复杂系统仿真中基于质量的数据可信度评估方法研究

2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation Pub Date : 2012-07-01 DOI:10.1109/PADS.2012.38

Yingchao Zhang, Jing Zhang, Wei Li, Feng Ye

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引用次数: 0

摘要

数据可信度在复杂系统仿真可信度中起着非常重要的作用。从如何评价和提高复杂系统仿真数据可信度的角度出发，提出了数据质量建模的概念，建立了三维数据质量建模空间。在此基础上，提出了一种基于多属性决策理论的数据可信度评价方法。以联合仿真与实验为典型应用领域，初步探讨了数据可信度评估方法的应用。

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Research on Quality-Based Data Creditability Evaluating Method in Complex Systems Simulation

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.

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2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation

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