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A Fuzzy Approach for Information Quality Assessment in Big Data Environment

Year: 2024

Type: article

Abstract: 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.

Source: ETM Equipment Technologies Materials

DOI: 10.36962/etm23052024-06

Authors: Kifayat Mammadova Kifayat Mammadova, Ibrahim Abasov Ibrahim Abasov

Language: English

Topic: Data Quality and Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4404318236

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