The field intersection of machine learning and intelligent decision

Machine learning is an important tool for intelligent decision, the effective combination of the two is the current research hotspot, but fewer scholars have analyzed their development context. This paper provides a comprehensive analysis of the whole context from a scientometric perspective, aiming to help researchers understand the development of the two fields as they collide, and thus create new research results. We retrieved 2,218 documents from the Web of Science (WoS) database from 1990 to 2021 and reveals the research hotspot and research frontiers of the subject in the main path longitudinal comparison of the main path of the four sub-periods, which teases the research direction and its evolution route in the two fields. It is found that the field shows a trend of machine learning algorithms moving from single to multiple directions, and the application areas of intelligent decision are gradually widening.