WSA: WSA
In jy-r/Rmcdm: Multicriteria decision making methods for R

Description Usage Arguments Examples

wsa mcdm method

1	WSA(matrix, weights, which_is_min)

`matrix`	data.frame (n \times m) of n alternatives and m crierias
`weights`	data.frame of weights size 1 \times n
`which_is_min`	logical vector for which criterias should be minimalized

matrix <- structure(list(edu = c(4, 2, 3, 4, 4, 3), eng = c(1, 2, 2, 3, 2, 3), 
                         pc = c(5, 4, 5, 2, 2, 3), prax = c(1, 0, 3, 2, 1, 3), 
                         int = c(85, 80, 85, 70, 65, 90)), .Names = c("edu", "eng","pc", "prax", "int"),
                          row.names = c(NA, -6L), class = "data.frame")
weights <- structure(list(X1 = c(0.2, 0.333333333333333, 0.133333333333333, 
                                0.0666666666666667, 0.266666666666667)),
                                 .Names = "X1", row.names = c(NA, -5L), class = "data.frame")
which_is_min = rep(0,5)
WSA(matrix, weights, which_is_min)