New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system
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 o...
| Main Authors: | , , |
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| Format: | Journal Article |
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Elsevier BV
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/14331 |
| _version_ | 1848748595410370560 |
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| author | Musee, N. Aldrich, Chris Lorenzen, L. |
| author_facet | Musee, N. Aldrich, Chris Lorenzen, L. |
| author_sort | Musee, N. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:07:32Z |
| format | Journal Article |
| id | curtin-20.500.11937-14331 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:07:32Z |
| publishDate | 2008 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-143312017-09-13T14:04:53Z New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system Musee, N. Aldrich, Chris Lorenzen, L. Uncertainty Fuzzy sets Waste classification Composite hazardous wastes Fuzzy logic Aggregation 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. 2008 Journal Article http://hdl.handle.net/20.500.11937/14331 10.1016/j.jhazmat.2007.12.104 Elsevier BV restricted |
| spellingShingle | Uncertainty Fuzzy sets Waste classification Composite hazardous wastes Fuzzy logic Aggregation Musee, N. Aldrich, Chris Lorenzen, L. New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system |
| title | New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system |
| title_full | New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system |
| title_fullStr | New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system |
| title_full_unstemmed | New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system |
| title_short | New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system |
| title_sort | new methodology for hazardous waste classification using fuzzy set theory part ii. intelligent decision support system |
| topic | Uncertainty Fuzzy sets Waste classification Composite hazardous wastes Fuzzy logic Aggregation |
| url | http://hdl.handle.net/20.500.11937/14331 |