weightedSum: Weighted sum of evaluations of alternatives.

In MCDA: Support for the Multicriteria Decision Aiding Process

Weighted sum of evaluations of alternatives.

Description

Computes the weighted sum of the evaluations of alternatives, stored in a performance table, with respect to a vector of criteria weights.

Usage

weightedSum(
  performanceTable,
  criteriaWeights,
  alternativesIDs = NULL,
  criteriaIDs = NULL
)

Arguments

performanceTable	Matrix or data frame containing the performance table. Each row corresponds to an alternative, and each column to a criterion. Rows (resp. columns) must be named according to the IDs of the alternatives (resp. criteria).
criteriaWeights	Vector containing the weights of the criteria. The elements are named according to the IDs of the criteria.
alternativesIDs	Vector containing IDs of alternatives, according to which the performance table should be filtered.
criteriaIDs	Vector containing IDs of criteria, according to which the performance table should be filtered.

Value

The function returns a vector containing the weighted sum of the alternatives with respect to the criteria weights.

Examples

alts <- paste0("alt", 1:4)
crit <- paste0("x", 1:3)
performanceTable <- matrix(runif(length(alts)*length(crit)), 
                           nrow=length(alts), ncol=length(crit), 
                           dimnames=list(alts, crit))
weights <- setNames(c(1,2,3), crit)
# Overall
weightedSum(performanceTable, weights)
# Subset of alteratives and criteria
weightedSum(performanceTable, weights, 
            alternativesIDs=c("alt2","alt3"), criteriaIDs=c("x2","x3"))

MCDA documentation built on Nov. 24, 2023, 5:10 p.m.