Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

1. Front Matter

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2. Invited Papers

   1. Construction and Analysis of Web-Based Computer Science Information Networks

      • Jiawei Han

      Pages 1-2

   2. Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rough Set-Related Computations

      • Vladik Kreinovich

      Pages 3-10

   3. Rough Set Based Uncertain Knowledge Expressing and Processing

      • Guoyin Wang

      Pages 11-18

   4. What is a Fuzzy Concept Lattice? II

      • Radim Belohlavek

      Pages 19-26

   5. Rough Set Based Ensemble Classifier

      • C. A. Murthy, Suman Saha, Sankar K. Pal

      Pages 27-27

3. Tutorial Papers

   1. The Use of Rough Set Methods in Knowledge Discovery in Databases

      • Marcin Szczuka

      Pages 28-30

   2. Fuzzy-Rough Data Mining

      • Richard Jensen

      Pages 31-35

4. Rough Sets and Approximations

   1. Dual Rough Approximations in Information Tables with Missing Values

      • Michinori Nakata, Hiroshi Sakai

      Pages 36-43

   2. Rough Sets and General Basic Set Assignments

      • Tong-Jun Li, Wei-Zhi Wu

      Pages 44-51

   3. General Tool-Based Approximation Framework Based on Partial Approximation of Sets

      • Zoltán Csajbók, Tamás Mihálydeák

      Pages 52-59

   4. An Improved Variable Precision Model of Dominance-Based Rough Set Approach

      • Weibin Deng, Guoyin Wang, Feng Hu

      Pages 60-67

   5. Rough Numbers and Rough Regression

      • Marcin Michalak

      Pages 68-71

5. Coverings and Granules

   1. Covering Numbers in Covering-Based Rough Sets

      • Shiping Wang, Fan Min, William Zhu

      Pages 72-78

   2. On Coverings of Rough Transformation Semigroups

      • S. P. Tiwari, Shambhu Sharan

      Pages 79-86

   3. Covering Rough Set Model Based on Multi-granulations

      • Caihui Liu, Duoqian Miao

      Pages 87-90

   4. A Descriptive Language Based on Granular Computing – Granular Logic

      • Qing Liu, Lan Liu

      Pages 91-94

6. Fuzzy Set Models

   1. Optimization and Adaptation of Dynamic Models of Fuzzy Relational Cognitive Maps

      • Grzegorz Słoń, Alexander Yastrebov

      Pages 95-102

   2. Sensitivity Analysis for Fuzzy Linear Programming Problems

      • Amit Kumar, Neha Bhatia

      Pages 103-110

   3. Estimation of Parameters of the Empirically Reconstructed Fuzzy Model of Measurements

      • Tatiana Kopit, Alexey Chulichkov

      Pages 111-118

This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011.
The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature selection and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.

• artificial neural networks
• cloud model
• decision trees
• fuzzy databases
• soft computing

• State University Higher School of Economics, Moscow, Russia

  Sergei O. Kuznetsov

• Institute of Mathematics, University of Warsaw, Warsaw, Poland

  Dominik Ślęzak

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

  Daryl H. Hepting

• Birbeck University of London, London, UK

  Boris G. Mirkin

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