首页> 外文会议>IEEE International Conference on Intelligent Computing and Intelligent Systems >A ranking method for post-disaster restoration based on fuzzy preference relation
【24h】

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

机译:基于模糊偏好关系的灾后恢复排序方法

获取原文

摘要

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.
机译:中国是经常遭受各种自然灾害影响的国家之一。在中国,有458多个城市和50%以上的人口分布在自然灾害多发地区。作为发展中国家,中国应以此为警告。建立完整的灾后重建和恢复系统以应对突发自然灾害非常重要。为了得到灾后恢复项目的调度,我们邀请专家对恢复项目给出模糊偏好关系系数。然后基于模糊偏好关系提出了一种优化模型,并对模型进行求解以获得物品的排序值。实验结果优先重视恢复人民群众基本生活和公共服务设施。以人为本,符合中国地震灾后恢复重建计划的原则。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号