A method of reduction of decision rulers is proposed based on rough set and fuzzy set. The continuous attributes in the decision table are justified using the proper fuzzy membership functions and division method. The fuzzy similar matrix of the attributes is constructed by means of the fuzzy degree of nearness and the indiscernibility relation in classical rough set is generalized to the fuzzy similarity relation. And a decision rule reduction algorithm is presented based on fuzzy-rough set model.