dc.contributor.author | Zhou-Kangas, Yue | |
dc.contributor.author | Miettinen, Kaisa | |
dc.contributor.author | Sindhya, Karthik | |
dc.date.accessioned | 2018-08-22T10:25:29Z | |
dc.date.available | 2019-03-17T22:35:37Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Zhou-Kangas, Y., Miettinen, K., & Sindhya, K. (2019). Solving multiobjective optimization problems with decision uncertainty : an interactive approach. <i>Journal of Business Economics</i>, <i>89</i>(1), 25-51. <a href="https://doi.org/10.1007/s11573-018-0900-1" target="_blank">https://doi.org/10.1007/s11573-018-0900-1</a> | |
dc.identifier.other | CONVID_27960134 | |
dc.identifier.other | TUTKAID_77123 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/59307 | |
dc.description.abstract | We propose an interactive approach to support a decision maker to find a most preferred robust solution to multiobjective optimization problems with decision uncertainty. A new robustness measure that is understandable for the decision maker is incorporated as an additional objective in the problem formulation. The proposed interactive approach utilizes elements of the synchronous NIMBUS method and is aimed at supporting the decision maker to consider the objective function values and the robustness of a solution simultaneously. In the interactive approach, we offer different alternatives for the decision maker to express her/his preferences related to the robustness of a solution. To consolidate the interactive approach, we tailor a visualization to illustrate both the objective function values and the robustness of a solution. We demonstrate the advantages of the interactive approach by solving example problems. | fi |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartofseries | Journal of Business Economics | |
dc.rights | In Copyright | |
dc.subject.other | multiple criteria decision making | |
dc.subject.other | robust solutions | |
dc.subject.other | interactive methods | |
dc.subject.other | handling uncertainties | |
dc.subject.other | NIMBUS | |
dc.subject.other | robustness measure | |
dc.title | Solving multiobjective optimization problems with decision uncertainty : an interactive approach | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-201808213898 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Laskennallinen tiede | fi |
dc.contributor.oppiaine | Multiobjective Optimization Group | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.contributor.oppiaine | Computational Science | en |
dc.contributor.oppiaine | Multiobjective Optimization Group | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.date.updated | 2018-08-21T12:15:26Z | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 25-51 | |
dc.relation.issn | 0044-2372 | |
dc.relation.numberinseries | 1 | |
dc.relation.volume | 89 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © Springer-Verlag GmbH 2018 | |
dc.rights.accesslevel | openAccess | fi |
dc.subject.yso | monitavoiteoptimointi | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p32016 | |
dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
dc.relation.doi | 10.1007/s11573-018-0900-1 | |
dc.type.okm | A1 | |