Skip to main content
  • Conference proceedings
  • © 2016

Belief Functions: Theory and Applications

4th International Conference, BELIEF 2016, Prague, Czech Republic, September 21-23, 2016, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9861)

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

Conference series link(s): BELIEF: International Conference on Belief Functions

Conference proceedings info: BELIEF 2016.

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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

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

Table of contents (25 papers)

  1. Front Matter

    Pages I-XI
  2. Decission

    1. Front Matter

      Pages 35-35
    2. A New ER-MCDA Mapping for Decision-Making Based on Imperfect Information

      • Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Guillaume Dupouy, Mireille Batton-Hubert
      Pages 46-55
    3. Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection

      • Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Deqiang Han, Mireille Batton-Hubert
      Pages 56-65
    4. Decision-Making with Belief Interval Distance

      • Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Yi Yang
      Pages 66-74
    5. The BF-TOPSIS Approach for Solving Non-classical MCDM Problems

      • Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Hanlin Yin
      Pages 75-83
    6. Use of Evidence Theory in Fault Tree Analysis for Road Safety Inspection

      • Nopadon Kronprasert, Nattika Thipnee
      Pages 84-93
  3. Classification

    1. Front Matter

      Pages 95-95
    2. Characterization of Experts in Crowdsourcing Platforms

      • Amal Ben Rjab, Mouloud Kharoune, Zoltan Miklos, Arnaud Martin
      Pages 97-104
    3. k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework

      • Orakanya Kanjanatarakul, Songsak Sriboonchitta, Thierry Denœux
      Pages 105-112
    4. SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification

      • Marie Lachaize, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, Roger Reynaud
      Pages 113-122
    5. Semi-supervised Evidential Label Propagation Algorithm for Graph Data

      • Kuang Zhou, Arnaud Martin, Quan Pan
      Pages 123-133
  4. Information Fusion

    1. Front Matter

      Pages 135-135

Other Volumes

  1. Belief Functions: Theory and Applications

About this book

This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Belief Functions, BELIEF 2016, held in Prague, Czech Republic, in September 2016.

The 25 revised full papers presented in this book were carefully selected and reviewed from 33 submissions. The papers describe recent developments of theoretical issues and applications in various areas such as combination rules; conflict management; generalized information theory; image processing; material sciences; navigation.

Editors and Affiliations

  • Czech Academy of Sciences, nstitute of Information Theory and Automation, Prague , Czech Republic

    Jiřina Vejnarová

  • Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czech Republic

    Václav Kratochvíl

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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