Journal
KNOWLEDGE-BASED SYSTEMS
Volume 17, Issue 1, Pages 57-60Publisher
ELSEVIER
DOI: 10.1016/S0950-7051(03)00049-2
Keywords
neuro-fuzzy; knowledge management; social regulation
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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.
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