BBconsensus: Find the first approximation to the consensus ranking. Most of the time the output is a solution, maybe not unique
Description
Find a first approximation to the consensus ranking.
Usage
BBconsensus(RR, cij, FULL = FALSE, PS = FALSE)
Arguments
RR
Candidate to be the consensus ranking
cij
Combined input matrix of the data set
FULL
Default FULL=FALSE. If FULL=TRUE, the searching is limited to the space of complete rankings. FULL=TRUE if the function is called by BBFULL algorithm.
PS
Default PS=FALSE. If PS=TRUE the number of evaluated branches is diplayed
Value
a "list" containing the following components:
cons
a first approximation of the median ranking
References
Amodio, S., D'Ambrosio, A. and Siciliano, R. (2016). Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach. European Journal of Operational Research, 249(2), 667-676.