A Multi-Dimensional Trust Model and Fuzzy Decision System for E-Commerce

Reputation-based trust models are widely used in E-Commerce applications, and feedback ratings are aggregated to compute sellers reputation trust scores. Based on the observation that buyers often express opinions openly in free text feedback comments, it have proposed Comm Trust, a multi-dimensional trust evaluation model, for computing comprehensive trust profiles for sellers in E-Commerce applications. Different from existing multi-dimensional trust models, here compute dimension trust scores by extracting dimension ratings from feedback comments. Based on the dependency relation parsing technique, it have proposed DR-mining approaches to mine feedback comments for dimension rating profiles. Also when a new product arrives in the E-Commerce application, it doesn’t have any feedback associated with it. Hence it also introduces fuzzy logic into rule definition for preferences of venders and designs a novel agent-based decision system using fuzzy rules and reasoning mechanisms to find the right product from a trustworthy vender according to users preferences.