This paper addresses the question of assessing the relative reliability of unknown information sources. We propose to consider a phase during which the consistency of information they report is analysed, whether it is the consistency of each single report, or the consistency of a report w.r.t. some trusted knowledge or the consistency of different reports together. We adopt an axiomatic approach by first giving postulates which characterize how the resulting reliability preorder should be; then we define a family of operators for building this preorder and demonstrate that it satisfies the proposed postulates.
CITATION STYLE
Cholvy, L., Perrussel, L., Raynaut, W., & Thévenin, J. M. (2015). Consistency-based reliability assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9161, pp. 246–256). Springer Verlag. https://doi.org/10.1007/978-3-319-20807-7_22
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