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Big Data Validity Evaluation Based on MMTD

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  • Ningning Zhou
  • Guofang Huang
  • Suyang Zhong

Abstract

Big data has been studied extensively in recent years. With the increase in data size, data quality becomes a priority. Evaluation of data quality is important for data management, which influences data analysis and decision making. Data validity is an important aspect of data quality evaluation. Based on 3V properties of big data, dimensions that have a major influence on data validity in a big data environment are analyzed. Each data validity dimension is analyzed qualitatively using medium logic. The measuring of medium truth degree is used to propose models to measure single and multiple dimensions of big data validity. The validity evaluation method based on medium logic is more reasonable and scientific than general methods.

Suggested Citation

  • Ningning Zhou & Guofang Huang & Suyang Zhong, 2018. "Big Data Validity Evaluation Based on MMTD," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-6, June.
    • Handle: RePEc:hin:jnlmpe:8058670
    DOI: 10.1155/2018/8058670
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    Cited by:

    1. Hongbin Hu & Yongbin Wang, 2022. "Research on Convergence Media Consensus Mechanism Based on Blockchain," Sustainability, MDPI, vol. 14(17), pages 1-27, September.

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