kemenydesign

Define a design matrix to compute Kemeny distance

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 searching space of the solution can either be restricted to the universe of the permutations or unrestricted to all possible ties.
The package also provide some useful utilities for deal with preference rankings, including both element-weight Kemeny distance and correlation coefficient.
This release declare as deprecated some functions that are still in the package for compatibility. Next release will not contains these functions.
Please type '?ConsRank-deprecated'
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>;
Albano, A., and Plaia, A. (2021) <doi:10.1285/i20705948v14n1p117>.

Antonio DAmbrosio

ConsRank

Compute the Median Ranking(s) According to the Kemeny's
Axiomatic Approach

Antonio D'Ambrosio

Sonia Amodio

Giulio Mazzeo

Alessandro Albano

Antonella Plaia

kemenydesign function

<dl><dt>X</dt>
<dd>A N by M data matrix, in which there are N judges and M objects to be judged. Each row is a ranking of the objects represented by the columns.</dd></dl>

Arguments

Antonio D'Ambrosio <a href="/link/antdambr%40unina.it?package=ConsRank&version=2.1.5" data-mini-rdoc="ConsRank::antdambr@unina.it">antdambr@unina.it</a>

Author

Auxiliary function — kemenydesign

<dl>

<dt>X</dt>
<dd>A N by M data matrix, in which there are N judges and M objects to be judged. Each row is a ranking of the objects represented by the columns.</dd>

</dl>

Antonio D'Ambrosio <a href='mailto:antdambr@unina.it'>antdambr@unina.it</a>

kemenydesign: Auxiliary function

Description

Usage

Value

Arguments

Author

References