QuickCons | R Documentation |

The Quick algorithm finds up to 4 solutions. Solutions reached are most of the time optimal solutions.

```
QuickCons(X, Wk = NULL, FULL = FALSE, PS = FALSE)
```

`X` |
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 which are represented by the columns. Alternatively X can contain the rankings observed only once in the sample. In this case the argument Wk must be used |

`Wk` |
Optional: the frequency of each ranking in the data |

`FULL` |
Default FULL=FALSE. If FULL=TRUE, the searching is limited to the space of full rankings. |

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

This function is deprecated and it will be removed in the next release of the package. Use function 'consrank' instead.

a "list" containing the following components:

Consensus | the Consensus Ranking | |

Tau | averaged TauX rank correlation coefficient | |

Eltime | Elapsed time in seconds |

Antonio D'Ambrosio antdambr@unina.it

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.

`consrank`

```
data(EMD)
CR=QuickCons(EMD[,1:15],EMD[,16])
```

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