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Measuring granularity in evidence theory
Journal article   Peer reviewed

Measuring granularity in evidence theory

Mark J. Wierman
International Journal of General Systems, Vol.30(6), pp.649-660
30
2001

Abstract

Control and Systems Engineering Theoretical Computer Science Information Systems Modeling and Simulation Computer Science Applications
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.

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