%0 Journal Article 
%A Chacón Gómez, Fernando
%A Cornejo Piñero, María Eugenia
%A Dubois, Didier
%A Medina Moreno, Jesús
%A Prade, Henri
%T Handling incomplete information in formal concept analysis - a possibilistic approach
%D 2026
%@ 1807-0302

%U http://hdl.handle.net/10498/39559
%X It is very common to find databases with missing information. Therefore, it is important to
develop formal tools. This paper focuses on the contribution of Formal Concept Analysis to
this fundamental goal. For this purpose, five forms of attribute implications are extracted from
incomplete contexts, which are analyzed from two different approaches. The first approach
follows the traditional recipe taking into account the well-known characterizations about the
validity of attribute implications. The second approach goes further by considering possibility
theory. Specifically, possibility and necessity measures are defined in order to establish the
plausibility and certainty of relevant statements pertaining to an incomplete context.
%K Possibility Theory
%K Formal Concept Analysis
%K Attribute Implications
%K Incomplete Information
%~ Universidad de Cádiz