Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings

  • Yiyu Yao
  • Qinghua Hu
  • Hong Yu
  • Jerzy W. Grzymala-Busse

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9437)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9437)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Rough Sets: The Experts Speak

    1. Front Matter
      Pages 1-1
    2. Jiye Liang
      Pages 3-12
    3. Shusaku Tsumoto, Shoji Hirano
      Pages 24-35
    4. Guoyin Wang, Ji Xu, Qinghua Zhang, Yuchao Liu
      Pages 36-48
    5. Ning Zhong, Jia-jin Huang
      Pages 49-60
  3. Generalized Rough Sets

    1. Front Matter
      Pages 61-61
    2. Jerzy Błaszczyński, Yoshifumi Kusunoki, Masahiro Inuiguchi, Roman Słowiński
      Pages 63-72
    3. Shen-Ming Gu, Ya-Hong Wan, Wei-Zhi Wu, Tong-Jun Li
      Pages 73-81
    4. Caihui Liu, Meizhi Wang, Yanfei Dai, Yueli Luo
      Pages 82-89
    5. Keyun Qin, Bo Li
      Pages 102-111
  4. Rough Sets and Graphs

    1. Front Matter
      Pages 125-125
    2. Giampiero Chiaselotti, Davide Ciucci, Tommaso Gentile, Federico Infusino
      Pages 127-137
    3. Giampiero Chiaselotti, Davide Ciucci, Tommaso Gentile, Federico Infusino
      Pages 138-148
  5. Rough and Fuzzy Hybridization

    1. Front Matter
      Pages 171-171

About these proceedings

Introduction

This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 as one of the co-located conference of the 2015 Joint Rough Set Symposium, JRS 2015.

The 44 papers were carefully reviewed and selected from 97 submissions. The papers in this volume cover topics such as rough sets: the experts speak; generalized rough sets; rough sets and graphs; rough and fuzzy hybridization; granular computing; data mining and machine learning; three-way decisions; IJCRS 2015 data challenge.

Keywords

Approximation Big data Decision tables Machine learning Soft computing Covering-based rough sets Cyber-physical systems Deep learning Ensemble methods Feature extraction Fuzzy and rough hybridization Game Theoretic rough sets Granular computing Image analysis Imprecision Incompleteness Knowledge representation Semi-supervised learning Support vector machines Vagueness

Editors and affiliations

  • Yiyu Yao
    • 1
  • Qinghua Hu
    • 2
  • Hong Yu
    • 3
  • Jerzy W. Grzymala-Busse
    • 4
  1. 1.University of Regina, Regina, SK, CanadaReginaCanada
  2. 2.Tianjin UniversityTianjinChina
  3. 3.Chongqing Univ. of Posts and Telecommn.ChongqingChina
  4. 4.University of Kansas, Lawrence, KS, USALawrenceUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-25783-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-25782-2
  • Online ISBN 978-3-319-25783-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book