Back to Search

FUSE-BEE: Fusion of subjective opinions through behavior estimation

Title	FUSE-BEE: Fusion of subjective opinions through behavior estimation
Author	Şensoy, Murat, Kaplan, L., Ayci, Gönül, de Mel, G.
Publication Date:	2015
Publication Place	- IEEE
Subject	Information fusion, Subjective logic, Dirichlet distributions, Behavior estimation
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-098244386-6
Record ID	406498fd-76eb-465f-85d3-73a2d5288398
Library Location	Computer Science
Date	2015
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	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.

View in source Özyeğin University Özyeğin University - Historical works, archives, and periodicals search engine

Özyeğin University

FUSE-BEE: Fusion of subjective opinions through behavior estimation

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

Publication Date 2015

Publication Place - IEEE

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

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-098244386-6

Record ID 406498fd-76eb-465f-85d3-73a2d5288398

Library Location Computer Science

Date 2015

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

Sample Text 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.