A fuzzy based credibility evaluation of recommended trust in pervasive computing environment

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.