Hybrid Expert System for Collaborative Decision-Making in Transportation Services of Healthcare Needs

The authors presented a Hybrid Expert System for Collaborative Decision-Making (CDM) in transportation services of healthcare needs. The analysis of the process of delivering medical supplies to remote areas, in a smart city using UAV, groups of UAVs as a decision-making process of several participants presented. Analysis multi-DM using network planning models for all participants of a process and integration of models DM under Risk, and Uncertainty showed. Optimization with minimal cost and maximum safety example delivering medical supplies for the smart city using UAVs presented. This is achieved by fullness, precision, and real-analysis of existing data. Planning of solutions provides using deterministic, stochastic, and non-stochastic decision-making models; methods of dynamic programming and reflexion models.