We provide a generalization of one-sided (crisp-fuzzy) concept lattices, based on Galois connections. Our approach allows analysis of object-attribute models with different structures for truth values of attributes. Moreover, we prove that this method of creating one-sided concept lattices is the most general one, i.e., with respect to the set of admissible formal contexts, it produces all Galois connections between power sets and the products of complete lattices. Some possible applications of this approach are also included
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Since its introduction in the eighties by B. Ganter and R. Wille, Formal Concept Analysis has bec...
Generalized one-sided concept lattices represent one of the conceptual data mining methods, suitabl...
In this paper we describe possible interpretation and reduction of fuzzy attributes in Generalized O...
In this paper we describe possible interpretation and reduction of fuzzy attributes in Generalized O...
In this paper we present the study on the usage of distributed version of the algorithm for generali...
Presented is a reduction of fuzzy Galois connections and fuzzy concept lattices to (crisp) Galois co...
In this paper we describe possible interpretation and reduction of fuzzy attributes in GeneralizedOn...
Galois connections appear in several areas of mathematics and computer science, and their applicatio...
In this paper we describe the application of Formal Concept Analysis (FCA) for analysis of data tabl...
In this paper we describe the application of Formal Concept Analysis (FCA) for analysis of data tabl...
In Formal Concept Analysis the classical formal context is analized taking into account only the po...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Since its introduction in the eighties by B. Ganter and R. Wille, Formal Concept Analysis has bec...
Generalized one-sided concept lattices represent one of the conceptual data mining methods, suitabl...
In this paper we describe possible interpretation and reduction of fuzzy attributes in Generalized O...
In this paper we describe possible interpretation and reduction of fuzzy attributes in Generalized O...
In this paper we present the study on the usage of distributed version of the algorithm for generali...
Presented is a reduction of fuzzy Galois connections and fuzzy concept lattices to (crisp) Galois co...
In this paper we describe possible interpretation and reduction of fuzzy attributes in GeneralizedOn...
Galois connections appear in several areas of mathematics and computer science, and their applicatio...
In this paper we describe the application of Formal Concept Analysis (FCA) for analysis of data tabl...
In this paper we describe the application of Formal Concept Analysis (FCA) for analysis of data tabl...
In Formal Concept Analysis the classical formal context is analized taking into account only the po...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a l...
Since its introduction in the eighties by B. Ganter and R. Wille, Formal Concept Analysis has bec...