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dc.contributor.authorShavazipour, Babooshka
dc.contributor.authorLópez-Ibáñez, Manuel
dc.contributor.authorMiettinen, Kaisa
dc.date.accessioned2021-07-20T05:30:38Z
dc.date.available2021-07-20T05:30:38Z
dc.date.issued2021
dc.identifier.citationShavazipour, B., López-Ibáñez, M., & Miettinen, K. (2021). Visualizations for Decision Support in Scenario-based Multiobjective Optimization. <i>Information Sciences</i>, <i>578</i>, 1-21. <a href="https://doi.org/10.1016/j.ins.2021.07.025" target="_blank">https://doi.org/10.1016/j.ins.2021.07.025</a>
dc.identifier.otherCONVID_98930281
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/77178
dc.description.abstractWe address challenges of decision problems when managers need to optimize several conflicting objectives simultaneously under uncertainty. We propose visualization tools to support the solution of such scenario-based multiobjective optimization problems. Suitable graphical visualizations are necessary to support managers in understanding, evaluating, and comparing the performances of management decisions according to all objectives in all plausible scenarios. To date, no appropriate visualization has been suggested. This paper fills this gap by proposing two visualization methods: a novel extension of empirical attainment functions for scenarios and an adapted version of heatmaps. They help a decision-maker in gaining insight into realizations of trade-offs and comparisons between objective functions in different scenarios. Some fundamental questions that a decision-maker may wish to answer with the help of visualizations are also identified. Several examples are utilized to illustrate how the proposed visualizations support a decision-maker in evaluating and comparing solutions to be able to make a robust decision by answering the questions. Finally, we validate the usefulness of the proposed visualizations in a real-world problem with a real decision-maker. We conclude with guidelines regarding which of the proposed visualizations are best suited for different problem classes.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesInformation Sciences
dc.rightsCC BY 4.0
dc.subject.othermulti-dimensional visualization
dc.subject.otherscenario-based multi-criteria optimization
dc.subject.otherMCDM
dc.subject.otherscenario planning
dc.subject.otheruncertainty
dc.subject.otherempirical attainment function
dc.titleVisualizations for Decision Support in Scenario-based Multiobjective Optimization
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202107204352
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1-21
dc.relation.issn0020-0255
dc.relation.volume578
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 The Authors. Published by Elsevier Inc.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber287496
dc.relation.grantnumber322221
dc.subject.ysomonitavoiteoptimointi
dc.subject.ysomallit (mallintaminen)
dc.subject.ysooptimointi
dc.subject.ysohaasteet (ongelmat)
dc.subject.ysoskenaariot
dc.subject.ysovisualisointi
dc.subject.ysopäätöksenteko
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
jyx.subject.urihttp://www.yso.fi/onto/yso/p510
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p6564
jyx.subject.urihttp://www.yso.fi/onto/yso/p3296
jyx.subject.urihttp://www.yso.fi/onto/yso/p7938
jyx.subject.urihttp://www.yso.fi/onto/yso/p8743
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.ins.2021.07.025
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramAcademy Project, AoFen
jyx.fundinginformationThis research was partly funded by the Academy of Finland (grants no. 287496 and 322221). This research is also related to the thematic research area Decision Analytics utilizing Causal Models and Multiobjective Optimization (DEMO, jyu.fi/demo) of the University of Jyvaskyla. M. López-Ibáñez is a “BeatrizGalindo” Senior Distinguished Researcher (BEAGAL 18/00053) funded by the Spanish Ministry of Science andInnovation (MICINN).


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