| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 403045 | Knowledge-Based Systems | 2011 | 11 Pages |
Abstract
This paper investigates the consequences of using inaccurate values.1 The paper will show that traditional notions of preferred diagnoses such as abductive diagnosis and minimum consistency-based diagnosis are no longer suited if the available data has different accuracies. A new notion of preferred diagnoses, called maximal-confirmation diagnoses, is introduced.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Nico Roos,