Multi-attribute decision making using weighted description logics

Erman Acar, Christian Meilicke

Research output: Contribution to ConferencePaperAcademic

Abstract

We introduce a framework based on Description Logics, which can be used to encode and solve decision problems in terms of combining inference services in DL and utility theory to represent preferences of the agent. The novelty of the approach is that we consider ABoxes as alternatives and weighted concept and role assertions as preferences in terms of possible outcomes. We discuss a relevant use case to show the benefits of the approach from the decision theory point of view.

Original languageEnglish
Pages1-14
Number of pages14
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event1st Workshop on Logics for Reasoning About Preferences, Uncertainty, and Vagueness, PRUV 2014 - Vienna, Austria
Duration: 23 Jul 201424 Jul 2014

Conference

Conference1st Workshop on Logics for Reasoning About Preferences, Uncertainty, and Vagueness, PRUV 2014
CountryAustria
CityVienna
Period23/07/1424/07/14

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