Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/61124
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dc.contributor.authorChen, Puluo
dc.date.accessioned2014-06-05T05:04:22Z
dc.date.available2014-06-05T05:04:22Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/61124
dc.description.abstractAs fresh water resources are limited and population in urban areas is growing rapidly today, urban water supply management is needed in order to meet the increasing water demands as well as to reduce the water wastage. Generally, a water supply system consists of four components, which are water resources, treatments, reservoirs and consuming zones. The related parameters to these components like leakage rate, transfer cost, etc. are usually under uncertainty due to incomprehensive information. To optimize a water supply system, triangular fuzzy chance-constrained programming is applied in this study , and the case of Hamedan City in Iran is selected for domostration. The parameters with uncertainty are expressed as triangular-shaped fuzzy numbers. With an objective of minimizing the system cost and several chance constraints, the whole simulation is conducted at several confidence levels with the help of linear programming software. Results show that triangular fuzzy chance-constrained programming is able to generate reasonable solutions at a higher confidence level.en_US
dc.format.extent44 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleUrban water supply management through fuzzy programmingen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.description.degreeBachelor of Engineering (Environmental Engineering)en_US
dc.contributor.supervisor2Qin Xiaoshengen_US
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Appears in Collections:CEE Student Reports (FYP/IA/PA/PI)
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