fidelity measures

Fidelity measures evaluate how accurately a system, process, or model replicates the desired or actual outcome. Think of it as a quality check—high fidelity means the result closely matches the original intent or real-world behavior, while low fidelity indicates notable differences or errors. For example, in simulations, high fidelity models precisely mimic real conditions, aiding better decision-making. In communications, fidelity reflects the clarity and correctness of the transmitted message. Overall, fidelity measures help assess the effectiveness and reliability of systems or models in representing or reproducing real-world phenomena.