Argumentation-Based Qualtitative Preference Modelling with Incomplete and Uncertain Information

Wietske Visser*, Koen V. Hindriks, Catholijn M. Jonker

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This paper presents an argumentation-based framework for the modelling of, and automated reasoning about multi-attribute preferences of a qualitative nature. The framework presents preferences according to the lexicographic ordering that is well-understood by humans. Preferences are derived in part from knowledge. Knowledge, however, may be incomplete or uncertain. The main contribution of the paper is that it shows how to reason about preferences when only incomplete or uncertain information is available. We propose a strategy that allows reasoning with incomplete information and discuss a number of strategies to handle uncertain information. It is shown how to extend the basic framework for modelling preferences to incorporate these strategies.

Original languageEnglish
Pages (from-to)99-127
Number of pages29
JournalGroup Decision and Negotiation
Volume21
Issue number1
DOIs
Publication statusPublished - 1 Jan 2012
Externally publishedYes

Keywords

  • Argumentation
  • Incomplete information
  • Qualitative multi-attribute preferences
  • Uncertain information

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