Abstract: The VMD method is a method of vague pattern recognition. The detailed steps of this method are that: (1). Establish a scheme set. Need establish reserve scheme sets. Draw an optimal scheme set theoretically (2). Turn the original data turn into the vague data. Need that turn a monodrama data into a vague data and turn a language value data into a vague data and (3). Vague multiattribute decision. Fix the weight of the every index. Calculate weighing similarity measures between vague sets of the reserve scheme and vague set of an optimal scheme in theory. Vague multiattribute decision: By a maximal value of the weighing similarity measures a correspondence scheme is optimal scheme. Given a transforming formula from the monodromy value data to vague data. Presented a weighing similarity measure formula between vague sets. The application example of this method shows that this method and these formulas are useful.