Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/589
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dc.contributor.authorTakači, Aleksandaren_US
dc.contributor.authorMarić, Miroslaven_US
dc.contributor.authorDrakulić, Darkoen_US
dc.date.accessioned2022-08-13T14:52:05Z-
dc.date.available2022-08-13T14:52:05Z-
dc.date.issued2012-12-12-
dc.identifier.isbn9781467347518-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/589-
dc.description.abstractIn this paper an extension of fuzzy maximal covering location time problem (FMCLP) is presented. The travel times are considered to be linear, trapezoidal or Gaussian fuzzy numbers and the radius is considered to be a fuzzy set of a right shoulder type. For obtaining the distance a fuzzy ordering relation was used to compare distances to the radius. In order to solve the FMCLP problem we used discrete particle swarm optimization (DPSO) algorithm. Theoretical results show that the proposed DPSO algorithm is very competitive for FMCLP problem. © 2012 IEEE.en
dc.subjectcoveringen
dc.subjectfuzzyen
dc.subjectlocationen
dc.subjectmaximalen
dc.subjectproblemen
dc.titleThe role of fuzzy sets in improving maximal covering location problem (MCLP)en_US
dc.typeConference Paperen_US
dc.relation.publication2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informaticsen_US
dc.identifier.doi10.1109/SISY.2012.6339496-
dc.identifier.scopus2-s2.0-84870661235-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84870661235-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage103en_US
dc.relation.lastpage106en_US
item.fulltextNo Fulltext-
item.openairetypeConference Paper-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0001-7446-0577-
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