RT journal article
T1 Handling incomplete information in formal concept analysis - a possibilistic approach
A1 Chacón Gómez, Fernando
A1 Cornejo Piñero, María Eugenia
A1 Dubois, Didier
A1 Medina Moreno, Jesús
A1 Prade, Henri
A2 Matemáticas
K1 Possibility Theory
K1 Formal Concept Analysis
K1 Attribute Implications
K1 Incomplete Information
AB It is very common to find databases with missing information. Therefore, it is important todevelop formal tools. This paper focuses on the contribution of Formal Concept Analysis tothis fundamental goal. For this purpose, five forms of attribute implications are extracted fromincomplete contexts, which are analyzed from two different approaches. The first approachfollows the traditional recipe taking into account the well-known characterizations about thevalidity of attribute implications. The second approach goes further by considering possibilitytheory. Specifically, possibility and necessity measures are defined in order to establish theplausibility and certainty of relevant statements pertaining to an incomplete context.
PB Springer Nature
SN 1807-0302
YR 2026
FD 2026
LK http://hdl.handle.net/10498/39559
UL http://hdl.handle.net/10498/39559
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026