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Rough Sets and Knowledge Technology

7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012, Proceedings

  • Conference proceedings
  • © 2012

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Editors:
  1. Tianrui Li

    1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China

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  2. Hung Son Nguyen

    1. Institute of Mathematics, The University of Warsaw, Warsaw, Poland

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  3. Guoyin Wang

    1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

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  4. Jerzy Grzymala-Busse

    1. Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, USA

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  5. Ryszard Janicki

    1. Department of Computing and Software, McMaster University, Hamilton, Canada

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  6. Aboul Ella Hassanien

    1. Faculty of Computers and Information, Cairo University, Cairo, Egypt

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  7. Hong Yu

    1. Software School, Dalian University of Technology, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7414)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: RSKT 2012.

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Table of contents (63 papers)

  1. Front Matter

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  2. Rough Sets and Its Generalizations

    1. A Characterization of Rough Separability

      • Piotr Wasilewski, Andrzej Skowron
      Pages 1-10

    2. Data-Driven Valued Tolerance Relation

      • Guoyin Wang, Lihe Guan
      Pages 11-19

    3. Optimistic Multi-Granulation Fuzzy Rough Set Model Based on Triangular Norm

      • Weihua Xu, Wenxin Sun, Yufeng Liu
      Pages 20-27

    4. Rough Set Model Based on Hybrid Tolerance Relation

      • Junyi Zhou, Xibei Yang
      Pages 28-33

    5. Scalable Improved Quick Reduct: Sample Based

      • P. S. V. S. Sai Prasad, C. Raghavendra Rao
      Pages 34-39

    6. Soft Rough Sets Based on Similarity Measures

      • Keyun Qin, Zhenming Song, Yang Xu
      Pages 40-48

    7. Theory of Truth Degrees in Three Valued Formed System RSL

      • Huan Liu, Yingcang Ma, Xuezhen Dai
      Pages 49-54

    8. Upper Approximation Reduction Based on Intuitionistic Fuzzy \(\mathcal{T}\) Equivalence Information Systems

      • Weihua Xu, Yufeng Liu, Wenxin Sun
      Pages 55-62

  3. Rough Sets in Data and Knowledge Processing

    1. A Fuzzy-Rough Sets Based Compact Rule Induction Method for Classifying Hybrid Data

      • Yang Liu, Qinglei Zhou, Elisabeth Rakus-Andersson, Guohua Bai
      Pages 63-70

    2. A New Intuitionistic Fuzzy Rough Set Approach for Decision Support

      • Junyi Chai, James N. K. Liu, Anming Li
      Pages 71-80

    3. A New Rule Induction Method from a Decision Table Using a Statistical Test

      • Tsukasa Matsubayashi, Yuichi Kato, Tetsuro Saeki
      Pages 81-90

    4. A Rough Neurocomputing Approach for Illumination Invariant Face Recognition System

      • Singh Kavita, Zaveri Mukesh, Raghuwanshi Mukesh
      Pages 91-100

    5. An Approximation Decision Entropy Based Decision Tree Algorithm and Its Application in Intrusion Detection

      • Hongbo Zhao, Feng Jiang, Chunping Wang
      Pages 101-106

    6. Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-quaternary Ammonium Chlorides

      • Łukasz Pałkowski, Jerzy Błaszczyński, Jerzy Krysiński, Roman Słowiński, Andrzej Skrzypczak, Jan Błaszczak et al.
      Pages 107-116

    7. Classification and Decision Based on Parallel Reducts and F-Rough Sets

      • Dayong Deng, Lin Chen, Dianxun Yan
      Pages 117-122

    8. Evidential Clustering or Rough Clustering: The Choice Is Yours

      • Manish Joshi, Pawan Lingras
      Pages 123-128

    9. Heuristic for Attribute Selection Using Belief Discernibility Matrix

      • Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
      Pages 129-138

    10. Incremental Rules Induction Based on Rule Layers

      • Shusaku Tsumoto, Shoji Hirano
      Pages 139-148

    11. Optimization of Inhibitory Decision Rules Relative to Length and Coverage

      • Fawaz Alsolami, Igor Chikalov, Mikhail Moshkov, Beata Zielosko
      Pages 149-154
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  1. Rough Sets and Knowledge Technology

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About this book

This book constitutes the refereed proceedings of the 7th International Conference on Rough Sets and Knowledge Technology, RSKT 2012, held in Chengdu, China during August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 63 revised papers (including 42 regular and 21 short papers) were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its generalizations, rough sets in data and knowledge processing, knowledge technology, advances in granular computing (AGC 2012 workshop), decision-theoretic rough set model and applications (special session), intelligent decision making and granular computing (special session), rough set foundations (special session).

Editors and Affiliations

  • School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China

    Tianrui Li

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

    Hung Son Nguyen

  • Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

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

    Jerzy Grzymala-Busse

  • Department of Computing and Software, McMaster University, Hamilton, Canada

    Ryszard Janicki

  • Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  • Software School, Dalian University of Technology, China

    Hong Yu

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