Abstract
To estimate how close the positions of different experts are, W. J. Tastle and M. J. Wierman proposed numerical measures of dissention and consensus, and showed that these measures indeed capture the intuitive ideas of dissent and consensus. Karen Villaverde and Olga Kosheleva showed that the Tastle-Wierman formulas can be naturally derived from the basic formulae of fuzzy logic. Here we build on this work to examine how to deal with consensus in a multidimensional setting.
| Original language | English |
|---|---|
| Title of host publication | 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011 |
| DOIs | |
| State | Published - 2011 |
| Event | 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011 - El Paso, TX, United States Duration: Mar 18 2011 → Mar 20 2011 |
Other
| Other | 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011 |
|---|---|
| Country | United States |
| City | El Paso, TX |
| Period | 3/18/11 → 3/20/11 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Mathematics(all)
Cite this
Multi-dimensional dissention. / Wierman, Mark J.; Tastle, William J.
2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011. 2011. 5751928.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-dimensional dissention
AU - Wierman, Mark J.
AU - Tastle, William J.
PY - 2011
Y1 - 2011
N2 - To estimate how close the positions of different experts are, W. J. Tastle and M. J. Wierman proposed numerical measures of dissention and consensus, and showed that these measures indeed capture the intuitive ideas of dissent and consensus. Karen Villaverde and Olga Kosheleva showed that the Tastle-Wierman formulas can be naturally derived from the basic formulae of fuzzy logic. Here we build on this work to examine how to deal with consensus in a multidimensional setting.
AB - To estimate how close the positions of different experts are, W. J. Tastle and M. J. Wierman proposed numerical measures of dissention and consensus, and showed that these measures indeed capture the intuitive ideas of dissent and consensus. Karen Villaverde and Olga Kosheleva showed that the Tastle-Wierman formulas can be naturally derived from the basic formulae of fuzzy logic. Here we build on this work to examine how to deal with consensus in a multidimensional setting.
UR - http://www.scopus.com/inward/record.url?scp=79955917430&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79955917430&partnerID=8YFLogxK
U2 - 10.1109/NAFIPS.2011.5751928
DO - 10.1109/NAFIPS.2011.5751928
M3 - Conference contribution
AN - SCOPUS:79955917430
SN - 9781612849676
BT - 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011
ER -