| apply.FUCOM | R Documentation |
Determines the weights of criteria using the Full Consistency Method proposed by Pamucar, Stevic, and Sremac (2018). The decision-maker ranks the criteria from most to least important and supplies the comparative priority of each ranked criterion relative to the next-ranked one. The weights are then obtained by solving a nonlinear optimization model that minimizes the deviation from full consistency.
apply.FUCOM(criteria.lst, comparative.priority)
criteria.lst |
a character vector of criteria names ordered from the most important to the least important |
comparative.priority |
a numeric vector of length
|
a named numeric vector of weights (in the order of
criteria.lst) that sum to 1. The deviation from full consistency
\chi is attached as an attribute named "chi"; values close
to zero indicate full consistency.
Pamucar, D., Stevic, Z., & Sremac, S. (2018). A new model for determining weight coefficients of criteria in MCDM models: Full Consistency Method (FUCOM). Symmetry, 10(9), 393.
# Four criteria ranked from most to least important: C2 > C1 > C3 > C4
criteria.lst <- c("C2", "C1", "C3", "C4")
# Comparative priorities: phi_{C2/C1}=1.75, phi_{C1/C3}=1.43, phi_{C3/C4}=1.80
comparative.priority <- c(1.75, 1.43, 1.80)
apply.FUCOM(criteria.lst, comparative.priority)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.