An approach based on rough set theory for identification of single and multiple partial discharge source

2013 ◽  
Vol 46 ◽  
pp. 163-174 ◽  
Author(s):  
Subrata Biswas ◽  
Debangshu Dey ◽  
Biswendu Chatterjee ◽  
Sivaji Chakravorti
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Partial Discharge ◽  
Discharge Source

scholarly journals Rough set theory applied to pattern recognition of Partial Discharge in noise affected cable data

2017 ◽  
Vol 24 (1) ◽  
pp. 147-156 ◽  
Author(s):  
Xiaosheng Peng ◽  
Jinyu Wen ◽  
Zhaohui Li ◽  
Guangyao Yang ◽  
Chengke Zhou ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Partial Discharge

A rough set theory application in forecasting models

2020 ◽  
Vol 3 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Haresh Sharma ◽  
◽  
Kriti Kumari ◽  
Samarjit Kar ◽  
◽  
...  
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Forecasting Models ◽  
Theory Application

Extraction of Geo-spatial Relationship Rules Based on Rough Set Theory: Exemplified by Land Use

2009 ◽  
Vol 11 (2) ◽  
pp. 139-144
Author(s):  
Feng CAO ◽  
Yunyan DU ◽  
Yong GE ◽  
Deyu LI ◽  
Wei WEN
Keyword(s):  
Land Use ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Spatial Relationship

Analysing diabetes using rough sets

2020 ◽  
pp. 533-538
Author(s):  
S. Arjun Raj ◽  
M. Vigneshwaran
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Sets ◽  
Rough Set Theory ◽  
International Diabetes Federation ◽  
Published Data ◽  
Lower And Upper Approximations

In this article we use the rough set theory to generate the set of decision concepts in order to solve a medical problem.Based on officially published data by International Diabetes Federation (IDF), rough sets have been used to diagnose Diabetes.The lower and upper approximations of decision concepts and their boundary regions have been formulated here.

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