FUZZY MULTICRITERIAL OPTIMIZATIONS IN THE TRANSPORTATION PROBLEM
Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
fuzzy programming, fuzzy model, transportation problem, efficient solution
Citation
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