Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review

Fuzzy logic offers interpretability and flexibility well suited to complex health care problems, yet its application to explicit causal inference remains fragmented. Greater methodological transparency, systematic benchmarking, and integration with formal causal designs-such as counterfactual and target trial frameworks-are required to establish fuzzy logic as a robust paradigm for causal inference in health care.