Data may not have strong rules-based relationships. Neural networks Good for data with non-linear relationships. Can work well if data is missing some values. Inability to explain the found relationships, although some leading-edge tools are attempting to create explanations of the decisions. Requires non-numeric data to be converted to numeric data values.
Fuzzy logic Can rank results based on closeness to the desired result.
Small number of applications and vendors. May be overly sensitive to closely matching records. Good for forecasting problems involving data with non-linear relationships. Can work well if data is missing some values. Inability to explain the found relationships, although some leading-edge tools are attempting to create explanations of the decisions.