A ranking method for post-disaster restoration based on fuzzy preference relation

China is one of the countries which is often affected by kinds of natural disasters. In China, More than 458 cities and more than 50% of the population are distributed in natural disaster-prone areas. As a developing country, China should take this as a warning. It is important to establish a complete post-disaster reconstruction and rehabilitation system to respond to sudden natural disasters. In order to get post-disaster restoration items scheduling, we invited experts to give the fuzzy preference relation coefficients on the restoration items. Then an optimization model was proposed based on the fuzzy preference relation, and the model was solved to obtain ranking values of the items. The experimental result gives priority to the restoration of basic livelihood of the people and public service facilities. It is people-oriented in line with the principle of earthquake recovery and reconstruction planning of China.