Multi-attribute decision making using weighted description logics

Erman Acar; Christian Meilicke

Multi-attribute decision making using weighted description logics

Erman Acar, Christian Meilicke

Research output: Contribution to Conference › Paper › Academic

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 language	English
Pages	1-14
Number of pages	14
Publication status	Published - 1 Jan 2014
Externally published	Yes
Event	1st Workshop on Logics for Reasoning About Preferences, Uncertainty, and Vagueness, PRUV 2014 - Vienna, Austria Duration: 23 Jul 2014 → 24 Jul 2014

Conference

Conference	1st Workshop on Logics for Reasoning About Preferences, Uncertainty, and Vagueness, PRUV 2014
Country/Territory	Austria
City	Vienna
Period	23/07/14 → 24/07/14

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AB - 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.

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T2 - 1st Workshop on Logics for Reasoning About Preferences, Uncertainty, and Vagueness, PRUV 2014

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Multi-attribute decision making using weighted description logics

Abstract

Conference

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