apply.CRADIS: Function to apply CRiteria Aggregation for Decision...

In RMCDA: Multi-Criteria Decision Analysis

Function to apply CRiteria Aggregation for Decision Information Synthesis (CRADIS)

Description

Function to apply CRiteria Aggregation for Decision Information Synthesis (CRADIS)

Usage

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

Arguments

mat	is a matrix containing 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 numbers of beneficial criteria

Value

a vector containing the preference values for each alternative

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.CRADIS(mat, weights, beneficial.vector)

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