A theory of three-way decision concerns the art, science, and practice of thinking, problem
solving, and information processing in threes. It explores the effective uses of triads of three …

This paper presents the first detailed analysis of the semantics of N-soft sets. The two
benchmark semantics associated with soft sets are perfect fits for N-soft sets. We argue that …

Three-way clustering receives its motivation from three-way decisions. It uses the core set
and support set to describe a cluster. The two sets divide clustering results into three parts or …

Formal concept analysis, rough sets, and three-way decisions are prominent theories and
methods for data representation and analysis. They have been applied to data mining …

Abstract Three-way decisions (3WDs) is a typical method for dealing with uncertain issues. It
is essentially an extension of two-way decisions (2WDs). What is the superiority of …

Alongside the particular need to explain the behavior of black box artificial intelligence (AI)
systems, there is a general need to explain the behavior of any type of AI-based system (the …

Formal concept analysis (FCA) is an unsupervised machine learning technique used for
knowledge discovery and representation. A major task in FCA is the enumeration of the …

In the sequential three-way decision model (S3WD), conditional probability and decision
threshold pair are two key elements affecting the classification results. The classical model …

Abstract Concept Mining is one of the main challenges both in Cognitive Computing and in
Machine Learning. The ongoing improvement of solutions to address this issue raises the …

In ontology engineering, reusing (or extending) ontologies poses a significant challenge,
requiring revising their ontological commitments and ensuring accurate representation and …