Quality Function Deployment Based on Cloud Model

Classical QFD can not analyze the uncertainty involved thoroughly. To deal with the problem, a new method based on cloud model was presented. The numerical character and certainty degree of the cloud drops were analyzed through the forward cloud generator, backward cloud generator and cloud expected curve. The importance of the customer demand and the engineering measures were described from both the randomness and the fuzziness point of view. Thus, more information was obtained to improve the accuracy of the decision making process. Combined with an example, the method was demonstrated. A favorable anticipative goal is achieved.