ahp.aggjudge {ahpsurvey} | R Documentation |

## Aggregate individual judgments

### Description

Aggregate individual judgments from pairwise comparison matrices

### Usage

```
ahp.aggjudge(ahpmat, atts, aggmethod = "geometric", 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 |

`aggmethod` |
The method of aggregating the judgments by all decision-makers. Five modes aggregation are available: |

`qt` |
specifies the quantile which the top |

### Value

A `data.frame`

of the aggregated pairwise judgments of all the decision-makers.

### Author(s)

Frankie Cho

### Examples

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

*ahpsurvey*version 0.4.1 Index]