TY - GEN
T1 - Using consensus to measure weighted targeted agreement
AU - Tastle, William J.
AU - Wierman, Mark J.
PY - 2007/10/12
Y1 - 2007/10/12
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
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U2 - 10.1109/NAFIPS.2007.383806
DO - 10.1109/NAFIPS.2007.383806
M3 - Conference contribution
AN - SCOPUS:35148888185
SN - 1424412145
SN - 9781424412143
T3 - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
SP - 31
EP - 35
BT - NAFIPS 2007
T2 - NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
Y2 - 24 June 2007 through 27 June 2007
ER -