A fuzzy and probabilistic logic based representational model of Certain Trust model

At the present world of IT, ensuring Trust is a very important topic; especially for service oriented systems. In the present trust models, particularly in Certain Trust model the main parameters of the representational model portion are uncertainty and average rating which are based on propositional logic where the possible values for them are considered between 0 and 1. In this paper we have proposed a new representational model for Certain Trust model based on probabilistic logic and fuzzy logic related with propositional logic to ensure trustworthiness of systems like cloud computing, internet, website, e-commerce, etc. We have proposed two new parameters - trust T and behavioral probability P, which will help the users and the developers of the service oriented systems to understand its´ present condition easily. Fuzzy Associative Memory(FAM) are used for representing rule matrices for different inference rules and linguistic variables are also designed for this new representational model.