Results 1 to 10 of about 553 (154)

Accelerated Feature Selection via Discernibility Hashing: A Rough Set Approach [PDF]

Entropy
As a foundational analytical tool, the discernibility matrix plays a pivotal role in the systematic reduction of knowledge in rough set-based systems. Recent advancements in rough set theory have witnessed the proliferation of discernibility matrix-based
Sheng Luo, Linxiang Shi, Lin Chen, Xiaolin Cao   +3 more
doaj   +2 more sources

Discernibility matrix simplification for constructing attribute reducts [PDF]

Information Sciences, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yiyu Yao
exaly   +4 more sources

Discernibility Matrix and Its Application in Logical Optimization

Jisuanji kexue yu tansuo, 2021
The simplification of truth table is of great significance to the analysis and design of logic circuits. In this paper, the simplification of truth table is studied, and a method of GDM (granular discernibility matrix) that uses discernibility matrix is ...
YAN Xinyi, WEN Xin, CHEN Zehua
doaj   +2 more sources

Soft Incomplete Discernibility Matrix for Decision-Making Problems

IEEE Access, 2018
Many decision-making processes are determined in an incomplete data environment. The analysis of decision-making problems on incomplete soft set data is usually performed by first estimating incomplete values.
Lue Li, Zhi Xiao, Xiao-Dong Feng, Bo Zhong   +3 more
doaj   +3 more sources

Feature Reduction for Power System Transient Stability Assessment Based on Neighborhood Rough Set and Discernibility Matrix

Energies, 2018
In machine learning-based transient stability assessment (TSA) problems, the characteristics of the selected features have a significant impact on the performance of classifiers.
Bingyang Li, Jianmei Xiao, Xihuai Wang
doaj   +3 more sources

Heart disease prediction using rough neutrosophic sets and dual-attention neural networks: RNS-OptiDANet [PDF]

Frontiers in Artificial Intelligence
IntroductionHeart disease is a major global health problem that highlights the need for effective and accurate prediction methods.MethodsThis paper presents RNS-OptiDANet, a hybrid framework that combines rough set theory (RST), rough neutrosophic sets ...
T. Ashika, G. Hannah Grace
doaj   +2 more sources

An Efficient Algorithm for Pawlak Reduction Based on Simplified Discernibility Matrix [PDF]

Fuzzy Information and Engineering, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bing-Ru Yang
exaly   +2 more sources

Rule Acquisition Algorithm Based on Enriching Discernibility Matrix [PDF]

Jisuanji gongcheng, 2016
Currently,the discernibility matrix method which is based on HU is not only time-consuming but also takes up a lot of storage space,so that the efficiency of the method is not high.Some scholars use the method of pairwise comparisons between elements to ...
ZHU Jinhu,XU Zhangyan,QIAO Lijuan,XIE Xiaojun,WANG Ting
doaj   +1 more source

Using Covering Reduction to Identify Reducts for Object-Oriented Concept Lattices

Axioms, 2022
An object-oriented concept lattice, as an important generalization of classic concept lattices, is a bridge between formal concept analysis and rough set theory. This paper presents an application of covering reduction in formal concept analysis.
Guilong Liu
doaj   +1 more source

Incremental Attribute Reduction Algorithm Based on Binary Discernibility Matrix [PDF]

Jisuanji gongcheng, 2017
Incremental attribute reduction algorithm is one of the important research contents in the area of dyanmic data mining.To reduce the storage space of binary discernibility matrix,and by combining the advantages of the binary discernibility matrix that it
DING Mianwei,ZHANG Tengfei,MA Fumin
doaj   +1 more source