Application Of Three Optimal Models In The Evaluation Of Ancient Ceramic Art

At present,the price gap of ancient ceramic art is extremely huge,and there is no standard method to evaluate.In addition,scholars all over the world have not provided a direct and objective evaluation method for the valuation of ancient ceramic art,which restricts the development of the ancient ceramic art market to a certain extent in China.Therefore,this paper uses three different models to evaluate and analyze ancient ceramic art,so as to provide a more objective evaluation method for ancient ceramic art.The first is to use entropy method and entropy method of data transformation to evaluate and analyze ancient ceramic works.Due to the uniqueness of ancient ceramic data samples,it is important to preprocess the ancient ceramic samples before using the entropy method for corresponding evaluation.The general way is the direct average method,but the direct average method will cause data distortion,leading to the poor evaluation results which are obtained by using the entropy method model,and the accuracy is only 1.3%.As a comparison,the accuracy of the result evaluated by entropy method of data transformation is 89.3%,such a significant improve in accuracy.The second method is to use Interval DEA and interval super efficiency to evaluate and analyze ancient ceramic art.Although the text data is processed by Interval DEA,the value of each factor is still fuzzy,not a certain data.Therefore,using interval efficiency to evaluate can better reflect the rationality of pricing.In the other hand,traditional DEA model will make the efficiency value become 1 which cannot be compared,but interval super efficiency model can sort the pricing efficiency evaluation of ceramic art to a certain extent,and finally can better evaluate each decision-making unit.The third is to use GM(1,n)model and the corresponding improved GM(1,n)model to evaluate and analyze ancient ceramic works.The traditional GM(1,n)model will lead to large simulation and prediction error in practical application.To solve the problem,GM(1,n)model with optimized parameters and the generalized GM(1,n)model are created.The improved model is substituted into the ancient ceramic art data samples,and the accuracy of the improved model is obviously improved with a just 0.09% error finally.These three models mainly evaluate and analyze ancient ceramic art from the objective factors which affect the evaluation of ancient ceramic art.It is found that the evaluation accuracy of the improved model is increased.Future researchers can further optimize and improve the model on the basis of this paper,in order to get a higher level of evaluation...