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

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dc.Conferencecode134594
dc.Conferencedate16 November 2017 through 17 November 2017
dc.Conferencename2017 IEEE Conference on Big Data and Analytics, ICBDA 2017
dc.FundingDetailsUniversiti Teknologi MARA: 0122/2016,�600-IRMI/DANA 5/3/LESTARI
dc.FundingDetailsThis research is funded by the Government of Malaysia under LESTARI Research Grant at Universiti Teknologi MARA, Shah Alam (600-IRMI/DANA 5/3/LESTARI (0122/2016).
dc.citedby2
dc.contributor.affiliationsFaculty of Quran and Sunnah Studies
dc.contributor.affiliationsUniversiti Teknologi MARA (UiTM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorBin Rodzman S.B.en_US
dc.contributor.authorIsmail N.K.en_US
dc.contributor.authorRahman N.A.en_US
dc.contributor.authorNor Z.M.en_US
dc.date.accessioned2024-05-28T08:37:53Z
dc.date.available2024-05-28T08:37:53Z
dc.date.issued2018
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. � 2017 IEEE.
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICBDAA.2017.8284113
dc.identifier.epage98
dc.identifier.isbn9781540000000
dc.identifier.scopus2-s2.0-85047439440
dc.identifier.spage93
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85047439440&doi=10.1109%2fICBDAA.2017.8284113&partnerID=40&md5=2dc5810c1a7ff63d84ba370768973bc0
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9198
dc.identifier.volume2018-January
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2017 IEEE Conference on Big Data and Analytics, ICBDA 2017
dc.sourceScopus
dc.subjectBM25 modelen_US
dc.subjectFuzzy Logicen_US
dc.subjectfuzzy ruleen_US
dc.subjectfuzzy seten_US
dc.subjectMalay Text Corpusen_US
dc.subjectProbabilistic modelen_US
dc.subjectranking functionen_US
dc.subjectVector Space modelen_US
dc.subjectBig dataen_US
dc.subjectComputer circuitsen_US
dc.subjectFuzzy inferenceen_US
dc.subjectFuzzy rulesen_US
dc.subjectFuzzy setsen_US
dc.subjectInformation retrievalen_US
dc.subjectSearch enginesen_US
dc.subjectVector spacesen_US
dc.subjectFuzzy inference systemsen_US
dc.subjectFuzzy logic controllersen_US
dc.subjectMalay textsen_US
dc.subjectProbabilistic modelingen_US
dc.titleThe implementation of fuzzy logic controller for defining the ranking function on Malay text corpusen_US
dspace.entity.typePublication

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