PrometheeII: Calculates PROMETHEE II method.

In RMCriteria: Multicriteria Package

Description

Calculates PROMETHEE II method.

Usage

PrometheeII(datMat, vecWeights, prefFunction, parms, normalize)

Arguments

datMat	A matrix containing the data from criterias and alternatives.
vecWeights	A vector of weights for each criteria.
prefFunction	A numerical vector to indicate the type of the Preference Function: prefFunction = 0 Gaussian Preference Function prefFunction = 1 Usual Preference Function prefFunction = 2 U-Shape Preference Function prefFunction = 3 V-Shape Preference Function prefFunction = 4 Level Preference Function prefFunction = 5 V-Shape Preference and Indiference Function
parms	a numerical matrix with parameters associated to the Preference Function. They're defined as a matrix of n columns and m rows. The maximum number of parameters is 3 and m is the number of criterias. The parameters are: Indifference Threshold (q) Preference Threshold (p) Gaussian Threshold (s)
normalize	A boolean to normalize the index.

Value

Preference Matrix

RMCriteria documentation built on May 2, 2019, 2:11 a.m.