hal-00646484, version 1

Numerical information fusion: Lattice of answers with supporting arguments

Zainab Assaghir () ¹, Amedeo Napoli () ¹, Mehdi Kaytoue () ², Didier Dubois () ³, Henri Prade () ³

23rd IEEE International Conference on Tools with Artificial Intelligence - ICTAI 2011 (2011) 621-628

• 1:  ORPAILLEUR (INRIA Lorraine - LORIA)
• 
  INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL) France
• 2:  Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
• http://www.loria.fr
  INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL) Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex France
• 3:  Institut de recherche en informatique de Toulouse (IRIT)
• http://www.irit.fr/
  CNRS : UMR5505 – Institut National Polytechnique de Toulouse - INPT – Université des Sciences Sociales - Toulouse I – Université Toulouse I [UT1] Capitole – Université Toulouse le Mirail - Toulouse II – Université Paul Sabatier [UPS] - Toulouse III 118 Route de Narbonne, F-31062 Toulouse Cedex 9 France

Bibliographic reference

• Type of document: Peer-reviewed conferences/proceedings
• Subject: Computer Science/Artificial Intelligence
• Title: Numerical information fusion: Lattice of answers with supporting arguments
• Abstract: The problem addressed in this paper is the merging of numerical information provided by several sources. Merging conflicting pieces of information into an interpretable and useful format is a tricky task even when an information fusion method is chosen. The use of formal concept analysis and pattern structures enables us to associate subsets of sources to combination results obtainable from consistent subsets of pieces of information. This provides a lattice of arguments where the reliability of sources can be taken into account. Instead of providing a unique fusion result, the method yields a structured view of partial results labelled by subsets of sources and allows us to argue about the most appropriate evaluation. The approach is illustrated with an experiment on a real-world application to decision aid in agricultural practices.
• Fulltext language: English
• Production date: 2011-11
• Book title: Tools with Artificial Intelligence - ICTAI 2011
• Audience: international
• Publication date: 2011-10
• Page, identifiant, ...: 621-628
• Conference or book title: 23rd IEEE International Conference on Tools with Artificial Intelligence - ICTAI 2011
• Conference date: 2011-11-07
• Conference date (end): 2011-11-09
• City: Boca-Raton
• Country: United States
• Keyword(s): numerical information fusion – reliability – formal concept analysis – pattern structure – lattice of arguments.

Attached file list to this document: 

• hal-00646484, version 1
• http://hal.archives-ouvertes.fr/hal-00646484
• oai:hal.archives-ouvertes.fr:hal-00646484
• From: Zainab Assaghir <>
• Submitted on: Wednesday, 30 November 2011 18:40:56
• Updated on: Friday, 2 December 2011 15:28:25