TOPSIS is the abbreviation of “Technique for Order Preference by Similarity to Ideal Solution”. Although this method can evaluate the best solution between different schemes, the assessment data is based on the analysis of the factual data of the current situation of each scheme, and it is impossible to predict the optimal scheme that may be generated after the comparison between different schemes in the future. The main contribution of this study is to effectively predict the future value of each evaluation indicator project by combining TOPSIS with GM (1,1) prediction model. The predicted future value of each indicator project is provided to the TOPSIS assessment method for future operational performance. To overcome the limits of TOPSIS method that cannot predict future optimal solutions. Finally, based on the empirical results, the differences between the future operating performance of the listed companies and the current operating performance are compared, and the operating policy recommendations more valuable than the current operating performance are proposed. This paper applied TOPSIS and GM(1,1) models to evaluate the future business performance of listed companies in Taiwan’s construction industry. Based on the evaluation and analysis of the 2020 forecast and the current status of 2019, it is found that belonging to the top five operating performance of the current and forecasting years is only two construction industries. Additionally, there are 9 construction industries with improved operational performance rankings, 7 construction companies that have regressed rankings and 2 construction industries with the same ranking. By comparing the rankings of the two years (the current year and the next year), the comparison results will show more future valuable differences than that of the single year in the operating performance of the listed companies in Taiwan. This shows that the operating performance ranking of listed companies in Taiwan’s construction industry will change dramatically due to environmental and peer competition. The construction industry needs to regularly review the relative output results of peer-to-peer comparisons, and respond to them by reviewing and adjusting their own operating policies in a timely manner.