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An Evidence-Combination-Based Simulation Result Validation Method for Multi-source Data

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Modeling, Design and Simulation of Systems (AsiaSim 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 751))

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Abstract

Simulation result validation is a crucial work in simulation credibility assessment. The result validation metric is a measure of agreement between simulation output and experimental observations. Sometimes the observations maybe derive from different data sources such as the actual system output, credible hardware-in-the-loop simulation system output and the expert opinions and so on. Then the agreement analysis results of system response would be multiple certainly. To solve the simulation result validation with multi-source data, the paper proposes a result validation method based on evidence combination. First, the evidence representation methods for multi-source data on the structure of evidence space are proposed. Then the multiple evidence bodies are aggregated based on evidence combination rules and the integrated validation result could be achieved. In the end, the application process and effectiveness of this validation method is illustrated through a numerical example.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (Grant No. 61403097).

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Correspondence to Ping Ma .

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Lin, S., Li, W., Ma, P., Yang, M., Huo, J. (2017). An Evidence-Combination-Based Simulation Result Validation Method for Multi-source Data. In: Mohamed Ali, M., Wahid, H., Mohd Subha, N., Sahlan, S., Md. Yunus, M., Wahap, A. (eds) Modeling, Design and Simulation of Systems. AsiaSim 2017. Communications in Computer and Information Science, vol 751. Springer, Singapore. https://doi.org/10.1007/978-981-10-6463-0_13

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  • DOI: https://doi.org/10.1007/978-981-10-6463-0_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6462-3

  • Online ISBN: 978-981-10-6463-0

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