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Novel method for the evaluation of data quality based on fuzzy control 被引量:1
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作者 Ban Xiaojuan Ning Shurong +1 位作者 Xu Zhaolin Cheng Peng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第3期606-610,共5页
One of the goals of data collection is preparing for decision-making, so high quality requirement must be satisfied. Rational evaluation of data quality is an effective way to identify data problem in time, and the qu... One of the goals of data collection is preparing for decision-making, so high quality requirement must be satisfied. Rational evaluation of data quality is an effective way to identify data problem in time, and the quality of data after this evaluation is satisfactory with the requirement of decision maker. A fuzzy neural network based research method of data quality evaluation is proposed. First, the criteria for the evaluation of data quality are selected to construct the fuzzy sets of evaluating grades, and then by using the learning ability of NN, the objective evaluation of membership is carried out, which can be used for the effective evaluation of data quality. This research has been used in the platform of 'data report of national compulsory education outlay guarantee' from the Chinese Ministry of Education. This method can be used for the effective evaluation of data quality worldwide, and the data quality situation can be found out more completely, objectively, and in better time by using the method. 展开更多
关键词 data quality evaluation system fuzzy control theory neural network.
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