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The implementation of fuzzy logic controller for defining the ranking function on malay text corpus

机译:模糊逻辑控制器的实现,用于定义马来文本语料库中的排名功能

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Ranking is likely the most important process of an Information Retrieval (IR) system that will be used to evaluate and measure the effectiveness of an IR system. This paper aims to produce the implementation of Fuzzy Logic Controller of Mamdani-type Fuzzy Inference System for defining the ranking function by using the BM25 Model in the Malay IR System that also includes the Malay Stemmer. The result of the ranking function then will be compared to the result of Vector Space Model that is also applied in Malay IR System and be evaluated using relevant document by the Hadith expert. The results showed that FBMIR has slightly outperformed Vector Space Model on 3 Topic Set of query results such as “Iman”, “Ilmu” and “Wuduk” on the Precision at Rank 10 and the percentage of no relevant document in the top ten retrieved measures.
机译:排名可能是用于评估和测量IR系统的有效性的信息检索(IR)系统最重要的过程。本文旨在通过使用马来红外线系统中的BM25模型来制定Mamdani型模糊推理系统的模糊逻辑控制器的实现,该方法也包括马来的IR系统中的BM25型号。然后将与载体空间模型的结果进行比较,该结果也将在马来的IR系统中应用,并通过Hadith专家使用相关文件来评估。结果表明,FBMIR在3个主题查询结果集中略高于传染媒介空间模型,例如“iman”,“ilmu”和“Wuduk”在等级10的精度上,并且在十大检索措施中没有相关文件的百分比。

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