Belief Functions: Theory and Applications

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

  • Jiřina Vejnarová
  • Václav Kratochvíl
Conference proceedings BELIEF 2016

DOI: 10.1007/978-3-319-45559-4

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

Table of contents

  1. Front Matter
    Pages I-XI
  2. Theoretical Issues

  3. Decission

    1. Front Matter
      Pages 35-35
    2. Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Guillaume Dupouy, Mireille Batton-Hubert
      Pages 46-55
    3. Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Deqiang Han, Mireille Batton-Hubert
      Pages 56-65
    4. Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Yi Yang
      Pages 66-74
    5. Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Hanlin Yin
      Pages 75-83
    6. Nopadon Kronprasert, Nattika Thipnee
      Pages 84-93
  4. Classification

    1. Front Matter
      Pages 95-95
    2. Amal Ben Rjab, Mouloud Kharoune, Zoltan Miklos, Arnaud Martin
      Pages 97-104
    3. Orakanya Kanjanatarakul, Songsak Sriboonchitta, Thierry Denœux
      Pages 105-112
    4. Marie Lachaize, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, Roger Reynaud
      Pages 113-122
    5. Kuang Zhou, Arnaud Martin, Quan Pan
      Pages 123-133
  5. Information Fusion

About these proceedings

Introduction

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.

Keywords

conflict management decision-making graphical models imprecise probabilities information fusion approximate reasoning classification crowdsourcing dempster-shafer theory evidential programming fuzzy sets image processing mapping optimization semi-supervised learning stochastic programming theory of evidence uncertainty unsupervised learning vehicle routing problem

Editors and affiliations

  • Jiřina Vejnarová
    • 1
  • Václav Kratochvíl
    • 2
  1. 1.Czech Academy of Sciencesnstitute of Information Theory and AutomationPrague Czech Republic
  2. 2.Czech Academy of SciencesInstitute of Information Theory and AutomationPragueCzech Republic

Bibliographic information

  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-45558-7
  • Online ISBN 978-3-319-45559-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349