Abstract:

To execute credibility evaluation of modeling and simulation applications objectively and cost-effectively, a method of fuzzy comprehensive evaluation of simulation credibility based on fuzzy clustering analysis and rough sets theory is proposed. The fuzzy clustering analysis (FCA) based on fuzzy transitive closure method is analyzed and the attribute significance in rough sets theory is introduced briefly. Furthermore, a fuzzy comprehensive evaluation model of simulation credibility based on FCA and rough sets theory is established. With the confirmation of multi-attribute weight allocation by FCA and rough sets theory, simulation credibility evaluation is performed based on fuzzy comprehensive evaluation. Finally, the method is  applied  to credibility  evaluation of a flight visual simulation system. The evaluation result shows the reasonability and validity of the proposed approach.