TY - GEN
T1 - Multi-dimensional dissention
AU - Wierman, Mark J.
AU - Tastle, William J.
PY - 2011/5/17
Y1 - 2011/5/17
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
T3 - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
BT - 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011
T2 - 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011
Y2 - 18 March 2011 through 20 March 2011
ER -