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Rough Sets

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

  • Conference proceedings
  • © 2019

Overview

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)

Included in the following conference series:

Conference proceedings info: IJCRS 2019.

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Table of contents (41 papers)

  1. Core Rough Set Models and Methods

  2. Related Methods and Hybridization

Other volumes

  1. Rough Sets

Keywords

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.

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

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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