A two-stage mixed-integer fuzzy programming with interval-valued membership functions approach for flood-diversion planning
Flood disasters have been extremely severe in recent decades, and they account for about one third of all natural catastrophes throughout the world. In this study, a two-stage mixed-integer fuzzy programming with interval-valued membership functions (TMFP-IMF) approach is developed for flood-diversi...
| Publicado en: | Journal of Environmental Management Vol. 117; pp. 208 - 219 |
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| Autores principales: | , |
| Formato: | Artículo |
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Academic Press Inc.
Mar2013
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| 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=85745392&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 85745392 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: Mar2013 vid: 117 pid: 735 pub: Academic Press Inc. artinfo: ui: 85745392 10.1016/j.jenvman.2012.12.037 ppf: 208 ppct: 11 formats: tig: atl: A two-stage mixed-integer fuzzy programming with interval-valued membership functions approach for flood-diversion planning aug: au: Wang, S. Huang, G.H. affil: Faculty of Engineering, University of Regina, 3737 Wascana Parkway, Regina, Saskatchewan S4S 0A2, Canada su: Water diversion Flood control Environmental management Mixed integer linear programming Fuzzy mathematics Distribution (Probability theory) Probability theory Fuzzy sets sug: subj: Water diversion Flood control Environmental management Mixed integer linear programming Fuzzy mathematics Distribution (Probability theory) Probability theory Fuzzy sets keyword: Decision-making Flood diversion Fuzzy set Optimization Probability distribution Uncertainty Decision-making Flood diversion Fuzzy set Optimization Probability distribution Uncertainty ab: Flood disasters have been extremely severe in recent decades, and they account for about one third of all natural catastrophes throughout the world. In this study, a two-stage mixed-integer fuzzy programming with interval-valued membership functions (TMFP-IMF) approach is developed for flood-diversion planning under uncertainty. TMFP-IMF integrates the fuzzy flexible programming, two-stage stochastic programming, and integer programming within a general framework. A concept of interval-valued fuzzy membership function is introduced to address complexities of system uncertainties. TMFP-IMF can not only deal with uncertainties expressed as fuzzy sets and probability distributions, but also incorporate pre-regulated water-diversion policies directly into its optimization process. TMFP-IMF is applied to a hypothetical case study of flood-diversion planning for demonstrating its applicability. Results indicate that reasonable solutions can be generated for binary and continuous variables. A variety of flood-diversion and capacity-expansion schemes can be obtained under four scenarios, which enable decision makers (DMs) to identify the most desired one based on their perceptions and attitudes towards the objective-function value and constraints. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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