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 …

Attribute reduction is an important step in reducing computational complexity in order to
extract information from relational systems. Three of these systems are the formal, object …

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

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 …

Owing to the easy access to social media, consumers or customers are increasingly turning
to social media to express their grievances and feedback on various products and services …

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 …

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 …

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 …

BACKGROUND: Celiac disease (CD) is a difficult-to-diagnose condition because of its
multiple clinical presentations and symptoms shared with other diseases. Gold-standard …

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 …