Covering based multi-granulation rough fuzzy sets with applications to feature selection

Z Huang, J Li - Expert Systems with Applications, 2024 - Elsevier
Feature selection acts as an important preprocessing method to reduce redundant
information. In order to effectively evaluate the classification information hidden in a given …

Incremental updating fuzzy tolerance rough set approach in intuitionistic fuzzy information systems with fuzzy decision

L Wang, Z Pei, K Qin, L Yang - Applied Soft Computing, 2024 - Elsevier
As information technology develops rapidly and data is constantly updated, efficient mining
knowledge from dynamic intuitionistic fuzzy information systems with fuzzy decision (IFFD) is …

Hybrid similarity relation based mutual information for feature selection in intuitionistic fuzzy rough framework and its applications

AK Tiwari, R Saini, A Nath, P Singh, MA Shah - Scientific Reports, 2024 - nature.com
Fuzzy rough entropy established in the notion of fuzzy rough set theory, which has been
effectively and efficiently applied for feature selection to handle the uncertainty in real …

Matrix-based approximation dynamic update approach to multi-granulation neighborhood rough sets for intuitionistic fuzzy ordered datasets

X Zhang, J Wang, J Hou - Applied Soft Computing, 2024 - Elsevier
With the explosive growth and rapid changes in the use of data, information systems are
constantly evolving. Timely dynamic updates have become imperative with real-time …

Covering-based -multi-granulation bipolar fuzzy rough set model under bipolar fuzzy preference relation with decision-making applications

R Gul, M Shabir, AN Al-Kenani - Complex & Intelligent Systems, 2024 - Springer
The rough set (RS) and multi-granulation rough set (MGRS) theories have been successfully
extended to accommodate preference analysis by substituting the equivalence relation (ER) …

[引用][C] Covering-based (, ˇ)-multi-granulation bipolar fuzzy rough set model under bipolar fuzzy preference relation with decision-making applications