The Study of Multi-Granular Fuzzy Comprehensive Evaluation Model

It is a difficult problem to make a perfect comprehensive evaluation on the complex systems with subjectivity and fuzziness. To attain an authentic comprehensive evaluation result in reducing evaluation difficulties, a multi-granular fuzzy comprehensive evaluation model is proposed, which is a top-down model for the multi-layer evaluation index system and represents the process of reaching goal at different spaces of the information granularity basing on the theory of hyper topology space. At first, a rough evaluation plan is generated to reach the final goal. Then, the plan is decomposed to many sub-goals which are submitted to the next lower layer of the index hierarchy and the more refined evaluation plans to reach these sub-goals are determined. As the evaluation process moves from high layer to low layer, the information granularity to the comprehensive evaluation becomes finer. This process of successive refinement continues until the final evaluation result is obtained. If only possible, the evaluation work will be finished depending on the part of index hierarchy, and it is not necessary to do the calculations for all the indexes. Finally, the practical applications indicate the effectiveness of the proposed model.