Skip to main content

Integrated Uncertainty in Knowledge Modelling and Decision Making

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

  • Conference proceedings
  • © 2013

Overview

  • Fast track conference proceedings
  • Unique visibility
  • State of the art research

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

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

Included in the following conference series:

Conference proceedings info: IUKM 2013.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

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.

Similar content being viewed by others

Keywords

Table of contents (19 papers)

Other volumes

  1. Integrated Uncertainty in Knowledge Modelling and Decision Making

Editors and Affiliations

  • School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

    Zengchang Qin

  • School of Knowledge Science, Japan Advanced Institute of Science and Technology, Japan

    Van-Nam Huynh

Bibliographic Information

Publish with us