Fuzzy models in logistics: Approaches and examples

dc.authorid0000-0002-0737-8714en_US
dc.contributor.authorDorokhov, Oleksandr
dc.contributor.authorChernov, Vladimir
dc.contributor.authorDorokhova, Liudmyla
dc.date.accessioned2024-07-12T21:31:51Z
dc.date.available2024-07-12T21:31:51Z
dc.date.issued2018en_US
dc.departmentRektörlük, Kongreler, Uluslararası İşletme ve Pazarlama Kongresien_US
dc.description.abstractThe difficulties of using classical probability-statistical methods in the problems of logistics are described. The necessity and expediency of using for these problems (under conditions of uncertainty and indistinctness of actual information) the methods based on the theory of fuzzy sets is substantiated. Fuzzy multiple approaches to such tasks as optimization of transport distribution and customer service processes, risk assesment using fuzzy conditional certificates, placement of distribution warehousing centers at the service ground have been conceptually presented. Also, are given features of the application for logistics tasks so-called fuzzy sets of the second order. The proposed approaches provide a more capacious and adequate representation of logistics information, which allows to realize more accurate calculations and thereby increase the economic efficiency of logistical optimization.en_US
dc.identifier.citationDorokhov, O., Chernov, V. ve Dorokhova, L. (2018). Fuzzy models in logistics: Approaches and examples. International Congress on Business and Marketing. s. 274-287.en_US
dc.identifier.endpage287en_US
dc.identifier.isbn978 - 605 - 2124 - 09-3
dc.identifier.startpage274en_US
dc.identifier.urihttps://icbm.world/?lang=tr
dc.identifier.urihttps://hdl.handle.net/20.500.12415/6326
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Congress on Business and Marketingen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY01568
dc.subjectLogisticsen_US
dc.subjectDecision makingen_US
dc.subjectFuzzy modelingen_US
dc.titleFuzzy models in logistics: Approaches and examplesen_US
dc.typeArticle
dspace.entity.typePublication

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