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

9783319993676, 9783319993683
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Dynamic and Discernibility Characteristics of Different Attribute Reduction Criteria

2018 ◽  
pp. 628-643 ◽  
Author(s):  
Dominik Ślęzak ◽  
Soma Dutta
Keyword(s):  
Attribute Reduction

Rule Induction Based on Indiscernible Classes from Rough Sets in Information Tables with Continuous Values

2018 ◽  
pp. 323-336 ◽  
Author(s):  
Michinori Nakata ◽  
Hiroshi Sakai ◽  
Keitarou Hara
Keyword(s):  
Rough Sets ◽  
Rule Induction ◽  
Information Tables

A Conflict Analysis Model Based on Three-Way Decisions

2018 ◽  
pp. 522-532 ◽  
Author(s):  
Yan Fan ◽  
Jianjun Qi ◽  
Ling Wei
Keyword(s):  
Conflict Analysis ◽  
Analysis Model ◽  
Model Based

Similarity Based Rough Sets with Annotation

2018 ◽  
pp. 88-100 ◽  
Author(s):  
Dávid Nagy ◽  
Tamás Mihálydeák ◽  
László Aszalós
Keyword(s):  
Rough Sets

Logic on Similarity Based Rough Sets

2018 ◽  
pp. 270-283 ◽  
Author(s):  
Tamás Mihálydeák
Keyword(s):  
Rough Sets

On Granular Rough Computing: Epsilon Homogenous Granulation

2018 ◽  
pp. 546-558 ◽  
Author(s):  
Krzysztof Ropiak ◽  
Piotr Artiemjew

Rough Set Approach to Sufficient Statistics

2018 ◽  
pp. 491-501
Author(s):  
Huynh Bao Tuyen ◽  
Ta Thi Thu Phuong ◽  
Dang Phuoc Huy
Keyword(s):  
Rough Set ◽  
Sufficient Statistics

Application of Greedy Heuristics for Feature Characterisation and Selection: A Case Study in Stylometric Domain

2018 ◽  
pp. 350-362 ◽  
Author(s):  
Urszula Stańczyk ◽  
Beata Zielosko ◽  
Krzysztof Żabiński
Keyword(s):  
Greedy Heuristics

NDER Attribute Reduction via an Ensemble Approach

2018 ◽  
pp. 187-201
Author(s):  
Huixiang Wen ◽  
Appiahmantey Eric ◽  
Xiangjian Chen ◽  
Keyu Liu ◽  
Pingxin Wang
Keyword(s):  
Attribute Reduction ◽  
Ensemble Approach
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