FSALT: A Fuzzy-Based System for Assessment of Logical Trust and Its Performance Evaluation

Recently, the human-to-human and human-to-things connections are becoming significantly more complicated and less trustworthy in decision-making for diverse scenarios. As a result, the trust computing is getting interest from many study domains. The Logical Trust is one of the trust concepts. In this paper, we consider three parameters (Belief (Be), Experience (Ep), and Rationality (Ra)) for the implementation of a fuzzy-based system to evaluate the LT. We evaluate by simulation the proposed system. According to the simulation findings, the LT parameter increases when Be, Ep, and Ra are increasing. All LT values are greater than 0.5 when Ep values range from 0.5 to 0.9, Be is 0.9 and for any value of Ra. In this case, the persons or things are trustworthy.