BBconsensus

Candidate to be the consensus ranking

Combined input matrix of the data set

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.

FULL

Default PS=FALSE. If PS=TRUE the number of evaluated branches is diplayed

Find a first approximation to the consensus ranking.

Compute the median ranking according to the Kemeny's axiomatic approach.
Rankings can or cannot contain ties, rankings can be both complete or incomplete.
The package contains both branch-and-bound algorithms and heuristic solutions recently proposed.
The package also provide some useful utilities for deal with preference rankings.
Essential references:
Emond, E.J., and Mason, D.W. (2002) <doi:10.1002/mcda.313>;
D'Ambrosio, A., Amodio, S., and Iorio, C. (2015) <doi:10.1285/i20705948v8n2p198>;
Amodio, S., D'Ambrosio, A., and Siciliano R. (2016) <doi:10.1016/j.ejor.2015.08.048>;
D'Ambrosio, A., Mazzeo, G., Iorio, C., and Siciliano, R. (2017) <doi:10.1016/j.cor.2017.01.017>.

BBconsensus: Find the first approximation to the consensus ranking. Most of the time the output is a solution, maybe not unique

Description

Usage

Arguments

Value

References