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dc.contributor.authorMusee, N.
dc.contributor.authorLorenzen, L.
dc.contributor.authorAldrich, Chris
dc.date.accessioned2017-01-30T11:36:19Z
dc.date.available2017-01-30T11:36:19Z
dc.date.created2015-09-29T02:03:57Z
dc.date.issued2006
dc.identifier.citationMusee, N. and Lorenzen, L. and Aldrich, C. 2006. Decision Support for Wast Minimization in Wine-making Processes. Environmental Progress and Sustainable Energy. 25: pp. 56-63.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/13319
dc.description.abstract

During the production of wine from grapes, large quantities of waste effluent are generated from various units of operation and processes. However, because of the ill-defined nature of waste generation during vinification, waste minimization is usually practiced on an ad hoc basis, which may be subject to large process inefficiencies. An integrated intelligent decision support system dealing with utility waste from vinification porcesses, developed within a fuzzy logic framework, is reported in this paper. The knowledge incorporated into the system is mainly sourced from plant experts and is contained in a weight structure associated with a questionnaire to be completed by the experts. The system is capable of analyzing waste-generating mechanisms, evaluating waste minimization practices, and providing decision support toward improved waste management.

dc.publisherJohn Wiley & Sons, Inc.
dc.subjectknowledge-based system
dc.subjectfuzzy logic
dc.subjectwaste minimization
dc.subjectwine industry
dc.titleDecision Support for Wast Minimization in Wine-making Processes
dc.typeJournal Article
dcterms.source.volume25
dcterms.source.startPage56
dcterms.source.endPage63
dcterms.source.issn1944-7442
dcterms.source.titleEnvironmental Progress and Sustainable Energy
curtin.accessStatusFulltext not available


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