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Expert judgment Z-Numbers as a ranking indicator for hierarchical fuzzy logic system

IAES International Journal of Artificial Intelligence · Vol. 8 No. 3 (2019) · hlm. 244–251

DOI
10.11591/ijai.v8.i3.pp244-251
ISSN
2252-8938, 2089-4872
Terbit
2019-09-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

In 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.

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15 penulis · 36 tautan kepenulisan bersama · 18 lintas organisasi

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  • Universiti Teknologi MARA
  • Universiti Malaysia Pahang Al-Sultan Abdullah
  • Institut Teknologi Sepuluh Nopember
  • Universiti Sains Islam Malaysia
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  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Mohammad Isa IrawanInstitut Teknologi Sepuluh Nopember1
Mohammad Ashraf IqbalInstitut Teknologi Sepuluh Nopember1
Noryanti MuhammadUniversiti Malaysia Pahang Al-Sultan Abdullah1
Mohd Khairul Bazli Mohd AzizUniversiti Malaysia Pahang Al-Sultan Abdullah1
Muhammad Nanda SetiawanInstitut Teknologi Sepuluh Nopember1
Seri Dahlia IdrusUniversiti Teknologi MARA1
Noor Latiffah AdamUniversiti Teknologi MARA1
Modafar Shaker AkhoirshiedaUniversiti Malaysia Pahang Al-Sultan Abdullah1
Suryanti AwangUniversiti Malaysia Pahang Al-Sultan Abdullah1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Expert judgment Z-Numbers as a ranking indicator for hierarchical fuzzy logic system</dc:title>
	<dc:creator>bin Rodzman, Shaiful Bakhtiar</dc:creator>
	<dc:creator>Kamal Ismail, Normaly</dc:creator>
	<dc:creator>Abd Rahman, Nurazzah</dc:creator>
	<dc:creator>Ahmad Aljunid, Syed</dc:creator>
	<dc:creator>Mohamed Nor, Zulhilmi</dc:creator>
	<dc:creator>Naim Ku Khalif, Ku Muhammad</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">BM25 model; Domain specific text retrieval; Expert judgment; Fuzzy logic; Ranking indicator; Z-Numbers</dc:subject>
	<dc:description xml:lang="en-US">In 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.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2019-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/20271</dc:identifier>
	<dc:identifier>10.11591/ijai.v8.i3.pp244-251</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 8, No 3: September 2019; 244-251</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v8.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/20271/12851</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>