© 2013

Integrated Uncertainty in Knowledge Modelling and Decision Making

International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013. Proceedings

  • Zengchang Qin
  • Van-Nam Huynh


  • Fast track conference proceedings

  • Unique visibility

  • State of the art research

Conference proceedings IUKM 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8032)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8032)

Table of contents

  1. Front Matter
  2. Saleha Raza, Sajjad Haider, Mary-Anne Williams
    Pages 1-12
  3. Ronald Böck, Stefan Glüge, Andreas Wendemuth
    Pages 13-22
  4. Hong-Bin Yan, Tieju Ma, Van-Nam Huynh
    Pages 37-49
  5. Wafa Laâmari, Boutheina Ben Yaghlane, Christophe Simon
    Pages 50-64
  6. Jean-Baptiste Bordes, Franck Davoine, Philippe Xu, Thierry Denœux
    Pages 65-78
  7. Ahmed Samet, Imen Hammami, Eric Lefèvre, Atef Hamouda
    Pages 79-90
  8. Chuanqian Wang, Baochang Zhang, Zengchang Qin, Junyi Xiong
    Pages 91-100
  9. Feng Chen, Tingting Wang, Yu Wang, Shengfei Li, Jing Wang
    Pages 114-125
  10. Xiaojun Wang, Chen Yang, Baochang Zhang, Lei Wang
    Pages 126-136
  11. Tianwen Li, Feng Ma, Weiyi Liu
    Pages 137-148
  12. Wang Meng, Lin Lanfen, Wang Jing, Yu Penghua, Liu Jiaolong, Xie Fei
    Pages 157-166
  13. Reyes Juárez-Ramírez, Rafael Pimienta-Romo, Violeta Ocegueda-Miramontes
    Pages 167-179
  14. Violeta Ocegueda-Miramontes, Reyes Juárez-Ramírez
    Pages 180-191

About these proceedings


This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.


QFD algorithms clustering image classification knowledge management

Editors and affiliations

  • Zengchang Qin
    • 1
  • Van-Nam Huynh
    • 2
  1. 1.School of Automation Science and Electrical EngineeringBeihang UniversityBeijingChina
  2. 2.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyJapan

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