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 …

The main task of granular computing (GrC) is about representing, constructing, and
processing information granules. Information granules are formalized in many different …

Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …

It is beneficial to automate the process of deriving concept hierarchies from corpora since a
manual construction of concept hierarchies is typically a time-consuming and resource …

Energy sector is being revolutionized with the introduction of digitalization technologies.
Digitalization technologies converted conventional energy grids into smart grids. Therefore …

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

Formal concept analysis (FCA) is currently considered an important formalism for knowledge
representation, extraction and analysis with applications in different areas. A problem …

In formal concept analysis, many reduction methods have recently been proposed for formal
decision contexts, and each of them was to reduce formal decision contexts with a particular …

Rule acquisition is one of the main purposes in the analysis of decision formal contexts. Up
to now, there have existed several types of rules (eg, the decision rules and the granular …

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 …