V. V. Cross

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A generic formal concept analysis tool multi-FCA takes as input a set of objects and a set of attributes describing those objects with the restriction that the attributes exist as concepts in an ontological terminology. It produces a variety of concept lattices, incorporates the characteristics of the structure of the ontological terminology in the creation(More)
Formal concept analysis (FCA) has developed into an accepted knowledge discovery paradigm being productively used in solving practical problems involving clustering, classification or association discovery. FCA is being applied to annotation files and their associated ontological terminology. Here the formal context is a matrix whose rows correspond to the(More)
Much research in the use of concept lattices for knowledge discovery and data mining has occurred in the past several years. Various approaches have also been proposed to create fuzzy formal contexts and to transform these into fuzzy concept lattices. This paper first briefly reviews concept lattices and then presents several approaches to creating fuzzy(More)
Concept lattices are being used in the area of knowledge discovery and data mining. Since the information used to create a formal context may have some uncertainty associated with it, a variety of methods have been proposed to create fuzzy formal contexts and to transform these into fuzzy concept lattices. This paper reviews two of these methods to creating(More)
Various approaches have been proposed to perform concept approximation using a concept lattice developed from a formal context. This paper reviews several of these approaches and examines the relationships among them. Since concept approximation is also strongly related to determining the similarity between concepts within a concept lattice, a variety of(More)
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