A quantitative preference-based structured argumentation system for decision support - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2014

A quantitative preference-based structured argumentation system for decision support

Nouredine Tamani
  • Function : Author
  • PersonId : 1184380
Madalina Croitoru

Abstract

We introduce in this paper a quantitative preference based argumentation system relying on ASPIC argumentation framework [1] and fuzzy set theory. The knowledge base is fuzzified to allow agents expressing their expertise (premises and rules) attached with grades of importance in the unit interval. Arguments are then attached with a strength score aggregating the importance expressed on their premises and rules. Extensions, corresponding to subsets of consistent arguments, are also attached with forces computed based on their strong arguments. The forces are used then to rank extensions from the strongest to the weakest one, upon which decisions can be made. We have also shown that the strength preference relation defined over arguments is reasonable [2] and our fuzzy ASPIC argumentation system can be seen as a computationally efficient instantiation of the generic model of structured argumentation framework introduced in [2].
Fichier principal
Vignette du fichier
7.pdf (277.97 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

lirmm-01089588 , version 1 (02-12-2014)

Identifiers

Cite

Nouredine Tamani, Madalina Croitoru. A quantitative preference-based structured argumentation system for decision support. FUZZ-IEEE, Jul 2014, Beijing, China. pp.1408-1415, ⟨10.1109/FUZZ-IEEE.2014.6891601⟩. ⟨lirmm-01089588⟩
295 View
238 Download

Altmetric

Share

Gmail Facebook X LinkedIn More