TRIBE: Trust revision for information based on evidence

Name: TRIBE: Trust revision for information based on evidence
Author: Şensoy, Murat, de Mel, G., Kaplan, L., Pham, T., Norman, T. J.

İsim	TRIBE: Trust revision for information based on evidence
Yazar	Şensoy, Murat, de Mel, G., Kaplan, L., Pham, T., Norman, T. J.
Basım Tarihi:	2013
Basım Yeri	- IEEE
Konu	Information fusion, Trust, Constraint optimisation, Subjective logic, Dempster-shafer theory of evidence
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-605-86311-1-3
Kayıt Numarası	5236ac67-d463-404e-ab91-596c63bb4ceb
Lokasyon	Computer Science
Tarih	2013
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is partially due to the fact that some of these sources may be erroneous or malicious. Therefore, it is critical to asses the trust in information before performing fusion. To estimate trust in information, existing approaches use trustworthiness of its source as a proxy. We argue that conflicts between information may also serve as evidence to reduce trust in information. In this paper, we use subjective opinions to represent information from diverse sources. We propose to exploit conflicts between opinions to revise their trustworthiness. For this purpose, we formalise trust revision as a constraint optimisation problem. Through extensive empirical studies, we show that our approach significantly outperform existing ones in the face of malicious information sources.

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TRIBE: Trust revision for information based on evidence

Yazar Şensoy, Murat, de Mel, G., Kaplan, L., Pham, T., Norman, T. J.

Basım Tarihi 2013

Basım Yeri - IEEE

Konu Information fusion, Trust, Constraint optimisation, Subjective logic, Dempster-shafer theory of evidence

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-605-86311-1-3

Kayıt Numarası 5236ac67-d463-404e-ab91-596c63bb4ceb

Lokasyon Computer Science

Tarih 2013

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

Örnek Metin In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is partially due to the fact that some of these sources may be erroneous or malicious. Therefore, it is critical to asses the trust in information before performing fusion. To estimate trust in information, existing approaches use trustworthiness of its source as a proxy. We argue that conflicts between information may also serve as evidence to reduce trust in information. In this paper, we use subjective opinions to represent information from diverse sources. We propose to exploit conflicts between opinions to revise their trustworthiness. For this purpose, we formalise trust revision as a constraint optimisation problem. Through extensive empirical studies, we show that our approach significantly outperform existing ones in the face of malicious information sources.