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post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise.

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Title: post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise.
Authors: Bonham, Nathan1,2 (AUTHOR) nathan.bonham@colorado.edu, Kasprzyk, Joseph1,2 (AUTHOR), Zagona, Edith1,2 (AUTHOR)
Source: Environmental Modelling & Software. Nov2022, Vol. 157, pN.PAG-N.PAG. 1p.
Subjects: Self-organizing maps, Watersheds, Conjoint analysis, Environmental management, Decision making, Cluster algebras
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. [Display omitted] • 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. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
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. [Display omitted] • 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. [ABSTRACT FROM AUTHOR]
ISSN:13648152
DOI:10.1016/j.envsoft.2022.105491