Healthcare system reliability analysis addressing uncertain and ambiguous data

Healthcare systems in point are complex, inhomogeneous, highly variable, and require special mathematical representations. The structure function is offered for the mathematical representation of healthcare systems and its reliability evaluation is considered in this paper. Methods of system reliability evaluation based on the structure function are well established but deterministic. This restricts its use for uncertain or incomplete data. The structure function is constructed by a new method that is based on application of Fuzzy Decision Trees (FDTs), where input and output attributes are interpreted as component states and values of the structure function, respectively. For illustration, we consider the system of laparoscopic abdominal surgery. The analysis of these system components is implemented based on the structure function constructed with the FDT use. This structure function is formed based on incomplete data according to the new method. Laparoscopic surgery allows us to conclude that FDT-based reliability analysis is applicable for incomplete data and improved predictions in healthcare systems.