Computational trust mechanisms aim to produce a trust rating from both direct and indirect information about agents behaviour. Jøsang's Subjective Logic has been widely adopted as the core of such systems via its fusion and discount operators. Recently we proposed an operator for discounting opinions based on geometrical properties, and, continuing this line of investigation, this paper describes a new geometry based fusion operator. We evaluate this fusion operator together with our geometric discount operator in the context of a trust system, and show that our operators outperform those originally described by Jøsang. A core advantage of our work is that these operators can be used without modifying the remainder of the trust and reputation system. © 2013 Springer-Verlag.
An empirical evaluation of geometric subjective logic operators
Cerutti F.;
2013-01-01
Abstract
Computational trust mechanisms aim to produce a trust rating from both direct and indirect information about agents behaviour. Jøsang's Subjective Logic has been widely adopted as the core of such systems via its fusion and discount operators. Recently we proposed an operator for discounting opinions based on geometrical properties, and, continuing this line of investigation, this paper describes a new geometry based fusion operator. We evaluate this fusion operator together with our geometric discount operator in the context of a trust system, and show that our operators outperform those originally described by Jøsang. A core advantage of our work is that these operators can be used without modifying the remainder of the trust and reputation system. © 2013 Springer-Verlag.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
