O
Othman Ibrahim
Researcher at Universiti Teknologi Malaysia
Publications - 178
Citations - 6487
Othman Ibrahim is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Government & Collaborative filtering. The author has an hindex of 36, co-authored 173 publications receiving 4682 citations. Previous affiliations of Othman Ibrahim include Islamic Azad University & University of Manchester.
Papers
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Journal ArticleDOI
Collaborative filtering recommender systems
Mehrbakhsh Nilashi,Karamollah Bagherifard,Othman Ibrahim,Hamid Alizadeh,Lasisi Ayodele Nojeem,Nazanin Roozegar +5 more
TL;DR: This study presents an overview of the field of recommender systems with current generation of recommendation methods and examines comprehensively CF systems with its algorithms.
Journal ArticleDOI
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques
TL;DR: This research solves two main drawbacks of recommender systems, sparsity and scalability, using dimensionality reduction and ontology techniques, and uses ontology to improve the accuracy of recommendations in CF part.
Journal ArticleDOI
A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments
Abbas Mardani,Mehrbakhsh Nilashi,Mehrbakhsh Nilashi,Norhayati Zakuan,Nanthakumar Loganathan,Somayeh Soheilirad,Muhamad Zameri Mat Saman,Othman Ibrahim +7 more
TL;DR: In this article, a systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including step-wise weight assessment ratio analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) is presented.
Posted Content
A Systematic Review and Meta-Analysis of Swara and Waspas Methods: Theory and Applications with Recent Fuzzy Developments
Abbas Mardani,Mehrbakhsh Nilashi,Mehrbakhsh Nilashi,Norhayati Zakuan,Nanthakumar Loganathan,Somayeh Soheilirad,Muhamad Zameri Mat Saman,Othman Ibrahim +7 more
TL;DR: A systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including Step-wise Weight Assessment Ratio Analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) and fuzzy extensions which discussed in recent years are presented.
Journal ArticleDOI
A knowledge-based system for breast cancer classification using fuzzy logic method
TL;DR: Experimental results on Wisconsin Diagnostic Breast Cancer and Mammographic mass datasets show that proposed methods remarkably improves the prediction accuracy of breast cancer.