Publication:
The Implementation of Fuzzy Logic Controller for Defining the Ranking Function on Malay Text Corpus

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dc.ConferencecodeIEEE, IEEE Comp Soc Malaysia
dc.ConferencedateNOV 16-17, 2017
dc.ConferencelocationKuching, MALAYSIA
dc.ConferencenameIEEE Conference on Big Data and Analytics (ICBDA)
dc.contributor.authorbin Rodzman, SBen_US
dc.contributor.authorIsmail, NKen_US
dc.contributor.authorAbd Rahman, Nen_US
dc.contributor.authorNor, ZMen_US
dc.date.accessioned2024-05-29T03:26:37Z
dc.date.available2024-05-29T03:26:37Z
dc.date.issued2017
dc.description.abstractRanking 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.
dc.identifier.epage98
dc.identifier.scopusWOS:000426452100016
dc.identifier.spage93
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/12136
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.sourceWeb Of Science (ISI)
dc.sourcetitle2017 IEEE CONFERENCE ON BIG DATA AND ANALYTICS (ICBDA)
dc.subjectFuzzy Logicen_US
dc.subjectMalay Text Corpusen_US
dc.subjectfuzzy seten_US
dc.subjectfuzzy ruleen_US
dc.subjectVector Space modelen_US
dc.subjectProbabilistic modelen_US
dc.subjectBM25 modelen_US
dc.subjectranking functionen_US
dc.titleThe Implementation of Fuzzy Logic Controller for Defining the Ranking Function on Malay Text Corpusen_US
dc.typeArticleen_US
dspace.entity.typePublication

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