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 …

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 …

Presently, the mechanism of multi-granularity has been frequently realized by various
mathematical tools in Granular Computing especially rough set. Nevertheless, as a key topic …

Recently, by combining rough set theory with granular computing, pessimistic and optimistic
multigranulation rough sets have been proposed to derive “AND” and “OR” decision rules …

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) has demonstrated its effectiveness in classification through
various studies. A few types of FCA-based classifiers, such as rule-based, concept-cognitive …

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 …

In this paper, we present a new pair of adjoint map**s between a power set and the direct
product of complete lattices. The proposed pair of adjoint map**s form a Galois …

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 order to enrich the existing rule acquisition theory in formal decision contexts, this study
puts forward three new types of rules: decision association rules, non-redundant decision …