Compute.Model: Evaluation of decision tree nodes

In mau: Decision Models with Multi Attribute Utility Theory

Description

Evaluation of decision tree nodes. All the MAUT model is computed at every level the utilities are computed considering the given weights.

Usage

Compute.Model(tree, utilities, weights)

Arguments

tree	initial tree structure with utilities in its leafs.
utilities	data.table with ordered columns containing the values of utilities.
weights	weights for the decision model.

Details

The whole decision model can be computed a any level and represented in a table format.

Value

data.table structure containing the utilities of the model for every level the decision tree.

Author(s)

Pedro Guarderas, Andr<c3><a9>s Lopez [e-mail]

See Also

Stand.String, Read.Utilities, Eval.Utilities, Read.Tree, Make.Decision.Tree, Sim.Const.Weights.

Examples

vignette( topic = 'Running_MAUT', package = 'mau' )

Example output

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mau documentation built on May 1, 2019, 8:23 p.m.