Electronic FFDs could have more success than existing systems in tackling inherently fuzzy problems that have appeared intractable because they are computationally intensive and have restrictions in size, resource, or real-time requirements.  Possible uses include classification, control, decision making, and pattern recognition.  FFDs could have applications in robotics, smart sensors, expert systems, nanotechnology, and simulations of complex systems (such as economies and climates).  FFDs would also be appropriate in speech recognition, comprehension, and translation. 

Understanding how synaptic connections are organized to process information could have far-reaching implications in neural science, medicine, and biotechnology.  Most of the effects in these areas may not be possible to predict at this time.