Multi-level fuzzy comprehensive evaluations for rapid manufacturing systems

Recently, the performance evaluations of raid manufacturing systems (RMSs) has become more and more crucial, because it is the foundation for investment and implementation of RMSs. However, due to various complex and vague factors involved in RMSs, it is hard to evaluate exactly. To measure a RMS roundly and objectively, a multi-level fuzzy comprehensive evaluation approach based on analytic hierarchy process (AHP) is proposed in this paper. Firstly, a hierarchical and comprehensive evaluation index system for RMSs is extracted. Then, based on the structure, a multi-level fuzzy comprehensive evaluation model is developed, in which AHP is incorporated to determine factor weights. Finally, an example is used to illustrate the proposed approach, and results indicate that the proposed approach is able to evaluation performances of RMSs effectively and reasonably.