Abstract
The information-theoretic measures of consensus, dissent and agreement are used to address the problem of the assignment of weights in recognition of expert opinions, and interval weights to reflect categorical weights. All measures are bounded in the 0 to 1 interval. Dissent is also interpreted as an indicator of dispersion. Thus, the values selected by a panel of experts is calculated for each targeted category and the category with the highest resulting value is the one chosen to represent the overall expert judgment. Further, the distances between threat levels can be calculated and the dispersion for the distribution may also be calculated. This is different from the standard statistical measures of variance for categorical values are based on an ordinal scale of ordered categories and the standard deviation requires the presence of an interval or ratio scale. Illustrations are shown to describe the functionality of the measures.
| Original language | English |
|---|---|
| Title of host publication | NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society |
| Pages | 31-35 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2007 |
| Event | NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society - San Diego, CA, United States Duration: Jun 24 2007 → Jun 27 2007 |
Other
| Other | NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 6/24/07 → 6/27/07 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Media Technology
Cite this
Using consensus to measure weighted targeted agreement. / Tastle, William J.; Wierman, Mark J.
NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society. 2007. p. 31-35 4271029.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Using consensus to measure weighted targeted agreement
AU - Tastle, William J.
AU - Wierman, Mark J.
PY - 2007
Y1 - 2007
N2 - The information-theoretic measures of consensus, dissent and agreement are used to address the problem of the assignment of weights in recognition of expert opinions, and interval weights to reflect categorical weights. All measures are bounded in the 0 to 1 interval. Dissent is also interpreted as an indicator of dispersion. Thus, the values selected by a panel of experts is calculated for each targeted category and the category with the highest resulting value is the one chosen to represent the overall expert judgment. Further, the distances between threat levels can be calculated and the dispersion for the distribution may also be calculated. This is different from the standard statistical measures of variance for categorical values are based on an ordinal scale of ordered categories and the standard deviation requires the presence of an interval or ratio scale. Illustrations are shown to describe the functionality of the measures.
AB - The information-theoretic measures of consensus, dissent and agreement are used to address the problem of the assignment of weights in recognition of expert opinions, and interval weights to reflect categorical weights. All measures are bounded in the 0 to 1 interval. Dissent is also interpreted as an indicator of dispersion. Thus, the values selected by a panel of experts is calculated for each targeted category and the category with the highest resulting value is the one chosen to represent the overall expert judgment. Further, the distances between threat levels can be calculated and the dispersion for the distribution may also be calculated. This is different from the standard statistical measures of variance for categorical values are based on an ordinal scale of ordered categories and the standard deviation requires the presence of an interval or ratio scale. Illustrations are shown to describe the functionality of the measures.
UR - http://www.scopus.com/inward/record.url?scp=35148888185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35148888185&partnerID=8YFLogxK
U2 - 10.1109/NAFIPS.2007.383806
DO - 10.1109/NAFIPS.2007.383806
M3 - Conference contribution
AN - SCOPUS:35148888185
SN - 1424412145
SN - 9781424412143
SP - 31
EP - 35
BT - NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
ER -