Abstract
Introduction: Knowledge management, based on information transfer between experts and analysts, is crucial for the validity and usability of data envelopment analysis (DEA).
Highlights
Knowledge management, based on information transfer between experts and analysts, is crucial for the validity and usability of data envelopment analysis (DEA)
A procedure derived from knowledge discovery from data (KDD) is used to select, interpret and weigh DEA inputs and outputs
Based on KDD results, an expert-driven Monte-Carlo DEA model has been designed to assess the technical efficiency of SHA in Andalusia
Summary
Knowledge management, based on information transfer between experts and analysts, is crucial for the validity and usability of data envelopment analysis (DEA). June 2009 – ISSN 1568-4156 – http://www.ijic.org/ Knowledge discovery from data and Monte-Carlo DEA to evaluate technical efficiency of mental health care in small health areas
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