Cognitive fuzzy modeling for enhanced risk assessment in a Health Care Institution

dc.contributor.author	Smith, Elme
dc.contributor.author	Eloff, J.H.P.
dc.date.accessioned	2011-01-19T13:14:55Z
dc.date.available	2011-01-19T13:14:55Z
dc.date.issued	2000-04
dc.identifier.citation	Smith, E & Eloff, J. 2000, 'Cognitive fuzzy modeling for enhanced risk assessment in a Health Care Institution', IEEE Computer Society, vol. 15, no. 2, pp. 69 - 75.	en
dc.identifier.issn	1094-7167
dc.identifier.uri	http://hdl.handle.net/10500/3940
dc.description	Journal article	en
dc.description.abstract	Human observation and intuition form the basis of any risk assessment. The authors propose a cognitive fuzzy modeling approach to risk assessment in health care institutions, building on fuzzy logic's great potential in dealing with vague information and human common sense and intuition	en
dc.language.iso	en	en
dc.publisher	Intelligent Systems and their Applications, IEEE	en
dc.subject	Cognitive fuzzy modeling	en
dc.subject	Risk assessment	en
dc.subject	Health care institution	en
dc.title	Cognitive fuzzy modeling for enhanced risk assessment in a Health Care Institution	en
dc.type	Article	en