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
2008Type
Journal Article
Metadata
Show full item recordCitation
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
ISSN
Collection
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.
Related items
Showing items related by title, author, creator and subject.
-
Musee, N.; Lorenzen, L.; Aldrich, Chris (2006)In this paper, a fuzzy waste index for evaluating the hazard posed by composite wastes generated from industrial processes is proposed. Within this methodology, a fuzzy index as a measure of hazardousness of a given ...
-
Musee, N.; Lorenzen, L.; Aldrich, Chris (2008)In the literature on hazardous waste classification, the criteria used are mostly based on physical properties, such as quantity (weight), form (solids, liquid, aqueous or gaseous), the type of processes generating them, ...
-
Boral, Soumava ; Howard, Ian ; Chaturvedi, S.K.; McKee, Kristoffer ; Naikan, V.N.A. (2020)© 2019 Institution of Chemical Engineers Modern manufacturing organizations have started giving paramount importance to sustainable aspects of the manufacturing processes, realizingnot only that the natural resources are ...