apply.COPRAS: Apply COmplex PRoportional ASsessment (COPRAS) method

In RMCDA: Multi-Criteria Decision Analysis

Apply COmplex PRoportional ASsessment (COPRAS) method

Description

Apply COmplex PRoportional ASsessment (COPRAS) method

Usage

apply.COPRAS(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 calculated quantitative utility

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)
colnames(mat)<-c("Toughness Index",	"Yield Strength",	"Young's Modulus",
"Density",	"Thermal Expansion",	"Thermal Conductivity",	"Specific Heat")
rownames(mat)<-c("AI 2024-T6",
"AI 5052-O",
"SS 301 FH",
"SS 310-3AH",
"Ti-6AI-4V",
"Inconel 718",
"70Cu-30Zn")
weights <- c(0.28, 0.14, 0.05, 0.24, 0.19, 0.05, 0.05)
beneficial.vector<-c(1,2,3)
apply.COPRAS(mat, weights, beneficial.vector)

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