Application of Probability Rough set on Product Quality Decision

This paper examines the components of quality cost in the context of rubber air spring plant. Based on the analyzing of variables that impact quality in the plant, a decision table of rough set is organized. Then rough approximation evaluative measures based on probabilistic version of rough set theory is utilized to set up a Bayes's equation that supports the manager to reach the best performance in quality decision.