Abstract: This paper presents a new decision rules acquisition algorithm for personalized knowledge based on rough set and rule presentation.The correctness of the algorithm is proved in theory，and the algorithm of extracting personalized knowledge is described.The main parts of the algorithm are how to compose rules，and how to calculate certainty factor，coverage factor and the strength of decision rules.At last，the efficiency and practicability of the algorithm is illustrated by one example.