# Implementation of MetaRanking function for Multi-Criteria Decision Making Problems.

### Description

The `MetaRanking`

function internally calls functions `MMOORA`

, `RIM`

, `TOPSISLinear`

, `TOPSISVector`

, `VIKOR`

and `WASPAS`

and then calculates a sum of the their rankings and an aggregated ranking by applying the `RankAggreg`

package.

### Usage

1 | ```
MetaRanking(decision, weights, cb, lambda, v, AB, CD)
``` |

### Arguments

`decision` |
The decision matrix ( |

`weights` |
A vector of length |

`cb` |
A vector of length |

`lambda` |
A value in [0,1]. It is used in the calculation of the W index for WASPAS method. |

`v` |
A value in [0,1]. It is used in the calculation of the Q index for VIKOR method. |

`AB` |
A matrix ( |

`CD` |
A matrix ( |

### Value

`MetaRanking`

returns a data frame which contains the rankings of the Multi-MOORA, RIM, TOPSISLinear, TOPSISVector, VIKOR, WASPAS Methods and the both MetaRankings of the alternatives.

### Examples

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