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    New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system

    Access Status
    Fulltext not available
    Authors
    Musee, N.
    Aldrich, Chris
    Lorenzen, L.
    Date
    2008
    Type
    Journal Article
    
    Metadata
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    Citation
    Musee, N. and Aldrich, C. and Lorenzen, L. 2008. New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system. Journal of Hazardous Materials. 157: pp. 94-105.
    Source Title
    Journal of Hazardous Materials
    DOI
    10.1016/j.jhazmat.2007.12.104
    ISSN
    03043894
    URI
    http://hdl.handle.net/20.500.11937/14331
    Collection
    • Curtin Research Publications
    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, thenature of microorganisms that may be present, the behaviour of chemicals in humans and ecosystems, and the quantities of wastes, the computeraided tool automatically classifies the waste as benign, partially hazardous, hazardous or highly hazardous. The functionality of the computer-aideddecision tool is demonstrated through nine worked examples and the results are discussed in detail.

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