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  • Conference proceedings
  • © 2011

Transactions on Rough Sets XIII

  • special issue on rough sets and current trends in computing

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

Part of the book sub series: Transactions on Rough Sets (TRS)

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Table of contents (14 papers)

  1. Front Matter

  2. Bit-Vector Representation of Dominance-Based Approximation Space

    • Chien-Chung Chan, Gwo-Hshiung Tzeng
    Pages 1-16
  3. Fuzzy-Rough Nearest Neighbour Classification

    • Richard Jensen, Chris Cornelis
    Pages 56-72
  4. Rough Entropy Hierarchical Agglomerative Clustering in Image Segmentation

    • Dariusz Małyszko, Jarosław Stepaniuk
    Pages 89-103
  5. Risk Assessment in Granular Environments

    • Marcin Szczuka
    Pages 121-134
  6. Core-Generating Discretization for Rough Set Feature Selection

    • David Tian, Xiao-jun Zeng, John Keane
    Pages 135-158
  7. Perceptual Tolerance Intersection

    • Piotr Wasilewski, James F. Peters, Sheela Ramanna
    Pages 159-174
  8. Quadtree Representation and Compression of Spatial Data

    • Xiang Yin, Ivo Düntsch, Günther Gediga
    Pages 207-239
  9. Solving the Attribute Reduction Problem with Ant Colony Optimization

    • Hong Yu, Guoyin Wang, Fakuan Lan
    Pages 240-259
  10. A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model

    • Yan Zhao, S. K. M. Wong, Yiyu Yao
    Pages 260-275
  11. Back Matter

About this book

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.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada

    James F. Peters

  • Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

  • Department of Computer Science, The University of Akron, Akron, USA

    Chien-Chung Chan

  • Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, USA

    Jerzy W. Grzymala-Busse

  • Department of Computer Science, University of Regina, Regina, Canada

    Wojciech P. Ziarko

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access