Title :
Research on the risk evaluation method of the Logistics Information Platform
Author :
Min Xiao-jun ; Yun Jun
Author_Institution :
Wuhan Univ. of Technol., Wuhan, China
Abstract :
Through the analysis of risk factors of the Logistics Information Platform, this article presents the research of the attribute synthetic assessment method applied to the risk of logistics information platform, on the basis of attribute theory. This paper constructs the function of the single index attribute measurement, by the classification of single index. Thereby, that using more quantitative data to evaluate risk of the platform makes the evaluation more scientific, we can come to the conclusion that the attribute synthetic evaluation method used to evaluating the risk of logistics information platform has the feasibility of reality.
Keywords :
logistics data processing; pattern classification; risk management; security of data; attribute synthetic assessment method; attribute synthetic evaluation method; attribute theory; logistic information platform; quantitative data; risk evaluation; risk evaluation method; risk factor analysis; single index attribute measurement; single index classification; Educational institutions; Indexes; Logistics; Risk management; Security; attribute synthetic evaluation; evaluation; logistics information platform; risk;
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-3015-2
DOI :
10.1109/ICMSE.2012.6414238