apply.SMCDM: Apply Stratified Multi-Criteria Decision Making (SMCDM)...

In RMCDA: Multi-Criteria Decision Analysis

Apply Stratified Multi-Criteria Decision Making (SMCDM) method

Description

Apply Stratified Multi-Criteria Decision Making (SMCDM) method

Usage

apply.SMCDM(
  comparison.mat,
  state.criteria.probs,
  likelihood.vector,
  independent.events = TRUE
)

Arguments

comparison.mat	the matrix containing alternatives as row names and criteria as column names and corresponding scores as cell values.
state.criteria.probs	the matrix containing the states as column names and criteria as row names and the corresponding scores as matrix values.
likelihood.vector	the vector containing the likelihood of being in each state.
independent.events	this parameter is set to TRUE by default which indicates only the probability of the occurence of each event is required (strati I and II). If set to FALSE then the user should provide the probabilities of occurrence of all states.

Value

the SMCDM results

Examples

data <- read.csv(system.file("extdata", "SMCDM_input.csv", package = "RMCDA"), header=FALSE)
mat.lst <- read.csv.SMCDM.matrices(data)
comparison.mat <- mat.lst[[1]]
state.criteria.probs <- mat.lst[[2]]
likelihood.vector <- mat.lst[[3]]
apply.SMCDM(comparison.mat, state.criteria.probs, likelihood.vector)

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