Research on Emergency Logistics Management by Employing Uncertain Case-Based Reasoning
Xuedou Yu, Xiulian Gao
Available Online June 2018.
- 10.2991/eame-18.2018.70How to use a DOI?
- case-based reasoning; uncertain theory; emergency logistics; similar degree
A new solution strategy about emergency logistics by employing uncertain case-based reasoning was provided for the management of emergency logistics. A scientific case-based reasoning rule and model reasoning algorithm were established. According to expert opinions, the membership function of each attribute of factors affecting logistics can be obtained. Then, according to the uncertain inference theory, the similar degree of new case and every known case can be calculated, and the similar degree are denoted as s1, s2, ,-, sk, respectively. Through these similar degrees, the ownership of the new cases can be determined. Through examples, the classified method is correct and effective.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xuedou Yu AU - Xiulian Gao PY - 2018/06 DA - 2018/06 TI - Research on Emergency Logistics Management by Employing Uncertain Case-Based Reasoning BT - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018) PB - Atlantis Press SP - 330 EP - 334 SN - 2352-5401 UR - https://doi.org/10.2991/eame-18.2018.70 DO - 10.2991/eame-18.2018.70 ID - Yu2018/06 ER -