A Decision Support System for Trust Formalization - Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications - page 58

Figure 6. Case study4: Rules aggregations and outputs

Table 3.The trust factor of the case studies

Outputs Case Study Case Study Case Study Case Study

Existence_trust_index High High Low High

Affiliation_trust_index Low High Average Low

Policy_trust_index High Average Average High

Fulfilment_trust_index Low Average Average High

Trust_factor Average (0.62) High (0.765) Average(0.5) Average(0.58)

The rules used for the aggregation of the final results for the case studies 1 and 2 and the outputs of
the decision maker module are summarised in Table 3.

co MParison of the fuzzy Model with other Models

Meziane and Kasiran (2005 & 2008) developed two models to evaluate EC trust using the same model
shown in Fig 1, the linear model and the parameterised model. Both models were based on the presence
or not of the variables on the EC website. The linear model is used for new or inexperienced users. The