The performance of indirect trust computation models (based on recommendations) can be easily compromised due to the subjective and social-based prejudice of the provided recommendations. Eradicating the influence of such recommendation remains an important and challenging issue in indirect trust computation models. A fuzzy logic based technique is proposed for indirect trust computation that measures the credibility of recommendation (rather than credibility of recommender)to determine the influence of each honest recommendation.
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