Calculates PROMETHEE IV KERNEL method.
brutePrometheeIVKernel(datMat_temp, vecWeights, prefFunction, parms, band, normalize)A matrix containing the data from criterias and alternatives.
A vector of weights for each criteria.
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
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)
A numerical matrix with m rows corresponding to each criteria and one column corresponding to the bandwitch estimated for that criteria. This bandwitch is used for Kernel Density Estimation in Promethee IV Kernel. By default, it is calculated using bw.nrd0.
A boolean to normalize the index.
Preference Matrix