Abstract
We place the measures of Consensus and Dissention, tools originally developed to measure consensus in Likert scale data, in the context of the various measures of information profiled in Generalized Information Theory. We also indicate connections between the Consensus and Dissention and the Fisher information measure. Finally, we introduce a targeted measure of agreement.
| Original language | English |
|---|---|
| Title of host publication | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
| Pages | 253-256 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2006 |
| Event | NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society - Montreal, QC, Canada Duration: Jun 3 2006 → Jun 6 2006 |
Other
| Other | NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society |
|---|---|
| Country | Canada |
| City | Montreal, QC |
| Period | 6/3/06 → 6/6/06 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Media Technology
Cite this
Placing the dissonance measure in the context of generalized information theory. / Wierman, Mark J.; Tastle, William J.
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. 2006. p. 253-256 4216810.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Placing the dissonance measure in the context of generalized information theory
AU - Wierman, Mark J.
AU - Tastle, William J.
PY - 2006
Y1 - 2006
N2 - We place the measures of Consensus and Dissention, tools originally developed to measure consensus in Likert scale data, in the context of the various measures of information profiled in Generalized Information Theory. We also indicate connections between the Consensus and Dissention and the Fisher information measure. Finally, we introduce a targeted measure of agreement.
AB - We place the measures of Consensus and Dissention, tools originally developed to measure consensus in Likert scale data, in the context of the various measures of information profiled in Generalized Information Theory. We also indicate connections between the Consensus and Dissention and the Fisher information measure. Finally, we introduce a targeted measure of agreement.
UR - http://www.scopus.com/inward/record.url?scp=46749158713&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46749158713&partnerID=8YFLogxK
U2 - 10.1109/NAFIPS.2006.365417
DO - 10.1109/NAFIPS.2006.365417
M3 - Conference contribution
SN - 1424403634
SN - 9781424403639
SP - 253
EP - 256
BT - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
ER -