Composition of Probabilistic Preferences (CPP)
Aggregation of expert's estimatives by similarity of values
Probabilistic AHP using Beta PERT distributions
Probabilistic AHP using Uniform distributions
A Package for the Composition of Probabilistic Preferences (CPP)
CPP Additive Weighting with Probabilistic AHP using Beta PERT distribu...
CPP Additive Weighting with Probabilistic AHP using Uniform distributi...
CPP by axes using Beta PERT distributions
CPP by axes using Normal distributions
CPP by Choquet integrals, using Beta PERT distributions
CPP by the Gini Index, using Beta PERT distributions
CPP by the Malmquist Index, using Beta PERT distributions
CPP with multiple perspectives for decision-making, based on the 'Mone...
CPP with multiple perspectives for human resources evaluation
CPP by weighted sum, with weights computed from Shannon entropy.
CPP by weighted sum, with weights informed by the user
CPP for sorting alternatives in ordinal classes
CPP for sorting alternatives, based on Choquet integrals
Weights by entropy
Probabilities of maximization, by Beta PERT distributions
Probabilities of maximization, by Normal distributions
Probabilities of minimization, by Beta PERT distributions
Probabilities of minimization, by Normal distributions
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) <doi:10.1007/978-3-319-11277-0>.