ahp.aggpref {ahpsurvey} | R Documentation |

## Aggregate priority weights

### Description

Compute and aggregate individual priority weights from pairwise comparison matrices

### Usage

```
ahp.aggpref(ahpmat, atts, method = "geometric", aggmethod = method, qt = 0)
```

### Arguments

`ahpmat` |
A list of pairwise comparison matrices of each decision maker generated by |

`atts` |
a list of attributes in the correct order |

`method` |
if |

`aggmethod` |
how to aggregate the individual priorities. By default |

`qt` |
specifies the quantile which the top |

### Value

A `data.frame`

of the aggregated priorities of all the decision-makers.

### Author(s)

Frankie Cho

### References

Saaty TL (2003).
“Decision-making with the AHP: Why is the principal eigenvector necessary.”
*European Journal of Operational Research*, **145**(1), 85 - 91.
ISSN 0377-2217, http://www.sciencedirect.com/science/article/pii/S0377221702002278.

### Examples

```
## Computes individual priorities with geometric mean and aggregates them
## with a trimmed arithmetic mean
library(magrittr)
data(city200)
atts <- c('cult', 'fam', 'house', 'jobs', 'trans')
cityahp <- ahp.mat(df = city200, atts = atts, negconvert = TRUE)
ahp.aggpref(cityahp, atts, method = 'geometric', aggmethod = 'tmean', qt = 0.1)
```

*ahpsurvey*version 0.4.1 Index]