Description
EC-PROMETHEE Multi-Criteria Decision Method.
Description
Implements the EC-PROMETHEE multi-criteria decision method described by Basilio, Pereira and Yigit (2023) <doi:10.3390/math11214432>. The method combines objective criteria weights from ENTROPY and CRITIC with optional subjective weights, generates random normalized weights inside criterion-specific ranges, and aggregates repeated PROMETHEE II rankings into a final score.
README.md
ecpromethee
ecpromethee implements the EC-PROMETHEE multi-criteria decision method from Basilio, Pereira and Yigit (2023), "New Hybrid EC-Promethee Method with Multiple Iterations of Random Weight Ranges".
The package provides:
- ENTROPY weights
- CRITIC weights
- lower and upper weight ranges per criterion
- random normalized weights inside each range
- PROMETHEE II ranking
- EC-PROMETHEE aggregation over many iterations
Installation
install.packages("ecpromethee")
For local development:
install.packages("devtools")
devtools::install("path/to/ecpromethee")
Example
library(ecpromethee)
decision_matrix <- matrix(
c(7, 9, 6,
8, 7, 7,
6, 8, 9),
nrow = 3,
byrow = TRUE,
dimnames = list(c("A1", "A2", "A3"), c("C1", "C2", "C3"))
)
result <- ec_promethee(
decision_matrix,
subjective_weights = c(0.3, 0.4, 0.3),
iterations = 100,
seed = 123
)
result$final_ranking
Reference
Basilio, M. P.; Pereira, V.; Yigit, F. (2023). New Hybrid EC-Promethee Method with Multiple Iterations of Random Weight Ranges: Applied to the Choice of Policing Strategies. Mathematics, 11(21), 4432. https://doi.org/10.3390/math11214432