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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 1 |
| Editors | P.P. Wang, P.P. Wang |
| Pages | 53-55 |
| Number of pages | 3 |
| Edition | 1 |
| State | Published - Dec 1 2000 |
| Event | Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 - Atlantic City, NJ, United States Duration: Feb 27 2000 → Mar 3 2000 |
Publication series
| Name | Proceedings of the Joint Conference on Information Sciences |
|---|---|
| Number | 1 |
| Volume | 5 |
Other
| Other | Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 |
|---|---|
| Country | United States |
| City | Atlantic City, NJ |
| Period | 2/27/00 → 3/3/00 |
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).