Two-way concept-cognitive learning method: a fuzzy-based progressive learning
Granular computing (GrC) and two-way concept learning (TCL) are influential studies of
knowledge processing and cognitive learning. A central notion of two-way concept learning …
knowledge processing and cognitive learning. A central notion of two-way concept learning …
Tri-level thinking: models of three-way decision
Y Yao - International Journal of Machine Learning and …, 2020 - Springer
The underlying philosophy of three-way decision is thinking in threes, namely,
understanding and processing a whole through three distinct and related parts. One can …
understanding and processing a whole through three distinct and related parts. One can …
Rules acquisition of formal decision contexts based on three-way concept lattices
L Wei, L Liu, J Qi, T Qian - Information Sciences, 2020 - Elsevier
Three-way concept lattices can supply much more information than classical concept lattices
since they contain the positive information and negative information between objects and …
since they contain the positive information and negative information between objects and …
Tri-granularity attribute reduction of three-way concept lattices
A real-world dataset often generates a huge concept lattice that may be difficult to
understand and impractical to use. The principle of granular computing is that we can …
understand and impractical to use. The principle of granular computing is that we can …
[HTML][HTML] Three-way dual concept analysis
H Zhi, J Qi, T Qian, L Wei - International Journal of Approximate Reasoning, 2019 - Elsevier
Three-way concept analysis is a mathematical theory, which combines formal concept
analysis and three-way decision. The existing models, ie, three-way concept lattices and …
analysis and three-way decision. The existing models, ie, three-way concept lattices and …
Fuzzy-based concept learning method: Exploiting data with fuzzy conceptual clustering
Concepts have been adopted in concept-cognitive learning (CCL) and conceptual clustering
for concept classification and concept discovery. However, the standard CCL algorithms are …
for concept classification and concept discovery. However, the standard CCL algorithms are …
Three-way k-means: integrating k-means and three-way decision
P Wang, H Shi, X Yang, J Mi - … journal of machine learning and cybernetics, 2019 - Springer
The traditional k-means, which unambiguously assigns an object precisely to a single
cluster with crisp boundary, does not adequately show the fact that a cluster may not have a …
cluster with crisp boundary, does not adequately show the fact that a cluster may not have a …
Concept-cognitive learning survey: Mining and fusing knowledge from data
Abstract Concept-cognitive learning (CCL), an emerging intelligence learning paradigm, has
recently become a popular research subject in artificial intelligence and cognitive …
recently become a popular research subject in artificial intelligence and cognitive …
A general conflict analysis model based on three-way decision
G Lang - International Journal of Machine Learning and …, 2020 - Springer
In a three-valued situation table, researchers have investigated the relationship between two
agents by using auxiliary and distance functions, and proposed several models of conflict …
agents by using auxiliary and distance functions, and proposed several models of conflict …
Multiview granular data analytics based on three-way concept analysis
Multiview granular data analytics reflects various aspects of the knowledge embodied in
data by multiple granular structures. It has been investigated in many topics closely related …
data by multiple granular structures. It has been investigated in many topics closely related …