Rough Sets and Knowledge Technology

1. Front Matter

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2. Commemorative Paper

   1. Some Contributions by Zdzisław Pawlak

      • James F. Peters, Andrzej Skowron

      Pages 1-11

3. Keynote Papers

   1. Conflicts and Negotations

      • Zdzisław Pawlak

      Pages 12-27

   2. Hierarchical Machine Learning – A Learning Methodology Inspired by Human Intelligence

      • Ling Zhang, Bo Zhang

      Pages 28-30

   3. Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation

      • Sankar K. Pal

      Pages 31-31

   4. Towards Network Autonomy

      • Jiming Liu

      Pages 32-32

4. Plenary Papers

   1. A Roadmap from Rough Set Theory to Granular Computing

      • Tsau Young Lin

      Pages 33-41

   2. Partition Dependencies in Hierarchies of Probabilistic Decision Tables

      • Wojciech Ziarko

      Pages 42-49

   3. Knowledge Theory and Artificial Intelligence

      • Yixin Zhong

      Pages 50-56

   4. Applications of Knowledge Technologies to Sound and Vision Engineering

      • Andrzej Czyzewski

      Pages 57-57

   5. A Rough Set Approach to Data with Missing Attribute Values

      • Jerzy W. Grzymala-Busse

      Pages 58-67

   6. Cognitive Neuroscience and Web Intelligence

      • Jinglong Wu

      Pages 68-68

   7. Cognitive Informatics and Contemporary Mathematics for Knowledge Manipulation

      • Yingxu Wang

      Pages 69-78

   8. Rough Mereological Reasoning in Rough Set Theory: Recent Results and Problems

      • Lech Polkowski

      Pages 79-92

   9. Theoretical Study of Granular Computing

      • Qing Liu, Hui Sun

      Pages 93-102

   10. Knowledge Discovery by Relation Approximation: A Rough Set Approach

       • Hung Son Nguyen

       Pages 103-106

5. Rough Computing

   1. Reduction-Based Approaches Towards Constructing Galois (Concept) Lattices

      • Jingyu Jin, Keyun Qin, Zheng Pei

      Pages 107-113

   2. A New Discernibility Matrix and Function

      • Dayong Deng, Houkuan Huang

      Pages 114-121

   3. The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model

      • Yusheng Cheng, Yousheng Zhang, Xuegang Hu

      Pages 122-128

   4. On Axiomatic Characterization of Approximation Operators Based on Atomic Boolean Algebras

      • Tongjun Li

      Pages 129-134

This volume contains the papers selected for presentation at the First Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2006) organized in Chongqing, P. R. China, July 24-26, 2003. There were 503 s- missions for RSKT 2006 except for 1 commemorative paper, 4 keynote papers and 10 plenary papers. Except for the 15 commemorative and invited papers, 101 papers were accepted by RSKT 2006 and are included in this volume. The acceptance rate was only 20%. These papers were divided into 43 regular oral presentation papers (each allotted 8 pages), and 58 short oral presentation - pers (each allotted 6 pages) on the basis of reviewer evaluation. Each paper was reviewed by two to four referees. Since the introduction of rough sets in 1981 by Zdzis law Pawlak, many great advances in both the theory and applications have been introduced. Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multiagent systems design, and knowledge intensive computations that signal the emergence of a knowledge technology age. The essence of growth in cutting-edge, state-of-t- art and promising knowledge technologies is closely related to learning, pattern recognition,machine intelligence and automation of acquisition, transformation, communication, exploration and exploitation of knowledge. A principal thrust of such technologies is the utilization of methodologies that facilitate knowledge processing.

• Web Intelligence
• cognition
• evolution
• evolutionary computation
• fuzzy
• intelligence
• knowledge
• learning
• machine learning
• pattern recognition

• College of Computer Science and Technology, Chongqing, University of Posts and Telecommunication, Chongqing, P.R. China

  Guo-Ying Wang

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

  James F. Peters

• Institute of Mathematics, Warsaw University, Warsaw, Poland

  Andrzej Skowron

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

  Yiyu Yao