Transactions on Rough Sets X

1. Front Matter

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2. Rough Set Theory: Ontological Systems, Entailment Relations and Approximation Operators

   • Marcin Wolski

   Pages 1-14

3. Information Entropy and Granulation Co–Entropy of Partitions and Coverings: A Summary

   • Daniela Bianucci, Gianpiero Cattaneo

   Pages 15-66

4. Lattices with Interior and Closure Operators and Abstract Approximation Spaces

   • Gianpiero Cattaneo, Davide Ciucci

   Pages 67-116

5. Rough Approximation Based on Weak q-RIFs

   • Anna Gomolińska

   Pages 117-135

6. Rough Geometry and Its Applications in Character Recognition

   • Xiaodong Yue, Duoqian Miao

   Pages 136-156

7. Extensions of Information Systems: The Rough Set Perspective

   • Krzysztof Pancerz

   Pages 157-168

8. Intangible Assets in a Polish Telecommunication Sector – Rough Sets Approach

   • Agnieszka Maciocha, Jerzy Kisielnicki

   Pages 169-196

9. Multicriteria Attractiveness Evaluation of Decision and Association Rules

   • Izabela Szczȩch

   Pages 197-274

10. Back Matter

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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.

This book, which constitutes the tenth volume of the Transactions on Rough Sets series, provides evidence of further growth in the rough set landscape, both in terms of its foundations and its applications. The 8 papers presented in this volume focus on a number of research streams that were either directly or indirectly begun by the seminal work on rough sets by Zdzislaw Pawlak for a number of research areas such as entailment and approximation operators, extensions of information systems, information entropy and granulation, lattices, multicriteria attractiveness evaluation of decision and association rules, ontological systems, rough approximation, and rough geometry in image analysis.

• Extension
• character recognition
• cognition
• data mining
• entailment relations
• entropy
• fuzzy sets
• granulation
• image analysis
• knowledge
• knowledge discovery
• ontology
• rough approximation
• rough geometry
• rought sets

From the reviews:

“One of the main objectives of rough set theory is to find reasonable extensions for rough sets in known techniques and results about sets. … I highly recommend this book to students and researchers who are already familiar with the basic ideas of rough set theory and want to learn about the latest developments. In principle, the book should also be accessible to other readers with a mathematical background, even if they are not very familiar with rough sets.” (V. Kreinovich, ACM Computing Reviews, November, 2010)

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

  James F. Peters

• Institute of Mathematics, Warsaw University, Warsaw, Poland

  Andrzej Skowron

• Department of Logic and Philosophy of Science, Maria Curie-Skłodowska University, Lublin, Poland

  Marcin Wolski

• University of Calcutta, Kolkata, India

  Mihir K. Chakraborty

• Zhejiang Ocean University, Zhejiang, P.R. China

  Wei-Zhi Wu

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