A fuzzy-based system for assessment of emotional trust: a comparison study of two implemented models

In recent years, the human-to-human and human-to-things relationships have become increasingly complicated and unreliable, which makes difficult the decision in different applications and situations. As a result, trust computing is gaining interest in a number of research fields. The emotional trust is one of the trust concepts. In this paper, we implemented a system called Fuzzy-based System for Assessment of Emotional Trust (FSAET). We implement two models: FSAETM1 and FSAETM2. The FSAETM1 considers three input parameters: Expectation (Ex), Willingness (Wi), Attitude (At) and the output parameter is Emotional Trust (ET). In FSAETM2, we consider Propensity (Pr) as a new parameter. The simulation results show that the FSAETM2 is more complex than FSAETM1 but performs better ET since four parameters are considered.