FUZZY MULTICRITERIAL OPTIMIZATIONS IN THE TRANSPORTATION PROBLEM

dc.contributor.authorTkacenko, Alexandra
dc.date.accessioned2018-03-06T12:51:09Z
dc.date.available2018-03-06T12:51:09Z
dc.date.issued2017
dc.description.abstractIn the paper an iterative fuzzy programming approach for solving the multi-objective transportation problem of ”bottleneck”type with some imprecise data is developed. Minimizing the worst upper bound to obtain an efficient solution which is close to the best lower bound for each objective function iterative, we find the set of efficient solutions for all time levels.en
dc.identifier.citationTKACENKO, Al. Fuzzy multicriterial optimizations in the transportation problem. In: The Fourth Conference of Mathematical Society of the Republic of Moldova dedicated to the centenary of V. Andrunachievici (1917-1997): Proceeding CMSM4, June28-July2, 2017. Ch.: CEP USM, 2017, pp. 447-450. ISBN 978-9975-71-915-5en
dc.identifier.isbn978-9975-71-915-5
dc.identifier.urihttps://msuir.usm.md/handle/123456789/1683
dc.language.isoenen
dc.publisherCEP USMen
dc.subjectfuzzy programmingen
dc.subjectfuzzy modelen
dc.subjecttransportation problemen
dc.subjectefficient solutionen
dc.titleFUZZY MULTICRITERIAL OPTIMIZATIONS IN THE TRANSPORTATION PROBLEMen
dc.typeArticleen

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