ICR: Individual consistency ratio (ICR) slot

In Prize: Prize: an R package for prioritization estimation based on analytic hierarchy process

Description

Individual consistency ratio (ICR) is a slot of geoAggreg and ariAggreg classes. It consists of a vector of individals judgements consistency ratio.

Author(s)

Daryanaz Dargahi <[e-mail]>

Examples

mat <- matrix(nrow = 4, ncol = 1, data = NA)
mat[,1] <- c(system.file('extdata','ind1.tsv',package = 'Prize'),
            system.file('extdata','ind2.tsv',package = 'Prize'),
            system.file('extdata','ind3.tsv',package = 'Prize'),
            system.file('extdata','ind4.tsv',package = 'Prize'))
rownames(mat) <- c('ind1','ind2','ind3', 'ind4')
colnames(mat) <- c('individual_judgement')

# Aggregation of individual judgements
res <- gaggregate(srcfile = mat, method = 'geometric', simulation = 500)
ICR(res)

# Aggregation of individual priorities
res <- gaggregate(srcfile = mat, method = 'arithmetic', simulation = 500)
ICR(res)

Example output

Reading individual judgements.
Aggregating individual judgements with geometric mean (AIJ).
Computing group consistency ratio (GCR).
Computing consensus index (CI).
      ind1       ind2       ind3       ind4 
0.01848582 0.01888112 0.02444515 0.10015228 
Reading individual judgements.
Aggregating individual priorities with arithmetic mean (AIP).
      ind1       ind2       ind3       ind4 
0.02062379 0.01855358 0.02549187 0.09877525 

Prize documentation built on April 28, 2020, 7:48 p.m.