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Title: On Subjective Trust Management, Journal of Telecommunications and Information Technology, 2008, nr 4

Autor:

Majdan, Michał

Data wydania:

2008, nr 4

Typ zasobu:

artykuł

Opis:

Trust and reputation management is gaining nowadays more attention then ever as online commodity exchange and other open virtual societies became a widespread reality. Most widely used computational models use reputation metrics as global property assigned to each party. More sophisticated models try to use reputation as subjective property. While introducing subjective reputation there arise a need to model preferences of agents. In this paper we propose to use weighted ordered weighted average (WOWA) operator to support the decision maker in assessing available evidence about other’s party behavior. The WOWA aggregation is defined by two weighting vectors: the preferential weights assigned to the ordered quantities and the importance weights assigned to several attributes. It allows one to express both the preference regarding sources of information by the corresponding importance weights and the compensation between attribute values aggregated by the preferential weights.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:218

DOI:

10.26636/jtit.2008.4.894

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

decision support management concepts multicriteria reputation model

Object collections:

Last modified:

Aug 27, 2024

In our library since:

Jan 6, 2010

Number of object content hits:

372

All available object's versions:

https://ribes-54.man.poznan.pl/publication/251

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Edition name Date
Majdan, Michał, On Subjective Trust Management, Journal of Telecommunications and Information Technology, 2008, nr 4 Aug 27, 2024

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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