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New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support
N Musee1, C Aldrich, L Lorenzen
1Centre for Process Engineering, University of Stellenbosch, Stellenbosch, Private Bag X1, Matieland 7602, South Africa. museen2001@yahoo.com
Abstract:
In part 1 of this paper, factors that influence hazards and eco/toxicity in composite hazardous wastes were described. In part 2, a computer-aided decision support tool based on fuzzy set theory is proposed to support the classification of composite wastes. Given the chemical properties, the nature of microorganisms that may be present, the behaviour of chemicals in humans and ecosystems, and the quantities of wastes, the computer-aided tool automatically classifies the waste as benign, partially hazardous, hazardous or highly hazardous. The functionality of the computer-aided decision tool is demonstrated through nine worked examples and the results are discussed in detail.
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