fordm_analysis_satisficing

Performs a satisficing-based many-objective robustness analysis for the provided data and objectives, providing a optimal robust management and the Pareto front.

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

fordm_analysis_satisficing function

<dl><dt>fordm_table</dt>
<dd>Output from build_fordm_table().</dd>
<dt>objectives</dt>
<dd>Output from build_objectives_satisficing().</dd>
<dt>robustness</dt>
<dd>Numeric (0-1) specifying the robustness level across SOWs, e.g., 0.9 evaluates management performance that meets objectives in at least 90% of SOWs.</dd></dl>

Arguments

FoRDM Satisficing-Based many-objective Robust Decision-Making Analysis — fordm_analysis_satisficing

<dl>

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


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


<dt>robustness</dt>
<dd>Numeric (0-1) specifying the robustness level across SOWs, e.g., 0.9 evaluates management performance that meets objectives in at least 90% of SOWs.</dd>

</dl>

fordm_analysis_satisficing: FoRDM Satisficing-Based many-objective Robust Decision-Making Analysis

Description

Usage

Value

Arguments