Research on an Innovative Decision Algorithm Based on EWM

With the iteration of decision algorithm, various decision problems emerge in an endless stream. This paper aims to propose a new decision algorithm to reduce the impact of decision problems on practice. Firstly, six factors are constructed in this paper, on which a decision algorithm based on entropy value is established. Entropy weight method (EWM) is used to optimize the decision problem. Forest decision problem is taken as the object of this study. The research results show that the new decision algorithm constructed in this paper can effectively solve the decision problem, and reduce the required decision time, and has the robustness and generalization performance of universities. This study provides a certain methodology for the development of decision algorithms.