Fuzzy neural tree in evolutionary computation for architectural design cognition

Ozer Ciftcioglu; Michael S. Bittermann

doi:10.1109/CEC.2015.7257171

Fuzzy neural tree in evolutionary computation for architectural design cognition

Ozer Ciftcioglu
, Michael S. Bittermann

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

A 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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	2319-2326
Sayfa sayısı	8
ISBN (Elektronik)	9781479974924
DOI'lar	https://doi.org/10.1109/CEC.2015.7257171
Yayın durumu	Yayınlandı - 10 Eyl 2015
Harici olarak yayınlandı	Evet
Etkinlik	IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan Süre: 25 May 2015 → 28 May 2015

Yayın serisi

Adı	2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	IEEE Congress on Evolutionary Computation, CEC 2015
Ülke/Bölge	Japan
Şehir	Sendai
Periyot	25/05/15 → 28/05/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Belgeye Erişim

10.1109/CEC.2015.7257171

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ciftcioglu, O., & Bittermann, M. S. (2015). Fuzzy neural tree in evolutionary computation for architectural design cognition. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 2319-2326). Makale 7257171 (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2015.7257171

@inproceedings{adc783d333f04c28b46a0c4b9969eeb1,

title = "Fuzzy neural tree in evolutionary computation for architectural design cognition",

abstract = "A 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.",

keywords = "cognitive computing, design cognition, evolutionary computation, Fuzzy logic, knowledge modeling, neural tree",

author = "Ozer Ciftcioglu and Bittermann, \{Michael S.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Congress on Evolutionary Computation, CEC 2015 ; Conference date: 25-05-2015 Through 28-05-2015",

year = "2015",

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doi = "10.1109/CEC.2015.7257171",

language = "English",

series = "2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ciftcioglu, O & Bittermann, MS 2015, Fuzzy neural tree in evolutionary computation for architectural design cognition. in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings., 7257171, 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2319-2326, IEEE Congress on Evolutionary Computation, CEC 2015, Sendai, Japan, 25/05/15. https://doi.org/10.1109/CEC.2015.7257171

Fuzzy neural tree in evolutionary computation for architectural design cognition. / Ciftcioglu, Ozer; Bittermann, Michael S.
2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2319-2326 7257171 (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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AU - Bittermann, Michael S.

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AB - A 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.

KW - cognitive computing

KW - design cognition

KW - evolutionary computation

KW - Fuzzy logic

KW - knowledge modeling

KW - neural tree

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M3 - Conference contribution

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SP - 2319

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BT - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

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Ciftcioglu O, Bittermann MS. Fuzzy neural tree in evolutionary computation for architectural design cognition. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2319-2326. 7257171. (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings). doi: 10.1109/CEC.2015.7257171

Fuzzy neural tree in evolutionary computation for architectural design cognition

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