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dc.contributor.authorMusee, N.
dc.contributor.authorAldrich, Chris
dc.contributor.authorLorenzen, L.
dc.date.accessioned2017-01-30T11:42:58Z
dc.date.available2017-01-30T11:42:58Z
dc.date.created2015-03-03T03:51:01Z
dc.date.issued2008
dc.identifier.citationMusee, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/14331
dc.identifier.doi10.1016/j.jhazmat.2007.12.104
dc.description.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.

dc.publisherElsevier BV
dc.subjectUncertainty
dc.subjectFuzzy sets
dc.subjectWaste classification
dc.subjectComposite hazardous wastes
dc.subjectFuzzy logic
dc.subjectAggregation
dc.titleNew methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system
dc.typeJournal Article
dcterms.source.volume157
dcterms.source.startPage94
dcterms.source.endPage105
dcterms.source.issn03043894
dcterms.source.titleJournal of Hazardous Materials
curtin.accessStatusFulltext not available


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