离线访问具有模糊搜索元素的远程数据库

V.V. Senkevich
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引用次数: 0

摘要

提出了一种广域分布式数据库远程脱机访问系统的开发方法。在这些方法的基础上,可以构建不同的商业信息处理系统。他试图通过比较商业报价文本及其“相似”的计算标准来克服这些消极时刻。通过这种比较得到的不确定性,用一种特殊的算法进行分析和处理。他还描述了一种基于模糊集理论的文本身份比较算法。然后,他提出了一种新的“混合”算法,试图将负矩最小化。分析的主要目标是:根据身份标准选择“喜欢”的文字描述;独立于某些分类器或数据库字段列表中的新项;并自动搜索相应的数据库文本描述、数据库字段或数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Off-line-access to remote databases with fuzzy searching elements
The author presents some approaches for the development of a wide area distributed databases system with remote off-line access. On the basis of such approaches different systems of commercial information processing may be constructed. He attempts to overcome the negative moments by comparing the texts of commercial offers and calculation criteria of its "likeness". An uncertainty, obtained after such comparison, is analyzed and handled by a special algorithm. He also describes an algorithm of text identity comparison based on the fuzzy set theory. He then offers a new "hybrid" algorithm that tries to minimize the negative moments. The main goals of the analysis are: selection of "like" text descriptions on the basis of the criteria of identity; independence from new items in some classifiers or database field lists; and an automatic search of corresponding text descriptions of database, database fields, or data.<>
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