An Intelligent Approach for the Evaluation of Innovation Projects

dc.contributor.author Samanlıoğlu, Funda
dc.contributor.author Ayağ, Zeki
dc.date.accessioned 2020-06-08T19:52:38Z
dc.date.available 2020-06-08T19:52:38Z
dc.date.issued 2020
dc.description.abstract In this study, an intelligent approach is presented for the evaluation and selection of innovation projects. Selecting the best innovation project is a complicated multiple criteria decision making (MCDM) problem with several potentially competing quantitative and qualitative criteria. In this paper, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (hesitant F-VIKOR) are integrated to evaluate and rank innovation projects. In the hesitant fuzzy AHP-VIKOR, hesitant F-AHP is used to find fuzzy evaluation criteria weights and hesitant F-VIKOR is implemented to rank innovation project alternatives. A numerical example is given where five innovation projects are evaluated based on nine criteria by three decision makers. en_US
dc.identifier.doi 10.3233/JIFS-179458 en_US
dc.identifier.issn 1064-1246
dc.identifier.issn 1875-8967
dc.identifier.scopus 2-s2.0-85078327162 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/2896
dc.identifier.uri https://doi.org/10.3233/JIFS-179458
dc.language.iso en en_US
dc.publisher IOS Press en_US
dc.relation.ispartof Journal of Intelligent & Fuzzy Systems
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject Innovation project selection en_US
dc.subject Fuzzy en_US
dc.subject Multiple-criteria decision making en_US
dc.subject AHP en_US
dc.subject VIKOR en_US
dc.title An Intelligent Approach for the Evaluation of Innovation Projects en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Samanlıoğlu, Funda en_US
gdc.author.institutional Ayaǧ, Zeki en_US
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access embargoed access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü en_US
gdc.description.endpage 915 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 905 en_US
gdc.description.volume 38 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W2989732219
gdc.identifier.wos WOS:000506856200085 en_US
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 9.0
gdc.oaire.influence 2.8610354E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Innovation project selection
gdc.oaire.keywords AHP
gdc.oaire.keywords Multiple-criteria decision making
gdc.oaire.keywords Fuzzy
gdc.oaire.keywords VIKOR
gdc.oaire.popularity 9.187853E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 2.09596996
gdc.openalex.normalizedpercentile 0.88
gdc.opencitations.count 14
gdc.plumx.crossrefcites 14
gdc.plumx.mendeley 40
gdc.plumx.scopuscites 18
gdc.relation.journal Journal of Intelligent & Fuzzy Systems
gdc.scopus.citedcount 18
gdc.virtual.author Samanlıoğlu, Funda
gdc.virtual.author Ayağ, Zeki
gdc.wos.citedcount 16
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relation.isAuthorOfPublication.latestForDiscovery 4e74c274-0592-4792-ac57-00061bd273aa
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