Transactions on Rough Sets XI

1. Front Matter

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2. Mining Numerical Data – A Rough Set Approach

   • Jerzy W. Grzymala-Busse

   Pages 1-13

3. Definability and Other Properties of Approximations for Generalized Indiscernibility Relations

   • Jerzy W. Grzymala-Busse, Wojciech Rza̧sa

   Pages 14-39

4. Variable Consistency Bagging Ensembles

   • Jerzy Błaszczyński, Roman Słowiński, Jerzy Stefanowski

   Pages 40-52

5. Classical and Dominance-Based Rough Sets in the Search for Genes under Balancing Selection

   • Krzysztof A. Cyran

   Pages 53-65

6. Satisfiability Judgement under Incomplete Information

   • Anna Gomolińska

   Pages 66-91

7. Irreducible Descriptive Sets of Attributes for Information Systems

   • Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj

   Pages 92-105

8. Computational Theory Perception (CTP), Rough-Fuzzy Uncertainty Analysis and Mining in Bioinformatics and Web Intelligence: A Unified Framework

   • Sankar K. Pal

   Pages 106-129

9. Decision Rule-Based Data Models Using TRS and NetTRS – Methods and Algorithms

   • Marek Sikora

   Pages 130-160

10. A Distributed Decision Rules Calculation Using Apriori Algorithm

    • Tomasz Stra̧kowski, Henryk Rybiński

    Pages 161-176

11. Decision Table Reduction in KDD: Fuzzy Rough Based Approach

    • Eric Tsang, Zhao Suyun

    Pages 177-188

12. Back Matter

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Volume XI of the Transactions on Rough Sets (TRS) provides evidence of f- ther growth in the rough set landscape, both in terms of its foundations and applications. This volume provides further evidence of the number of research streams that were either directly or indirectly initiated by the seminal work on rough 1 sets by Zdzis law Pawlak (1926-2006) . Evidence of the growth of various rough 2 set-based research streams can be found in the rough set database . Thisvolumecontainsarticlesintroducingadvancesinthefoundationsand- plicationsofroughsets.These advancesinclude: calculusofattribute-value pairs useful in mining numerical data, de?nability and coalescence of approximations, variable consistency generalization approach to bagging controlled by measures of consistency, classical and dominance-based rough sets in the search for genes, judgementaboutsatis?abilityunderincompleteinformation,irreducibledescr- tive sets of attributes for information systems useful in the design of concurrent data models, computational theory of perceptions (CTP) and its characteristics and the relation with fuzzy-granulation, methods and algorithms of the Net- TRS system, a recursive version of the apriori algorithm designed for parallel processing, and decision table reduction method based on fuzzy rough sets. Theeditorsandauthorsofthisvolumeextendtheirgratitudetothereviewers of articles in this volume, Alfred Hofmann, Ursula Barth, Christine Reiss and the LNCS sta? at Springer for their support in making this volume of the TRS possible.

• Design
• algorithms
• approximation space
• balancing selection
• bioinformatics
• calculus
• case based reasoning
• classical rough sets approach
• concept modeling
• data mining
• decision rules
• decision table reduction
• descriptor language
• dominance-based rough sets
• sets

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

  James F. Peters

• Institute of Mathematics, Warsaw University, Warsaw, Poland

  Andrzej Skowron

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