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Rough Sets and Knowledge Technology

First International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Guo-Ying Wang

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

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  2. James F. Peters

    1. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba, Canada

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  3. Andrzej Skowron

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

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  4. Yiyu Yao

    1. Department of Computer Science, University of Regina, Regina,, Saskatchewan, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4062)

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

Included in the following conference series:

Conference proceedings info: RSKT 2006.

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Table of contents (116 papers)

  1. Rough Computing

    1. Rough Set Attribute Reduction in Decision Systems

      • Hongru Li, Wenxiu Zhang, Ping Xu, Hong Wang
      Pages 135-140

    2. A New Extension Model of Rough Sets Under Incomplete Information

      • Xuri Yin, Xiuyi Jia, Lin Shang
      Pages 141-146

    3. Applying Rough Sets to Data Tables Containing Possibilistic Information

      • Michinori Nakata, Hiroshi Sakai
      Pages 147-155

    4. Redundant Data Processing Based on Rough-Fuzzy Approach

      • Huanglin Zeng, Hengyou Lan, Xiaohui Zeng
      Pages 156-161

    5. Further Study of the Fuzzy Reasoning Based on Propositional Modal Logic

      • Zaiyue Zhang, Yuefei Sui, Cungen Cao
      Pages 162-169

    6. The M-Relative Reduct Problem

      • Fan Min, Qihe Liu, Hao Tan, Leiting Chen
      Pages 170-175

    7. Rough Contexts and Rough-Valued Contexts

      • Feng Jiang, Yuefei Sui, Cungen Cao
      Pages 176-183

    8. Combination Entropy and Combination Granulation in Incomplete Information System

      • Yuhua Qian, Jiye Liang
      Pages 184-190

    9. An Extension of Pawlak’s Flow Graphs

      • Jigui Sun, Huawen Liu, Huijie Zhang
      Pages 191-199

    10. Rough Sets and Brouwer-Zadeh Lattices

      • Jianhua Dai, Weidong Chen, Yunhe Pan
      Pages 200-207

    11. Covering-Based Generalized Rough Fuzzy Sets

      • Tao Feng, Jusheng Mi, Weizhi Wu
      Pages 208-215

    12. Axiomatic Systems of Generalized Rough Sets

      • William Zhu, Feiyue Wang
      Pages 216-221

    13. Rough-Sets-Based Combustion Status Diagnosis

      • Gang Xie, Xuebin Liu, Lifei Wang, Keming Xie
      Pages 222-226

    14. Research on System Uncertainty Measures Based on Rough Set Theory

      • Jun Zhao, Guoyin Wang
      Pages 227-232

    15. Conflict Analysis and Information Systems: A Rough Set Approach

      • Andrzej Skowron, Sheela Ramanna, James F. Peters
      Pages 233-240

    16. A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets

      • Qingxiang Wu, Jianyong Cai, Girijesh Prasad, T. M. McGinnity, David Bell, Jiwen Guan
      Pages 241-246

    17. Function S-Rough Sets and Recognition of Financial Risk Laws

      • Kaiquan Shi, Bingxue Yao
      Pages 247-253

    18. Knowledge Reduction in Incomplete Information Systems Based on Dempster-Shafer Theory of Evidence

      • Weizhi Wu, Jusheng Mi
      Pages 254-261

    19. Decision Rules Extraction Strategy Based on Bit Coded Discernibility Matrix

      • Yuxia Qiu, Keming Xie, Gang Xie
      Pages 262-267

    20. Attribute Set Dependence in Apriori-Like Reduct Computation

      • Pawel Terlecki, Krzysztof Walczak
      Pages 268-276
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  1. Rough Sets and Knowledge Technology

Keywords

About this book

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.

Editors and Affiliations

  • 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

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