ahp.pwerror: Finds the pairwise comparisons with the maximum amount of...
In ahpsurvey: Analytic Hierarchy Process for Survey Data

Description Usage Arguments Value Author(s) References Examples

After constructing a list of matrices with ε_{ij} = a_{ij}w_{j}/w_{i} (following ahp.error), this algorithm extracts the top n numbers of pairwise comparison matrices with the highest ε_{ij} for each decision-maker.

1	ahp.pwerror(ahpmat, atts, npw = 3)

`ahpmat`	A list of pairwise comparison matrices of each decision maker generated by `ahp.mat`.
`atts`	a list of attributes in the correct order
`npw`	Number of pairwise comparisons

A list of matrices containing ε_{ij} = a_{ij}w_{j}/w_{i} for each decision-maker, with elements from the lower triangle set as NA automatically (since it is essentially equal to the element in the upper triangle).

Frankie Cho

\insertRef

Saaty2004ahpsurvey

library(magrittr)

atts <- c('cult', 'fam', 'house', 'jobs', 'trans')

data(city200)

cityahp <- ahp.mat(city200, atts, negconvert = TRUE)
ahp.error(cityahp, atts)