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R Implementation of the MEthod based on the Removal Effects of Criteria - MEREC
Given a decision matrix, the function return the Merec weight´s vector and all intermediate matrixes/vector to calculate it.
More information about the method at https://doi.org/10.3390/sym13040525
More information about the implementation at https://github.com/lucassp/rmerec
library("devtools");
install_github("lucassp/rmerec");
library("rmerec")
...
install.packages("rmerec")
library("rmerec")
...
```
DOI´s test data
alternatives <- c(“A1”, “A2”, “A3”, “A4”, “A5”) optimizations <- c(“max”, “max”, “min”, “min”)
data <- matrix(c( c(450, 10, 100, 220, 5), # criterion 1 values c(8000, 9100, 8200, 9300, 8400), # criterion 2 values c(54, 2, 31, 1, 23), # criterion 3 values c(145, 160, 153, 162, 158) # criterion 4 values ), nrow=5, ncol=4)
result <- merec_weights(data, alternatives, optimizations)
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