data240x4 | R Documentation |
\times
4 DataData of 240 cities across the globe ranked on four criteria from the ED-00015-001.soc dataset in the PrefLib repository. The first column contains the object names and each subsequent column is a complete ranking of the 240 objects with no ties) .
data(data240x4)
A data frame with 240 rows and 5 columns:
object name
ranking on the first criterion
ranking on the second criterion
ranking on the third criterion
ranking on the fourth criterion
Badal, P. S., & Das, A. (2018). Efficient algorithms using subiterative convergence for Kemeny ranking problem. Computers & Operations Research, 98, 198-210. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.cor.2018.06.007")}
Mattei, N., & Walsh, T. (2013, November). Preflib: A library for preferences https://www.preflib.org/. In International conference on algorithmic decision theory (pp. 259-270). Springer, Berlin, Heidelberg.
data(data240x4)
input_rkgs <- t(as.matrix(data240x4[, -1]))
obj_names <- data240x4[,1]
# Determine the mean seed ranking
mean_seed(input_rkgs)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.