Research on Emergency Logistics Management by Employing Uncertain Case-Based Reasoning

DOI

10.2991/eame-18.2018.70How to use a DOI?

Keywords

case-based reasoning; uncertain theory; emergency logistics; similar degree

Abstract

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.

Copyright

© 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/).

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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  -