apply.MARCOS: Apply Measurement of Alternatives and Ranking according to...
In RMCDA: Multi-Criteria Decision Analysis

apply.MARCOS

R Documentation

Apply Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS)

Description

Apply Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS)

Usage

apply.MARCOS(mat, weights, beneficial.vector)

Arguments

`mat`	is a matrix and contains the values for different properties of different alternatives.
`weights`	are the weights of each property in the decision-making process.
`beneficial.vector`	is a vector that contains the column number of beneficial properties.

Value

a vector containing the aggregated appraisal scores.

Examples


mat <- matrix(c(660, 1000, 1600, 18, 1200,
                800, 1000, 1600, 24, 900,
                980, 1000, 2500, 24, 900,
                920, 1500, 1600, 24, 900,
                1380, 1500, 1500, 24, 1150,
                1230, 1000, 1600, 24, 1150,
                680, 1500, 1600, 18, 1100,
                960, 2000, 1600, 12, 1150), nrow = 8, byrow = TRUE)
weights <- c(0.1061, 0.3476, 0.3330, 0.1185, 0.0949)
beneficial.vector <- c(2, 3, 4, 5)  # Columns 2, 3, 4, and 5 are beneficial
apply.MARCOS(mat, weights, beneficial.vector)

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