A New Model Based on the LINGO Solving for the Data Rectification
Qingxin Zhang, Zhou Shuai-Shuai, Chang Zhou · ICISEM '13 Proceedings of the 2013 International Conference on Information System and Engineering Management · 2013
A new data correction model is presented based on the analysis of classical models. This mode need not identify the significant error before solving. The problem has been solved that the results of the classical solution model is away from the true values when significant error is not completely removed, and the solving steps is reduced to improve the solution accuracy. In this paper, the solution process is given based on the optimization model solver (LINGO), and the feasibility of the model is verified using the industrial data.