data240x4 {RankAggSIgFUR} | R Documentation |
PrefLib 240 \times
4 Data
Description
Data 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) .
Usage
data(data240x4)
Format
A data frame with 240 rows and 5 columns:
- Object
object name
- Ranking 1
ranking on the first criterion
- Ranking 2
ranking on the second criterion
- Ranking 3
ranking on the third criterion
- Ranking 4
ranking on the fourth criterion
Source
References
Badal, P. S., & Das, A. (2018). Efficient algorithms using subiterative convergence for Kemeny ranking problem. Computers & Operations Research, 98, 198-210. 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.
Examples
data(data240x4)
input_rkgs <- t(as.matrix(data240x4[, -1]))
obj_names <- data240x4[,1]
# Determine the mean seed ranking
mean_seed(input_rkgs)