In recent years, FCA has received significant attention from research communities of various
fields. Further, the theory of FCA is being extended into different frontiers and augmented …

As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …

Incomplete contexts are a kind of formal contexts in which the relationship between some
objects and some attributes is unavailable or lost. Knowledge discovery in incomplete …

Abstract Formal Concept Analysis (FCA) is a mathematical framework for knowledge
processing tasks. FCA has been successfully incorporated into fuzzy setting and its …

Uncertainties are widespread in real-world situations. In the existing studies, the
uncertainties expressed by the agents engaged in a conflict situation have been extensively …

Formal Concept Analysis (FCA), in which data is represented as a formal context, offers a
framework for Association Rules Mining (ARM) by handling functional dependencies in the …

Abstract Formal Concept Analysis (FCA) is a mathematical framework that offers conceptual
data analysis and knowledge discovery. One of the main issues of knowledge discovery is …

In this paper we propose a method for reducing the number of formal concepts in formal
concept analysis of data with fuzzy attributes. We compute the weight of fuzzy formal …

Formal concept analysis (FCA) is a mathematical framework for data analysis and
processing tasks. Based on the lattice and order theory, FCA derives the conceptual …

Incomplete formal contexts are an extension of the classical formal contexts in which the
relationship between some objects and attributes is unknown according to the current …