apply.WASPAS: Weighted Aggregated Sum Product Assessment (WASPAS)

In RMCDA: Multi-Criteria Decision Analysis

Weighted Aggregated Sum Product Assessment (WASPAS)

Description

Weighted Aggregated Sum Product Assessment (WASPAS)

Usage

apply.WASPAS(mat, weights, beneficial.vector, lambda)

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
lambda	a value between 0 and 1, used in the calculation of the W index

Value

the Q index from WASPAS

Examples

mat <- matrix(c(0.04, 0.11, 0.05, 0.02, 0.08, 0.05, 0.03, 0.1, 0.03,
1.137, 0.854, 1.07, 0.524, 0.596, 0.722, 0.521, 0.418, 0.62,
960, 1920, 3200, 1280, 2400, 1920, 1600, 1440, 2560), nrow=9)
colnames(mat)<-c("Dimensional Deviation (DD)", "Surface Roughness (SR)",
"Material Removal Rate (MRR)")

rownames(mat)<-paste0("A", 1:9)
beneficial.vector <- c(3)
weights <- c(0.1047, 0.2583, 0.6369)
apply.WASPAS(mat, weights, beneficial.vector, 0.5)

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