post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise.
Saved in:
| 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] |
| Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 159492201 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bonham%2C+Nathan%22">Bonham, Nathan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> nathan.bonham@colorado.edu</i><br /><searchLink fieldCode="AR" term="%22Kasprzyk%2C+Joseph%22">Kasprzyk, Joseph</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zagona%2C+Edith%22">Zagona, Edith</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Nov2022, Vol. 157, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Self-organizing+maps%22">Self-organizing maps</searchLink><br /><searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink><br /><searchLink fieldCode="DE" term="%22Conjoint+analysis%22">Conjoint analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+management%22">Environmental management</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+algebras%22">Cluster algebras</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=159492201 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.envsoft.2022.105491 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Self-organizing maps Type: general – SubjectFull: Watersheds Type: general – SubjectFull: Conjoint analysis Type: general – SubjectFull: Environmental management Type: general – SubjectFull: Decision making Type: general – SubjectFull: Cluster algebras Type: general Titles: – TitleFull: post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bonham, Nathan – PersonEntity: Name: NameFull: Kasprzyk, Joseph – PersonEntity: Name: NameFull: Zagona, Edith IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 13648152 Numbering: – Type: volume Value: 157 Titles: – TitleFull: Environmental Modelling & Software Type: main |
| ResultId | 1 |
