Fuzzy neural tree in evolutionary computation for architectural design cognition

Basit Öğe Kaydı
dc.contributor.authorÇiftçioğlu, Özer
dc.contributor.authorBittermann, Micheal S.
dc.date.accessioned2024-07-12T20:57:08Z
dc.date.available2024-07-12T20:57:08Z
dc.date.issued2015en_US
dc.departmentFakülteler, Mimarlık ve Tasarım Fakültesi, Mimarlık Bölümüen_US
dc.descriptionIEEE Congress on Evolutionary Computation, CEC 2015 -- 25 May 2015 through 28 May 2015 -- -- 118157en_US
dc.description.abstractA novel fuzzy-neural tree (FNT) is presented. Each tree node uses a Gaussian as a fuzzy membership function, so that the approach uniquely is in align with both the probabilistic and possibilistic interpretations of fuzzy membership. It provides a type of logical operation by fuzzy logic (FL) in a neural structure in the form of rule-chaining, yielding a novel concept of weighted fuzzy logical AND and OR operation. The tree can be supplemented both by expert knowledge, as well as data set provisions for model formation. The FNT is described in detail pointing out its various potential utilizations demanding complex modeling and multi-objective optimization therein. One of such demands concerns cognitive computing for design cognition. This is exemplified and its effectiveness is demonstrated by computer experiments in the realm of Architectural design. © 2015 IEEE.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştirma Kurumuen_US
dc.description.sponsorshipThis work has been accomplished under the auspice of T?BiTAK (Scientific and Technological Research Council of Turkey.) Contract No. 1059B211400884. The support is gratefully acknowledged.en_US
dc.identifier.citationÇiftçioğlu, Ö. ve Bittermann, M. S. (2015). Fuzzy neural tree in evolutionary computation for architectural design cognition. Institute of Electrical and Electronics Engineers Inc.en_US
dc.identifier.doi10.1109/CEC.2015.7257171
dc.identifier.endpage2326en_US
dc.identifier.isbn9781479974924
dc.identifier.scopus2-s2.0-84963610642en_US
dc.identifier.startpage2319en_US
dc.identifier.urihttps://dx.doi.org/10.1109/CEC.2015.7257171
dc.identifier.urihttps://hdl.handle.net/20.500.12415/3073
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY06724
dc.subjectcognitive computingen_US
dc.subjectdesign cognitionen_US
dc.subjectevolutionary computationen_US
dc.subjectFuzzy logicen_US
dc.subjectknowledge modelingen_US
dc.subjectneural treeen_US
dc.titleFuzzy neural tree in evolutionary computation for architectural design cognitionen_US
dc.typeConference Object
dspace.entity.typePublication

Dosyalar

Koleksiyon

Mimarlık ve Tasarım Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu