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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "FoRDM" in publications use:'
type: software
license: MIT
title: 'FoRDM: Forest Many-Objective Robust Decision Making (''FoRDM'')'
version: 1.0.3
doi: 10.1016/j.ecoinf.2026.103903
identifiers:
- type: doi
  value: 10.32614/CRAN.package.FoRDM
abstract: 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.
authors:
- family-names: Djahangard
  given-names: Marc
  email: marc.djahangard@ife.uni-freiburg.de
- family-names: Yousefpour
  given-names: Rasoul
preferred-citation:
  type: article
  title: 'FoRDM: A toolkit for robust many-objective optimization to support forest
    decision-making under climate change'
  authors:
  - family-names: Djahangard
    given-names: Marc
    email: marc.djahangard@ife.uni-freiburg.de
  - family-names: Yousefpour
    given-names: Rasoul
  journal: Ecological Informatics
  year: '2026'
  volume: '97'
  doi: 10.1016/j.ecoinf.2026.103903
  url: https://doi.org/10.1016/j.ecoinf.2026.103903
  start: '103903'
repository: https://cran.r-universe.dev
repository-code: https://github.com/mdjahan/FoRDM
commit: bbdc7c9c82e55018081803e6784b2fb06a12de37
url: https://doi.org/10.1016/j.ecoinf.2026.103903
date-released: '2026-07-02'
contact:
- family-names: Djahangard
  given-names: Marc
  email: marc.djahangard@ife.uni-freiburg.de