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Classification Method of Network Database Record Based on Fuzzy Theory

机译:基于模糊理论的网络数据库记录分类方法

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In order to improve the efficiency of database management and intelligence of database record classification, a classification method of network database record based on fuzzy theory is proposed in this paper. Firstly, an automatic classification frame of database is constructed, and then standard record model and special data record and new record model on fuzzy set are given. By calculating the membership of keyword, new fuzzy closeness functions are proposed to classify the information. Finally, examples prove that this algorithm can effectively and automatically classify input information of database, the accuracy and intelligence is better, and can greatly improve information input efficiency of database.
机译:为了提高数据库管理的效率和数据库记录分类的智能性,提出了一种基于模糊理论的网络数据库记录分类方法。首先建立了数据库的自动分类框架,然后给出了标准记录模型和特殊数据记录以及模糊集上的新记录模型。通过计算关键词的隶属度,提出了新的模糊接近度函数对信息进行分类。最后通过实例证明,该算法可以有效,自动地对数据库的输入信息进行分类,准确性和智能性更好,可以大大提高数据库的信息输入效率。

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