data100x15 | R Documentation |
\times
15 DataData of 100 objects and 15 attributes, in which the first column contains the object
names and each subsequent column is a complete ranking of the 100 objects. The
included 50 \times
15 and 400 \times
15 datasets were generated from this dataset (see
data50x15
and data400x15
).
data(data100x15)
A data frame with 100 rows and 16 columns:
object name
ranking on the first attribute
ranking on the second attribute
ranking on the third attribute
ranking on the fourth attribute
ranking on the fifth attribute
ranking on the sixth attribute
ranking on the seventh attribute
ranking on the eigth attribute
ranking on the ninth attribute
ranking on the tenth attribute
ranking on the eleventh attribute
ranking on the twelfth attribute
ranking on the thirteenth attribute
ranking on the fourteenth attribute
ranking on the fifteenth attribute
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")}
data(data100x15)
input_rkgs <- t(as.matrix(data100x15[, -1]))
obj_names <- data100x15[,1]
# Determine the mean seed ranking
mean_seed(input_rkgs)
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