| FSILP: Fuzzy-stochastic-interval linear programming for supporting municipal solid waste management. | |
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MedLine Citation:
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PMID: 21232844 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Although many studies on municipal solid waste management (MSW management) were conducted under uncertain conditions of fuzzy, stochastic, and interval coexistence, the solution to the conventional linear programming problems of integrating fuzzy method with the other two was inefficient. In this study, a fuzzy-stochastic-interval linear programming (FSILP) method is developed by integrating Nguyen's method with conventional linear programming for supporting municipal solid waste management. The Nguyen's method was used to convert the fuzzy and fuzzy-stochastic linear programming problems into the conventional linear programs, by measuring the attainment values of fuzzy numbers and/or fuzzy random variables, as well as superiority and inferiority between triangular fuzzy numbers/triangular fuzzy-stochastic variables. The developed method can effectively tackle uncertainties described in terms of probability density functions, fuzzy membership functions, and discrete intervals. Moreover, the method can also improve upon the conventional interval fuzzy programming and two-stage stochastic programming approaches, with advantageous capabilities that are easily achieved with fewer constraints and significantly reduces consumption time. The developed model was applied to a case study of municipal solid waste management system in a city. The results indicated that reasonable solutions had been generated. The solution can help quantify the relationship between the change of system cost and the uncertainties, which could support further analysis of tradeoffs between the waste management cost and the system failure risk. |
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Authors:
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Pu Li; Bing Chen |
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Publication Detail:
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Type: Journal Article Date: 2011-01-12 |
Journal Detail:
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Title: Journal of environmental management Volume: 92 ISSN: 1095-8630 ISO Abbreviation: J. Environ. Manage. Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-02-01 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0401664 Medline TA: J Environ Manage Country: England |
Other Details:
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Languages: eng Pagination: 1198-209 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ltd. All rights reserved. |
Affiliation:
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Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL A1B 3X5, Canada. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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