Integrated Uncertainty Management and Applications

  • Van-Nam Huynh
  • Yoshiteru Nakamori
  • Jonathan Lawry
  • Masahiro Inuiguchi

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 68)

Table of contents

  1. Front Matter
  2. Keynote and Invited Talks

  3. Fuzzy Measures and Integrals

  4. Integrated Uncertainty and Operations Research

    1. Front Matter
      Pages 139-139
    2. Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
      Pages 141-152
    3. Peijun Guo, Hideo Tanaka
      Pages 153-162
    4. Masahiro Inuiguchi, Fumiki Mizoshita
      Pages 163-174
    5. Pei-Chun Lin, Berlin Wu, Junzo Watada
      Pages 175-186
    6. Shuming Wang, Junzo Watada, Shamshul Bahar Yaakob
      Pages 209-220
  5. Aggregation Operators and Decision Making

    1. Front Matter
      Pages 231-231
    2. Jaroslav Ramík, Milan Vlach
      Pages 233-244
    3. Eiichiro Takahagi
      Pages 245-256
    4. Didier Dubois, Hélène Fargier, Sandra Sandri
      Pages 257-268
    5. Tomoe Entani, Masahiro Inuiguchi
      Pages 269-280
    6. Hong-Bin Yan, Van-Nam Huynh, Yoshiteru Nakamori
      Pages 281-292
  6. Logical Approaches to Uncertainty

    1. Front Matter
      Pages 305-305
    2. Sadaaki Miyamoto
      Pages 307-317
    3. Tetsuya Murai, Seiki Ubukata, Yasuo Kudo, Seiki Akama, Sadaaki Miyamoto
      Pages 329-334
    4. Seiki Akama, Tetsuya Murai, Yasuo Kudo
      Pages 335-342
    5. Michiro Kondo
      Pages 343-347
    6. Mayuka F. Kawaguchi, Yasushi Koike, Masaaki Miyakoshi
      Pages 349-354
  7. Reasoning with Uncertainty

    1. Front Matter
      Pages 355-355
    2. Elsa Carvalho, Jorge Cruz, Pedro Barahona
      Pages 357-369
    3. Hiroshi Sakai, Michinori Nakata, Dominik Ślȩzak
      Pages 395-406
    4. Koichi Yamada, Vilany Kimala
      Pages 407-416
  8. Data Mining

    1. Front Matter
      Pages 417-417
    2. Sinh Hoa Nguyen, Hung Son Nguyen
      Pages 419-430
    3. Krisztián Balázs, János Botzheim, László T. Kóczy
      Pages 431-442
    4. Luis Gabriel Jaimes, Vicenç Torra
      Pages 443-452

About this book


Solving practical problems often requires the integration of information and knowledge from many different sources, taking into account uncertainty and impreciseness. Typical situations are, for instance, when we need to simultaneously process both measurement data and expert knowledge, where the former may be uncertain and inaccurate due to randomness or error in measurements whilst the latter are often vague and imprecise due to a lack of information or human’s subjective judgements. This gives rise to the demand for methods and techniques of managing and integrating various types of uncertainty within a coherent framework, so as to ultimately improve the solution to any such complex problem in practice. The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM’2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th–11thApril, is therefore conceived as a forum for the discussion and exchange of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.


Extension aggregation operators artificial intelligence computational intelligence data mining decision problem fuzzy fuzzy logic fuzzy sets intelligence machine learning management modeling operations research uncertainty

Editors and affiliations

  • Van-Nam Huynh
    • 1
  • Yoshiteru Nakamori
    • 1
  • Jonathan Lawry
    • 2
  • Masahiro Inuiguchi
    • 3
  1. 1.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyIshikawaJapan
  2. 2.Department of Engineering MathematicsUniversity of BristolBristolUnited Kingdom
  3. 3.Graduate School of Engineering ScienceOsaka UniversityOsakaJapan

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-11959-0
  • Online ISBN 978-3-642-11960-6
  • Series Print ISSN 1867-5662
  • Series Online ISSN 1867-5670
  • Buy this book on publisher's site