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Proceedings Paper

Dempster-Shafer information measures in category theory
Author(s): Joseph S. J. Peri
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Paper Abstract

In the Dempster Shafer context, one can construct new types of information measures based on belief and plausibility functions. These measures differ from those in Shannon’s theory because, in his theory, information measures are based on probability functions. Other types of information measures were discovered by Kampe de Feriet and his colleagues in the French and Italian schools of mathematics. The objective of this paper is to construct a new category of information. I use category theory to construct a general setting in which the various types of information measures are special cases.

Paper Details

Date Published: 17 May 2016
PDF: 16 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420W (17 May 2016); doi: 10.1117/12.2228471
Show Author Affiliations
Joseph S. J. Peri, Johns Hopkins Univ. Applied Physics Lab., LLC (United States)

Published in SPIE Proceedings Vol. 9842:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

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