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  • Conference proceedings
  • © 2019

Rough Sets

International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings

Editors:

  1. Tamás Mihálydeák

    1. University of Debrecen, Debrecen, Hungary

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  2. Fan Min

    1. Southwest Petroleum University, Chengdu, China

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  3. Guoyin Wang

    1. Chongqing University of Posts and Telecommunications, Chongqing, China

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  4. Mohua Banerjee

    1. Indian Institute of Technology Kanpur, Kanpur, India

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  5. Ivo Düntsch

    1. Fujian Normal University, Fuzhou, China

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  6. Zbigniew Suraj

    1. University of Rzeszów, Rzeszow, Poland

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  7. Davide Ciucci

    1. University of Milano-Bicocca, Milan, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11499)

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

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

Conference proceedings info: IJCRS 2019.

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Table of contents (41 papers)

  1. Front Matter

    Pages i-xxii
    PDF

  2. Core Rough Set Models and Methods

    1. Front Matter

      Pages 1-1
      PDF

    2. An Application of Bayesian Confirmation Theory for Three-Way Decision

      • Mengjun Hu, Xiaofei Deng, Yiyu Yao
      Pages 3-15

    3. Concept Approximation Based on Rough Sets and Judgment

      • Jaroslaw Stepaniuk, Grzegorz Góra, Andrzej Skowron
      Pages 16-27

    4. Rough Sets and the Algebra of Conditional Logic

      • Gayatri Panicker, Mohua Banerjee
      Pages 28-39

    5. Rough Sets Defined by Multiple Relations

      • Jouni Järvinen, László Kovács, Sándor Radeleczki
      Pages 40-51

    6. On the Roughly Continuous Real Functions

      • Zoltán Ernő Csajbók
      Pages 52-65

    8. Iterative Set Approximations Based on Tolerance Relation

      • László Aszalós, Dávid Nagy
      Pages 78-90

    9. Approximation Based on Representatives

      • Dávid Nagy, László Aszalós
      Pages 91-101

    10. Local Search for Attribute Reduction

      • Xiaojun Xie, Ryszard Janicki, Xiaolin Qin, Wei Zhao, Guangmei Huang
      Pages 102-117

    11. Rough Matroids Based on Dual Approximation Operators

      • Mauricio Restrepo, Chris Cornelis
      Pages 118-129

    13. Rough Approximations on Two Universes Under a Mapping

      • Tong-Jun Li, Wei-Zhi Wu, Xiuyi Jia
      Pages 144-154

    15. The Prototype View of Concepts

      • Ruisi Ren, Ling Wei
      Pages 166-178

  3. Related Methods and Hybridization

    1. Front Matter

      Pages 195-195
      PDF

    3. Learning Multi-granular Features for Harvesting Knowledge from Free Text

      • Zheng Zhou, Huaming Wang, Zhixing Li, Feng Hu, Guoyin Wang
      Pages 210-224
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  1. Rough Sets

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About this book

This LNAI 11499 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2019, held in Debrecen, Hungary, in June 2019.

The 41 full papers were carefully reviewed and selected from 71 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage. The papers are grouped in topical sections on core rough set models and methods; related methods and hybridization; areas of application.

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Keywords

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Editors and Affiliations

  • University of Debrecen, Debrecen, Hungary

    Tamás Mihálydeák

  • Southwest Petroleum University, Chengdu, China

    Fan Min

  • Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  • Indian Institute of Technology Kanpur, Kanpur, India

    Mohua Banerjee

  • Fujian Normal University, Fuzhou, China

    Ivo Düntsch

  • University of Rzeszów, Rzeszow, Poland

    Zbigniew Suraj

  • University of Milano-Bicocca, Milan, Italy

    Davide Ciucci

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Bibliographic Information

  • Book Title: Rough Sets

  • Book Subtitle: International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings

  • Editors: Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-22815-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-22814-9Published: 09 June 2019

  • eBook ISBN: 978-3-030-22815-6Published: 10 June 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXII, 550

  • Number of Illustrations: 184 b/w illustrations, 55 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Arithmetic and Logic Structures

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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