Argumentation-based qualitative preference modelling with incomplete and uncertain information

Visser, W.; Hindriks, K.V.; Jonker, C.M.

doi:doi:10.1007/s10726-011-9274-2

Argumentation-based qualitative preference modelling with incomplete and uncertain information

Title

Argumentation-based qualitative preference modelling with incomplete and uncertain information

Author

Visser, W.
Hindriks, K.V.
Jonker, C.M.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Date

2011-11-15

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.

Subject

qualitative multi-attribute preferences
argumentation
incomplete information
uncertain information

To reference this document use:

http://resolver.tudelft.nl/uuid:08b33a19-76ab-4f82-af39-79da42071b67

DOI

https://doi.org/10.1007/s10726-011-9274-2

Publisher

Springer

ISSN

0926-2644

Source

http://www.springerlink.com/content/4158264484435056/