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Rough Sets

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

  • Tamás Mihálydeák
  • Fan Min
  • Guoyin Wang
  • Mohua Banerjee
  • Ivo Düntsch
  • Zbigniew Suraj
  • Davide Ciucci
Conference proceedings IJCRS 2019

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11499)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Core Rough Set Models and Methods

    1. Front Matter
      Pages 1-1
    2. Mengjun Hu, Xiaofei Deng, Yiyu Yao
      Pages 3-15
    3. Jaroslaw Stepaniuk, Grzegorz Góra, Andrzej Skowron
      Pages 16-27
    4. Gayatri Panicker, Mohua Banerjee
      Pages 28-39
    5. Jouni Järvinen, László Kovács, Sándor Radeleczki
      Pages 40-51
    6. Zoltán Ernő Csajbók
      Pages 52-65
    7. László Aszalós, Dávid Nagy
      Pages 78-90
    8. Dávid Nagy, László Aszalós
      Pages 91-101
    9. Xiaojun Xie, Ryszard Janicki, Xiaolin Qin, Wei Zhao, Guangmei Huang
      Pages 102-117
    10. Mauricio Restrepo, Chris Cornelis
      Pages 118-129
    11. Tong-Jun Li, Wei-Zhi Wu, Xiuyi Jia
      Pages 144-154
    12. Ruisi Ren, Ling Wei
      Pages 166-178
  3. Related Methods and Hybridization

    1. Front Matter
      Pages 195-195
    2. Zheng Zhou, Huaming Wang, Zhixing Li, Feng Hu, Guoyin Wang
      Pages 210-224
    3. Sibasis Bandyopadhyay, Zbigniew Suraj, Prasun Kumar Nayak
      Pages 253-264
    4. Dávid Gégény, Imre Piller, Sándor Radeleczki, Laura Veres
      Pages 265-279
    5. Andrea Campagner, Federico Cabitza, Davide Ciucci
      Pages 280-294
    6. Soma Dutta, Andrzej Skowron
      Pages 295-311
    7. Qinghua Zhang, Fan Zhao, Xu Yubin, Jie Yang
      Pages 341-355
    8. Krzysztof Pancerz, Arkadiusz Lewicki, Jaromir Sarzyński
      Pages 356-368
    9. Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
      Pages 369-380
  4. Areas of Application

    1. Front Matter
      Pages 381-381
    2. JingTao Yao
      Pages 383-394
    3. Joanna Fedorowicz, Łukasz Sosnowski, Dominik Ślęzak, Iwona Szymusik, Wojciech Chaber, Łukasz Miłobędzki et al.
      Pages 395-408
    4. Hong Chen, Huaxiong Li, Bing Huang, Xiuyi Jia, Xianzhong Zhou
      Pages 409-423
    5. Fulan Qian, Qianqian Min, Shu Zhao, Jie Chen, Xiangyang Wang, Yanping Zhang
      Pages 424-438
    6. Xinxin Li, Xun Gong
      Pages 454-464
    7. Laurel Powell, Anna Gelich, Zbigniew W. Ras
      Pages 480-494
    8. Ziye Wang, Duoqian Miao, Cairong Zhao, Sheng Luo, Zhihua Wei
      Pages 522-533
    9. Wenjie Wei, Duoqian Miao, Yuxiang Li
      Pages 534-548
  5. Back Matter
    Pages 549-550

About these proceedings

Introduction

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.

Keywords

approximate reasoning approximation spaces artificial intelligence clustering clustering algorithms computer vision data mining decision tables fuzzy sets granular computing problem solving rough set theory set theory support vector machines svm tolerance relation

Editors and affiliations

  1. 1.University of DebrecenDebrecenHungary
  2. 2.Southwest Petroleum UniversityChengduChina
  3. 3.Chongqing University of Posts and TelecommunicationsChongqingChina
  4. 4.Indian Institute of Technology KanpurKanpurIndia
  5. 5.Fujian Normal UniversityFuzhouChina
  6. 6.University of RzeszówRzeszowPoland
  7. 7.University of Milano-BicoccaMilanItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-22815-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-22814-9
  • Online ISBN 978-3-030-22815-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site