robustness_tradeoff_analysis

Analyzes what happens when you sacrifice robustness for better performance.
Shows marginal benefits and losses for each objective when switching between management strategies across different robustness levels.

Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty.
It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs,
enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions,
generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.

Marc Djahangard

FoRDM

Forest Many-Objective Robust Decision Making ('FoRDM')

Rasoul Yousefpour

robustness_tradeoff_analysis function

<dl><dt>fordm_table</dt>
<dd>Output from build_FoRDM_table().</dd>
<dt>objectives</dt>
<dd>Output from build_objectives_regret().</dd></dl>

Arguments

Robustness Trade-Off Analysis (Regret-based) — robustness_tradeoff_analysis

<dl>

<dt>fordm_table</dt>
<dd>Output from build_FoRDM_table().</dd>


<dt>objectives</dt>
<dd>Output from build_objectives_regret().</dd>

</dl>

robustness_tradeoff_analysis: Robustness Trade-Off Analysis (Regret-based)

Description

Usage

Value

Arguments