FSILP: Fuzzy-stochastic-interval linear programming for supporting municipal solid waste management
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 st...
| Publicado en: | Journal of Environmental Management Vol. 92; no. 4; pp. 1198 - 1210 |
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| Autores principales: | , |
| Formato: | Case Study |
| Publicado: |
Academic Press Inc.
Apr2011
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=57689992&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 57689992 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Apr2011 vid: 92 iid: 4 pid: 735 pub: Academic Press Inc. artinfo: ui: 57689992 10.1016/j.jenvman.2010.12.013 ppf: 1198 ppct: 12 formats: tig: atl: FSILP: Fuzzy-stochastic-interval linear programming for supporting municipal solid waste management aug: au: Li, Pu Chen, Bing affil: Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada Research Academy of Energy and Environmental Studies, North China Electric Power University, Beijing 102206, China su: Waste management Solid waste Industrial waste & the environment Fuzzy mathematics Linear programming Stochastic approximation Mathematical models sug: subj: Waste management Hazardous Waste Treatment and Disposal Administration of Air and Water Resource and Solid Waste Management Programs Waste treatment and disposal Solid Waste Landfill Waste collection Other Waste Collection Solid waste Industrial waste & the environment Fuzzy mathematics Linear programming Stochastic approximation Mathematical models keyword: Fuzzy Interval Municipal solid waste Optimization Stochastic Uncertainty Fuzzy Interval Municipal solid waste Optimization Stochastic Uncertainty ab: 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. pubtype: Academic Journal doctype: Case Study src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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