Rough Sets - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030228149, 9783030228156
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Three–Way Classification: Ambiguity and Abstention in Machine Learning

2019 ◽  
pp. 280-294 ◽  
Author(s):  
Andrea Campagner ◽  
Federico Cabitza ◽  
Davide Ciucci
Keyword(s):  
Machine Learning

Rough Sets Defined by Multiple Relations

2019 ◽  
pp. 40-51 ◽  
Author(s):  
Jouni Järvinen ◽  
László Kovács ◽  
Sándor Radeleczki
Keyword(s):  
Rough Sets

A Bibliometric Profile of Research on Rough Sets

2019 ◽  
pp. 534-548 ◽  
Author(s):  
Wenjie Wei ◽  
Duoqian Miao ◽  
Yuxiang Li
Keyword(s):  
Rough Sets ◽  
Bibliometric Profile

Methods to Edit Multi-label Training Sets Using Rough Sets Theory

2019 ◽  
pp. 369-380 ◽  
Author(s):  
Marilyn Bello ◽  
Gonzalo Nápoles ◽  
Koen Vanhoof ◽  
Rafael Bello
Keyword(s):  
Rough Sets ◽  
Rough Sets Theory ◽  
Sets Theory ◽  
Training Sets

Constructing the Optimal Approximation Sets of Rough Sets in Multi-granularity Spaces

2019 ◽  
pp. 341-355
Author(s):  
Qinghua Zhang ◽  
Fan Zhao ◽  
Xu Yubin ◽  
Jie Yang
Keyword(s):  
Rough Sets ◽  
Optimal Approximation
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