DocumentCode :
3367583
Title :
Research on Quality-Based Data Creditability Evaluating Method in Complex Systems Simulation
Author :
Zhang Ying-chao ; Zhang Jing ; Li Wei ; Ye Feng
Author_Institution :
Sci. & Technol. on Complex Syst. Simulation Lab., Beijing Inst. of Syst. Eng., Beijing, China
fYear :
2012
fDate :
15-19 July 2012
Firstpage :
193
Lastpage :
195
Abstract :
Data creditability plays a very important role in the complex system simulation creditability. From the point of how to evaluate and improve the complex system simulation data creditability, the concept of the data quality modeling is advanced and the three-dimension data quality modeling space is founded. Based on which, a multiple attributes decision making theory based data creditability evaluating method is put forward. Taking the joint simulation and experiment as a typical application area, the application of the data creditability evaluating method is discussed initially.
Keywords :
credit transactions; data analysis; decision making; attributes decision making theory; complex system simulation; data creditability; data quality modeling; Accuracy; Analytical models; Companies; Data models; Indexes; Stock markets; Vectors; Complex systems simulation; Data creditability; Data quality modeling; Joint simulation and experiment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Principles of Advanced and Distributed Simulation (PADS), 2012 ACM/IEEE/SCS 26th Workshop on
Conference_Location :
Zhangjiajie
ISSN :
1087-4097
Print_ISBN :
978-1-4673-1797-9
Type :
conf
DOI :
10.1109/PADS.2012.38
Filename :
6305911
Link To Document :
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