apply.ORESTE: Apply the ORESTE (Organisation Rangement Et SynThèsE de...

In RMCDA: Multi-Criteria Decision Analysis

Apply the ORESTE (Organisation Rangement Et SynThèsE de données relationnelles) Method

Description

Criteria with indexes in beneficial.vector are interpreted as beneficial (maximize), whereas others are cost-type (minimize). Rankings are performed for both the data matrix and the weights, then combined in the ORESTE manner.

Usage

apply.ORESTE(mat, weights, beneficial.vector, alpha = 0.4)

Arguments

mat	A numeric matrix with each row representing an alternative and each column a criterion.
weights	A numeric vector of weights for each criterion (same length as number of columns).
beneficial.vector	An integer vector of column indices specifying which criteria are "max" (beneficial).
alpha	A numeric parameter controlling the relative weight of data-based and weight-based ranks.

Value

A numeric vector of ORESTE scores (summed ranks) for each alternative.

Examples

mat <- matrix(c(10, 2,
                20, 4,
                15, 5),
              nrow = 3, byrow = TRUE)
weights <- c(0.7, 0.3)
beneficial.vector <- c(1)   # 1st column "max", 2nd column "min"

apply.ORESTE(mat, weights, beneficial.vector, alpha = 0.4)

RMCDA documentation built on June 8, 2025, 11:14 a.m.