FUSE-BEE: Fusion of subjective opinions through behavior estimation

Name: FUSE-BEE: Fusion of subjective opinions through behavior estimation
Author: Şensoy, Murat, Kaplan, L., Ayci, Gönül, de Mel, G.

İsim	FUSE-BEE: Fusion of subjective opinions through behavior estimation
Yazar	Şensoy, Murat, Kaplan, L., Ayci, Gönül, de Mel, G.
Basım Tarihi:	2015
Basım Yeri	- IEEE
Konu	Information fusion, Subjective logic, Dirichlet distributions, Behavior estimation
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-098244386-6
Kayıt Numarası	406498fd-76eb-465f-85d3-73a2d5288398
Lokasyon	Computer Science
Tarih	2015
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Information is critical in almost all decision making processes. Therefore, it is important to get the right information at the right time from the right sources. However, information sources may behave differently while providing information - i.e., they may provide unreliable, erroneous, noisy, or misleading information deliberately or unintentionally. Motivated by this observation, in this paper, we propose a statistical information fusion approach based on behavior estimation. Our approach transforms the conveyed information into more useful form by tempering them with the estimated behaviors of sources. Through extensive simulations, we have shown that our approach has a lower computational complexity, and achieves significantly low behavior estimation and fusion errors.

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FUSE-BEE: Fusion of subjective opinions through behavior estimation

Yazar Şensoy, Murat, Kaplan, L., Ayci, Gönül, de Mel, G.

Basım Tarihi 2015

Basım Yeri - IEEE

Konu Information fusion, Subjective logic, Dirichlet distributions, Behavior estimation

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-098244386-6

Kayıt Numarası 406498fd-76eb-465f-85d3-73a2d5288398

Lokasyon Computer Science

Tarih 2015

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Information is critical in almost all decision making processes. Therefore, it is important to get the right information at the right time from the right sources. However, information sources may behave differently while providing information - i.e., they may provide unreliable, erroneous, noisy, or misleading information deliberately or unintentionally. Motivated by this observation, in this paper, we propose a statistical information fusion approach based on behavior estimation. Our approach transforms the conveyed information into more useful form by tempering them with the estimated behaviors of sources. Through extensive simulations, we have shown that our approach has a lower computational complexity, and achieves significantly low behavior estimation and fusion errors.