Using fuzzy AHP for evaluating the dimensions of data quality
by Davod Khosroanjom, Masoud Ahmadzade, Ali Niknafs, Reza Kiani Mavi
International Journal of Business Information Systems (IJBIS), Vol. 8, No. 3, 2011

Abstract: The business work flow depends on the data quality which is applied in the organisation. Therefore, data quality has become increasingly important to many organisations such as semiconductor industry. Data quality depends strongly on organisation of the information system (IS) and how the data is processed. Measuring and improving data quality in an organisation is a complex task. The purpose of this paper is to provide a good insight into the use of fuzzy analytical hierarchy process (fuzzy AHP) to incorporate four aspect dimensions of data quality: 1) intrinsic; 2) accessibility; 3) contextual; 4) representational. Findings demonstrate that the intrinsic criteria and accessibility criteria are the preferred key decision dimensions of data quality in semiconductor industry. Fuzzy AHP as a decision-making analysis tool is used for handling uncertain and imprecise data.

Online publication date: Tue, 30-Sep-2014

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