Integrated Uncertainty in Knowledge Modelling and Decision Making

International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011. Proceedings

  • Yongchuan Tang
  • Van-Nam Huynh
  • Jonathan Lawry

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7027)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7027)

Table of contents

  1. Front Matter
  2. Keynote and Invited Talks

  3. Contributed Papers

    1. Helio C. Silva Neto, Leonardo F. B. S. Carvalho, Fábio Paraguaçu, Roberta V. V. Lopes
      Pages 33-47
    2. Hong-Bin Yan, Tieju Ma, Yoshiteru Nakamori, Van-Nam Huynh
      Pages 48-59
    3. Yongchuan Tang, Jonathan Lawry
      Pages 60-71
    4. Min Tang, Xia Chen, Weidong Hu, Wenxian Yu
      Pages 72-80
    5. Keyun Qin, Zheng Pei, Yang Xu
      Pages 81-89
    6. Chenfang Zhao, Zheng Pei
      Pages 90-97
    7. Kangrong Tan, Meifen Chu, Shozo Tokinaga
      Pages 168-178

About these proceedings

Introduction

This book constitutes the refereed proceedings of the International
Symposium on Integrated Uncertainty in Knowledge Modeling and Decision  Making, IUKM 2011, held in Hangzhou, China, in October 2011.

The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.

Keywords

data mining fuzzy connectives genetic algorithms rough approximations semantic analysis

Editors and affiliations

  • Yongchuan Tang
    • 1
  • Van-Nam Huynh
    • 2
  • Jonathan Lawry
    • 3
  1. 1.College of Computer ScienceZhejiang UniversityHangzhouP.R. China
  2. 2.Japan Advanced Institute of Science and Technology (JAIST)TatsunokuchiJapan
  3. 3.Artificial Intelligence Group, Engineering Mathematics DepartmentUniversity of BristolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-24918-1
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-24917-4
  • Online ISBN 978-3-642-24918-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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