C. Temponi et al. / A fuzzy neural architecture for customer satisfaction assessment

dc.contributor.author	Temponi Cecilia
dc.contributor.author	Kuo Ying-Feng
dc.contributor.author	Corley Herbert W
dc.date.accessioned	2017-11-14T16:57:50Z
dc.date.available	2017-11-14T16:57:50Z
dc.date.issued	2001
dc.identifier.uri	http://hdl.handle.net/123456789/3700
dc.description.abstract	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.
dc.format	application/pdf
dc.title	C. Temponi et al. / A fuzzy neural architecture for customer satisfaction assessment
dc.type	journal-article
dc.source.volume	7
dc.source.journal	Journal of Intelligent and Fuzzy Systems