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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/593
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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.issued2013-12-01-
dc.identifier.isbn9781479903054-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/593-
dc.description.abstractThe object of Minimal Covering Location Problem (MinCLP) is to find a placement of the locations which have the minimal coverage. Minimal Covering location problem is the opposite of the Maximal Covering Location Problem (MCLP) which is more studied in literature. The role of fuzzy sets in the improvement of MCLP was studied in several papers in the past and the role of fuzzy sets in the improvement of MinCLP is analyzed in this paper. Two different models for two different classes of Fuzzy MinCLP will be presented. © 2013 IEEE.en
dc.relation.ispartofSISY 2013 - IEEE 11th International Symposium on Intelligent Systems and Informatics, Proceedingsen
dc.subjectcoveringen
dc.subjectdistancesen
dc.subjectfuzzyen
dc.subjectlocationen
dc.subjectminimalen
dc.titleSolving minimal covering location problem (MinCLP) with the aid of fuzzy setsen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/SISY.2013.6662564-
dc.identifier.scopus2-s2.0-84892505907-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84892505907-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage177en
dc.relation.lastpage180en
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Paper-
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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