EC-PROMETHEE Multi-Criteria Decision Method

Implements the EC-PROMETHEE multi-criteria decision method described by Basilio, Pereira and Yigit (2023) . 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.

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