apply.MOOSRA: Multi-objective Optimization on the Basis of Simple Ratio...

In RMCDA: Multi-Criteria Decision Analysis

Multi-objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA)

Description

Multi-objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA)

Usage

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

Arguments

mat	A matrix of decision-making criteria values for different alternatives.
weights	A vector of weights for the criteria.
beneficial.vector	vector of column indices for beneficial criteria.

Value

A matrix containing the alternatives and their calculated scores, sorted by rank.

Examples

mat <- matrix(c(75.5, 95, 770, 187, 179, 239, 237,
420, 91, 1365, 1120, 875, 1190, 200,
74.2, 70, 189, 210, 112, 217, 112,
2.8, 2.68, 7.9, 7.9, 4.43, 8.51, 8.53,
21.4, 22.1, 16.9, 14.4, 9.4, 11.5, 19.9,
0.37, 0.33, 0.04, 0.03, 0.016, 0.31, 0.29,
0.16, 0.16, 0.08, 0.08, 0.09, 0.07, 0.06), nrow=7)
weights <- c(0.1, 0.2, 0.3, 0.1, 0.1, 0.1, 0.1)
beneficial.vector<- c(1, 2, 3, 6, 7)
apply.MOOSRA(mat, weights, beneficial.vector)

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