apply.SAW: Apply Simple Additive Weighting Method (SAW)

In RMCDA: Multi-Criteria Decision Analysis

Apply Simple Additive Weighting Method (SAW)

Description

Apply Simple Additive Weighting Method (SAW)

Usage

apply.SAW(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 score and corresponding ranking for the SAW function

Examples

mat <- matrix(c(60, 6.35, 6.8, 10, 2.5, 4.5, 3,
0.4, 0.15, 0.1, 0.2, 0.1, 0.08, 0.1,
2540, 1016, 1727.2, 1000, 560, 1016, 177,
500, 3000, 1500, 2000, 500, 350, 1000,
990, 1041, 1676, 965, 915, 508, 920), nrow=7)
colnames(mat)<-c("Load capacity", "Repeatability", "Maximum tip speed",
"Memory capacity", "Manipulator reach")
rownames(mat)<-paste0("A", 1:7)
weights <- c(0.1574, 0.1825, 0.2385, 0.2172, 0.2043)
beneficial.vector <- c(1, 3, 4, 5)
apply.SAW(mat, weights, beneficial.vector)

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