[HTML][HTML] Cost-sensitive sequential three-way decision modeling using a deep neural network
Abstract Three-way decision (3WD) models have been widely investigated in the fields of
approximate reasoning and decision making. Recently, sequential 3WD models have …
approximate reasoning and decision making. Recently, sequential 3WD models have …
An efficient selector for multi-granularity attribute reduction
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 …
mathematical tools in Granular Computing especially rough set. Nevertheless, as a key topic …
Rough sets in machine learning: a review
This chapter emphasizes on the role played by rough set theory (RST) within the broad field
of Machine Learning (ML). As a sound data analysis and knowledge discovery paradigm …
of Machine Learning (ML). As a sound data analysis and knowledge discovery paradigm …
[HTML][HTML] Accelerator for supervised neighborhood based attribute reduction
In neighborhood rough set, radius is a key factor. Different radii may generate different
neighborhood relations for discriminating samples. Unfortunately, it is possible that two …
neighborhood relations for discriminating samples. Unfortunately, it is possible that two …
Three-way decisions and three-way clustering
H Yu - Rough Sets: International Joint Conference, IJCRS …, 2018 - Springer
A theory of three-way decisions is formulated based on the notions of three regions and
associated actions for processing the three regions. Inspired by the theory of three-way …
associated actions for processing the three regions. Inspired by the theory of three-way …
Ensemble selector for attribute reduction
X Yang, Y Yao - Applied Soft Computing, 2018 - Elsevier
Through abstracting commonness from the existing heuristic algorithms, control strategies
bring us higher level understandings of building reducts in rough set theory. To further …
bring us higher level understandings of building reducts in rough set theory. To further …
Random sampling accelerator for attribute reduction
Z Chen, K Liu, X Yang, H Fujita - International Journal of Approximate …, 2022 - Elsevier
As one of the crucial topics in the development of rough set, attribute reduction has received
extensive attentions because it is practical and interpretable for us to perform dimensional …
extensive attentions because it is practical and interpretable for us to perform dimensional …
Robust supervised rough granular description model with the principle of justifiable granularity
In recent years, granular computing has been developed as a unified data description
paradigm. As a popular soft computing supervised learning model, rough sets theory-based …
paradigm. As a popular soft computing supervised learning model, rough sets theory-based …
Supervised information granulation strategy for attribute reduction
In rough set based Granular Computing, neighborhood relation has been widely accepted
as one of the most popular approaches for realizing information granulation. Such approach …
as one of the most popular approaches for realizing information granulation. Such approach …
Sequential three-way classifier with justifiable granularity
Sequential three-way decisions approach has been demonstrated as an effective
methodology of human problem solving with the aid of multiple levels of granularity …
methodology of human problem solving with the aid of multiple levels of granularity …