FUZZY MULTICRITERIAL OPTIMIZATIONS IN THE TRANSPORTATION PROBLEM
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CEP USM
Abstract
In 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.
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TKACENKO, 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 978-9975-71-915-5