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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 13361
School of Cognitive Sciences
  Title:   Information-based dissimilarity assessment in Dempster-Shafer theory
  Author(s): 
1.  A. Sarabi-Jamab
2.  B. Araabi
3.  T. Augustin
  Status:   Published
  Journal: Knowledge-Based Systems
  Vol.:  54
  Year:  2013
  Pages:   114-127
  Supported by:  IPM
  Abstract:
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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