Measuring granularity in evidence theory

Mark J. Wierman

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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

Original languageEnglish
Pages (from-to)649-660
Number of pages12
JournalInternational Journal of General Systems
Volume30
Issue number6
StatePublished - 2001

Fingerprint

Evidence Theory
Rough set theory
Granularity
Entropy
Shannon Entropy
Rough Set Theory
Uncertainty

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science
  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Modeling and Simulation

Cite this

Measuring granularity in evidence theory. / Wierman, Mark J.

In: International Journal of General Systems, Vol. 30, No. 6, 2001, p. 649-660.

Research output: Contribution to journalArticle

Wierman, Mark J. / Measuring granularity in evidence theory. In: International Journal of General Systems. 2001 ; Vol. 30, No. 6. pp. 649-660.
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