The geometry of three-way decision
Y Yao - Applied Intelligence, 2021 - Springer
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 …
solving, and information processing in threes. It explores the effective uses of triads of three …
Tri-level attribute reduction in rough set theory
Attribute reduction serves as a pivotal topic of rough set theory for data analysis. The ideas
of tri-level thinking from three-way decision can shed new light on three-level attribute …
of tri-level thinking from three-way decision can shed new light on three-level attribute …
A review of three-way decision: triadic understanding, organization, and perspectives
A theory of three-way decision is about thinking, problem-solving, and computing in threes
or through triads. In this paper, we review fifteen years of research on three-way decision by …
or through triads. In this paper, we review fifteen years of research on three-way decision by …
[HTML][HTML] A class-specific feature selection and classification approach using neighborhood rough set and K-nearest neighbor theories
Rough set theories are utilized in class-specific feature selection to improve the
classification performance of continuous data while handling data uncertainty. However …
classification performance of continuous data while handling data uncertainty. However …
Class-specific information measures and attribute reducts for hierarchy and systematicness
X Zhang, H Yao, Z Lv, D Miao - Information Sciences, 2021 - Elsevier
Attribute reduction of rough set theory underlies knowledge acquisition and has two
hierarchical types (classification-based and class-specific attribute reducts) and two …
hierarchical types (classification-based and class-specific attribute reducts) and two …
Feature selection in threes: neighborhood relevancy, redundancy, and granularity interactivity
As a fundamental granular computing strategy, neighborhood granulation has been
acknowledged as an intuitive and effective approach to feature evaluation and selection …
acknowledged as an intuitive and effective approach to feature evaluation and selection …
Label distribution feature selection for multi-label classification with rough set
W Qian, J Huang, Y Wang, Y Xie - International journal of approximate …, 2021 - Elsevier
Multi-label learning deals with cases where every instance corresponds to multiple labels.
The objective is to learn mapping from an instance to a relevant label set. Existing multi …
The objective is to learn mapping from an instance to a relevant label set. Existing multi …
Measurement, modeling, reduction of decision-theoretic multigranulation fuzzy rough sets based on three-way decisions
X Zhang, J Jiang - Information Sciences, 2022 - Elsevier
Variable precision multigranulation fuzzy rough sets (VP-MFRSs) use two direct integrations:
the multigranulation maximum and minimum. Their optimistic and pessimistic models …
the multigranulation maximum and minimum. Their optimistic and pessimistic models …
Complex network analysis of three-way decision researches
B Yang, J Li - International Journal of Machine Learning and …, 2020 - Springer
In this paper, complex networks are used to analyze the dataset of three-way decision
articles published before December 18, 2019 and downloaded from ISI Web of Science. The …
articles published before December 18, 2019 and downloaded from ISI Web of Science. The …
Formal concept analysis, rough sets, and three-way decisions
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 …
methods for data representation and analysis. They have been applied to data mining …