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# Fuzzy monetary poverty estimation.
#
# @param predicate.ord A sorted vector of a predicate variable (in ascending order).
# @param weight.ord A sorted vector of weights (in the same order of s.ord)
# @param alpha The value of the exponent parameter to use in the non-linear equation as of Betti et. al, 2018.
# @param HCR The head count ratio.
# @param fm the type of membership function to use
# @param verbose prints the proceeding of the routine.
#
# @return The value of the objective function
#
fm_objective <- function(predicate.ord, weight.ord, alpha, HCR, fm, verbose){
switch(fm,
verma = {FM <- fm_mu(predicate.ord, weight.ord, alpha)},
verma2 = {FM <- fm_mu2(predicate.ord, weight.ord, alpha)},
TFR = {FM <- fm_mu_TFR(predicate.ord, weight.ord, alpha)})
if(verbose) cat('trying with alpha: ', round(alpha, 3) , ' Expected Value: ', round(weighted.mean(x = FM, w = weight.ord), 3), "\n")
return( weighted.mean(x = FM, w = weight.ord) - HCR )
}
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