State Evaluation of Long-term Storage Product Based on Cloud Model and TFN-AHP

State is an important characteristic of a product. The strategy of condition based maintenance mainly depends on accurate evaluation of state. Long-term storage products, such as missiles, are usually tested with less number of times. That results in few information for constructing a state evaluation model. State of a product is the comprehensive reflection of multi-components status level. In this paper, the triangular fuzzy number (TFN) was utilized in analytic hierarchy process (AHP) to overcome the defects of subjective fuzziness in weight distribution. And the cloud model was introduced to describe qualitative information for state evaluation. A numerical example with a product in storage is introduced to illustrate engineering applicability of the method proposed in this paper.