Rough Sets

International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings

  • Víctor Flores
  • Fernando Gomide
  • Andrzej Janusz
  • Claudio Meneses
  • Duoqian Miao
  • Georg Peters
  • Dominik Ślęzak
  • Guoyin Wang
  • Richard Weber
  • Yiyu Yao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9920)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Keynotes, Tutorials and Expert Papers

    1. Front Matter
      Pages 1-1
    2. Ernestina Menasalvas, Alejandro Rodriguez-Gonzalez, Roberto Costumero, Hector Ambit, Consuelo Gonzalo
      Pages 23-32
    3. Wojciech Moczulski, Piotr Przystałka, Marek Sikora, Radosław Zimroz
      Pages 33-42
    4. Masahiro Inuiguchi
      Pages 54-64
  3. Rough Sets, Approximation and Granulation

    1. Front Matter
      Pages 75-75
    2. Mohamed Quafafou
      Pages 77-86
    3. Stefano Aguzzoli, Stefania Boffa, Davide Ciucci, Brunella Gerla
      Pages 87-96
    4. Tong-Jun Li, Wei-Zhi Wu, Shen-Ming Gu
      Pages 97-106
    5. Agnieszka D. Bogobowicz, Ryszard Janicki
      Pages 120-130
  4. Rough Sets, Non-Determinism and Incompleteness

    1. Front Matter
      Pages 143-143
    2. Ning Yao, Duoqian Miao, Zhifei Zhang, Guangming Lang
      Pages 166-176
    3. Mengjun Hu, Yiyu Yao
      Pages 177-186

About these proceedings

Introduction

This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2016, held in Santiago de Chile, Chile, in October 2016.

The 46 revised full papers presented together with 7 keynotes, tutorials and expert papers were carefully reviewed and selected from 108 submissions. The papers are grouped in topical sections on Rough Sets, Approximation and Granulation; Rough Sets, Non-Determinism and Incompleteness; Rough Sets and Three-way Decisions; Fuzziness and Similarity in Knowledge Representation; Machine Learning and Decision Making; Ranking and Clustering; Derivation and Application of Rules and Trees; Derivation and Application of Feature Subsets.

Keywords

biologically inspired algorithms data analysis high-dimensional data knowledge representation machine learning case-based reasoning classification cloud model clustering decision trees fuzzy logic programming game theory granular computing hypergraph information systems natural language processing probabilistic approximations similarity social networks uncertainty

Editors and affiliations

  • Víctor Flores
    • 1
  • Fernando Gomide
    • 2
  • Andrzej Janusz
    • 3
  • Claudio Meneses
    • 4
  • Duoqian Miao
    • 5
  • Georg Peters
    • 6
  • Dominik Ślęzak
    • 7
  • Guoyin Wang
    • 8
  • Richard Weber
    • 9
  • Yiyu Yao
    • 10
  1. 1.Universidad Católica del NorteAntofagastaChile
  2. 2.University of CampinasCampinas, SPBrazil
  3. 3.University of WarsawWarsawPoland
  4. 4.Universidad del Católica del NorteAntofagastaChile
  5. 5.Tongji UniversityShanghaiChina
  6. 6.University of Applied SciencesMunichGermany
  7. 7.University of WarsawWarsawPoland
  8. 8.Chongqing University of Posts and TelecommunicationsChongqingChina
  9. 9.Universidad de ChileSantiagoChile
  10. 10.University of ReginaReginaCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-47160-0
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-47159-4
  • Online ISBN 978-3-319-47160-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book