ITERATIVE APPROACH FOR SOLVING FUZZY MULTI-CRITERIA TRANSPORTATION PROBLEM OF "BOTTLENECK" TYPE

Tkacenko, Alexandra

dc.contributor.author	Tkacenko, Alexandra
dc.date.accessioned	2017-09-28T12:08:50Z
dc.date.available	2017-09-28T12:08:50Z
dc.date.issued	2014
dc.identifier.citation	TKACENKO, Al. Iterative approach for solving fuzzy multi-criteria transportation problem of "bottleneck" type. In: The Third Conference of Mathematical Society of the Republic of Moldova: dedicated to the 50th anniversary of the foundation of the Institute of Mathematics and Computer Science, 19-23 aug. 2014, Chisinau, Moldova: Proceedings IMCS-50.Ch., 2014, pp.418-421 .ISBN 978-9975-68-244-2	en
dc.identifier.isbn	978-9975-68-244-2
dc.identifier.uri	http://dspace.usm.md:8080/xmlui/handle/123456789/1320
dc.description.abstract	In the paper an iterative fuzzy programming approach is developed for solving the multi-objective transportation problem of "bottleneck" type with some imprecise data. Minimizing iteratively the worst upper bound to obtain an e±cient solution which is close to the best lower bound for each objective function, we find the set of efficient solutions for all time levels.	en
dc.language.iso	en	en
dc.publisher	Valines SRL	en
dc.subject	fuzzy programming	en
dc.subject	fuzzy model	en
dc.subject	transportation problem	en
dc.subject	efficient solution	en
dc.title	ITERATIVE APPROACH FOR SOLVING FUZZY MULTI-CRITERIA TRANSPORTATION PROBLEM OF "BOTTLENECK" TYPE	en
dc.type	Article	en