Editors:

Sheela Ramanna
1. University of Winnipeg, Winnipeg, Canada
View editor publications

You can also search for this editor in PubMed Google Scholar
Chris Cornelis
1. Ghent University, Gent, Belgium
View editor publications

You can also search for this editor in PubMed Google Scholar
Davide Ciucci
1. University of Milano-Bicocca, Milan, Italy
View editor publications

You can also search for this editor in PubMed Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12872)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): IJCRS: International Joint Conference on Rough Sets

12k Accesses
25 Citations
2 Altmetric

Conference proceedings info: IJCRS 2021.

Buy it now

eBook USD 79.99

Price excludes VAT (USA)

Softcover Book USD 99.99

Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Learn about institutional subscriptions

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (25 papers)

Front Matter

Pages i-xv

PDF
Invited Papers
1. Front Matter
  
  Pages 1-1
  
  PDF
2. Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks
  
  Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
  
  Pages 3-17
3. Determining Tanimoto Similarity Neighborhoods of Real-Valued Vectors by Means of the Triangle Inequality and Bounds on Lengths
  
  Marzena Kryszkiewicz
  
  Pages 18-34
4. Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment
  
  Pradipta Maji, Shaswati Roy
  
  Pages 35-43
5. DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network
  
  Fan Min, Lin-Rong Wang, Shu-Lin Pan, Guo-Jie Song
  
  Pages 44-56
6. Classification of Multi-class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers
  
  Jerzy Stefanowski
  
  Pages 57-72
Core Rough Set Models and Methods
1. Front Matter
  
  Pages 73-73
  
  PDF
2. General Rough Modeling of Cluster Analysis
  
  A. Mani
  
  Pages 75-82
3. Possible Coverings in Incomplete Information Tables with Similarity of Values
  
  Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
  
  Pages 83-89
4. Attribute Reduction Using Functional Dependency Relations in Rough Set Theory
  
  Mauricio Restrepo, Chris Cornelis
  
  Pages 90-96
5. The RSDS: A Current State and Future Plans
  
  Zbigniew Suraj, Piotr Grochowalski
  
  Pages 97-102
6. Many-Valued Dynamic Object-Oriented Inheritance and Approximations
  
  Andrzej Szałas
  
  Pages 103-119
Related Methods and Hybridization
1. Front Matter
  
  Pages 121-121
  
  PDF
2. Minimizing Depth of Decision Trees with Hypotheses
  
  Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov
  
  Pages 123-133
3. The Influence of Fuzzy Expectations on Triples of Triangular Norms in the Weighted Fuzzy Petri Net for the Subject Area of Passenger Transport Logistics
  
  Yurii Bloshko, Zbigniew Suraj, Oksana Olar
  
  Pages 134-148
4. Possibility Distributions Generated by Intuitionistic \(\textsf {L}\)-Fuzzy Sets
  
  Stefania Boffa, Davide Ciucci
  
  Pages 149-163
5. Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets
  
  Andrea Campagner, Davide Ciucci
  
  Pages 164-179
6. Right Adjoint Algebras Versus Operator Left Residuated Posets
  
  M. Eugenia Cornejo, Jesús Medina
  
  Pages 180-191
7. Adapting Fuzzy Rough Sets for Classification with Missing Values
  
  Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
  
  Pages 192-200

Other Volumes

Rough Sets

About this book

The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic.

The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.

Keywords

Editors and Affiliations

University of Winnipeg, Winnipeg, Canada

Sheela Ramanna
Ghent University, Gent, Belgium

Chris Cornelis
University of Milano-Bicocca, Milan, Italy

Davide Ciucci

Bibliographic Information

Book Title: Rough Sets
Book Subtitle: International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19–24, 2021, Proceedings
Editors: Sheela Ramanna, Chris Cornelis, Davide Ciucci
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-87334-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-87333-2Published: 18 September 2021
eBook ISBN: 978-3-030-87334-9Published: 17 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 311
Number of Illustrations: 17 b/w illustrations, 51 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computer Applications, Artificial Intelligence, Information Systems Applications (incl. Internet)

Publish with us

Policies and ethics

Editors:

Sections

Buy it now

Buying options

Other ways to access

Table of contents (25 papers)

Front Matter

Invited Papers

Front Matter

Core Rough Set Models and Methods

Front Matter

Related Methods and Hybridization

Front Matter

Other Volumes

Rough Sets

About this book

Keywords

Editors and Affiliations

University of Winnipeg, Winnipeg, Canada

Ghent University, Gent, Belgium

University of Milano-Bicocca, Milan, Italy

Bibliographic Information

Publish with us

Buy it now

Buying options

Other ways to access

Search

Navigation