One of the attractions of fuzzy logic is its utility in solving many
real engineering problems. As many have realised, the major obstacles in
building a real intelligent machine involve dealing with random
disturbances, processing large amounts of imprecise data, interacting
with a dynamically changing environment, and coping with uncertainty.
Neural-fuzzy techniques help one to solve many of these problems.
Fuzzy Logic and Intelligent Systems reflects the most recent
developments in neural networks and fuzzy logic, and their application
in intelligent systems. In addition, the balance between theoretical
work and applications makes the book suitable for both researchers and
engineers, as well as for graduate students.