Optimizing the overseas oil transportation paths based on fuzzy multi-objective programming

With China's degree of dependence upon overseas oil increase every year, the supply of oil resources impacts country's economic development and social stability directly. However, overseas oil imports exists such as piracy attacks, line accident and other risk during transportation, so a reasonable choice of transportation paths can control cost, reduce risk. A multi-objective transportation problem which considering distance and risk in the supply of oil import is presented. Then a mathematic model of this transportation problem is established. Based on a fuzzy programming algorithm distributing in the partial big-scale parabola, and then solving the model by a distance-risk matrix for a optimal compromise solution, finally with the actual data about China's crude oil imports in 2006 for the model verification, in order to provide policy suggest for china to choosing reasonable transportation paths.