A new overall quality indicator OQoC and the corresponding context inconsistency elimination algorithm based on OQoC and Dempster–Shafer theory

Abstract

With the rapid development of Internet of things technology, context-aware systems (CASs) are being gradually improved and widely applied to many fields such as digital home, smart health and so on. However, context information from sensor-rich CASs usually has inconsistency, which leads to wrong decisions made by systems, and even lowers user experience. Therefore, a new overall quality of context (OQoC) indicator is defined, which is the effective fusion of the parameters of reliability, up-to-dateness and modified correctness. Its accurate measurement is of great importance in inconsistency elimination. Moreover, we put forward a new context inconsistency elimination algorithm based on OQoC and Dempster–Shafer theory. The performance of the proposed algorithm is verified in personal identity verification scenario. Experimental results from multiple dimensions fully show the superiority of the proposed algorithm in solving context inconsistency problem, and quality of context information using the proposed algorithm has been greatly improved.

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (61771292, 61401253), the National Key Research and Development Program of China (2017YFC0803403, 2018YFC0831001) and the Natural Science Foundation of Shandong Province of China (ZR2016FM29, ZR2019MF038), the Key Research and Development Program of Shandong Province of China (2017GGX201003).

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Correspondence to Hongji Xu.

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Chen, M., Xu, H., Xiong, H. et al. A new overall quality indicator OQoC and the corresponding context inconsistency elimination algorithm based on OQoC and Dempster–Shafer theory. Soft Comput 24, 10829–10841 (2020). https://doi.org/10.1007/s00500-019-04585-0

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Keywords

  • Context-aware systems
  • Inconsistency
  • Overall quality of context indicator
  • Dempster–Shafer theory
  • Personal identity verification