THE MULTI-CRITERIA FRACTIONAL TRANSPORTATION PROBLEM WITH FUZZY "BOTTLENECK" CONDITION

Tkacenko, Alexandra

THE MULTI-CRITERIA FRACTIONAL TRANSPORTATION PROBLEM WITH FUZZY "BOTTLENECK" CONDITION

Alexandra Tkacenko ()
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Alexandra Tkacenko: The State University of Moldova

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2016, vol. 50, issue 3, 117-134

Abstract: The paper proposes a new approach to the multi-criteria fractional transportation problem with the same bottleneck denominators, additionally criterion for is also time constraint, i.e. the type bottleneck. We propose to study the case when the bottleneck criterion is not deterministic, but of fuzzy type. In this paper I propose an iterative algorithm for solving the model. It generates the crowds efficient model solutions for different types of approaches to the time required for transport from optimistic to pessimistic, using for this purpose the possible ranges of variation thereof. The algorithm was tested on several examples and was found to be quite effective.

Keywords: Fuzzy programming; fractional multi-criteria transportation model; “bottleneck” criterion; efficient solution; coefficient of optimism. (search for similar items in EconPapers)
JEL-codes: C29 C70 (search for similar items in EconPapers)
Date: 2016
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