weight: Weight slot

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

Description

weight is a slot of ahpObj and ratingObj classes. It consists of computed AHP weights from a pairwise comparison matrix.

Author(s)

Daryanaz Dargahi <[e-mail]>

Examples

# ahp()
mat <- matrix(c(1,2,5, 1/2,1,3, 1/5,1/3,1), nrow = 3, ncol = 3, byrow = TRUE)
res <- ahp(mat, simulation = 500)
weight(res)

# rating()
mat <- matrix(nrow = 4, ncol = 4, data = NA)

## Category PCM matrix
rownames(mat) <- c('excellent','good','fair','poor')
colnames(mat) <- c('excellent','good','fair','poor')
mat[1,] <- c(1,2,4,6)
mat[2,] <- c(NA,1,2,4)
mat[3,] <- c(NA,NA,1,2)
mat[4,] <- c(NA,NA,NA,1)
## Alternative matrix
alt <- matrix(nrow = 5, ncol = 2, data = NA)
alt[,1] <- c("Andy", "Emily", "Nina", "Alex", "Jack")
alt[,2] <- c("good", "poor", "good", "fair", "excellent")

result <- rating(mat, alt, simulation = 500)
weight(result)

Example output

[1] 0.5815521 0.3089956 0.1094523
          priorities idealised_priorities
excellent 0.51275083            1.0000000
good      0.27549331            0.5372850
fair      0.13774666            0.2686425
poor      0.07400921            0.1443376

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