A fuzzy neural architecture for customer satisfaction assessment
Cecilia Temponi, Ying‐Feng Kuo, Herbert W. Corley · Journal of Intelligent & Fuzzy Systems · 1999
We present a fuzzy neural network for assessing customer satisfaction. It is a feedforward multilayer network with a fuzzy controller and utilizes back-propagation learning. The controller will measure customer satisfaction levels, thereby assessing current strategies and providing a means for evaluating possible changes. Preliminary results are promising and have provided new paths for future research.