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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/158560
Title: Fuzzy knowledge based system for planning and optimization of tanker-refueler routes
Authors: Kondratenko, G. V.
Kondratenko, N. Y.
Kondratenko, Y. P.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение
Issue Date: 2016
Publisher: Minsk: Publishing Center of BSU
Abstract: This paper deals with the mathematical formalization of tanker-refueller routing problem (TRRP) under uncertain information about the demands of served ships. Several approaches are considered for increasing efficiency of T-RRP solving, in particular, synthesis of decision-making algorithms and mathematical models based on the interactive approach. The main focus of the paper deals with the application of fuzzy sets and fuzzy logic for modeling uncertain orders of served ships and for solving considered optimization problems for fuel transportation in uncertainty. The paper presents the developed fuzzy decision making system and simulation results for realization bunkering programs by solving T-RRP in different performance conditions.
URI: http://elib.bsu.by/handle/123456789/158560
Appears in Collections:2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016)

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