Fuzzy knowledge based system for planning and optimization of tanker-refueler routes

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.