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Presenting a fuzzy relation to classify the Persian Web documents

机译:提出模糊关​​系以对波斯网络文档进行分类

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Accumulation of existing web documents on the Internet from one side and rapid changes of these pages and their exponential growth made their manually organizing and retrieving almost impossible. Therefore it is necessary to have a system that can automatically put these pages into the related classes to provide their results for the applied tools to be used. Unfortunately, the classification of Persian Web documents considering their unique structure and challenges is more difficult. In this paper, the results of the classification of Persian Web documents which is obtained using a relation derived from fuzzy theory will be discussed later on. The results of this research are obtained by a survey process in which the job sequences include the construction of software, dataset of Persian Web documents and testing and assessment of the documents. The favorable results obtained from the output of this research confirm the hypothesis of the research so that the accuracy of the classification is satisfactory in compare to the average accuracy of classification in other researches.
机译:一方面,Internet上现有Web文档的累积以及这些页面的快速变化及其指数级增长,使得几乎无法手动组织和检索它们。因此,有必要提供一个系统,该系统可以自动将这些页面放入相关类中,以为使用的应用工具提供其结果。不幸的是,考虑到其独特的结构和挑战,对波斯Web文档进行分类更加困难。在本文中,稍后将讨论使用从模糊理论推导的关系获得的波斯Web文档分类结果。这项研究的结果是通过调查过程获得的,其中工作顺序包括软件的构建,波斯网络文档的数据集以及文档的测试和评估。从这项研究的结果中获得的良好结果证实了该研究的假设,因此与其他研究的平均分类准确度相比,分类的准确度是令人满意的。

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