An Integrated Simple Weighted Sum Product Method-WISP

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dc.authoridPopovic, Gabrijela/0000-0002-2652-4860
dc.authoridStanujkic, Dragisa/0000-0002-6846-3074
dc.authoridMeidute-Kavaliauskiene, Ieva/0000-0003-0435-7632
dc.authoridUlutas, Alptekin/0000-0002-8130-1301
dc.authoridKarabasevic, Darjan/0000-0001-5308-2503
dc.contributor.authorStanujkic, Dragisa
dc.contributor.authorPopovic, Gabrijela
dc.contributor.authorKarabasevic, Darjan
dc.contributor.authorMeidute-Kavaliauskiene, Ieva
dc.contributor.authorUlutas, Alptekin
dc.date.accessioned2024-10-26T18:09:32Z
dc.date.available2024-10-26T18:09:32Z
dc.date.issued2023
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractUntil now, many different multiple criteria decision-making methods have been proposed for the facilitation of different business problems such as entrepreneurial. In this article, a new approach for selecting the most acceptable alternative is considered, which is based on the integration of weighted sum and weighted product approaches. The basic idea of the newly proposed approach is partly based on the multiobjective optimization by ratio analysis plus the full multiplicative form method, but also includes some features of the weighted aggregated sum product assessment and combined compromise solution methods. The proposed method is tested by using two illustrative examples that are related to the contractor and industrial robot selection. Additionally, to test its reliability, the obtained results are compared with the ones gained by using the multiple-criteria decision-making methods of the first and second generations. The proposed method predicts the application of a much simpler normalization procedure, involves four utility measures for defining the overall utility of alternatives, and enables a much easier ranking of them. The final conclusion is that the simple weighted sum product method is easy to use and contributes to the increasing of the reliability of decisions that are made. Therefore, the proposal uses a much simpler normalization procedure, i.e., four utility measures for determining the overall utility of alternatives, and allows a much easier ranking of alternatives.
dc.identifier.doi10.1109/TEM.2021.3075783
dc.identifier.endpage1944
dc.identifier.issn0018-9391
dc.identifier.issn1558-0040
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85106683458
dc.identifier.scopusqualityQ1
dc.identifier.startpage1933
dc.identifier.urihttps://doi.org/10.1109/TEM.2021.3075783
dc.identifier.urihttps://hdl.handle.net/20.500.12418/30161
dc.identifier.volume70
dc.identifier.wosWOS:000732680700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Transactions on Engineering Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSurface acoustic waves
dc.subjectIntegrated circuits
dc.subjectService robots
dc.subjectReliability
dc.subjectProposals
dc.subjectEconomics
dc.subjectComputational modeling
dc.subjectExponential weighted product (EWP)
dc.subjectsimple weighted sum product method (WISP)
dc.subjectweighted product (WP)
dc.subjectweighted sum (WS)
dc.titleAn Integrated Simple Weighted Sum Product Method-WISP
dc.typeArticle

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