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A study of SQL query processing using soft computing techniques:a hybrid vague logic approach

机译:使用软计算技术的SQL查询处理研究:混合模糊逻辑方法

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As we know that in this new era, the availability of modern data sets is massive. It is very difficult to find the variation and appropriate class for a data set. So, this paper introduces a comparison between fuzzy and vague sets for handling Structured Query Language (SQL) processing problems. This paper proposed a new method to convert crisp set into vague set with help of Positive Ordered Transformation formula (POTF). Further, vague sets are converted into fuzzy sets with help of Transforming Vague Set into Fuzzy Set method proposed by Liu et al. (Trans Comput Sci Ⅱ LNCS 5152:133-144, 2008). Further the similarity measures have been used to obtain similar tuple for classical fuzzy, vague and converted fuzzy sets based on SQL query processing. This proposed system diverse a resultant as a set based on supply limit/a-cut for fuzzy/vagueness/unclear information. After testing through many cases, this paper discussed a very good finding about proposed method for SQL query processing problems.
机译:正如我们所知,在这个新的时代,现代数据集的可用性是大量的。很难找到数据集的变体和适当的类。因此,本文介绍了对处理结构化查询语言(SQL)处理问题的模糊和模糊集之间的比较。本文提出了一种将CRISP的新方法与正有序转换公式(POTF)的帮助转换为模糊集。此外,随着将模糊集合转换为刘等人提出的模糊集方法,将模糊组转换为模糊集。 (反式计算机SCIⅡLNCS 5152:133-144,2008)。此外,相似度措施已被用于基于SQL查询处理的经典模糊,模糊和转换模糊组的类似元组。这一提出的系统根据用于模糊/模糊/不清晰的信息的供电限制/ A-Cut,将其作为一组相同。通过许多情况进行测试后,本文讨论了关于所提出的SQL查询处理问题的方法非常好的发现。

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