Application of the Naive Bayes Classifier Method and Fuzzy Analytical Hierarchy Process in Determining Books Eligible for Publishing

Mochamad Denny Irwansyah, Teguh Puja Negara, Erniyati Erniyati, Puspa Citra
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Abstract

The manuscript selection process is the process of assessing manuscripts worthy of publication. The Editor's job is to provide an evaluation of each manuscript based on the assessment criteria and sub-criteria. By using a decision support system, it can make it easier for policymakers to determine the suitability of a manuscript. In this research, a decision support system is applied to select papers that are worthy of publication, namely the Fuzzy Analytical Hierarchy Process (F-AHP) method for selecting the suitability of manuscripts using subjective criteria and the Naïve Bayes method for classifying books based on their genre. The test results using the F-AHP method produced an accuracy rate of 83.33% using 30 books out of 150 books and using the Naïve Bayes method produced an accuracy rate of 80% using 30 books from the internet. This system uses the Visual Studi Code IDE, Firebase, and Pythonanywhere as its database with an Android display.
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应用 Naive Bayes 分类法和模糊分析层次法确定符合出版条件的图书
稿件筛选过程是对值得发表的稿件进行评估的过程。编辑的工作是根据评估标准和次级标准对每篇稿件进行评估。通过使用决策支持系统,决策者可以更容易地确定稿件是否合适。在这项研究中,我们应用了一种决策支持系统来选择值得发表的论文,即使用模糊分析层次过程(F-AHP)方法来使用主观标准选择稿件的适宜性,以及使用奈伊夫贝叶斯方法根据书籍的体裁进行分类。使用 F-AHP 方法对 150 本图书中的 30 本进行了测试,准确率为 83.33%;使用 Naïve Bayes 方法对互联网上的 30 本图书进行了测试,准确率为 80%。该系统使用 Visual Studi Code IDE、Firebase 和 Pythonanywhere 作为数据库,并配有安卓显示屏。
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