A big data quality evaluation method based on group heterogeneity rationality perception information fusion

•The LINMAP model based on bounded rationality (BR-LINMAP) is defined.•The LINMAP model based on heterogeneous rationality (HR-LINMAP) is proposed.•The HR-LINMAP model is the general form of the PR-LINMAP model and the BR-LINMAP model.•A universal big data quality evaluation method is proposed. Big...

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Vydáno v:Computers & industrial engineering Ročník 190; s. 110009
Hlavní autoři: Zuo, Wenjin, Yu, Dejian, Hu, Qiang, Liu, Lijun
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.04.2024
Témata:
Big data quality evaluation
Heterogeneous rationality
LINMAP
Value function
LINMAP
Value function
Big data quality evaluation
Heterogeneous rationality
ISSN:0360-8352, 1879-0550
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Shrnutí:•The LINMAP model based on bounded rationality (BR-LINMAP) is defined.•The LINMAP model based on heterogeneous rationality (HR-LINMAP) is proposed.•The HR-LINMAP model is the general form of the PR-LINMAP model and the BR-LINMAP model.•A universal big data quality evaluation method is proposed. Big data is complex, and it is difficult to evaluate big data quality with only a few evaluation subjects. This paper designs a universal evaluation method for big data quality based on the idea of group heterogeneity rationality perception information fusion. Group evaluation information is usually large-scale and heterogeneous. The linear programming technique for multidimensional analysis of preference (LINMAP) model has the performance of large-scale evaluation information processing. Because the existing LINMAP models cannot effectively process group evaluation information with heterogeneous rationality, the LINMAP model of heterogeneous rationality (HR-LINMAP) based on group evaluation information is proposed. The research results show: under certain conditions, the LINMAP model of bounded rationality (BR-LINMAP) can be transformed into the LINMAP model of perfect rationality (PR-LINMAP), and the HR-LINMAP is the general form of PR-LINMAP and BR-LINMAP. The scientific research big data resources with mature trading markets are selected as the evaluation objects, and HR-LINMAP is used to analyze the big data quality evaluation cases. The empirical analysis shows that the HR-LINMAP model is feasible and effective, which provides a new idea for big data quality evaluation.
ISSN:0360-8352
1879-0550
DOI:10.1016/j.cie.2024.110009