An incremental approach for data quality measurement with insufficient information

DOI10.1016/j.ijar.2018.03.007zbMath1444.68217OpenAlexW2790745668MaRDI QIDQ1644812

J. Nielandt, Antoon Bronselaer, Guy De Tré

Publication date: 22 June 2018

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2018.03.007

zbMATH Keywords

possibility theoryuncertainty modellingdata quality measurementinsufficient information

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• SAINTETIQ

Cites Work

• Maintaining knowledge about temporal intervals
• SAINTETIQ: A fuzzy set-based approach to database summarization
• Inferring a possibility distribution from empirical data
• A new approach to the summarization of data
• Default reasoning and possibility theory
• Interpretability of fuzzy linguistic summaries
• Fuzzy quantification: a state of the art
• Theory of capacities
• LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC
• Modeling Information Manufacturing Systems to Determine Information Product Quality
• An approach to the linguistic summarization of time series using a fuzzy quantifier driven aggregation
• A Possibilistic Treatment of Data Quality Measurement
• A behavioral model for linguistic uncertainty
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