Abstract
A well justified measure of uncertainty for rough set theory is presented along with an axiomatic derivation. The connection between this measure and classical measures of uncertainty is provided.
| Original language | English |
|---|---|
| Pages (from-to) | 283-297 |
| Number of pages | 15 |
| Journal | International Journal of General Systems |
| Volume | 28 |
| Issue number | 4 |
| State | Published - 1999 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computational Theory and Mathematics
Cite this
Measuring uncertainty in rough set theory. / Wierman, Mark J.
In: International Journal of General Systems, Vol. 28, No. 4, 1999, p. 283-297.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Measuring uncertainty in rough set theory
AU - Wierman, Mark J.
PY - 1999
Y1 - 1999
N2 - A well justified measure of uncertainty for rough set theory is presented along with an axiomatic derivation. The connection between this measure and classical measures of uncertainty is provided.
AB - A well justified measure of uncertainty for rough set theory is presented along with an axiomatic derivation. The connection between this measure and classical measures of uncertainty is provided.
UR - http://www.scopus.com/inward/record.url?scp=0033337745&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033337745&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0033337745
VL - 28
SP - 283
EP - 297
JO - International Journal of General Systems
JF - International Journal of General Systems
SN - 0308-1079
IS - 4
ER -