Collaborative human-machine decision support systems with digital channels
The decision-making problem for the case of human-machine analysis of input data is considered. It was noted that the use of human-machine decision support systems allows to reduce time and money costs. A multi-channel automated decision-making system is considered, which can generate real-time decisions based on signals coming to it from different channels. All channels are numeric. Channels can be both software tools of artificial intelligence and competent experts who give conclusions on the researched issue.