing attributes
ARBOR DOI:	10.24451/arbor.12974
URI:	https://arbor.bfh.ch/id/eprint/12974