Abstract. In this work, we analyze how the linguistic labels of a lin-guistic variable can be a useful tool in the L-Fuzzy Concept Theory. In concrete, we study the L-Fuzzy concepts obtained from a departure set represented by means of these linguistic labels applied to the set of objects or attributes. We also illustrate the results by means of an example. 1 Introduction. The Formal Concept Analysis developed by Wille ([18]) tries to extract some information from a binary table that represents a formal context (X,Y,R) with X and Y two finite sets (of objects and attributes, respectively) and R ⊆ X × Y. This information is obtained by means of the formal concepts which ar
F~zzy sets theory and fuzzy logic constitute the basis for the l inguist ic approach. Under this app...
There exist several proposals for extending formal concept analysis (FCA) to fuzzy settings. They fo...
In the analysis of relations among the elements of two sets it is usual to obtain different values d...
AbstractThe use of linguistic variables and fuzzy propositions in the interval-valued L-Fuzzy contex...
In 1882 Wille published the paper titled Restructuring lattice theory: an approach based on hierarch...
The L-Fuzzy concept theory that we have developed sets up classifications from the objects and attri...
Abstract We introduce linguistic rough set (LRS) by integrating linguistic quantifiers in the rough ...
In this paper our aim is to explore a new look at formal systems of fuzzy logics using the framework...
In this paper we try to combine two approaches. One is the theory of knowledge graphs in which conce...
Abstract. We provide a new approach to synthesis of Formal Concept Analysis and Rough Set Theory. In...
In this position paper, we focus on the framework of Chu correspondences extending Mori’s approach [...
Given a finite totally ordered set of linguistic descriptions, the extended set of qualitative label...
In this work, we study the relation between the concept lattice of Wille ([5], [6]) and the $L-Fuz...
Abstract. We focus on two approaches to formal concept analysis (FCA) of data with fuzzy attributes ...
In this paper we extend some previously established links between the derivation operators used in f...
F~zzy sets theory and fuzzy logic constitute the basis for the l inguist ic approach. Under this app...
There exist several proposals for extending formal concept analysis (FCA) to fuzzy settings. They fo...
In the analysis of relations among the elements of two sets it is usual to obtain different values d...
AbstractThe use of linguistic variables and fuzzy propositions in the interval-valued L-Fuzzy contex...
In 1882 Wille published the paper titled Restructuring lattice theory: an approach based on hierarch...
The L-Fuzzy concept theory that we have developed sets up classifications from the objects and attri...
Abstract We introduce linguistic rough set (LRS) by integrating linguistic quantifiers in the rough ...
In this paper our aim is to explore a new look at formal systems of fuzzy logics using the framework...
In this paper we try to combine two approaches. One is the theory of knowledge graphs in which conce...
Abstract. We provide a new approach to synthesis of Formal Concept Analysis and Rough Set Theory. In...
In this position paper, we focus on the framework of Chu correspondences extending Mori’s approach [...
Given a finite totally ordered set of linguistic descriptions, the extended set of qualitative label...
In this work, we study the relation between the concept lattice of Wille ([5], [6]) and the $L-Fuz...
Abstract. We focus on two approaches to formal concept analysis (FCA) of data with fuzzy attributes ...
In this paper we extend some previously established links between the derivation operators used in f...
F~zzy sets theory and fuzzy logic constitute the basis for the l inguist ic approach. Under this app...
There exist several proposals for extending formal concept analysis (FCA) to fuzzy settings. They fo...
In the analysis of relations among the elements of two sets it is usual to obtain different values d...