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Cognitive Fuzzy Modeling for Enhanced Risk Assessment in a Health Care Institution
March/April 2000 (vol. 15 no. 2)
pp. 69-75
Human observation and intuition form the basis of any risk assessment. These features, together with the unique nature of the health care environment, necessitate a different approach to the assessment of risks in a health care institution, as opposed to current approaches and methodologies. Fuzzy logic has shown great potential in dealing with vague information and taking into account human common sense and intuition. The authors propose a cognitive fuzzy-modeling approach to risk assessment in health care institutions. They demonstrated that their approach is especially well-suited to the health care environment, where most of the consequences of risks are difficult to quantify.
Index Terms:
Risk assessment, fuzzy cognitive map, fuzzy rule-based approach, cognitive fuzzy tools
Citation:
Elmé Smith, Jan Eloff, "Cognitive Fuzzy Modeling for Enhanced Risk Assessment in a Health Care Institution," IEEE Intelligent Systems, vol. 15, no. 2, pp. 69-75, March-April 2000, doi:10.1109/5254.850830
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