apply.MAUT {RMCDA} | R Documentation |
Apply Multi-Attribute Utility Theory (MAUT) Method
Description
Apply Multi-Attribute Utility Theory (MAUT) Method
Usage
apply.MAUT(mat, weights, beneficial.vector, utility.functions, step.size = 1)
Arguments
mat |
is a matrix containing values for different properties of different alternatives |
weights |
are the weights of each property in the decision-making process |
beneficial.vector |
is a vector containing the column numbers of beneficial properties |
utility.functions |
is a vector specifying the utility function for each criterion ('exp', 'step', 'quad', 'log', 'ln') |
step.size |
is a numeric value used for the step utility function (default is 1) |
Value
a matrix containing the calculated utility scores
Examples
mat <- matrix(c(75.5, 95, 770, 187, 179, 239, 237, 420, 91), nrow = 3, byrow = TRUE)
weights <- c(0.3, 0.5, 0.2)
beneficial.vector <- c(1, 3)
utility.functions <- c("exp", "log", "quad")
step.size <- 1
result <- apply.MAUT(mat, weights, beneficial.vector, utility.functions, step.size)
[Package RMCDA version 0.3 Index]