divide_weights

After the addition of weights for internal nodes the final weights have to be 
computed dividing by the total weight of each parent.

Provides functions for the creation, evaluation and test of decision models based in
Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities
for a set of indexes, compute utilities and weights for the whole decision tree defining the
decision model and simulate weights employing Dirichlet distributions under addition constraints
in weights.
Also includes other rating analysis methods as for example the Colley, Offensive - Defensive
ratings and the ranking aggregation with Borda count.

Pedro Guarderas

Decision Models with Multi Attribute Utility Theory

Felipe Aguirre

Julio Andrade

Daniel Lagos

Andrés Lopez

Nelson Recalde

Edison Salazar

divide_weights function

<dl><dt>tree</dt>
<dd>igraph object representing the tree</dd></dl>

Arguments

Author

Divide weights of internal nodes — divide_weights

<dl>

<dt>tree</dt>
<dd>igraph object representing the tree</dd>

</dl>

divide_weights: Divide weights of internal nodes

Description

Usage

Value

Arguments

Author

See Also