CPP (version 0.1.0)

Composition of Probabilistic Preferences (CPP)

Description

CPP is a multiple criteria decision method to evaluate alternatives on complex decision making problems, by a probabilistic approach. The CPP was created and expanded by Sant'Anna, Annibal P. (2015) .

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Version

Install

install.packages('CPP')

Monthly Downloads

253

Version

0.1.0

License

GPL (>= 2)

Maintainer

Luiz Gavic3<a3>o

Last Published

May 11th, 2018

Functions in CPP (0.1.0)

CPP.SAW

CPP by weighted sum, with weights informed by the user

PMin.Beta

Probabilities of minimization, by Beta PERT distributions

PMin.Normal

Probabilities of minimization, by Normal distributions

CPP.mb

CPP with multiple perspectives for decision-making, based on the 'Moneyball' principle.

CPP.Tri.Beta

CPP for sorting alternatives in ordinal classes

CPP.AHP.Unif

CPP Additive Weighting with Probabilistic AHP using Uniform distributions

CPP.Choquet.Beta

CPP by Choquet integrals, using Beta PERT distributions

CPP.Axes.Normal

CPP by axes using Normal distributions

CPP.AHP.Beta

CPP Additive Weighting with Probabilistic AHP using Beta PERT distributions

CPP.Axes.Beta

CPP by axes using Beta PERT distributions

Agg.Sim

Aggregation of expert's estimatives by similarity of values

AHP.Unif

Probabilistic AHP using Uniform distributions

CPP-package

A Package for the Composition of Probabilistic Preferences (CPP)

PMax.Beta

Probabilities of maximization, by Beta PERT distributions

CPP.Tri.Choquet

CPP for sorting alternatives, based on Choquet integrals

Entrop.weights

Weights by entropy

CPP.SAW.Entropy

CPP by weighted sum, with weights computed from Shannon entropy.

CPP.Malmquist.Beta

CPP by the Malmquist Index, using Beta PERT distributions

CPP.Gini

CPP by the Gini Index, using Beta PERT distributions

CPP.rh

CPP with multiple perspectives for human resources evaluation

AHP.Beta

Probabilistic AHP using Beta PERT distributions

PMax.Normal

Probabilities of maximization, by Normal distributions