| In the field of design there are many subjective factors and complicated calculations, rough set is a good tool for dealing these problems, it can simplify the assessment process by its unique attribute reduction and attribute importance, and dig out important information from the disordered data, in short, it is help for improving the accuracy of the result. The main contents are as follows:1. CAIM algorithm only considers the distribution of the maximum number of classes in the interval, the paper propose optimization method for the shortcomings, and set the appropriate stop condition to avoid excessive discrete at the same time. At last demonstrate the effectiveness of the improved algorithm.2. The method of attribute reduction and weight determination are applied to index reduction and empowerment. In rough set there are different methods of attribute reduction and weight determination for information systems and decision-making systems, the paper deal with the historical-experience data sets or the new data sets separately according to their characteristics. To avoid one-sidedness caused by merely data sets, we determine the final weight combined with subject experience of expert.3. The paper also comprehensive study the function of using, aesthetic and symbolic, build a set of evaluation based on the specific design details, try to change the status of studies lack of packaging index. The above method are applied to the whole process of packaging design assessment, describe the function of packing assessment system and data transfer, design the framework of the assessment system,and develop a corresponding evaluation system,it has a strong guiding significance for the further implementation. |
