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 (US) |
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| Title of host publication | 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011 |
| DOIs | |
| State | Published - May 17 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 |
Publication series
| Name | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
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Other
| Other | 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011 |
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| Country | United States |
| City | El Paso, TX |
| Period | 3/18/11 → 3/20/11 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Mathematics(all)
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Cite this
Wierman, M. J., & Tastle, W. J. (2011). Multi-dimensional dissention. In 2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011 [5751928] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS). https://doi.org/10.1109/NAFIPS.2011.5751928