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| Paper IPM / Cognitive Sciences / 13361 |
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Dissimilarity assessment is a central problem in the Dempster-Shafer Theory (DST), where the difference in information content between two bodies of evidence (BoEs) should be quantified. Different dissimilarity measures (DMs) have been proposed; however, no single DM seems to be comprehensive enough to compare all aspects of information conveyed by BoEs. The information content of DMs are highly correlated as well. In this paper, DMS are categorized based on their interpretation of information content, emphasizing entropy-like DMs.
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