This R-code is intended for multicriteria decision support problems solved by the Composition of Probabilistic Preferences (CPP), created by Professor Annibal Parracho Sant´Anna. The two functions in this code calculate the joint probabilities of alternatives maximizing (PMax) and minimizing (PMin) their preferences in a criterion. The measures of the problem's decision matrix are the frequencies of responses to the Likert scale values collected by questionnaires
Summarization: The preference disaggregation framework of multicriteria decision aid focuses on infe...
Python scripts to estimate Latent Class Choice Models (LCCMs) with equal and unequal interval grids....
<p>Analysis of preference ratings separately for Random and Symmetry patterns.</p
This R-code is intended for multicriteria decision support problems solved by the Composition of Pro...
Abstract This paper aimed at presenting an Empirical Approach to the Composition of Probabilistic Pr...
AbstractThe Composition of Probabilistic Preferences (CPP) is employed here to combine evaluations o...
International audienceIn order to represent the preferences of a group of individuals, we introduce ...
Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a fa...
Eliciting the preferences of a Decision Maker (DM) is a challenging task in multi criteria-decision ...
This paper proposes a “probabilistic ” extension of conditional preference networks as a way to comp...
A popular discrete choice model that incorporates correlation information is the multinomial probit ...
(FR) Le développement des méthodes multicritères d'aide à la décision a permis de prendre conscience...
One major challenge to behavioral decision research is to identify the cognitive processes underlyin...
Probability of choice is the primary method of measurement suggested by stochastic models of choice...
International audienceRecent research on robust decision aiding has focused on identifying a range o...
Summarization: The preference disaggregation framework of multicriteria decision aid focuses on infe...
Python scripts to estimate Latent Class Choice Models (LCCMs) with equal and unequal interval grids....
<p>Analysis of preference ratings separately for Random and Symmetry patterns.</p
This R-code is intended for multicriteria decision support problems solved by the Composition of Pro...
Abstract This paper aimed at presenting an Empirical Approach to the Composition of Probabilistic Pr...
AbstractThe Composition of Probabilistic Preferences (CPP) is employed here to combine evaluations o...
International audienceIn order to represent the preferences of a group of individuals, we introduce ...
Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a fa...
Eliciting the preferences of a Decision Maker (DM) is a challenging task in multi criteria-decision ...
This paper proposes a “probabilistic ” extension of conditional preference networks as a way to comp...
A popular discrete choice model that incorporates correlation information is the multinomial probit ...
(FR) Le développement des méthodes multicritères d'aide à la décision a permis de prendre conscience...
One major challenge to behavioral decision research is to identify the cognitive processes underlyin...
Probability of choice is the primary method of measurement suggested by stochastic models of choice...
International audienceRecent research on robust decision aiding has focused on identifying a range o...
Summarization: The preference disaggregation framework of multicriteria decision aid focuses on infe...
Python scripts to estimate Latent Class Choice Models (LCCMs) with equal and unequal interval grids....
<p>Analysis of preference ratings separately for Random and Symmetry patterns.</p