Fuzzy logic extends classical binary reasoning by allowing truth values to vary continuously between 0 and 1, thereby modelling uncertainty, imprecision and partial membership in complex systems.

A neuro-fuzzy approach uses sets of sample data to create or modify rules and membership functions; you can mix parameters that you learn in this way from real-world data with rules that you write ...

Innovative design continues to exploit the power of neural and related techniques. Always more popular with Japanese and Pacific Rim consumer-product designers, fuzzy logic did not catch on to the ...