calculateWeights: calculateWeights

In jakub-tomczak/BWM: Package with a simple implementation of the BWM MCDA method.

Description

Implementation based on https://doi.org/10.1016/j.omega.2015.12.001. Calculates weights of the criteria using a linear model. Steps: 1. Build model (consists of validating model and constructing necessary constraints for LP problem). 2. Solve LP problem. 3. Calculate consistency ratio.

Usage

calculateWeights(criteriaNames, bestToOthers, othersToWorst)

Arguments

criteriaNames	Names of the criteria
bestToOthers	Vector of pairwise comparisons. Best criterion should be 1, others <2, 9>.
othersToWorst	Vector of pairwise comparisons. Worst criterion should be 1, others <2, 9>.

Value

Result that consist of criteriaNames, criteriaWeights, consistencyRatio and a model that was used to calculate weights.

Examples

criteriaNames <- c("quality", "price", "comfort", "safety", "style")
bestToOthers <- c(2, 1, 4, 2, 8)
othersToWorst <- c(4, 8, 2, 4, 1)
calculateWeights(criteriaNames, bestToOthers, othersToWorst)

jakub-tomczak/BWM documentation built on May 29, 2019, 8:01 a.m.