Transactions on Rough Sets XIII

  • James F. Peters
  • Andrzej Skowron
  • Chien-Chung Chan
  • Jerzy W. Grzymala-Busse
  • Wojciech P. Ziarko
Conference proceedings

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6499)

Table of contents

  1. Front Matter
  2. Chien-Chung Chan, Gwo-Hshiung Tzeng
    Pages 1-16
  3. Richard Jensen, Chris Cornelis
    Pages 56-72
  4. Dariusz Małyszko, Jarosław Stepaniuk
    Pages 89-103
  5. Marcin Szczuka
    Pages 121-134
  6. David Tian, Xiao-jun Zeng, John Keane
    Pages 135-158
  7. Piotr Wasilewski, James F. Peters, Sheela Ramanna
    Pages 159-174
  8. Xiang Yin, Ivo Düntsch, Günther Gediga
    Pages 207-239
  9. Hong Yu, Guoyin Wang, Fakuan Lan
    Pages 240-259
  10. Yan Zhao, S. K. M. Wong, Yiyu Yao
    Pages 260-275
  11. Back Matter

About these proceedings


The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

Volume XIII contains 14 papers which introduce a number of new advances in both the foundations and the applications of rough sets. These are mathematical structures of generalized rough sets in infinite universes, approximations of arbitrary binary relations, and attribute reduction in decision-theoretic rough sets. Methodological advances introduce rough set-based and hybrid methodologies for learning theory, attribution reduction, decision analysis, risk assessment, and data mining tasks such as classification and clustering. In addition, this volume contains regular articles on mining temporal software metrics data, C-GAME discretization method, perceptual tolerance intersection as an example of a near set operation and compression of spatial data with quadtree structures.


C-GAME ant colony attribution reduction clustering data mining decision analysis image segmentation learning theory quadtree risk assessment rough sets software metrics spatial data compression

Editors and affiliations

  • James F. Peters
    • 1
  • Andrzej Skowron
    • 2
  • Chien-Chung Chan
    • 3
  • Jerzy W. Grzymala-Busse
    • 4
  • Wojciech P. Ziarko
    • 5
  1. 1.Department of Electrical and Computer EngineeringUniversity of ManitobaWinnipegCanada
  2. 2.Institute of MathematicsWarsaw UniversityWarsawPoland
  3. 3.Department of Computer ScienceThe University of AkronAkronUSA
  4. 4.Department of Electrical Engineering and Computer ScienceThe University of KansasLawrenceUSA
  5. 5.Department of Computer ScienceUniversity of ReginaReginaCanada

Bibliographic information