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Expert judgment z-numbers as a ranking indicator for hierarchical fuzzy logic system

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dc.FundingDetailsMinistry of Higher Education, Malaysia,�MOHE Universiti Teknologi MARA,�UiTM: 021/2017
dc.FundingDetailsThis research is funded by the Ministry of Education (MOE) Malaysia under FRGS Research Grant at Universiti Teknologi MARA, Shah Alam (600-IRMI/FRGS 5/3 (021/2017)).
dc.contributor.affiliationsFaculty of Quran and Sunnah Studies
dc.contributor.affiliationsUniversiti Teknologi MARA (UiTM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Malaysia Pahang (UMP)
dc.contributor.authorRodzman S.B.B.en_US
dc.contributor.authorIsmail N.K.en_US
dc.contributor.authorRahman N.A.en_US
dc.contributor.authorAljunid S.A.en_US
dc.contributor.authorNor Z.M.en_US
dc.contributor.authorKhalif K.M.N.K.en_US
dc.date.accessioned2024-05-29T01:56:20Z
dc.date.available2024-05-29T01:56:20Z
dc.date.issued2019
dc.description.abstractIn this article, the researchers main contribution is to investigate three factors which may correlate in implementation of Expert Judgment Z-Numbers as new Fuzzy Logic Ranking Indicator such as: expert relevance judgment or score, the expert confidence and the level of expertise. The Expert Judgment Z-Numbers then will be an input to the Hierarchical Fuzzy Logic System of Domain Specific Text Retrieval, along with other indicators such as Ontology BM25 Score, Fabrication Rate, Shia Rate and Positive Rate of hadith document. The results showed, the proposed system, with the additional new indicator of Expert Judgment Z-Numbers, may improve the original BM25 ranking function, by yielding better results on 26 queries, on all evaluation metrics that are measured in this research such as P@10, %no measures and MAP, and has achieved better results in 28 queries on P@10 alone, compared to the BM25 original score, that only yield better results in 2 queries on all evaluation metrics, and also yield better results in 4 queries on the MAP alone. The results proved that the proposed system has a capability to utilize the expert confidence and their relevant judgment that are represented in Z-Number, as an indicator to optimize the existing ranking function system and has a potential for a further research to be conducted on these domains. For the future works, the researchers would like to enhance this research by including a variety of expert’s level confidence and their judgment, also a new calculation to represent the value of Z-Numbers.en_US
dc.description.natureFinalen_US
dc.identifier.doihttp://doi.org/10.11591/ijai.v8.i3.pp244-251
dc.identifier.epage251
dc.identifier.issn20894872
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85073505648
dc.identifier.spage244
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073505648&doi=10.11591%2fijai.v8.i3.pp244-251&partnerID=40&md5=6db8ef44ba1e149c7377bf8a3a613ae7
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9825
dc.identifier.volume8
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofIAES International Journal of Artificial Intelligenceen_US
dc.sourceScopus
dc.subjectBM25 modelen_US
dc.subjectDomain specific text retrievalen_US
dc.subjectExpert judgmenten_US
dc.subjectFuzzy logicen_US
dc.subjectRanking indicator Z-Numbersen_US
dc.titleExpert judgment z-numbers as a ranking indicator for hierarchical fuzzy logic systemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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