Post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise. (November 2022)

• Record Type: Journal Article
• Authors: Bonham, Nathan; Kasprzyk, Joseph; Zagona, Edith
• Is Part Of: Environmental modelling & software. Volume 157(2022)
• Publication Date: 2022-11
• Subjects: Self-organizing maps (SOM) -- Decision-support -- Robustness -- Tradeoff analysis -- Colorado River Basin -- Multi-objective evolutionary algorithm (MOEA); Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2022.105491
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: This paper introduces post-MORDM, a decision-support framework that augments Many Objective Robust Decision Making (MORDM). MORDM often creates an intractable number of environmental management policies, characterized by decision variable, objective, and robustness values. This large number of policies inhibits decision support, causing disagreements among decision-makers. Post-MORDM addresses these challenges via the Self-Organizing Map (SOM), synthesizing MORDM data as layers organized in a map-like coordinate system. It uses the SOM to cluster policies, discover salient characteristics, and assess cause-effect relationships between decision-maker choices (i.e. decision variable values) and performance (objective and robustness values). Overall, the goal of post-MORDM is to create a structured platform that encourages negotiation and compromise. We demonstrate post-MORDM with a case study of two illustrative decision-makers for reservoir operation policy in the Colorado River Basin, USA. Post-MORDM helps communicate tradeoffs between storage and delivery objectives, relate tradeoffs to shortage policies, and identify mutually feasible policies. Graphical abstract: Image 1 Highlights: Paradigm shift: MORDM decision variables, objectives, robustness as map layers. Self-Organizing Map for policy clustering, dimension reduction, and visualization. Topology maps for decision-maker tradeoff analysis, negotiation, and compromise. Case study: multi-objective reservoir operation policy in the Colorado River Basin. Lake Mead: high magnitude, low frequency vs low magnitude, high frequency shortage.