Measuring Granularity in Evidence Theory

Mark J. Wierman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new measure of uncertainty for evidence theory is presented. The measure of granularity is similar in form to the Shannon entropy. It also has connections to the Hartley measure and the granularity measure of rough set theory.

Original languageEnglish (US)
Title of host publicationProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 1
EditorsP.P. Wang, P.P. Wang
Pages53-55
Number of pages3
Edition1
StatePublished - Dec 1 2000
EventProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 - Atlantic City, NJ, United States
Duration: Feb 27 2000Mar 3 2000

Publication series

NameProceedings of the Joint Conference on Information Sciences
Number1
Volume5

Other

OtherProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000
CountryUnited States
CityAtlantic City, NJ
Period2/27/003/3/00

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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  • Cite this

    Wierman, M. J. (2000). Measuring Granularity in Evidence Theory. In P. P. Wang, & P. P. Wang (Eds.), Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 1 (1 ed., pp. 53-55). (Proceedings of the Joint Conference on Information Sciences; Vol. 5, No. 1).