A Novel Approach Based on Fuzzy Rough Sets for Web Query System

2010 ◽  
pp. 667-673
Author(s):  
Jinghua Han ◽  
Gang Liu
Keyword(s):  
Rough Sets ◽  
Fuzzy Rough Sets ◽  
Novel Approach ◽  
Query System

A novel approach to fuzzy rough sets based on a fuzzy covering☆

2007 ◽  
Vol 177 (11) ◽  
pp. 2308-2326 ◽  
Author(s):  
T DENG ◽  
Y CHEN ◽  
W XU ◽  
Q DAI
Keyword(s):  
Rough Sets ◽  
Fuzzy Rough Sets ◽  
Novel Approach

TL-fuzzy set valued homomorphisms and generalized (I,T)-L-fuzzy rough sets on groups

Filomat ◽  
2017 ◽  
Vol 31 (13) ◽  
pp. 4153-4166
Author(s):  
Canan Ekiz ◽  
Muhammad Ali ◽  
Sultan Yamak
Keyword(s):  
Fuzzy Set ◽  
Rough Sets ◽  
Fuzzy Rough Sets

Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review

2021 ◽  
Author(s):  
Wanting Ji ◽  
Yan Pang ◽  
Xiaoyun Jia ◽  
Zhongwei Wang ◽  
Feng Hou ◽  
...  
Keyword(s):  
Neural Networks ◽  
Feature Selection ◽  
Rough Sets ◽  
Fuzzy Rough Sets

A novel identification approach for shearer running status through integration of rough sets and improved wavelet neural network

2016 ◽  
Vol 230 (16) ◽  
pp. 2792-2805 ◽  
Author(s):  
Lei Si ◽  
Zhongbin Wang ◽  
Xinhua Liu
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Rough Sets ◽  
Particle Swarm Optimization Algorithm ◽  
Wavelet Neural Network ◽  
Decision Table ◽  
Swarm Optimization ◽  
Novel Approach ◽  
Identification Approach ◽  
Simulation Results

In order to accurately and conveniently identify the shearer running status, a novel approach based on the integration of rough sets (RS) and improved wavelet neural network (WNN) was proposed. The decision table of RS was discretized through genetic algorithm and the attribution reduction was realized by MIBARK algorithm to simply the samples of WNN. Furthermore, an improved particle swarm optimization algorithm was proposed to optimize the parameters of WNN and the flowchart of proposed approach was designed. Then, a simulation example was provided and some comparisons with other methods were carried out. The simulation results indicated that the proposed approach was feasible and outperforming others. Finally, an industrial application example of mining automation production was demonstrated to verify the effect of proposed system.

Probabilistic fuzzy rough sets

2015 ◽  
Vol 29 (5) ◽  
pp. 1901-1912 ◽  
Author(s):  
Manish Aggarwal
Keyword(s):  
Rough Sets ◽  
Fuzzy Rough Sets
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