Rough Sets

International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part II

  • Lech Polkowski
  • Yiyu Yao
  • Piotr Artiemjew
  • Davide Ciucci
  • Dun Liu
  • Dominik Ślęzak
  • Beata Zielosko
Conference proceedings IJCRS 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10314)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10314)

Table of contents

  1. Front Matter
    Pages I-XXV
  2. Vagueness, Rough Sets, Mereology

  3. Three-Way Decisions, Uncertainty, Granular Computing

    1. Front Matter
      Pages 169-169
    2. Jie Chen, Liandi Fang, Yanping Zhang, Shu Zhao, Ling Zhang, Fulan Qian et al.
      Pages 171-182
    3. Mengjun J. Hu, Yiyu Y. Yao
      Pages 200-215
    4. Dun Liu, Decui Liang
      Pages 226-237

Other volumes

  1. International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part I
  2. Rough Sets
    International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part II

About these proceedings

Introduction

This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017.

The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007).

Keywords

Information systems Incomplete data Uncertainty Data Analysis Rough set theory Vagueness Rough mereology Software systems for rough sets Three-way decision systems Granular computing Multi-agent systems Analysis of Biomedical data Formal concept analysis

Editors and affiliations

  • Lech Polkowski
    • 1
  • Yiyu Yao
    • 2
  • Piotr Artiemjew
    • 3
  • Davide Ciucci
    • 4
  • Dun Liu
    • 5
  • Dominik Ślęzak
    • 6
  • Beata Zielosko
    • 7
  1. 1.Polish-Japanese Academy of Information TechnologyWarsawPoland
  2. 2.University of ReginaReginaCanada
  3. 3.University of Warmia and MazuryOlsztynPoland
  4. 4.University of Milano-BicoccaMilanoItaly
  5. 5.Southwest Jiaotong UniversityChengduChina
  6. 6.Warsaw UniversityWarszawaPoland
  7. 7.Silesian UniversitySosnowiecPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-60840-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-60839-6
  • Online ISBN 978-3-319-60840-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book