Neuro-fuzzy modelling in support of knowledge management in social regulation of access to cigarettes by minors

In this paper a neuro-fuzzy modelling is proposed to support knowledge management in social regulation. The neuro-fuzzy learning process is based on tacit knowledge in order to highlight what specific steps local government should undertake to reach the outcome with an increase in compliance. An example is given to demonstrate the validity of the approach. Empirical results show the dependability of the proposed techniques. (C) 2003 Elsevier B.V. All rights reserved.