apply.SBWM: Function for applying the Stratified Best-Worst Method (SBWM)

In RMCDA: Multi-Criteria Decision Analysis

Function for applying the Stratified Best-Worst Method (SBWM)

Description

Function for applying the Stratified Best-Worst Method (SBWM)

Usage

apply.SBWM(
  comparison.mat,
  others.to.worst,
  others.to.best,
  state.worst.lst,
  state.best.lst,
  likelihood.vector
)

Arguments

comparison.mat	the comparison matrix containing the alternatives as column names and the criteria as row names.
others.to.worst	the comparison of the criteria to the worst criteria for each state, column names should be states and the row names are criteria
others.to.best	the comparison of the criteria to the best criteria for each state, column names should be states and the row names are criteria
state.worst.lst	the vector containing the name of the worst criteria in each state
state.best.lst	the vector containing the name of the best criteria in each state
likelihood.vector	the vector containing the likelihood of being in each state.

Value

the result of SBWM

Examples

data <- read.csv(system.file("extdata",
 "stratified_BWM_case_study_I_example.csv",
  package = "RMCDA"), header = FALSE)
mat.lst <- read.csv.SBWM.matrices(data)
comparison.mat <- mat.lst[[1]]
others.to.worst <- mat.lst[[2]]
others.to.best <- mat.lst[[3]]
state.worst.lst <- mat.lst[[4]]
state.best.lst <- mat.lst[[5]]
likelihood.vector <- mat.lst[[6]]
apply.SBWM(comparison.mat, others.to.worst,
 others.to.best, state.worst.lst,
  state.best.lst, likelihood.vector)

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