PrometheeI

A matrix containing the data from criterias and alternatives.

datMat

A vector of weights for each criteria.

vecWeights

A numerical vector to indicate the type of the
Preference Function:<ul>
<li><code>prefFunction = 0</code> Gaussian Preference Function</li>
<li><code>prefFunction = 1</code> Usual Preference Function</li>
<li><code>prefFunction = 2</code> U-Shape Preference Function</li>
<li><code>prefFunction = 3</code> V-Shape Preference Function</li>
<li><code>prefFunction = 4</code> Level Preference Function</li>
<li><code>prefFunction = 5</code> V-Shape Preference and Indiference Function</li>
</ul>

prefFunction

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:<ul>
<li>Indifference Threshold (<code>q</code>)</li>
<li>Preference Threshold (<code>p</code>)</li>
<li>Gaussian Threshold (<code>s</code>)</li>
</ul>

parms

normalize

internal

Provides a methodology to solve most of multicriteria ranking problems using partial and total pre-order from Promethee methods. Albuquerque & Montenegro (2015) <doi:10.1080/03610926.2014.942432>.

PrometheeI: Calculates PROMETHEE I method.

Description

Usage

Arguments