Fuzzy collective intelligence for performance measurement in energy systems

Cengiz Kahraman; Sezi Çevik Onar; Basar Oztaysi

doi:10.1007/978-3-319-75690-5_22

Fuzzy collective intelligence for performance measurement in energy systems

Cengiz Kahraman^*, Sezi Çevik Onar, Basar Oztaysi

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

1 Atıf (Scopus)

Özet

Collective intelligence (CI) means that a group of people or animals can solve problems efficiently and offer greater insight and a better answer than any individual could provide. Fuzzy sets have been integrated with collective intelligence techniques in order to allow uncertain, vague imprecise and incomplete information to be incorporated to the CI models. The fuzzy CI techniques have been rarely used in the solution of energy problems even they still present new research opportunities to researchers. This chapter gives the results of the literature review on fuzzy CI research for energy systems.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Studies in Systems, Decision and Control
Yayınlayan	Springer International Publishing
Sayfalar	497-517
Sayfa sayısı	21
DOI'lar	https://doi.org/10.1007/978-3-319-75690-5_22
Yayın durumu	Yayınlandı - 2018

Yayın serisi

Adı	Studies in Systems, Decision and Control
Hacim	149
ISSN (Basılı)	2198-4182
ISSN (Elektronik)	2198-4190

Bibliyografik not

Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.

Belgeye Erişim

10.1007/978-3-319-75690-5_22

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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keywords = "Collective intelligence, Energy systems, Fuzzy sets, Particle swarm optimization, Performance",

author = "Cengiz Kahraman and {{\c C}evik Onar}, Sezi and Basar Oztaysi",

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AU - Çevik Onar, Sezi

AU - Oztaysi, Basar

PY - 2018

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N2 - Collective intelligence (CI) means that a group of people or animals can solve problems efficiently and offer greater insight and a better answer than any individual could provide. Fuzzy sets have been integrated with collective intelligence techniques in order to allow uncertain, vague imprecise and incomplete information to be incorporated to the CI models. The fuzzy CI techniques have been rarely used in the solution of energy problems even they still present new research opportunities to researchers. This chapter gives the results of the literature review on fuzzy CI research for energy systems.

AB - Collective intelligence (CI) means that a group of people or animals can solve problems efficiently and offer greater insight and a better answer than any individual could provide. Fuzzy sets have been integrated with collective intelligence techniques in order to allow uncertain, vague imprecise and incomplete information to be incorporated to the CI models. The fuzzy CI techniques have been rarely used in the solution of energy problems even they still present new research opportunities to researchers. This chapter gives the results of the literature review on fuzzy CI research for energy systems.

KW - Collective intelligence

KW - Energy systems

KW - Fuzzy sets

KW - Particle swarm optimization

KW - Performance

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U2 - 10.1007/978-3-319-75690-5_22

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M3 - Chapter

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T3 - Studies in Systems, Decision and Control

SP - 497

EP - 517

BT - Studies in Systems, Decision and Control

PB - Springer International Publishing

ER -

Fuzzy collective intelligence for performance measurement in energy systems

Özet

Yayın serisi

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap