A FUZZY APPROACH FOR INFORMATION QUALITY ASSESSMENT IN BIG DATA ENVIRONMENT

Information quality assessment is very important for enterprise development, especially under big data environment. This paper combines the characteristics of big data to construct an information quality evaluation index system in a big data environment. The information quality assessment system includes fourteen indicators consisting of four aspects: reliability, relevance, timeliness, completeness, etc. Then, we set up Five examples to test and verify the information quality evaluation index system with a fuzzy approach, and the examples demonstrate the rationality and feasibility of the evaluation index system. The results of the study have certain theoretical and practical significance for the assessment of the quality of accounting data in a big data environment. Keywords: big data, data quality, fuzzy set, fuzzy logic, fuzzy approach.