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Relief supplies allocation and optimization by interval and fuzzy number approaches

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dc.contributor.authorRuan, J.
dc.contributor.authorShi, P.
dc.contributor.authorLim, C.
dc.contributor.authorWang, X.
dc.date.issued2015
dc.description.abstractAbstract not available
dc.description.statementofresponsibilityJunhu Ruan, Peng Shi, Cheng-Chew Lim, Xuping Wang
dc.identifier.citationInformation Sciences, 2015; 303:15-32
dc.identifier.doi10.1016/j.ins.2015.01.002
dc.identifier.issn0020-0255
dc.identifier.issn1872-6291
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.orcidLim, C. [0000-0002-2463-9760]
dc.identifier.urihttp://hdl.handle.net/2440/91692
dc.language.isoen
dc.publisherElsevier
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140102180
dc.rights©2015 Elsevier Ltd. All rights reserved
dc.source.urihttps://doi.org/10.1016/j.ins.2015.01.002
dc.subjectLarge-scale disasters; relief supplies allocation; Interval numbers; Fuzzy numbers; Decision-makers' preferences
dc.titleRelief supplies allocation and optimization by interval and fuzzy number approaches
dc.typeJournal article
pubs.publication-statusPublished

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