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Comparative analysis of the simple WISP and some prominent MCDM methods: a Python approach

dc.contributor.authorStanujkic, Dragisa
dc.contributor.authorKarabašević, Darjan
dc.contributor.authorPopović, Gabrijela
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorSaračević, Muzafer
dc.contributor.authorStanimirović, Predrag S.
dc.contributor.authorUlutaş, Alptekin
dc.contributor.authorKatsikis, Vasilios N.
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.date.accessioned2023-09-18T16:11:28Z
dc.date.available2023-09-18T16:11:28Z
dc.date.issued2021
dc.identifier.issn2075-1680
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112228
dc.description.abstractThis article presents a comparison of the results obtained using the newly proposed Simple Weighted Sum Product method and some prominent multiple criteria decision-making methods. For comparison, several analyses were performed using the Python programming language and its NumPy library. The comparison was also made on a real decision-making problem taken from the literature. The obtained results confirm the high correlation of the results obtained using the Simple Weighted Sum Product method and selected multiple criteria decision-making methods such as TOPSIS, SAW, ARAS, WASPAS, and CoCoSo, which confirms the usability of the Simple Weighted Sum Product method for solving multiple criteria decision-making problems.eng
dc.formatPDF
dc.format.extentp. 1-14
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyJ-Gate
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:114075473/datastreams/MAIN/content
dc.titleComparative analysis of the simple WISP and some prominent MCDM methods: a Python approach
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references15
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity of Belgrade
dc.contributor.institutionUniversity Business Academy in Novi Sad, Belgrade
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionUniversity of Novi Pazar
dc.contributor.institutionUniversity of Niš
dc.contributor.institutionSivas Cumhuriyet University
dc.contributor.institutionNational and Kapodistrian University of Athens
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionA02 - Taikomoji matematika / Applied mathematics
dc.subject.studydirectionL02 - Vadyba / Management studies
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enWISP
dc.subject.enMCDM
dc.subject.enWASPAS
dc.subject.enARAS
dc.subject.enSAW
dc.subject.enTOPSIS
dc.subject.enCoCoSo
dcterms.sourcetitleAxioms: Multiple-criteria decision-making and computational intelligence: recent applications
dc.description.issueiss. 4
dc.description.volumevol .10
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000735422900001
dc.identifier.doi10.3390/axioms10040347
dc.identifier.elaba114075473


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