Title: The implementation of fuzzy logic controller for defining the ranking function on Malay retrieval system

Authors: Shaiful Bakhtiar bin Rodzman; Normaly Kamal Ismail; Nurazzah Abd Rahman; Zulhilmi Mohamed Nor

Addresses: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia ' Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia ' Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia ' Fakulti Pengajian Quran dan Sunnah, Universiti Sains Islam Malaysia, Bandar Baru Nilai, Malaysia

Abstract: 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 three 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.

Keywords: fuzzy logic; Malay text corpus; fuzzy set; fuzzy rule; vector space model; probabilistic model; BM25 model; ranking function.

DOI: 10.1504/IJDET.2022.124982

International Journal of Digital Enterprise Technology, 2022 Vol.2 No.1, pp.1 - 14

Received: 30 Dec 2017
Accepted: 31 Jul 2018
Published online: 22 Aug 2022 *

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