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 language | English (US) |
|---|---|
| Pages (from-to) | 649-660 |
| Number of pages | 12 |
| Journal | International Journal of General Systems |
| Volume | 30 |
| Issue number | 6 |
| State | Published - Dec 1 2001 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Computer Science Applications
Fingerprint Dive into the research topics of 'Measuring granularity in evidence theory'. Together they form a unique fingerprint.
Cite this
Wierman, M. J. (2001). Measuring granularity in evidence theory. International Journal of General Systems, 30(6), 649-660.