Title :
Why We Need Fuzzy Models in Bio-Risk Assessment
Author :
Taylor, T. ; Whalen, T.
Author_Institution :
Centers for Disease Control & Prevention, GA, USA
Abstract :
A substantial weakness of the risk-assessment guidelines adopted by four US Government agencies is their failure to properly reflect the inherent statistical and non-statistical uncertainties involved in risk measurement. This paper critically reviews the four-stage guideline developed by the National Research Council (NRC) in 1983 and adopted, de facto, by EPA, FDA, OSHA, and the Consumer Product Safety Commission (CPSC). Examples are given of specific risks where the guidelines are inappropriate. We introduce our concept of the 5th stage of risk assessment. Finally, we present current or potential applications of fuzzy and/or possibilistic tools which could improve the assessments. In addition, we describe how the application of possibility theory could improve the communication of risk in the context of NRCs four stages.
Keywords :
fuzzy set theory; health care; possibility theory; public administration; risk management; US Government agency; bio-risk assessment; fuzzy mathematics; fuzzy model; possibility theory; public health; risk measurement; risk-assessment guideline; Councils; Diseases; Extrapolation; Fuzzy control; Guidelines; Hazards; Information processing; Mathematical model; Occupational safety; Risk management; Fuzzy Math; Possibility; Risk Assessment;
Conference_Titel :
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4244-4575-2
Electronic_ISBN :
978-1-4244-4577-6
DOI :
10.1109/NAFIPS.2009.5156449