A Model of Continuous Improvement of Data Quality in Modelling and Simulation

Zhijun Han

Abstract


Accurate, reliable and adaptive data form the foundation stone of large-scale simulation system and data quality becomes one of the most important measures weighing the reliability of simulation system. This paper firstly establishes an index system of data quality evaluation for large-scale simulation system which uses the six-grade scale method to mark and calculate weights of indexes, then draws out the curve between investments and quality index values by Pearl forecasting model, and lastly gets the optimized outlay distribution based on GA upon the condition of fixed total investment, realizing the continuous improvement of data quality and helping to the promotion of reliability for large-scale simulation system.


DOI
10.12783/dtetr/apetc2017/10946

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