Gravitational intelligent decision-making model at the fuzzy front end with extrinsic idea integration by the K-Means algorithm

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dc.authorid0000-0003-0504-3395en_US
dc.authorscopusid23981321400en_US
dc.authorwosidL-5002-2016en_US
dc.contributor.authorKurt, Onur Emre
dc.contributor.authorVayvay, Özalp
dc.date.accessioned2022-11-11T09:08:23Z
dc.date.available2022-11-11T09:08:23Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractIf the dynamic fuzziness of the Front End (FE) part of New Product Development (NPD) cannot be treated in a timely manner, fuzziness accumulates over other parts of NPD hence NPD can result in costly mistakes. The authors tried to remedy this strategically critical problem by implementing mainstream theoretical/methodological approaches, but they found inherent weaknesses of each. The purpose of this study is to bring an objective and intelligent decision-making model to FE so as to lessen fuzziness of it. Model quantizes ideas based on pillars, and re-clusters them with every new idea addition thanks to combining non-mainstream approaches like K-means, distance-based algorithm with gravitational theory inspiration, an accumulation of idea and an exponential function. Study showed that fuzziness of FE can be lessened by quantizing, and objectively managing. The founded core reasons of fuzziness can guide practitioners and authors for better understanding and coping with fuzziness of FE; moreover, the model can be used by companies. Introducing an objective and intelligent decision-making model working like a human brain to FE is a unique idea that has not been tried ever before.en_US
dc.identifier.citationKurt, O. E. & Vayvay, Ö. (2022). Gravitational intelligent decision-making model at the fuzzy front end with extrinsic idea integration by the K-Means algorithm. Systems, 10(5), pp. 1-14. https://doi.org/10.3390/systems10050194en_US
dc.identifier.doi10.3390/systems10050194en_US
dc.identifier.endpage14en_US
dc.identifier.issn2079-8954
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85140654395en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.3390/systems10050194
dc.identifier.urihttps://hdl.handle.net/20.500.13055/306
dc.identifier.volume10en_US
dc.identifier.wosWOS:000875955200001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynak.otherSSCI - Social Science Citation Indexen_US
dc.institutionauthorVayvay, Özalp
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofSystemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFuzzy Front End (FFE)en_US
dc.subjectExtrinsic Idea Integrationen_US
dc.subjectIdea Selectionen_US
dc.subjectIntelligent Decision-Makingen_US
dc.subjectDecision Supporten_US
dc.subjectK-Meansen_US
dc.titleGravitational intelligent decision-making model at the fuzzy front end with extrinsic idea integration by the K-Means algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication

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