Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/11486
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dc.contributor.authorTakači, Aleksandaren_US
dc.contributor.authorMarić, Miroslaven_US
dc.contributor.authorDrakulić, Darkoen_US
dc.date.accessioned2020-03-03T14:44:34Z-
dc.date.available2020-03-03T14:44:34Z-
dc.date.issued2012-12-12-
dc.identifier.isbn9781467347518en_US
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/11486-
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_US
dc.language.isoenen_US
dc.publisherIEEE - Institute of Electrical and Electronics Engineersen_US
dc.relation.ispartof2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2012, Proceedingsen_US
dc.titleThe role of fuzzy sets in improving maximal covering location problem (MCLP)en_US
dc.typeConference Paperen_US
dc.relation.conference10th Jubilee International Symposium on Intelligent Systems and Informatics, 20-22 Sept. 2012en_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.description.versionPublisheden_US
dc.relation.lastpage106en_US
dc.relation.firstpage103en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptTehnološki fakultet, Katedra za opšte inženjerske discipline-
crisitem.author.orcid0009-0008-4279-8010-
crisitem.author.parentorgTehnološki fakultet-
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